| Package | Version | Title | Maintainer |
|---|
| base | 4.5.0 | The R Base Package | R Core Team |
| compiler | 4.5.0 | The R Compiler Package | R Core Team |
| datasets | 4.5.0 | The R Datasets Package | R Core Team |
| graphics | 4.5.0 | The R Graphics Package | R Core Team |
| grDevices | 4.5.0 | The R Graphics Devices and Support for Colours and Fonts | R Core Team |
| grid | 4.5.0 | The Grid Graphics Package | R Core Team |
| methods | 4.5.0 | Formal Methods and Classes | R Core Team |
| parallel | 4.5.0 | Support for Parallel Computation in R | R Core Team |
| splines | 4.5.0 | Regression Spline Functions and Classes | R Core Team |
| stats | 4.5.0 | The R Stats Package | R Core Team |
| stats4 | 4.5.0 | Statistical Functions using S4 Classes | R Core Team |
| tcltk | 4.5.0 | Tcl/Tk Interface | R Core Team |
| tools | 4.5.0 | Tools for Package Development | R Core Team |
| utils | 4.5.0 | The R Utils Package | R Core Team |
| A3 | 1.0.0 | Accurate, Adaptable, and Accessible Error Metrics for Predictive
Models | Scott Fortmann-Roe |
| AalenJohansen | 1.0 | Conditional Aalen-Johansen Estimation | Martin Bladt |
| AATtools | 0.0.2 | Reliability and Scoring Routines for the Approach-Avoidance Task | Sercan Kahveci |
| ABACUS | 1.0.0 | Apps Based Activities for Communicating and Understanding
Statistics | Mintu Nath |
| abasequence | 0.1.0 | Coding 'ABA' Patterns for Sequence Data | Andrew Pilny |
| abbreviate | 0.1 | Readable String Abbreviation | Sigbert Klinke |
| abc | 2.2.1 | Tools for Approximate Bayesian Computation (ABC) | Blum Michael |
| abc.data | 1.1 | Data Only: Tools for Approximate Bayesian Computation (ABC) | Blum Michael |
| ABC.RAP | 0.9.0 | Array Based CpG Region Analysis Pipeline | Abdulmonem Alsaleh |
| ABCanalysis | 1.2.1 | Computed ABC Analysis | Florian Lerch |
| abclass | 0.4.0 | Angle-Based Large-Margin Classifiers | Wenjie Wang |
| ABCoptim | 0.15.0 | Implementation of Artificial Bee Colony (ABC) Optimization | George Vega Yon |
| ABCp2 | 1.2 | Approximate Bayesian Computational Model for Estimating P2 | M. Catherine Duryea |
| abcrf | 1.9 | Approximate Bayesian Computation via Random Forests | Jean-Michel Marin |
| abcrlda | 1.0.3 | Asymptotically Bias-Corrected Regularized Linear Discriminant
Analysis | Dmitriy Fedorov |
| abctools | 1.1.7 | Tools for ABC Analyses | Matt Nunes |
| abd | 0.2-8 | The Analysis of Biological Data | Kevin M. Middleton |
| abdiv | 0.2.0 | Alpha and Beta Diversity Measures | Kyle Bittinger |
| abe | 3.0.1 | Augmented Backward Elimination | Rok Blagus |
| aberrance | 0.1.0 | Detect Aberrant Behavior in Test Data | Kylie Gorney |
| abess | 0.4.8 | Fast Best Subset Selection | Jin Zhu |
| abglasso | 0.1.1 | Adaptive Bayesian Graphical Lasso | Jarod Smith |
| ABHgenotypeR | 1.0.1 | Easy Visualization of ABH Genotypes | Stefan Reuscher |
| abind | 1.4-5 | Combine Multidimensional Arrays | Tony Plate |
| abjData | 1.1.2 | Databases Used Routinely by the Brazilian Jurimetrics
Association | Julio Trecenti |
| abjutils | 0.3.2 | Useful Tools for Jurimetrical Analysis Used by the Brazilian
Jurimetrics Association | Caio Lente |
| ABM | 0.4.1 | Agent Based Model Simulation Framework | Junling Ma |
| abmR | 1.0.10 | Agent-Based Models in R | Benjamin Gochanour |
| abnormality | 0.1.0 | Measure a Subject's Abnormality with Respect to a Reference
Population | Michael Marks |
| abodOutlier | 0.1 | Angle-Based Outlier Detection | Jose Jimenez |
| ABPS | 0.3 | The Abnormal Blood Profile Score to Detect Blood Doping | Frédéric Schütz |
| abseil | 2023.8.2.1 | 'C++' Header Files from 'Abseil' | Xingchi Li |
| absorber | 1.0 | Variable Selection in Nonparametric Models using B-Splines | Mary E. Savino |
| abstr | 0.4.1 | R Interface to the A/B Street Transport System Simulation
Software | Nathanael Sheehan |
| abstractr | 0.1.0 | An R-Shiny Application for Creating Visual Abstracts | Matthew Kumar |
| ABSurvTDC | 0.1.0 | Survival Analysis using Time Dependent Covariate for Animal
Breeding | Dr. Himadri Ghosh |
| abtest | 1.0.1 | Bayesian A/B Testing | Quentin F. Gronau |
| abundant | 1.2 | High-Dimensional Principal Fitted Components and Abundant
Regression | Adam J. Rothman |
| Ac3net | 1.2.2 | Inferring Directional Conservative Causal Core Gene Networks | Gokmen Altay |
| ACA | 1.1 | Abrupt Change-Point or Aberration Detection in Point Series | Daniel Amorese |
| AcademicThemes | 0.0.2 | Colour Plots with Palettes from Academic Institutions | Hugh Warden |
| academictwitteR | 0.3.1 | Access the Twitter Academic Research Product Track V2 API
Endpoint | Christopher Barrie |
| acc | 1.3.3 | Exploring Accelerometer Data | Jaejoon Song |
| acca | 0.2 | A Canonical Correlation Analysis with Inferential Guaranties | livio finos |
| accelerometry | 3.1.2 | Functions for Processing Accelerometer Data | Dane R. Van Domelen |
| accelmissing | 1.4 | Missing Value Imputation for Accelerometer Data | Jung Ae Lee |
| AccelStab | 2.0.1 | Accelerated Stability Kinetic Modelling | Ben Wells |
| accept | 1.0.0 | The Acute COPD Exacerbation Prediction Tool (ACCEPT) | Amin Adibi |
| AcceptanceSampling | 1.0-10 | Creation and Evaluation of Acceptance Sampling Plans | Andreas Kiermeier |
| accessibility | 1.4.0 | Transport Accessibility Measures | Daniel Herszenhut |
| accessrmd | 1.0.0 | Improving the Accessibility of 'rmarkdown' Documents | Rich Leyshon |
| accrual | 1.4 | Bayesian Accrual Prediction | Junhao Liu |
| accrualPlot | 1.0.7 | Accrual Plots and Predictions for Clinical Trials | Lukas Bütikofer |
| accSDA | 1.1.3 | Accelerated Sparse Discriminant Analysis | Gudmundur Einarsson |
| accucor | 0.3.1 | Natural Abundance Correction of Mass Spectrometer Data | Lance Parsons |
| accumulate | 0.9.3 | Split-Apply-Combine with Dynamic Groups | Mark van der Loo |
| acdcquery | 1.0.1 | Query the Attentional Control Data Collection | Sven Lesche |
| acdcR | 1.0.0 | Agro-Climatic Data by County | Seong D. Yun |
| ACDm | 1.0.4.3 | Tools for Autoregressive Conditional Duration Models | Markus Belfrage |
| ACE.CoCo | 0.1 | Analysis of Correlated High-Dimensional Expression (ACE) Data | Peng Wang |
| ace2fastq | 0.6.0 | ACE File to FASTQ Converter | Reinhard Simon |
| acebayes | 1.10 | Optimal Bayesian Experimental Design using the ACE Algorithm | Antony M. Overstall |
| aceEditor | 1.0.1 | The 'Ace' Editor as a HTML Widget | Stéphane Laurent |
| ACEP | 0.0.22 | Analisis Computacional de Eventos de Protesta | Agustin Nieto |
| acepack | 1.4.2 | ACE and AVAS for Selecting Multiple Regression Transformations | Shawn Garbett |
| ACEsearch | 1.0.0 | 'ACE' Search Engine API | Vladimir Polony |
| ACEsimFit | 0.0.0.9 | ACE Kin Pair Data Simulations and Model Fitting | Xuanyu Lyu |
| ACEt | 1.9.0 | Estimating Dynamic Heritability and Twin Model Comparison | Liang He |
| acfMPeriod | 1.0.0 | Robust Estimation of the ACF from the M-Periodogram | Higor Cotta |
| Achilles | 1.7.2 | Achilles Data Source Characterization | Frank DeFalco |
| acid | 1.1 | Analysing Conditional Income Distributions | Alexander Sohn |
| acled.api | 1.1.7 | Automated Retrieval of ACLED Conflict Event Data | Christoph Dworschak |
| ACNE | 0.9.1 | Affymetrix SNP Probe-Summarization using Non-Negative Matrix
Factorization | Henrik Bengtsson |
| acnr | 1.0.0 | Annotated Copy-Number Regions | Morgane Pierre-Jean |
| acopula | 0.9.4 | Modelling Dependence with Multivariate Archimax (or any
User-Defined Continuous) Copulas | Tomas Bacigal |
| AcousticNDLCodeR | 1.0.2 | Coding Sound Files for Use with NDL | Denis Arnold |
| acp | 2.1 | Autoregressive Conditional Poisson | Siakoulis Vasilios |
| acro | 0.1.1 | A Tool for Automating the Statistical Disclosure Control of
Research Outputs | Jim Smith |
| acroname | 0.1.0 | Engine for Acronyms and Initialisms | VP Nagraj |
| AcrossTic | 1.0-3 | A Cost-Minimal Regular Spanning Subgraph with TreeClust | Sam Buttrey |
| acs | 2.1.4 | Download, Manipulate, and Present American Community Survey and
Decennial Data from the US Census | Ezra Haber Glenn |
| acss | 0.2-5 | Algorithmic Complexity for Short Strings | Henrik Singmann |
| acss.data | 1.0 | Data Only: Algorithmic Complexity of Short Strings (Computed via
Coding Theorem Method) | Henrik Singmann |
| ACSWR | 1.0 | A Companion Package for the Book "A Course in Statistics with R" | Prabhanjan Tattar |
| act | 1.3.1 | Aligned Corpus Toolkit | Oliver Ehmer |
| ACTCD | 1.3-0 | Asymptotic Classification Theory for Cognitive Diagnosis | Wenchao Ma |
| ActCR | 0.3.0 | Extract Circadian Rhythms Metrics from Actigraphy Data | Junrui Di |
| actel | 1.3.0 | Acoustic Telemetry Data Analysis | Hugo Flávio |
| ActFrag | 0.1.1 | Activity Fragmentation Metrics Extracted from Minute Level
Activity Data | Junrui Di |
| actilifecounts | 1.1.1 | Generate Activity Counts from Raw Accelerometer Data | Jairo Hidalgo Migueles |
| activAnalyzer | 2.0.2 | A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical
Behavior Data | Pierre-Yves de Müllenheim |
| activatr | 0.2.0 | Utilities for Parsing and Plotting Activities | Daniel Schafer |
| ActiveDriver | 1.0.0 | Finding Cancer Driver Proteins with Enriched Mutations in
Post-Translational Modification Sites | Juri Reimand |
| activegp | 1.1.0 | Gaussian Process Based Design and Analysis for the Active
Subspace Method | Nathan Wycoff |
| ActivePathways | 2.0.3 | Integrative Pathway Enrichment Analysis of Multivariate Omics
Data | Juri Reimand |
| activity | 1.3.4 | Animal Activity Statistics | Marcus Rowcliffe |
| ActivityIndex | 0.3.7 | Activity Index Calculation using Raw 'Accelerometry' Data | Jiawei Bai |
| activPAL | 0.1.3 | Advanced Processing and Chart Generation from activPAL Events
Files | Craig Speirs |
| actLifer | 1.0.0 | Creating Actuarial Life Tables | Grace Rade |
| actogrammr | 0.2.3 | Read in Activity Data and Plot Actograms | Robert Corty |
| actuar | 3.3-4 | Actuarial Functions and Heavy Tailed Distributions | Vincent Goulet |
| actuaRE | 0.1.5 | Handling Hierarchically Structured Risk Factors using Random
Effects Models | Campo Bavo D.C. |
| ActuarialM | 0.1.0 | Computation of Actuarial Measures Using Bell G Family | Muhammad Imran |
| actuaryr | 1.1.1 | Develop Actuarial Models | Zuzanna Chmielewska |
| actxps | 1.4.0 | Create Actuarial Experience Studies: Prepare Data, Summarize
Results, and Create Reports | Matt Heaphy |
| AcuityView | 0.1 | A Package for Displaying Visual Scenes as They May Appear to an
Animal with Lower Acuity | Eleanor Caves |
| acumos | 0.4-4 | 'Acumos' R Interface | Alassane Samba |
| ACV | 1.0.2 | Optimal Out-of-Sample Forecast Evaluation and Testing under
Stationarity | Filip Stanek |
| ACWR | 0.1.0 | Acute Chronic Workload Ratio Calculation | Jorge R Fernandez-Santos |
| ada | 2.0-5 | The R Package Ada for Stochastic Boosting | Mark Culp |
| adabag | 5.0 | Applies Multiclass AdaBoost.M1, SAMME and Bagging | Esteban Alfaro |
| adace | 1.0.2 | Estimator of the Adherer Average Causal Effect | Run Zhuang |
| adagio | 0.9.2 | Discrete and Global Optimization Routines | Hans W. Borchers |
| adaHuber | 1.1 | Adaptive Huber Estimation and Regression | Xiaoou Pan |
| adamethods | 1.2.1 | Archetypoid Algorithms and Anomaly Detection | Guillermo Vinue |
| adana | 1.1.0 | Adaptive Nature-Inspired Algorithms for Hybrid Genetic
Optimization | Erkut Tekeli |
| AdapSamp | 1.1.1 | Adaptive Sampling Algorithms | Dong Zhang |
| adapt4pv | 0.2-3 | Adaptive Approaches for Signal Detection in Pharmacovigilance | Emeline Courtois |
| adaptalint | 0.2.4 | Check Code Style Painlessly | Max Conway |
| adaptDiag | 0.1.0 | Bayesian Adaptive Designs for Diagnostic Trials | Graeme L. Hickey |
| AdaptGauss | 1.6 | Gaussian Mixture Models (GMM) | Michael Thrun |
| adaptiveGPCA | 0.1.3 | Adaptive Generalized PCA | Julia Fukuyama |
| AdaptiveSparsity | 1.6 | Adaptive Sparsity Models | Kris Campbell |
| adaptivetau | 2.3 | Tau-Leaping Stochastic Simulation | Philip Johnson |
| adaptIVPT | 1.1.0 | Adaptive Bioequivalence Design for In-Vitro Permeation Tests | Daeyoung Lim |
| adaptMCMC | 1.5 | Implementation of a Generic Adaptive Monte Carlo Markov Chain
Sampler | Andreas Scheidegger |
| adaptMT | 1.0.0 | Adaptive P-Value Thresholding for Multiple Hypothesis Testing
with Side Information | Lihua Lei |
| adaptr | 1.3.2 | Adaptive Trial Simulator | Anders Granholm |
| ADAPTS | 1.0.22 | Automated Deconvolution Augmentation of Profiles for Tissue
Specific Cells | Samuel A Danziger |
| adaptsmoFMRI | 1.2 | Adaptive Smoothing of FMRI Data | Maximilian Hughes |
| adaptTest | 1.2 | Adaptive Two-Stage Tests | Marc Vandemeulebroecke |
| adaR | 0.3.2 | A Fast 'WHATWG' Compliant URL Parser | David Schoch |
| AdaSampling | 1.3 | Adaptive Sampling for Positive Unlabeled and Label Noise
Learning | Pengyi Yang |
| adbcdrivermanager | 0.11.0 | 'Arrow' Database Connectivity ('ADBC') Driver Manager | Dewey Dunnington |
| adbcpostgresql | 0.11.0 | 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver | Dewey Dunnington |
| adbcsqlite | 0.10.0 | 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver | Dewey Dunnington |
| adbi | 0.1.1 | 'DBI' Compliant Database Access Using 'ADBC' | Nicolas Bennett |
| adc | 1.0.0 | Calculate Antecedent Discharge Conditions | Michael Schramm |
| ADCT | 0.1.0 | Adaptive Design in Clinical Trials | Yalin Zhu |
| add2ggplot | 0.3.0 | Add to 'ggplot2' | Jiaxiang Li |
| addhaz | 0.5 | Binomial and Multinomial Additive Hazard Models | Renata T C Yokota |
| addhazard | 1.1.0 | Fit Additive Hazards Models for Survival Analysis | Jie (Kate) Hu |
| addinsJoaoMelo | 0.1.0 | Addins Made of Joao Melo | Joao Melo |
| addinslist | 0.5.0 | Discover and Install Useful RStudio Addins | Dean Attali |
| addinsOutline | 0.1.6 | 'RStudio' Addins for Show Outline of a R Markdown/'LaTeX'
Project | Pedro L. Luque-Calvo |
| additive | 0.0.5 | Bindings for Additive TidyModels | Hamada S. Badr |
| additiveDEA | 1.1 | Additive Data Envelopment Analysis Models | Andreas Diomedes Soteriades |
| additivityTests | 1.1-4.1 | Additivity Tests in the Two Way Anova with Single Sub-Class
Numbers | Petr Simecek |
| addreg | 3.0 | Additive Regression for Discrete Data | Mark W. Donoghoe |
| addScales | 1.0-1 | Adds Labeled Center Line and Scale Lines/Regions to Trellis
Plots | Bert Gunter |
| ADDT | 2.0 | Analysis of Accelerated Destructive Degradation Test Data | Yili Hong |
| ade4 | 1.7-22 | Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences | Aurélie Siberchicot |
| ade4TkGUI | 0.3-1 | 'ade4' Tcl/Tk Graphical User Interface | Aurélie Siberchicot |
| adea | 1.5.1 | Alternate DEA Package | Manuel Munoz-Marquez |
| adegenet | 2.1.10 | Exploratory Analysis of Genetic and Genomic Data | Zhian N. Kamvar |
| adegraphics | 1.0-21 | An S4 Lattice-Based Package for the Representation of
Multivariate Data | Aurélie Siberchicot |
| adehabitatHR | 0.4.21 | Home Range Estimation | Clement Calenge |
| adehabitatHS | 0.3.17 | Analysis of Habitat Selection by Animals | Clement Calenge |
| adehabitatLT | 0.3.27 | Analysis of Animal Movements | Clement Calenge |
| adehabitatMA | 0.3.16 | Tools to Deal with Raster Maps | Clement Calenge |
| adephylo | 1.1-16 | Exploratory Analyses for the Phylogenetic Comparative Method | Aurélie Siberchicot |
| adepro | 3.2.0 | A 'shiny' Application for the (Audio-)Visualization of Adverse
Event Profiles | Nicole Mentenich |
| adept | 1.2 | Adaptive Empirical Pattern Transformation | Marta Karas |
| adeptdata | 1.1 | Accelerometry Data Sets | Marta Karas |
| AdequacyModel | 2.0.0 | Adequacy of Probabilistic Models and General Purpose
Optimization | Pedro Rafael Diniz Marinho |
| ADER | 1.5 | Data Analysis in Ecology | Marcelino De la Cruz |
| adespatial | 0.3-23 | Multivariate Multiscale Spatial Analysis | Aurélie Siberchicot |
| adestr | 0.5.0 | Estimation in Optimal Adaptive Two-Stage Designs | Jan Meis |
| adfExplorer | 0.1.8 | Import from and Export to Amiga Disk Files | Pepijn de Vries |
| adformR | 0.1.0 | Get Adform Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| ADGofTest | 0.3 | Anderson-Darling GoF test | Carlos J. Gil Bellosta |
| adheRenceRX | 1.0.0 | Assess Medication Adherence from Pharmaceutical Claims Data | Brennan Beal |
| AdhereR | 0.8.1 | Adherence to Medications | Dan Dediu |
| AdhereRViz | 0.2.1 | Adherence to Medications | Dan Dediu |
| adimpro | 0.9.6 | Adaptive Smoothing of Digital Images | Karsten Tabelow |
| adiv | 2.2.1 | Analysis of Diversity | Sandrine Pavoine |
| adjclust | 0.6.9 | Adjacency-Constrained Clustering of a Block-Diagonal Similarity
Matrix | Pierre Neuvial |
| adjROC | 0.3 | Computing Sensitivity at a Fix Value of Specificity and Vice
Versa as Well as Bootstrap Metrics for ROC Curves | E. F. Haghish |
| adjSURVCI | 1.0 | Parameter and Adjusted Probability Estimation for Right-Censored
Data | Manoj Khanal |
| adjustedcranlogs | 0.1.0 | Remove Automated and Repeated Downloads from 'RStudio' 'CRAN'
Download Logs | Tyler Morgan-Wall |
| adjustedCurves | 0.11.0 | Confounder-Adjusted Survival Curves and Cumulative Incidence
Functions | Robin Denz |
| adklakedata | 0.6.1 | Adirondack Long-Term Lake Data | Luke Winslow |
| adlift | 1.4-5 | An Adaptive Lifting Scheme Algorithm | Matt Nunes |
| admiral | 1.0.2 | ADaM in R Asset Library | Ben Straub |
| admiral.test | 0.7.0 | Test Data for the 'admiral' Package | Ben Straub |
| admiraldev | 1.0.0 | Utility Functions and Development Tools for the Admiral Package
Family | Ben Straub |
| admiralonco | 1.0.0 | Oncology Extension Package for ADaM in 'R' Asset Library | Stefan Bundfuss |
| admiralophtha | 1.0.0 | ADaM in R Asset Library - Ophthalmology | Edoardo Mancini |
| admiralvaccine | 0.2.0 | Vaccine Extension Package for ADaM in 'R' Asset Library | Sukalpo Saha |
| admisc | 0.35 | Adrian Dusa's Miscellaneous | Adrian Dusa |
| AdMit | 2.1.9 | Adaptive Mixture of Student-t Distributions | David Ardia |
| admix | 2.1-2 | Package Admix for Admixture (aka Contamination) Models | Xavier Milhaud |
| admixr | 0.9.1 | An Interface for Running 'ADMIXTOOLS' Analyses | Martin Petr |
| ADMM | 0.3.3 | Algorithms using Alternating Direction Method of Multipliers | Kisung You |
| admmDensestSubmatrix | 0.1.0 | Alternating Direction Method of Multipliers to Solve Dense
Dubmatrix Problem | Polina Bombina |
| ADMMsigma | 2.1 | Penalized Precision Matrix Estimation via ADMM | Matt Galloway |
| admtools | 0.2.0 | Estimate and Manipulate Age-Depth Models | Niklas Hohmann |
| ADMUR | 1.0.3 | Ancient Demographic Modelling Using Radiocarbon | Adrian Timpson |
| adnuts | 1.1.2 | No-U-Turn MCMC Sampling for 'ADMB' Models | Cole Monnahan |
| adobeanalyticsr | 0.4.0 | R Client for 'Adobe Analytics' API 2.0 | Ben Woodard |
| ADP | 0.1.6 | Adoption Probability, Triers and Users Rate of a New Product | Mickey Kislev |
| ADPclust | 0.7 | Fast Clustering Using Adaptive Density Peak Detection | Yifan (Ethan) Xu |
| ADPF | 0.0.1 | Use Least Squares Polynomial Regression and Statistical Testing
to Improve Savitzky-Golay | Samuel Kruse |
| adproclus | 1.0.2 | Additive Profile Clustering Algorithms | Henry Heppe |
| adpss | 0.1.2 | Design and Analysis of Locally or Globally Efficient Adaptive
Designs | Kosuke Kashiwabara |
| ads | 1.5-10 | Spatial Point Patterns Analysis | Dominique Lamonica |
| adsDataHubR | 0.1.1 | Google Ads Data Hub API Client | Pankaj Bhatlawande |
| ADTSA | 1.0.1 | Time Series Analysis | Leila Marvian Mashhad |
| AdvancedBasketballStats | 1.0.1 | Advanced Basketball Statistics | Francisco Javier Cantero |
| AdvBinomApps | 1.0 | Upper Clopper-Pearson Confidence Limits for Burn-in Studies
under Additional Available Information | Horst Lewitschnig |
| AdvDif4 | 0.7.18 | Solving 1D Advection Bi-Flux Diffusion Equation | Jader Lugon Junior |
| adventr | 0.1.8 | Interactive R Tutorials to Accompany Field (2016), "An Adventure
in Statistics" | Andy Field |
| ADVICE | 1.0 | Automatic Direct Variable Selection via Interrupted Coefficient
Estimation | L. Tazik |
| adw | 0.3.1 | Angular Distance Weighting Interpolation | Panfeng Zhang |
| adwave | 1.3 | Wavelet Analysis of Genomic Data from Admixed Populations | Murray Cox |
| adwordsR | 0.3.1 | Access the 'Google Adwords' API | Sean Longthorpe |
| aeddo | 0.1.1 | Automated and Early Detection of Disease Outbreaks | Lasse Engbo Christiansen |
| AEDForecasting | 0.20.0 | Change Point Analysis in ARIMA Forecasting | Nhat Cuong Pham |
| aedseo | 0.1.2 | Automated and Early Detection of Seasonal Epidemic Onset | Lasse Engbo Christiansen |
| AEenrich | 1.1.0 | Adverse Event Enrichment Tests | Michael Kleinsasser |
| AEP | 0.1.4 | Statistical Modelling for Asymmetric Exponential Power
Distribution | Mahdi Teimouri |
| AER | 1.2-12 | Applied Econometrics with R | Achim Zeileis |
| AeRobiology | 2.0.1 | A Computational Tool for Aerobiological Data | "Jose Oteros" |
| AeroSampleR | 0.2.0 | Estimate Aerosol Particle Collection Through Sample Lines | Mark Hogue |
| AF | 0.1.5 | Model-Based Estimation of Confounder-Adjusted Attributable
Fractions | Elisabeth Dahlqwist |
| afc | 1.4.0 | Generalized Discrimination Score | Jonas Bhend |
| afcolours | 1.0.0 | Government Analysis Function Recommended Accessible Colour
Palette | Luke Davies |
| afdx | 1.1.1 | Diagnosis Performance Using Attributable Fraction | John J. Aponte |
| afex | 1.3-1 | Analysis of Factorial Experiments | Henrik Singmann |
| AFFECT | 0.1.2 | Accelerated Functional Failure Time Model with
Error-Contaminated Survival Times | Hsiao-Ting Huang |
| affinity | 0.2.5 | Raster Georeferencing, Grid Affine Transforms, Cell Abstraction | Michael D. Sumner |
| affinitymatrix | 0.1.0 | Estimation of Affinity Matrix | Edoardo Ciscato |
| affluenceIndex | 2.1 | Affluence (Richness) Indices | Alicja Wolny-Dominiak |
| AFheritability | 0.1.0 | The Attributable Fraction (AF) Described as a Function of
Disease Heritability, Prevalence and Intervention Specific
Factors | Elisabeth Dahlqwist |
| AFM | 2.0 | Atomic Force Microscope Image Analysis | Mathieu Beauvais |
| afmToolkit | 0.0.1 | Functions for Atomic Force Microscope Force-Distance Curves
Analysis | Rafael Benitez |
| afpt | 1.1.0.4 | Tools for Modelling of Animal Flight Performance | Marco KleinHeerenbrink |
| AFR | 0.3.5 | Toolkit for Regression Analysis of Kazakhstan Banking Sector
Data | Alua Makhmetova |
| africamonitor | 0.2.4 | Africa Macroeconomic Monitor Database API | Sebastian Krantz |
| aftgee | 1.2.0 | Accelerated Failure Time Model with Generalized Estimating
Equations | Sy Han Chiou |
| afthd | 1.1.0 | Accelerated Failure Time for High Dimensional Data with MCMC | Atanu Bhattacharjee |
| aftR2 | 0.1.0 | R-Squared Measure under Accelerated Failure Time (AFT) Models | Yuyao Wang |
| afttest | 4.3.2.3 | Model Diagnostics for Accelerated Failure Time Models | Woojung Bae |
| ag5Tools | 0.0.2 | Toolbox for Downloading and Extracting Copernicus AgERA5 Data | David Brown |
| agcounts | 0.6.6 | Calculate 'ActiGraph' Counts from Accelerometer Data | Brian C. Helsel |
| AGD | 0.39 | Analysis of Growth Data | Stef van Buuren |
| ageg | 1.0.0 | Age Grouping Functions | Austin Anders |
| agena.ai | 1.1.1 | R Wrapper for 'agena.ai' API | Eugene Dementiev |
| ageutils | 0.0.2 | Collection of Functions for Working with Age Intervals | Tim Taylor |
| agfh | 0.2.1 | Agnostic Fay-Herriot Model for Small Area Statistics | Marten Thompson |
| agghoo | 0.1-0 | Aggregated Hold-Out Cross Validation | Benjamin Auder |
| AggregateR | 0.1.1 | Aggregate Numeric, Date and Categorical Variables | Matthias Bogaert |
| aggregation | 1.0.1 | p-Value Aggregation Methods | Lynn Yi |
| aggTrees | 2.0.2 | Aggregation Trees | Riccardo Di Francesco |
| aggutils | 1.0.2 | Utilities for Aggregating Probabilistic Forecasts | Molly Hickman |
| AGHmatrix | 2.1.4 | Relationship Matrices for Diploid and Autopolyploid Species | Rodrigo Amadeu |
| aghq | 0.4.1 | Adaptive Gauss Hermite Quadrature for Bayesian Inference | Alex Stringer |
| aglm | 0.4.0 | Accurate Generalized Linear Model | Kenji Kondo |
| agop | 0.2.4 | Aggregation Operators and Preordered Sets | Marek Gagolewski |
| AGPRIS | 2.0 | AGricultural PRoductivity in Space | Edoardo Baldoni |
| agRee | 0.5-3 | Various Methods for Measuring Agreement | Dai Feng |
| AgreementInterval | 0.1.1 | Agreement Interval of Two Measurement Methods | Jialin Xu |
| agricolae | 1.3-7 | Statistical Procedures for Agricultural Research | Felipe de Mendiburu |
| agricolaeplotr | 0.5.0 | Visualization of Design of Experiments from the 'agricolae'
Package | Jens Harbers |
| agridat | 1.23 | Agricultural Datasets | Kevin Wright |
| agrifeature | 1.0.3 | Agriculture Image Feature | Chun-Han Lee |
| agriTutorial | 0.1.5 | Tutorial Analysis of Some Agricultural Experiments | Rodney Edmondson |
| agriutilities | 1.2.0 | Utilities for Data Analysis in Agriculture | Johan Aparicio |
| agriwater | 1.0.2 | Evapotranspiration and Energy Fluxes Spatial Analysis | Cesar de Oliveira Ferreira Silva |
| agrmt | 1.42.12 | Calculate Concentration and Dispersion in Ordered Rating Scales | Didier Ruedin |
| AgroR | 1.3.5 | Experimental Statistics and Graphics for Agricultural Sciences | Gabriel Danilo Shimizu |
| AgroReg | 1.2.10 | Regression Analysis Linear and Nonlinear for Agriculture | Gabriel Danilo Shimizu |
| agrostab | 0.1.0 | Stability Analysis for Agricultural Research | Anna Cheshkova |
| AgroTech | 1.0.2 | Data Analysis of Pesticide Application Technology | Rodrigo Yudi Palhaci Marubayashi |
| ags | 1.0.1 | Crosswalk Municipality and District Statistics in Germany | Moritz Marbach |
| agtboost | 0.9.3 | Adaptive and Automatic Gradient Boosting Computations | Berent Ånund Strømnes Lunde |
| agua | 0.1.3 | 'tidymodels' Integration with 'h2o' | Qiushi Yan |
| agvgd | 0.1.2 | An R Implementation of the 'Align-GVGD' Method | Ramiro Magno |
| ahaz | 1.15 | Regularization for Semiparametric Additive Hazards Regression | Anders Gorst-Rasmussen |
| AHM | 1.0.1 | Additive Heredity Model: Method for the Mixture-of-Mixtures
Experiments | Sumin Shen |
| AHMbook | 0.2.9 | Functions and Data for the Book 'Applied Hierarchical Modeling
in Ecology' Vols 1 and 2 | Ken Kellner |
| ahMLE | 1.20.1 | Methods for the Additive Hazard Model | Chengyuan Lu |
| ahnr | 0.3.1 | An Implementation of the Artificial Hydrocarbon Networks | Jose Roberto Ayala Solares |
| AhoCorasickTrie | 0.1.2 | Fast Searching for Multiple Keywords in Multiple Texts | Matt Chambers |
| AHPGaussian | 0.1.1 | New Multicriteria Method: AHPGaussian | Cid Edson Povoas |
| AHPhybrid | 0.1.0 | AHP Hybrid Method | Miguel Angelo Lellis Moreira |
| ahpsurvey | 0.4.1 | Analytic Hierarchy Process for Survey Data | Frankie Cho |
| AHPtools | 0.2.1 | Consistency in the Analytic Hierarchy Process | Amarnath Bose |
| ahptopsis2n | 0.2.0 | Hybrid Method for Multiple Criteria Decision-Making (MCDM) | Raquel Coutinho |
| AHPWR | 0.1.0 | Compute Analytic Hierarchy Process | Luciane Ferreira Alcoforado |
| AHSurv | 0.1.0 | Flexible Parametric Accelerated Hazards Models | Abdisalam Hassan Muse |
| ahw | 0.1.0 | Calculates Continuous Time Likelihood Ratio Weights Assuming
Multiplicative Intensity Models and Additive Hazard Models | Pål Christie Ryalen |
| aIc | 1.0 | Testing for Compositional Pathologies in Datasets | Greg Gloor |
| AICcmodavg | 2.3-3 | Model Selection and Multimodel Inference Based on (Q)AIC(c) | Marc J. Mazerolle |
| AICcPermanova | 0.0.2 | Model Selection of PERMANOVA Models Using AICc | Derek Corcoran |
| AID | 2.9 | Box-Cox Power Transformation | Osman Dag |
| aidar | 1.0.5 | Tools for Reading AIDA Files | Andreas Pfeiffer |
| aides | 1.3.3 | Additive Information & Details of Evidence Synthesis | Enoch Kang |
| aifeducation | 0.3.2 | Artificial Intelligence for Education | Berding Florian |
| aihuman | 0.1.0 | Experimental Evaluation of Algorithm-Assisted Human
Decision-Making | Sooahn Shin |
| aimPlot | 1.0.0 | Create Pie Like Plot for Completeness | Yusman Kamaleri |
| aimsir17 | 0.0.2 | Irish Weather Observing Stations Hourly Records for 2017 | Jim Duggan |
| aion | 1.0.2 | Archaeological Time Series | Nicolas Frerebeau |
| AIPW | 0.6.3.2 | Augmented Inverse Probability Weighting | Yongqi Zhong |
| air | 0.2.2 | AI Assistant to Write and Understand R Code | Soumya Ray |
| aire.zmvm | 0.9.0 | Download Mexico City Pollution, Wind, and Temperature Data | Diego Valle-Jones |
| airGR | 1.7.6 | Suite of GR Hydrological Models for Precipitation-Runoff
Modelling | Olivier Delaigue |
| airGRdatasets | 0.2.1 | Hydro-Meteorological Catchments Datasets for the 'airGR'
Packages | Olivier Delaigue |
| airGRdatassim | 0.1.3 | Ensemble-Based Data Assimilation with GR Hydrological Models | Olivier Delaigue |
| airGRiwrm | 0.6.2 | 'airGR' Integrated Water Resource Management | David Dorchies |
| airGRteaching | 0.3.2 | Teaching Hydrological Modelling with the GR Rainfall-Runoff
Models ('Shiny' Interface Included) | Olivier Delaigue |
| aiRly | 0.1.0 | R Wrapper for 'Airly' API | Piotr Janus |
| AirMonitor | 0.4.0 | Air Quality Data Analysis | Jonathan Callahan |
| airnow | 0.1.0 | Retrieve 'AirNow' Air Quality Observations and Forecasts | Brian Connelly |
| airportr | 0.1.3 | Convenience Tools for Working with Airport Data | Dmitry Shkolnik |
| airports | 0.1.0 | Data on Airports | Mine Çetinkaya-Rundel |
| airqualityES | 1.0.0 | Air Quality Measurements in Spain from 2011 to 2018 | Jose V. Die |
| airr | 1.5.0 | AIRR Data Representation Reference Library | Jason Vander Heiden |
| airt | 0.2.2 | Evaluation of Algorithm Collections Using Item Response Theory | Sevvandi Kandanaarachchi |
| aiRthermo | 1.2.1 | Atmospheric Thermodynamics and Visualization | Santos J. González-Rojí |
| aisoph | 0.4 | Additive Isotonic Proportional Hazards Model | Yunro Chung |
| AIUQ | 0.5.1 | Ab Initio Uncertainty Quantification | Mengyang Gu |
| ajv | 1.0.0 | Another JSON Schema Validator | Jason Thorpe |
| akc | 0.9.9 | Automatic Knowledge Classification | Tian-Yuan Huang |
| Ake | 1.0.1 | Associated Kernel Estimations | W. E. Wansouwé |
| akiFlagger | 0.3.0 | Flags Acute Kidney Injury (AKI) | Ishan Saran |
| akima | 0.6-3.4 | Interpolation of Irregularly and Regularly Spaced Data | Albrecht Gebhardt |
| akmbiclust | 0.1.0 | Alternating K-Means Biclustering | Zichao Li |
| alabama | 2023.1.0 | Constrained Nonlinear Optimization | Ravi Varadhan |
| alakazam | 1.3.0 | Immunoglobulin Clonal Lineage and Diversity Analysis | Susanna Marquez |
| alarmdata | 0.2.1 | Download, Merge, and Process Redistricting Data | Cory McCartan |
| ALassoSurvIC | 0.1.1 | Adaptive Lasso for the Cox Regression with Interval Censored and
Possibly Left Truncated Data | Daewoo Pak |
| albatross | 0.3-7 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Ivan Krylov |
| albopictus | 0.5 | Age-Structured Population Dynamics Model | Kamil Erguler |
| ald | 1.3.1 | The Asymmetric Laplace Distribution | Christian E. Galarza |
| ALDqr | 1.0 | Quantile Regression Using Asymmetric Laplace Distribution | Luis Benites Sanchez |
| aldvmm | 0.8.8 | Adjusted Limited Dependent Variable Mixture Models | Mark Pletscher |
| ale | 0.3.0 | Interpretable Machine Learning and Statistical Inference with
Accumulated Local Effects (ALE) | Chitu Okoli |
| ALEPlot | 1.1 | Accumulated Local Effects (ALE) Plots and Partial Dependence
(PD) Plots | Dan Apley |
| aLFQ | 1.3.6 | Estimating Absolute Protein Quantities from Label-Free LC-MS/MS
Proteomics Data | George Rosenberger |
| alfr | 1.2.1 | Connectivity to 'Alfresco' Content Management Repositories | Roy Wetherall |
| alfred | 0.2.1 | Downloading Time Series from ALFRED Database for Various
Vintages | Onno Kleen |
| algaeClassify | 2.0.2 | Tools to Standardize Phytoplankton Taxonomic Data and Perform
Functional Group Classifications | Vijay Patil |
| AlgDesign | 1.2.1 | Algorithmic Experimental Design | Jerome Braun |
| AlgebraicHaploPackage | 1.2 | Haplotype Two Snips Out of a Paired Group of Patients | Jan Wolfertz |
| algo | 0.1.0 | Implement an Address Search Auto Completion Menu on 'Shiny' Text
Inputs Using the 'Algolia Places' 'Javascript' Library | Mohamed El Fodil Ihaddaden |
| algorithmia | 0.3.0 | Allows you to Easily Interact with the Algorithmia Platform | Robert Fulton |
| aliases2entrez | 0.1.2 | Converts Human gene symbols to entrez IDs | Raphael Bonnet |
| align | 0.1.0 | A Modified DTW Algorithm for Stratigraphic Time Series Alignment | Cedric Hagen |
| alkahest | 1.1.1 | Pre-Processing XY Data from Experimental Methods | Nicolas Frerebeau |
| allcontributors | 0.1.1 | Acknowledge all Contributors to a Project | Mark Padgham |
| alleHap | 0.9.9 | Allele Imputation and Haplotype Reconstruction from Pedigree
Databases | Nathan Medina-Rodriguez |
| allelematch | 2.5.4 | Identifying Unique Multilocus Genotypes where Genotyping Error
and Missing Data may be Present | Todd Cross |
| AlleleRetain | 2.0.2 | Allele Retention, Inbreeding, and Demography | Emily Weiser |
| AlleleShift | 1.1-2 | Predict and Visualize Population-Level Changes in Allele
Frequencies in Response to Climate Change | Roeland Kindt |
| AllelicSeries | 0.0.4.1 | Allelic Series Test | Zachary McCaw |
| allestimates | 0.2.3 | Effect Estimates from All Models | Zhiqiang Wang |
| AllMetrics | 0.2.1 | Calculating Multiple Performance Metrics of a Prediction Model | Dr. Sandip Garai |
| allMT | 0.1.0 | Acute Lymphoblastic Leukemia Maintenance Therapy Analysis | Tushar Mungle |
| allofus | 1.1.0 | Interface for 'All of Us' Researcher Workbench | Rob Cavanaugh |
| allometric | 2.1.0 | Structured Allometric Models for Trees | Bryce Frank |
| allomr | 0.3.0 | Removing Allometric Effects of Body Size in Morphological
Analysis | Sämi Schär |
| Allspice | 1.0.7 | RNA-Seq Profile Classifier | Ville-Petteri Makinen |
| alluvial | 0.1-2 | Alluvial Diagrams | Michal Bojanowski |
| almanac | 1.0.0 | Tools for Working with Recurrence Rules | Davis Vaughan |
| alone | 0.3 | Datasets from the Survival TV Series Alone | Daniel Oehm |
| alookr | 0.3.9 | Model Classifier for Binary Classification | Choonghyun Ryu |
| aloom | 0.1.1 | All Leave-One-Out Models | Damjan Krstajic |
| alpaca | 0.3.4 | Fit GLM's with High-Dimensional k-Way Fixed Effects | Amrei Stammann |
| alpha.correction.bh | 0.0.1 | Benjamini-Hochberg Alpha Correction | Michael Mogessie |
| alphabetr | 0.2.2 | Algorithms for High-Throughput Sequencing of Antigen-Specific T
Cells | Edward Lee |
| alphaci | 1.0.1 | Confidence Intervals for Coefficient Alpha and Standardized
Alpha | Jonas Moss |
| alphahull | 2.5 | Generalization of the Convex Hull of a Sample of Points in the
Plane | Beatriz Pateiro-Lopez |
| alphaN | 0.1.0 | Set Alpha Based on Sample Size Using Bayes Factors | Jesper Wulff |
| alphaOutlier | 1.2.0 | Obtain Alpha-Outlier Regions for Well-Known Probability
Distributions | Andre Rehage |
| AlphaPart | 0.9.8 | Partition/Decomposition of Breeding Values by Paths of
Information | Gregor Gorjanc |
| alphashape3d | 1.3.2 | Implementation of the 3D Alpha-Shape for the Reconstruction of
3D Sets from a Point Cloud | Beatriz Pateiro-Lopez |
| AlphaSimR | 1.5.3 | Breeding Program Simulations | Chris Gaynor |
| alphastable | 0.2.1 | Inference for Stable Distribution | Mahdi Teimouri |
| alphavantager | 0.1.3 | Lightweight Interface to the Alpha Vantage API | Matt Dancho |
| alqrfe | 1.1 | Adaptive Lasso Quantile Regression with Fixed Effects | Ian Meneghel Danilevicz |
| alr4 | 1.0.6 | Data to Accompany Applied Linear Regression 4th Edition | Sanford Weisberg |
| ALS | 0.0.7 | Multivariate Curve Resolution Alternating Least Squares
(MCR-ALS) | Katharine Mullen |
| ALSCPC | 1.0 | Accelerated line search algorithm for simultaneous orthogonal
transformation of several positive definite symmetric matrices
to nearly diagonal form. | Dariush Najarzadeh |
| ALSM | 0.2.0 | Companion to Applied Linear Statistical Models | Ali Ghanbari |
| altadata | 0.1.1 | API Wrapper for Altadata.io | Emre Durukan |
| altair | 4.2.3 | Interface to 'Altair' | Ian Lyttle |
| altdoc | 0.3.0 | Package Documentation Websites with 'Quarto', 'Docsify',
'Docute', or 'MkDocs' | Etienne Bacher |
| AlteredPQR | 0.1.0 | Detection of Altered Protein Quantitative Relationships | Marija Buljan |
| altfuelr | 0.1.0 | Provides an Interface to the NREL Alternate Fuels Locator | Christopher Burch |
| altmeta | 4.1 | Alternative Meta-Analysis Methods | Lifeng Lin |
| ALTopt | 0.1.2 | Optimal Experimental Designs for Accelerated Life Testing | Kangwon Seo |
| altR2 | 1.0.0 | Alternative Estimators to Adjusted R-Squared | Julian Karch |
| ALUES | 0.2.1 | Agricultural Land Use Evaluation System | Al-Ahmadgaid B. Asaad |
| amanida | 0.3.0 | Meta-Analysis for Non-Integral Data | Maria Llambrich |
| amanpg | 0.3.4 | Alternating Manifold Proximal Gradient Method for Sparse PCA | Zhong Zheng |
| amap | 0.8-19 | Another Multidimensional Analysis Package | Antoine Lucas |
| amapGeocode | 0.6.0 | An Interface to the 'AutoNavi Maps' API Geocoding Services | Han Chen |
| amapro | 0.1.3 | Thin Wrapper for Mapping Library 'AMap' | Larry Helgason |
| AMAPVox | 2.2.1 | LiDAR Data Voxelisation | Philippe Verley |
| amazonadsR | 0.1.0 | Get Amazon Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| amazons3R | 0.1.0 | Get Amazon S3 Data via the 'Windsor.ai' API | Pablo Sanchez |
| amazonspR | 0.1.0 | Get Amazon Sp Data via the 'Windsor.ai' API | Pablo Sanchez |
| amberr | 1.0.0 | 'Amber' Electronic Data Capture Client | Yannick Marcon |
| ambient | 1.0.2 | A Generator of Multidimensional Noise | Thomas Lin Pedersen |
| ambit | 0.1.2 | Simulation and Estimation of Ambit Processes | Almut E. D. Veraart |
| AMCP | 1.0.1 | A Model Comparison Perspective | Ken Kelley |
| AMCTestmakeR | 1.0.0 | Generate LaTeX Code for Auto-Multiple-Choice (AMC) | Nils Myszkowski |
| Amelia | 1.8.1 | A Program for Missing Data | Matthew Blackwell |
| amelie | 0.2.1 | Anomaly Detection with Normal Probability Functions | Dmitriy Bolotov |
| amen | 1.4.5 | Additive and Multiplicative Effects Models for Networks and
Relational Data | Peter Hoff |
| amerifluxr | 1.0.0 | Interface to 'AmeriFlux' Data Services | Housen Chu |
| amerika | 0.1.0 | American Politics-Inspired Color Palette Generator | Philip Waggoner |
| AmesHousing | 0.0.4 | The Ames Iowa Housing Data | Max Kuhn |
| ami | 0.1.0 | Checks for Various Computing Environments | Brian Connelly |
| AmigaFFH | 0.4.5 | Commodore Amiga File Format Handler | Pepijn de Vries |
| AMIM | 1.0.0 | Compute the Adjusted Market Inefficiency Measure | Vu Le Tran |
| ammiBayes | 1.0-2 | Bayesian Ammi Model for Continuous Data | Fabio M. Correa |
| ammistability | 0.1.4 | Additive Main Effects and Multiplicative Interaction Model
Stability Parameters | B. C. Ajay |
| AMModels | 0.1.4 | Adaptive Management Model Manager | Jon Katz |
| AmmoniaConcentration | 0.1 | Un-Ionized Ammonia Concentration | Felipe Tumenas Marques |
| aMNLFA | 1.1.2 | Automated Moderated Nonlinear Factor Analysis Using 'M-plus' | Veronica Cole |
| AmoudSurv | 0.1.0 | Tractable Parametric Odds-Based Regression Models | Abdisalam Hassan Muse |
| amp | 1.0.0 | Statistical Test for the Multivariate Point Null Hypotheses | Adam Elder |
| ampd | 0.2 | An Algorithm for Automatic Peak Detection in Noisy Periodic and
Quasi-Periodic Signals | Oliver Sieber |
| AmpGram | 1.0 | Prediction of Antimicrobial Peptides | Michal Burdukiewicz |
| ampir | 1.1.0 | Predict Antimicrobial Peptides | Legana Fingerhut |
| AMPLE | 1.0.2 | Shiny Apps to Support Capacity Building on Harvest Control Rules | Finlay Scott |
| AmpliconDuo | 1.1.1 | Statistical Analysis of Amplicon Data of the Same Sample to
Identify Artefacts | Anja Lange |
| AMR | 2.1.1 | Antimicrobial Resistance Data Analysis | Matthijs S. Berends |
| amt | 0.2.2.0 | Animal Movement Tools | Johannes Signer |
| AmyloGram | 1.1 | Prediction of Amyloid Proteins | Michal Burdukiewicz |
| anabel | 3.0.1 | Analysis of Binding Events + l | Hoor Al-Hasani |
| AnaCoDa | 0.1.4.4 | Analysis of Codon Data under Stationarity using a Bayesian
Framework | Cedric Landerer |
| Anaconda | 0.1.5 | Targeted Differential and Global Enrichment Analysis of
Taxonomic Rank by Shared Asvs | Pierre-Louis Stenger |
| anacor | 1.1-4 | Simple and Canonical Correspondence Analysis | Patrick Mair |
| analogsea | 1.0.7.2 | Interface to 'DigitalOcean' | Mauricio Vargas |
| analogue | 0.17-6 | Analogue and Weighted Averaging Methods for Palaeoecology | Gavin L. Simpson |
| AnalysisLin | 0.1.2 | Exploratory Data Analysis | Zhiwei Lin |
| analyzer | 1.0.1 | Data Analysis and Automated R Notebook Generation | Apurv Priyam |
| AnanseSeurat | 1.2.0 | Construct ANANSE GRN-Analysis Seurat | Jos Smits |
| anapuce | 2.3 | Tools for Microarray Data Analysis | Julie Aubert |
| AncestryMapper | 2.0 | Assigning Ancestry Based on Population References | Eoghan T O'Halloran |
| AnchorRegression | 0.1.3 | Perform AnchorRegression | Simon Zimmermann |
| and | 0.1.5 | Construct Natural-Language Lists with Internationalization | Alexander Rossell Hayes |
| andrews | 1.1.2 | Various Andrews Curves | Sigbert Klinke |
| Andromeda | 0.6.6 | Asynchronous Disk-Based Representation of Massive Data | Martijn Schuemie |
| andurinha | 0.0.2 | Make Spectroscopic Data Processing Easier | Noemi Alvarez Fernandez |
| anesrake | 0.80 | ANES Raking Implementation | Josh Pasek |
| AnglerCreelSurveySimulation | 1.0.2 | Simulate a Bus Route Creel Survey of Anglers | Steven H. Ranney |
| angstroms | 0.0.1 | Tools for 'ROMS' the Regional Ocean Modeling System | Michael D. Sumner |
| aniDom | 0.1.5 | Inferring Dominance Hierarchies and Estimating Uncertainty | Damien R. Farine |
| anim.plots | 0.2.2 | Simple Animated Plots for R | David Hugh-Jones |
| animalEKF | 1.2 | Extended Kalman Filters for Animal Movement | Samuel Ackerman |
| AnimalHabitatNetwork | 0.1.0 | Networks Characterising the Physical Configurations of Animal
Habitats | Peng He |
| animate | 0.3.9.4 | A Web-Based Graphics Device for Animated Visualisations | Chun Fung Kwok |
| animation | 2.7 | A Gallery of Animations in Statistics and Utilities to Create
Animations | Yihui Xie |
| animbook | 1.0.0 | Visualizing Changes in Performance Measures and Demographic
Affiliations using Animation | Krisanat Anukarnsakulchularp |
| animint2 | 2024.1.24 | Animated Interactive Grammar of Graphics | Toby Hocking |
| animl | 1.1.0 | A Collection of ML Tools for Conservation Research | Kyra Swanson |
| anipaths | 0.10.3 | Animation of Multiple Trajectories with Uncertainty | Henry Scharf |
| aniSNA | 1.1.1 | Statistical Network Analysis of Animal Social Networks | Prabhleen Kaur |
| aniview | 0.1.0 | Animate Shiny and R Markdown Content when it Comes into View | Félix Luginbuhl |
| anMC | 0.2.5 | Compute High Dimensional Orthant Probabilities | Dario Azzimonti |
| ANN2 | 2.3.4 | Artificial Neural Networks for Anomaly Detection | Bart Lammers |
| anndata | 0.7.5.6 | 'anndata' for R | Robrecht Cannoodt |
| annmatrix | 0.1.2 | Annotated Matrix: Matrices with Persistent Row and Column
Annotations | Karolis Koncevičius |
| AnnoProbe | 0.1.7 | Annotate the Gene Symbols for Probes in Expression Array | Yonghe Xia |
| annotater | 0.2.3 | Annotate Package Load Calls | Luis D. Verde Arregoitia |
| AnnotationBustR | 1.3.0 | Extract Subsequences from GenBank Annotations | Samuel R. Borstein |
| annotator | 0.0.3.1 | Image Annotation and Polygon Outlining using Free Drawing | Mihai Valcu |
| AnnuityRIR | 1.0-0 | Annuity Random Interest Rates | Fabrizio Maturo |
| anocva | 0.1.1 | A Non-Parametric Statistical Test to Compare Clustering
Structures | Maciel C. Vidal |
| ANOFA | 0.1.3 | Analyses of Frequency Data | Denis Cousineau |
| ANOM | 0.5 | Analysis of Means | Philip Pallmann |
| anomalize | 0.3.0 | Tidy Anomaly Detection | Matt Dancho |
| anomaly | 4.3.2 | Detecting Anomalies in Data | Daniel Grose |
| ANOPA | 0.1.3 | Analyses of Proportions using Anscombe Transform | Denis Cousineau |
| ANOVAIREVA | 0.1.0 | Interactive Document for Working with Analysis of Variance | Kartikeya Bolar |
| ANOVAShiny | 0.1.0 | Interactive Document for Working with Analysis of Variance | Kartikeya Bolar |
| ANOVAShiny2 | 0.1.0 | Interactive Document for Working with Analysis of Variance | Kartikeya Bolar |
| anovir | 0.1.0 | Analysis of Virulence | Philip Agnew |
| anscombiser | 1.1.0 | Create Datasets with Identical Summary Statistics | Paul J. Northrop |
| AntAngioCOOL | 1.2 | Anti-Angiogenic Peptide Prediction | Javad Zahiri |
| antaresEditObject | 0.6.1 | Edit an 'Antares' Simulation | Tatiana Vargas |
| antaresProcessing | 0.18.1 | 'Antares' Results Processing | Veronique Bachelier |
| antaresRead | 2.6.0 | Import, Manipulate and Explore the Results of an 'Antares'
Simulation | Tatiana Vargas |
| antaresViz | 0.18.0 | Antares Visualizations | Tatiana Vargas |
| anthro | 1.0.1 | Computation of the WHO Child Growth Standards | Dirk Schumacher |
| anthroplus | 0.9.0 | Computation of the WHO 2007 References for School-Age Children
and Adolescents (5 to 19 Years) | Dirk Schumacher |
| AnthropMMD | 4.0.3 | An R Package for the Mean Measure of Divergence (MMD) | Frédéric Santos |
| Anthropometry | 1.19 | Statistical Methods for Anthropometric Data | Guillermo Vinue |
| AntibodyTiters | 0.1.24 | Antibody Titer Analysis of Vaccinated Patients | Hiroaki Kato |
| anticlust | 0.8.1 | Subset Partitioning via Anticlustering | Martin Papenberg |
| antitrust | 0.99.26 | Tools for Antitrust Practitioners | Charles Taragin |
| antiword | 1.3.3 | Extract Text from Microsoft Word Documents | Jeroen Ooms |
| AntMAN | 1.1.0 | Anthology of Mixture Analysis Tools | Bruno Bodin |
| AnxietySleep | 0.0.1 | Sleep Quality and Anxiety in Confinement | Matías Castillo-Aguilar |
| anybadger | 0.1.0 | Create Custom Pipeline Badges | Lorenzo Meninato |
| anyflights | 0.3.4 | Query 'nycflights13'-Like Air Travel Data for Given Years and
Airports | Simon P. Couch |
| anyLib | 1.0.5 | Install and Load Any Package from CRAN, Bioconductor or Github | Aurelien Chateigner |
| anytime | 0.3.9 | Anything to 'POSIXct' or 'Date' Converter | Dirk Eddelbuettel |
| ao | 0.3.3 | Alternating Optimization | Lennart Oelschläger |
| aod | 1.3.3 | Analysis of Overdispersed Data | Renaud Lancelot |
| aods3 | 0.4-1.2 | Analysis of Overdispersed Data using S3 Methods | Renaud Lancelot |
| aoos | 0.5.0 | Another Object Orientation System | Sebastian Warnholz |
| aopdata | 1.0.3 | Data from the 'Access to Opportunities Project (AOP)' | Rafael H. M. Pereira |
| Aoptbdtvc | 0.0.3 | A-Optimal Block Designs for Comparing Test Treatments with
Controls | Baidya Nath Mandal |
| aoristic | 1.1.1 | Generates Aoristic Probability Distributions | Jerry Ratcliffe |
| aorsf | 0.1.3 | Accelerated Oblique Random Forests | Byron Jaeger |
| aos | 0.1.0 | Animate on Scroll Library for 'shiny' | Félix Luginbuhl |
| AOV1R | 0.1.0 | Inference in the Balanced One-Way ANOVA Model with Random Factor | Stéphane Laurent |
| AovBay | 0.1.0 | Classic, Nonparametric and Bayesian One-Way Analysis of Variance
Panel | Mauricio Rojas-Campuzano |
| apa | 0.3.4 | Format Outputs of Statistical Tests According to APA Guidelines | Daniel Gromer |
| apache.sedona | 1.5.1 | R Interface for Apache Sedona | Apache Sedona |
| ApacheLogProcessor | 0.2.3 | Process the Apache Web Server Log Files | Diogo Silveira Mendonca |
| APackOfTheClones | 1.1.0 | Visualization of Clonal Expansion for Single Cell Immune
Profiles | Qile Yang |
| apaTables | 2.0.8 | Create American Psychological Association (APA) Style Tables | David Stanley |
| apaText | 0.1.7 | Create R Markdown Text for Results in the Style of the American
Psychological Association (APA) | David Stanley |
| apc | 2.0.0 | Age-Period-Cohort Analysis | Bent Nielsen |
| APCanalysis | 1.0 | Analysis of Unreplicated Orthogonal Experiments using All
Possible Comparisons | Arden Miller |
| apcf | 0.3.0 | Adapted Pair Correlation Function | Robert Nuske |
| APCI | 1.0.7 | A New Age-Period-Cohort Model for Describing and Investigating
Inter-Cohort Differences and Life Course Dynamics | Jiahui Xu |
| apcluster | 1.4.11 | Affinity Propagation Clustering | Ulrich Bodenhofer |
| aPCoA | 1.3 | Covariate Adjusted PCoA Plot | Yushu Shi |
| APCtools | 1.0.4 | Routines for Descriptive and Model-Based APC Analysis | Alexander Bauer |
| apdesign | 1.0.0 | An Implementation of the Additive Polynomial Design Matrix | Tyler Matta |
| ape | 5.7-1 | Analyses of Phylogenetics and Evolution | Emmanuel Paradis |
| aPEAR | 1.0.0 | Advanced Pathway Enrichment Analysis Representation | Ieva Kerseviciute |
| apercu | 0.2.5 | Quick Look at your Data | Aurelien Chateigner |
| apex | 1.0.6 | Phylogenetic Methods for Multiple Gene Data | Klaus Schliep |
| apexcharter | 0.4.2 | Create Interactive Chart with the JavaScript 'ApexCharts'
Library | Victor Perrier |
| APFr | 1.0.2 | Multiple Testing Approach using Average Power Function (APF) and
Bayes FDR Robust Estimation | Nicolò Margaritella |
| aphid | 1.3.5 | Analysis with Profile Hidden Markov Models | Shaun Wilkinson |
| aphylo | 0.3-3 | Statistical Inference and Prediction of Annotations in
Phylogenetic Trees | George Vega Yon |
| api2lm | 0.2 | Functions and Data Sets for the Book "A Progressive Introduction
to Linear Models" | Joshua P. French |
| APIS | 2.0.4 | Auto-Adaptive Parentage Inference Software Tolerant to Missing
Parents | Julien Roche |
| apisensr | 1.0.0 | Interface to 'episensr' for Sensitivity Analysis of
Epidemiological Results | Denis Haine |
| aplore3 | 0.9 | Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic
Regression" (3rd Ed., 2013) | Luca Braglia |
| aplot | 0.2.2 | Decorate a 'ggplot' with Associated Information | Guangchuang Yu |
| aplotExtra | 0.0.2 | Creating Composite Plots using 'aplot' | Guangchuang Yu |
| aplpack | 1.3.5 | Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots',
Slider Functions and Others | Hans Peter Wolf |
| apmx | 1.1.1 | Automated Population Pharmacokinetic Dataset Assembly | Stephen Amori |
| apng | 1.1 | Convert Png Files into Animated Png | Quinten Stokkink |
| Apoderoides | 1.0.1 | Prioritize and Delete Erroneous Taxa in a Large Phylogenetic
Tree | Satoshi Aoki |
| apollo | 0.3.1 | Tools for Choice Model Estimation and Application | Stephane Hess |
| Apollonius | 1.0.1 | 2D Apollonius Graphs | Stéphane Laurent |
| appeears | 1.1 | Interface to 'AppEEARS' NASA Web Services | Koen Hufkens |
| APPEstimation | 0.1.1 | Adjusted Prediction Model Performance Estimation | Eisuke Inoue |
| appleadsR | 0.1.0 | Get Apple Search Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| appler | 0.2.1 | 'Apple App Store' and 'iTunes' Data Extraction | Ashley Baldry |
| applicable | 0.1.0 | A Compilation of Applicability Domain Methods | Marly Gotti |
| AppliedPredictiveModeling | 1.1-7 | Functions and Data Sets for 'Applied Predictive Modeling' | Max Kuhn |
| appnn | 1.0-0 | Amyloid Propensity Prediction Neural Network | Carlos Família |
| apportion | 0.0.1 | Apportion Seats | Christopher T. Kenny |
| appRiori | 0.0.5 | Code and Obtain Customized Planned Comparisons with 'appRiori' | Umberto Granziol |
| approximator | 1.2-8 | Bayesian Prediction of Complex Computer Codes | Robin K. S. Hankin |
| approxmatch | 2.0 | Approximately Optimal Fine Balance Matching with Multiple Groups | Bikram Karmakar |
| approxOT | 1.1.1 | Approximate and Exact Optimal Transport Methods | Eric Dunipace |
| appsflyeR | 0.1.0 | Get Data from 'Appsflyer' via the 'Windsor.ai' API | Pablo Sanchez |
| appsheet | 0.1.0 | An Interface to the 'AppSheet' API | Samuel Calderon |
| aprean3 | 1.0.1 | Datasets from Draper and Smith "Applied Regression Analysis"
(3rd Ed., 1998) | Luca Braglia |
| aprof | 0.4.1 | Amdahl's Profiler, Directed Optimization Made Easy | Marco D. Visser |
| apsimx | 2.6.2 | Inspect, Read, Edit and Run 'APSIM' "Next Generation" and
'APSIM' Classic | Fernando Miguez |
| apt | 3.0 | Asymmetric Price Transmission | Changyou Sun |
| APtools | 6.8.8 | Average Positive Predictive Values (AP) for Binary Outcomes and
Censored Event Times | Hengrui Cai |
| apyramid | 0.1.3 | Visualize Population Pyramids Aggregated by Age | Zhian N. Kamvar |
| AQEval | 0.5.7 | Air Quality Evaluation | Karl Ropkins |
| AQLSchemes | 1.7-2 | Retrieving Acceptance Sampling Schemes | John Lawson |
| aqp | 2.0.2 | Algorithms for Quantitative Pedology | Dylan Beaudette |
| AquaBEHER | 0.1.0 | Estimation of Rainy Season Calendar and Soil Water Balance for
Agriculture | Robel Takele |
| AQuadtree | 1.0.4 | Confidentiality of Spatial Point Data | Raymond Lagonigro |
| AquaEnv | 1.0-4 | Integrated Development Toolbox for Aquatic Chemical Model
Generation | Karline Soetaert |
| AquaticLifeHistory | 1.0.5 | Life History Analysis Tools | Jonathan Smart |
| aquodom | 0.1.1 | Access to Aquo domaintables from R (Dutch) | Johan van Tent |
| AR | 1.1 | Another Look at the Acceptance-Rejection Method | Abbas Parchami |
| ar.matrix | 0.1.0 | Simulate Auto Regressive Data from Precision Matricies | Neal Marquez |
| arabic2kansuji | 0.1.3 | Convert Arabic Numerals to Kansuji | Mao Kobayashi |
| arabicStemR | 1.3 | Arabic Stemmer for Text Analysis | Rich Nielsen |
| arakno | 1.3.0 | ARAchnid KNowledge Online | Pedro Cardoso |
| ArArRedux | 1.0 | Rigorous Data Reduction and Error Propagation of Ar40 / Ar39
Data | Pieter Vermeesch |
| arc | 1.4 | Association Rule Classification | Tomas Kliegr |
| ARCensReg | 3.0.1 | Fitting Univariate Censored Linear Regression Model with
Autoregressive Errors | Fernanda L. Schumacher |
| arcgeocoder | 0.2.0 | Geocoding with the 'ArcGIS' REST API Service | Diego Hernangómez |
| arcgis | 0.1.0 | ArcGIS Location Services Meta-Package | Josiah Parry |
| arcgislayers | 0.2.0 | An Interface to ArcGIS Data Services | Josiah Parry |
| arcgisutils | 0.2.0 | ArcGIS Utility Functions | Josiah Parry |
| ArchaeoPhases.dataset | 0.2.0 | Data Sets for 'ArchaeoPhases' Vignettes | Anne Philippe |
| archdata | 1.2-1 | Example Datasets from Archaeological Research | David L. Carlson |
| archeofrag | 0.8.2 | Refitting and Spatial Analysis in Archaeology | Sebastien Plutniak |
| archeoViz | 1.3.4 | Visualisation, Exploration, and Web Communication of
Archaeological Spatial Data | Sebastien Plutniak |
| archetypal | 1.3.0 | Finds the Archetypal Analysis of a Data Frame | Demetris Christopoulos |
| archetyper | 0.1.0 | An Archetype for Data Mining and Data Science Projects | Michael Korvink |
| archetypes | 2.2-0.1 | Archetypal Analysis | Manuel J. A. Eugster |
| archiDART | 3.4 | Plant Root System Architecture Analysis Using DART and RSML
Files | Benjamin M Delory |
| archive | 1.1.7 | Multi-Format Archive and Compression Support | Gábor Csárdi |
| archiveRetriever | 0.3.1 | Retrieve Archived Web Pages from the 'Internet Archive' | Lukas Isermann |
| archivist | 2.3.6 | Tools for Storing, Restoring and Searching for R Objects | Przemyslaw Biecek |
| archivist.github | 0.2.6 | Tools for Archiving, Managing and Sharing R Objects via GitHub | Marcin Kosinski |
| ArCo | 0.3-1 | Artificial Counterfactual Package | Gabriel F. R. Vasconcelos |
| ARCokrig | 0.1.2 | Autoregressive Cokriging Models for Multifidelity Codes | Pulong Ma |
| arcpbf | 0.1.0 | Process ArcGIS Protocol Buffer FeatureCollections | Josiah Parry |
| arcpullr | 0.2.9 | Pull Data from an 'ArcGIS REST' API | Paul Frater |
| arcpy | 0.4-0 | Interface to 'ArcGIS' 'Python' Modules | Michael Koohafkan |
| arctools | 1.1.6 | Processing and Physical Activity Summaries of Minute Level
Activity Data | Marta Karas |
| ArDec | 2.1-1 | Time Series Autoregressive-Based Decomposition | Susana Barbosa |
| ARDECO | 1.0.0 | Annual Regional Database of the European Commission (ARDECO) | European Commission |
| ARDL | 0.2.4 | ARDL, ECM and Bounds-Test for Cointegration | Kleanthis Natsiopoulos |
| ardl.nardl | 1.3.0 | Linear and Nonlinear Autoregressive Distributed Lag Models:
General-to-Specific Approach | Eric I. Otoakhia |
| ards | 0.1.1 | Creates Analysis Results Datasets | David Bosak |
| area | 0.2.0 | Calculate Area of Triangles and Polygons | Michael Sumner |
| areabiplot | 1.0.0 | Area Biplot | Alberto Silva |
| areal | 0.1.8 | Areal Weighted Interpolation | Christopher Prener |
| arealDB | 0.6.3 | Harmonise and Integrate Heterogeneous Areal Data | Steffen Ehrmann |
| areaplot | 2.1.2 | Plot Stacked Areas and Confidence Bands as Filled Polygons | Arni Magnusson |
| arena2r | 1.0.0 | Plots, Summary Statistics and Tools for Arena Simulation Users | Pedro Nascimento de Lima |
| arenar | 0.2.0 | Arena for the Exploration and Comparison of any ML Models | Piotr Piątyszek |
| arf | 0.2.0 | Adversarial Random Forests | Marvin N. Wright |
| arfima | 1.8-1 | Fractional ARIMA (and Other Long Memory) Time Series Modeling | JQ Veenstra |
| argo | 3.0.2 | Accurate Estimation of Influenza Epidemics using Google Search
Data | Shihao Yang |
| argoFloats | 1.0.7 | Analysis of Oceanographic Argo Floats | Dan Kelley |
| argonDash | 0.2.0 | Argon Shiny Dashboard Template | David Granjon |
| argonR | 0.2.0 | R Interface to Argon HTML Design | David Granjon |
| ARGOS | 0.1.1 | Automatic Regression for Governing Equations (ARGOS) | Kevin Egan |
| argosfilter | 0.70 | Argos Locations Filter | Carla Freitas |
| argparse | 2.2.3 | Command Line Optional and Positional Argument Parser | Trevor L Davis |
| argparser | 0.7.2 | Command-Line Argument Parser | David J. H. Shih |
| argus | 0.1.1 | Random Variate Generator for the Argus Distribution | Wolfgang Hormann |
| ARHT | 0.1.0 | Adaptable Regularized Hotelling's T^2 Test for High-Dimensional
Data | Haoran Li |
| ari | 0.3.5 | Automated R Instructor | Sean Kross |
| ARIbrain | 0.2 | All-Resolution Inference | Livio Finos |
| aricode | 1.0.3 | Efficient Computations of Standard Clustering Comparison
Measures | Julien Chiquet |
| AriGaMyANNSVR | 0.1.0 | Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models | Mr. Sandip Garai |
| arima2 | 3.1.0 | Likelihood Based Inference for ARIMA Modeling | Jesse Wheeler |
| ARIMAANN | 0.1.0 | Time Series Forecasting using ARIMA-ANN Hybrid Model | Mrinmoy Ray |
| arkdb | 0.0.18 | Archive and Unarchive Databases Using Flat Files | Carl Boettiger |
| arkhe | 1.6.0 | Tools for Cleaning Rectangular Data | Nicolas Frerebeau |
| arm | 1.14-4 | Data Analysis Using Regression and Multilevel/Hierarchical
Models | Yu-Sung Su |
| armada | 0.1.0 | A Statistical Methodology to Select Covariates in
High-Dimensional Data under Dependence | Aurelie Gueudin |
| ARMALSTM | 0.1.0 | Fitting of Hybrid ARMA-LSTM Models | Debopam Rakshit |
| armspp | 0.0.2 | Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp' | Michael Bertolacci |
| arnie | 0.1.2 | "Arnie" box office records 1982-2014 | 'Imanuel Costigan' |
| AROC | 1.0-4 | Covariate-Adjusted Receiver Operating Characteristic Curve
Inference | Maria Xose Rodriguez-Alvarez |
| aroma.affymetrix | 3.2.2 | Analysis of Large Affymetrix Microarray Data Sets | Henrik Bengtsson |
| aroma.apd | 0.7.0 | A Probe-Level Data File Format Used by 'aroma.affymetrix'
[deprecated] | Henrik Bengtsson |
| aroma.cn | 1.7.1 | Copy-Number Analysis of Large Microarray Data Sets | Henrik Bengtsson |
| aroma.core | 3.3.1 | Core Methods and Classes Used by 'aroma.*' Packages Part of the
Aroma Framework | Henrik Bengtsson |
| Arothron | 2.0.5 | Geometric Morphometric Methods and Virtual Anthropology Tools | Antonio Profico |
| ARPALData | 1.5.2 | Retrieving and Analyzing Air Quality and Weather Data from ARPA
Lombardia | Paolo Maranzano |
| ARpLMEC | 2.4.1 | Censored Mixed-Effects Models with Different Correlation
Structures | Rommy C. Olivari |
| ARPobservation | 1.2.2 | Tools for Simulating Direct Behavioral Observation Recording
Procedures Based on Alternating Renewal Processes | James E. Pustejovsky |
| arpr | 0.1.2 | Advanced R Pipes | Sébastien Rochette |
| aRpsDCA | 1.1.1 | Arps Decline Curve Analysis in R | Derrick Turk |
| arrangements | 1.1.9 | Fast Generators and Iterators for Permutations, Combinations,
Integer Partitions and Compositions | Randy Lai |
| arrApply | 2.2 | Apply a Function to a Margin of an Array | Serguei Sokol |
| arrayhelpers | 1.1-0 | Convenience Functions for Arrays | C. Beleites |
| arrow | 15.0.1 | Integration to 'Apache' 'Arrow' | Nic Crane |
| ars | 0.7 | Adaptive Rejection Sampling | Paulino Perez Rodriguez |
| arse | 1.0.0 | Area of Resilience to Stress Event | Nathaniel Ratcliff |
| arsenal | 3.6.3 | An Arsenal of 'R' Functions for Large-Scale Statistical
Summaries | Ethan Heinzen |
| ART | 1.0 | Aligned Rank Transform for Nonparametric Factorial Analysis | Pablo J. Villacorta |
| artfima | 1.5 | ARTFIMA Model Estimation | A.I. McLeod |
| arthistory | 0.1.0 | Art History Textbook Data | Sara Lemus |
| ARTofR | 0.4.1 | To Insert Title, Divider, and Block of Comments | Huanyuan Zhang |
| ARTool | 0.11.1 | Aligned Rank Transform | Matthew Kay |
| artpack | 0.1.0 | Creates Generative Art Data | Meghan Harris |
| aRtsy | 0.2.4 | Generative Art with 'ggplot2' | Koen Derks |
| arules | 1.7-7 | Mining Association Rules and Frequent Itemsets | Michael Hahsler |
| arulesCBA | 1.2.5 | Classification Based on Association Rules | Michael Hahsler |
| arulesNBMiner | 0.1-8 | Mining NB-Frequent Itemsets and NB-Precise Rules | Michael Hahsler |
| arulesSequences | 0.2-30 | Mining Frequent Sequences | Christian Buchta |
| arulesViz | 1.5-2 | Visualizing Association Rules and Frequent Itemsets | Michael Hahsler |
| aRxiv | 0.10 | Interface to the arXiv API | Karl Broman |
| asaur | 0.50 | Data Sets for "Applied Survival Analysis Using R"" | Dirk F. Moore |
| asbio | 1.9-7 | A Collection of Statistical Tools for Biologists | Ken Aho |
| ascentTraining | 1.0.0 | Ascent Training Datasets | Harry Alexander |
| ascii | 2.6 | Export R Objects to Several Markup Languages | Mark Clements |
| asciicast | 2.3.1 | Create 'Ascii' Screen Casts from R Scripts | Gábor Csárdi |
| asciichartr | 0.1.0 | Lightweight ASCII Line Graphs | Brian |
| asciiruler | 0.2 | Render an ASCII Ruler | Jeremy Leipzig |
| asciiSetupReader | 2.5.1 | Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have
Accompanying Setup Files (.sps or .sas) | Jacob Kaplan |
| ascotraceR | 0.0.1 | Simulate the Spread of Ascochyta Blight in Chickpea | Paul Melloy |
| asd | 2.2 | Simulations for Adaptive Seamless Designs | Nick Parsons |
| asdreader | 0.1-3 | Reading ASD Binary Files in R | Pierre Roudier |
| ASGS.foyer | 0.3.3 | Interface to the Australian Statistical Geography Standard | Hugh Parsonage |
| ash | 1.0-15 | David Scott's ASH Routines | Albrecht Gebhardt |
| ashapesampler | 1.0.0 | Generating Alpha Shapes | Emily Winn-Nunez |
| ashr | 2.2-63 | Methods for Adaptive Shrinkage, using Empirical Bayes | Peter Carbonetto |
| asht | 1.0.1 | Applied Statistical Hypothesis Tests | Michael P. Fay |
| AsioHeaders | 1.22.1-2 | 'Asio' C++ Header Files | Dirk Eddelbuettel |
| askgpt | 0.1.3 | Asking GPT About R Stuff | Johannes Gruber |
| askpass | 1.2.0 | Password Entry Utilities for R, Git, and SSH | Jeroen Ooms |
| aslib | 0.1.2 | Interface to the Algorithm Selection Benchmark Library | Lars Kotthoff |
| ASMap | 1.0-7 | Linkage Map Construction using the MSTmap Algorithm | Julian Taylor |
| asmbPLS | 1.0.0 | Predicting and Classifying Patient Phenotypes with Multi-Omics
Data | Runzhi Zhang |
| asnipe | 1.1.17 | Animal Social Network Inference and Permutations for Ecologists | Damien R. Farine |
| aspace | 4.1.0 | Functions for Estimating Centrographic Statistics | Tarmo K. Remmel |
| aspect | 1.0-6 | A General Framework for Multivariate Analysis with Optimal
Scaling | Patrick Mair |
| aspi | 0.2.0 | Analysis of Symmetry of Parasitic Infections | Matt Wayland |
| aspline | 0.2.0 | Spline Regression with Adaptive Knot Selection | Vivien Goepp |
| aSPU | 1.50 | Adaptive Sum of Powered Score Test | Il-Youp Kwak |
| asremlPlus | 4.4.27 | Augments 'ASReml-R' in Fitting Mixed Models and Packages
Generally in Exploring Prediction Differences | Chris Brien |
| ASRgenomics | 1.1.4 | Complementary Genomic Functions | Salvador Gezan |
| ASSA | 2.0 | Applied Singular Spectrum Analysis (ASSA) | Miguel de Carvalho |
| assert | 1.0.1 | Validate Function Arguments | Olivier Binette |
| assertable | 0.2.8 | Verbose Assertions for Tabular Data (Data.frames and
Data.tables) | Grant Nguyen |
| assertions | 0.1.0 | Simple Assertions for Beautiful and Customisable Error Messages | Sam El-Kamand |
| assertive.base | 0.0-9 | A Lightweight Core of the 'assertive' Package | Richard Cotton |
| assertive.files | 0.0-2 | Assertions to Check Properties of Files | Richard Cotton |
| assertive.matrices | 0.0-2 | Assertions to Check Properties of Matrices | Richard Cotton |
| assertive.models | 0.0-2 | Assertions to Check Properties of Models | Richard Cotton |
| assertive.numbers | 0.0-2 | Assertions to Check Properties of Numbers | Richard Cotton |
| assertive.sets | 0.0-3 | Assertions to Check Properties of Sets | Richard Cotton |
| assertr | 3.0.1 | Assertive Programming for R Analysis Pipelines | Tony Fischetti |
| assertthat | 0.2.1 | Easy Pre and Post Assertions | Hadley Wickham |
| assessor | 1.1.0 | Assessment Tools for Regression Models with Discrete and
Semicontinuous Outcomes | Jeonghwan Lee |
| AssetAllocation | 1.1.1 | Backtesting Simple Asset Allocation Strategies | Alexandre Rubesam |
| AssetCorr | 1.0.4 | Estimating Asset Correlations from Default Data | Maximilian Nagl |
| AssetPricing | 1.0-3 | Optimal Pricing of Assets with Fixed Expiry Date | Rolf Turner |
| assignPOP | 1.3.0 | Population Assignment using Genetic, Non-Genetic or Integrated
Data in a Machine Learning Framework | Kuan-Yu (Alex) Chen |
| assignR | 2.4.0 | Infer Geographic Origin from Isotopic Data | Gabe Bowen |
| assist | 3.1.9 | A Suite of R Functions Implementing Spline Smoothing Techniques | Yuedong Wang |
| ASSISTant | 1.4.3 | Adaptive Subgroup Selection in Group Sequential Trials | Balasubramanian Narasimhan |
| AssocAFC | 1.0.2 | Allele Frequency Comparison | Khalid B. Kunji |
| AssocBin | 0.1-0 | Measuring Association with Recursive Binning | Chris Salahub |
| assocInd | 1.0.1 | Implements New and Existing Association Indices for Constructing
Animal Social Networks | Damien Farine |
| AssocTests | 1.0-1 | Genetic Association Studies | Lin Wang |
| assortnet | 0.20 | Calculate the Assortativity Coefficient of Weighted and Binary
Networks | Damien Farine |
| AST | 0.1.0 | Age-Spatial-Temporal Model | Ali Ghanbari |
| ast2ast | 0.3.2 | Translates an R Function to a C++ Function | Krämer Konrad |
| aster | 1.1-3 | Aster Models | Charles J. Geyer |
| aster2 | 0.3 | Aster Models | Charles J. Geyer |
| asteRisk | 1.4.3 | Computation of Satellite Position | Rafael Ayala |
| AsthmaNHANES | 1.1.0 | Asthma Data Sets from NHANES | Tao Sun |
| astrochron | 1.2 | A Computational Tool for Astrochronology | Stephen Meyers |
| astrodatR | 0.1 | Astronomical Data | "Eric D., Feigelson" |
| astroFns | 4.2-1 | Astronomy: Time and Position Functions, Misc. Utilities | Andrew Harris |
| astsa | 2.1 | Applied Statistical Time Series Analysis | David Stoffer |
| asus | 1.5.0 | Adaptive SURE Thresholding Using Side Information | Trambak Banerjee |
| ASV | 1.1.4 | Stochastic Volatility Models with or without Leverage | Yasuhiro Omori |
| AsyK | 1.5.5 | Kernel Density Estimation | Javaria Ahmad Khan |
| asylum | 1.1.2 | Data on Asylum and Resettlement for the UK | Matthew Gwynfryn Thomas |
| asymLD | 0.1 | Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Genetic
Data | Richard M. Single |
| AsymmetricSORDs | 1.0.0 | Asymmetric Second Order Rotatable Designs (AsymmetricSORDs) | Ashutosh Dalal |
| asymmetry | 2.0.4 | Multidimensional Scaling of Asymmetric Proximities | Berrie Zielman |
| asymmetry.measures | 0.2 | Asymmetry Measures for Probability Density Functions | Dimitrios Bagkavos |
| asympTest | 0.1.4 | A Simple R Package for Classical Parametric Statistical Tests
and Confidence Intervals in Large Samples | Pierre Lafaye de Micheaux |
| asymptor | 1.1.0 | Estimate Asymptomatic Cases via Capture/Recapture Methods | Hugo Gruson |
| async | 0.3.2 | Coroutines: Generators / Yield, Async / Await, and Streams | Peter Meilstrup |
| AsynchLong | 2.3 | Regression Analysis of Sparse Asynchronous Longitudinal Data | Shannon T. Holloway |
| ata | 1.1.1 | Automated Test Assembly | Michael Chajewski |
| atable | 0.1.14 | Create Tables for Reporting Clinical Trials | Armin Ströbel |
| ATAforecasting | 0.0.60 | Automatic Time Series Analysis and Forecasting using the Ata
Method | Ali Sabri Taylan |
| atakrig | 0.9.8.1 | Area-to-Area Kriging | Maogui Hu |
| ATbounds | 0.1.0 | Bounding Treatment Effects by Limited Information Pooling | Sokbae Lee |
| AteMeVs | 0.1.0 | Average Treatment Effects with Measurement Error and Variable
Selection for Confounders | Li-Pang Chen |
| atime | 2024.3.5 | Asymptotic Timing | Toby Hocking |
| atlas | 1.0.0 | Stanford 'ATLAS' Search Engine API | Vladimir Polony |
| AtlasMaker | 0.1.0 | Make Multiple 'leaflet' Maps in 'Shiny' | Rachel Greenlee |
| AtmChile | 1.0.1 | Download Air Quality and Meteorological Information of Chile | Francisco Catalan Meyer |
| atmopt | 0.1.0 | Analysis-of-Marginal-Tail-Means | Simon Mak |
| ATNr | 1.1.0 | Run Allometric Trophic Networks Models | Benoit Gauzens |
| atom4R | 0.3-3 | Tools to Handle and Publish Metadata as 'Atom' XML Format | Emmanuel Blondel |
| atpolR | 0.1.1 | ATPOL Grid Implementation | Grzegorz Sapijaszko |
| ATR | 0.1-1 | Alternative Tree Representation | Torsten Hothorn |
| atRisk | 0.1.0 | At-Risk | Quentin Lajaunie |
| atrrr | 0.0.3 | Wrapper for the 'AT' Protocol Behind 'Bluesky' | Johannes B. Gruber |
| aTSA | 3.1.2.1 | Alternative Time Series Analysis | Debin Qiu |
| attachment | 0.4.1 | Deal with Dependencies | Sébastien Rochette |
| attempt | 0.3.1 | Tools for Defensive Programming | Colin Fay |
| attention | 0.4.0 | Self-Attention Algorithm | Bastiaan Quast |
| attenuation | 1.0.0 | Correcting for Attenuation Due to Measurement Error | Jonas Moss |
| attrib | 2021.1.2 | Attributable Burden of Disease | Richard Aubrey White |
| AUC | 0.3.2 | Threshold Independent Performance Measures for Probabilistic
Classifiers | Michel Ballings |
| auctestr | 1.0.0 | Statistical Testing for AUC Data | Josh Gardner |
| auctionr | 0.1.0 | Estimate First-Price Auction Model | Alex MacKay |
| audio | 0.1-11 | Audio Interface for R | Simon Urbanek |
| audiometry | 0.3.0 | Standard Conform Pure Tone Audiometry (PTA) Plots | Bernhard Lehnert |
| audit | 0.1-2 | Bounds for Accounting Populations | Glen Meeden |
| auditor | 1.3.5 | Model Audit - Verification, Validation, and Error Analysis | Alicja Gosiewska |
| audrex | 2.0.1 | Automatic Dynamic Regression using Extreme Gradient Boosting | Giancarlo Vercellino |
| audubon | 0.5.1 | Japanese Text Processing Tools | Akiru Kato |
| augmentedRCBD | 0.1.7 | Analysis of Augmented Randomised Complete Block Designs | J. Aravind |
| augSIMEX | 3.7.4 | Analysis of Data with Mixed Measurement Error and
Misclassification in Covariates | Qihuang Zhang |
| auk | 0.7.0 | eBird Data Extraction and Processing in R | Matthew Strimas-Mackey |
| aum | 2023.6.14 | Area Under Minimum of False Positives and Negatives | Toby Dylan Hocking |
| AurieLSHGaussian | 0.2.0 | Creates a Neighbourhood Using Locality Sensitive Hashing for
Gaussian Projections | Aritra Banerjee |
| auRoc | 0.2-1 | Various Methods to Estimate the AUC | Dai Feng |
| ausplotsR | 2.0.5 | TERN AusPlots Australian Ecosystem Monitoring Data | Greg Guerin |
| AustralianPoliticians | 0.1.0 | Provides Datasets About Australian Politicians | Rohan Alexander |
| AUtests | 0.99 | Approximate Unconditional and Permutation Tests | Arjun Sondhi |
| auth0 | 0.2.3 | Authentication in Shiny with Auth0 | Julio Trecenti |
| auto.pca | 0.3 | Automatic Variable Reduction Using Principal Component Analysis | Navinkumar Nedunchezhian |
| AutoAds | 0.1.0 | Advertisement Metrics Calculation | Ivan Nemtsev |
| autoBagging | 0.1.0 | Learning to Rank Bagging Workflows with Metalearning | Vitor Cerqueira |
| autocart | 1.4.5 | Autocorrelation Regression Trees | Ethan Ancell |
| autocogs | 0.1.4 | Automatic Cognostic Summaries | Ryan Hafen |
| autoCovariateSelection | 1.0.0 | Automated Covariate Selection Using HDPS Algorithm | Dennis Robert |
| AutoDeskR | 0.1.3 | An Interface to the 'AutoDesk' 'API' Platform | Paul Govan |
| autoEnsemble | 0.2 | Automated Stacked Ensemble Classifier for Severe Class Imbalance | E. F. Haghish |
| autoFC | 0.2.0.1001 | Automatic Construction of Forced-Choice Tests | Mengtong Li |
| autoFRK | 1.4.3 | Automatic Fixed Rank Kriging | ShengLi Tzeng |
| autoGO | 0.9.1 | Auto-GO: Reproducible, Robust and High Quality Ontology
Enrichment Visualizations | Fabio Ticconi |
| autoharp | 0.0.10 | Semi-Automatic Grading of R and Rmd Scripts | Vik Gopal |
| autohrf | 1.1.3 | Automated Generation of Data-Informed GLM Models in Task-Based
fMRI Data Analysis | Jure Demšar |
| autoimage | 2.2.3 | Multiple Heat Maps for Projected Coordinates | Joshua French |
| autokeras | 1.0.12 | R Interface to 'AutoKeras' | Juan Cruz Rodriguez |
| automagic | 0.5.1 | Automagically Document and Install Packages Necessary to Run R
Code | Cole Brokamp |
| automap | 1.1-9 | Automatic Interpolation Package | Jon Olav Skoien |
| autoMFA | 1.0.0 | Algorithms for Automatically Fitting MFA Models | John Davey |
| automl | 1.3.2 | Deep Learning with Metaheuristic | Alex Boulangé |
| autoMrP | 1.0.6 | Improving MrP with Ensemble Learning | Philipp Broniecki |
| autonewsmd | 0.0.6 | Auto-Generate Changelog using Conventional Commits | Lorenz A. Kapsner |
| AutoPipe | 0.1.6 | Automated Transcriptome Classifier Pipeline: Comprehensive
Transcriptome Analysis | Karam Daka |
| autoplotly | 0.1.4 | Automatic Generation of Interactive Visualizations for
Statistical Results | Yuan Tang |
| Autoplotprotein | 1.1 | Development of Visualization Tools for Protein Sequence | Yao Geng |
| AutoPlots | 1.0.0 | Creating Echarts Visualizations as Easy as Possible | Adrian Antico |
| autoRasch | 0.2.2 | Semi-Automated Rasch Analysis | Feri Wijayanto |
| autoReg | 0.3.3 | Automatic Linear and Logistic Regression and Survival Analysis | Keon-Woong Moon |
| AutoregressionMDE | 1.0 | Minimum Distance Estimation in Autoregressive Model | Jiwoong Kim |
| AutoScore | 1.0.0 | An Interpretable Machine Learning-Based Automatic Clinical Score
Generator | Feng Xie |
| autoScorecard | 0.3.0 | Fully Automatic Generation of Scorecards | Tai-Sen Zheng |
| Autoseed | 0.1.0 | Retrieve Disease-Related Genes from Public Sources | Jiawei Wu |
| autoshiny | 0.0.3 | Automatic Transformation of an 'R' Function into a 'shiny' App | Aleksander Rutkowski |
| AutoStepwiseGLM | 0.2.0 | Builds Stepwise GLMs via Train and Test Approach | Aaron England |
| autostsm | 3.1.4 | Automatic Structural Time Series Models | Alex Hubbard |
| autothresholdr | 1.4.2 | An R Port of the 'ImageJ' Plugin 'Auto Threshold' | Rory Nolan |
| AutoTransQF | 0.1.3 | A Novel Automatic Shifted Log Transformation | Yue Hu |
| autoTS | 0.9.11 | Automatic Model Selection and Prediction for Univariate Time
Series | Vivien Roussez |
| AutoWeatherIndices | 0.1.0 | Calculating Weather Indices | Achal Lama |
| av | 0.9.0 | Working with Audio and Video in R | Jeroen Ooms |
| available | 1.1.0 | Check if the Title of a Package is Available, Appropriate and
Interesting | Gábor Csárdi |
| avar | 0.1.3 | Allan Variance | Stéphane Guerrier |
| averisk | 1.0.3 | Calculation of Average Population Attributable Fractions and
Confidence Intervals | John Ferguson |
| avesperu | 0.0.2 | Access to the List of Birds Species of Peru | Paul E. Santos Andrade |
| AVGAS | 0.1.0 | A Variable Selection using Genetic Algorithms | Leiyue Li |
| avidaR | 1.2.0 | A Computational Biologist’s Toolkit To Get Data From 'avidaDB' | Raúl Ortega |
| AvInertia | 0.0.2 | Calculate the Inertial Properties of a Flying Bird | Christina Harvey |
| aVirtualTwins | 1.0.1 | Adaptation of Virtual Twins Method from Jared Foster | Francois Vieille |
| avocado | 0.1.0 | Weekly Hass Avocado Sales Summary | Nikhil Agarwal |
| aweek | 1.0.3 | Convert Dates to Arbitrary Week Definitions | Zhian N. Kamvar |
| aweSOM | 1.3 | Interactive Self-Organizing Maps | Julien Boelaert |
| awinR | 0.1.0 | Get Data from 'Awin' via the 'Windsor.ai' API | Pablo Sanchez |
| AWR | 1.11.189-1 | 'AWS' Java 'SDK' for R | Gergely Daroczi |
| AWR.Kinesis | 1.7.6 | Amazon 'Kinesis' Consumer Application for Stream Processing | Gergely Daroczi |
| aws | 2.5-5 | Adaptive Weights Smoothing | Joerg Polzehl |
| aws.alexa | 0.1.8 | Client for the Amazon Alexa Web Information Services API | Gaurav Sood |
| aws.comprehend | 0.2.1 | Client for 'AWS Comprehend' | Antoine Sachet |
| aws.ec2metadata | 0.2.0 | Get EC2 Instance Metadata | Jonathan Stott |
| aws.ecx | 1.0.5 | Communicating with AWS EC2 and ECS using AWS REST APIs | Jiefei Wang |
| aws.iam | 0.1.8 | AWS IAM Client Package | Simon Urbanek |
| aws.kms | 0.1.4 | 'AWS Key Management Service' Client Package | Simon Urbanek |
| aws.lambda | 0.2.0 | AWS Lambda Client Package | Jon Harmon |
| aws.polly | 0.1.5 | Client for AWS Polly | Antoine Sachet |
| aws.s3 | 0.3.21 | 'AWS S3' Client Package | Simon Urbanek |
| aws.signature | 0.6.0 | Amazon Web Services Request Signatures | Jonathan Stott |
| aws.transcribe | 0.1.3 | Client for 'AWS Transcribe' | Antoine Sachet |
| aws.translate | 0.1.4 | Client for 'AWS Translate' | Antoine Sachet |
| aws.wrfsmn | 0.0.3 | Data Processing of SMN Hi-Res Weather Forecast from 'AWS' | Gonzalo Diaz |
| awsMethods | 1.1-1 | Class and Methods Definitions for Packages 'aws', 'adimpro',
'fmri', 'dwi' | Joerg Polzehl |
| axisandallies | 0.1.0 | Axis and Allies Spring | TJ Weaver |
| azlogr | 0.0.6 | Logging in 'R' and Post to 'Azure Log Analytics' Workspace | Vivek Atal |
| AzureAppInsights | 0.3.1 | Include Azure Application Insights in Shiny Apps | Stefan McKinnon Edwards |
| AzureAuth | 1.3.3 | Authentication Services for Azure Active Directory | Hong Ooi |
| AzureCognitive | 1.0.1 | Interface to Azure Cognitive Services | Hong Ooi |
| AzureContainers | 1.3.2 | Interface to 'Container Instances', 'Docker Registry' and
'Kubernetes' in 'Azure' | Hong Ooi |
| AzureCosmosR | 1.0.0 | Interface to the 'Azure Cosmos DB' 'NoSQL' Database Service | Hong Ooi |
| AzureGraph | 1.3.4 | Simple Interface to 'Microsoft Graph' | Hong Ooi |
| AzureKeyVault | 1.0.5 | Key and Secret Management in 'Azure' | Hong Ooi |
| AzureKusto | 1.1.3 | Interface to 'Kusto'/'Azure Data Explorer' | Alex Kyllo |
| azuremlsdk | 1.10.0 | Interface to the 'Azure Machine Learning' 'SDK' | Diondra Peck |
| AzureQstor | 1.0.1 | Interface to 'Azure Queue Storage' | Hong Ooi |
| AzureRMR | 2.4.4 | Interface to 'Azure Resource Manager' | Hong Ooi |
| AzureStor | 3.7.0 | Storage Management in 'Azure' | Hong Ooi |
| AzureTableStor | 1.0.0 | Interface to the Table Storage Service in 'Azure' | Hong Ooi |
| AzureVision | 1.0.2 | Interface to Azure Computer Vision Services | Hong Ooi |
| AzureVM | 2.2.2 | Virtual Machines in 'Azure' | Hong Ooi |
| AzureVMmetadata | 1.0.1 | Interface to Azure Virtual Machine Instance Metadata | Hong Ooi |
| b64 | 0.1.0 | Fast and Vectorized Base 64 Engine | Josiah Parry |
| babel | 0.3-0 | Ribosome Profiling Data Analysis | Adam B. Olshen |
| babelgene | 22.9 | Gene Orthologs for Model Organisms in a Tidy Data Format | Igor Dolgalev |
| babelmixr2 | 0.1.2 | Use 'nlmixr2' to Interact with Open Source and Commercial
Software | Matthew Fidler |
| babelwhale | 1.2.0 | Talking to 'Docker' and 'Singularity' Containers | Robrecht Cannoodt |
| babsim.hospital | 11.8.8 | Bartz & Bartz Simulation Hospital | Thomas Bartz-Beielstein |
| babynames | 1.0.1 | US Baby Names 1880-2017 | Hadley Wickham |
| babynamesIL | 0.0.2 | Israel Baby Names 1948-2022 | Aviezer Lifshitz |
| BACCO | 2.1-0 | Bayesian Analysis of Computer Code Output (BACCO) | Robin K. S. Hankin |
| BACCT | 1.0 | Bayesian Augmented Control for Clinical Trials | Hongtao Zhang |
| bacistool | 1.0.0 | Bayesian Classification and Information Sharing (BaCIS) Tool for
the Design of Multi-Group Phase II Clinical Trials | J. Jack Lee |
| backbone | 2.1.3 | Extracts the Backbone from Graphs | Zachary Neal |
| backpipe | 0.2.3 | Backward Pipe (Right-to-Left) Operator | Christopher Brown |
| backports | 1.4.1 | Reimplementations of Functions Introduced Since R-3.0.0 | Michel Lang |
| backShift | 0.1.4.3 | Learning Causal Cyclic Graphs from Unknown Shift Interventions | Christina Heinze-Deml |
| backtest | 0.3-4 | Exploring Portfolio-Based Conjectures About Financial
Instruments | Daniel Gerlanc |
| bacondecomp | 0.1.1 | Goodman-Bacon Decomposition | Evan Flack |
| BACprior | 2.1.1 | Choice of Omega in the BAC Algorithm | Denis Talbot |
| bacr | 1.0.1 | Bayesian Adjustment for Confounding | Chi Wang |
| badgen | 1.0.0 | Fast and Simple Badge Generator | Jeroen Ooms |
| badger | 0.2.3 | Badge for R Package | Guangchuang Yu |
| baffle | 0.2.2 | Make Waffle Plots with Base Graphics | Jiří Moravec |
| bagged.outliertrees | 1.0.0 | Robust Explainable Outlier Detection Based on OutlierTree | Rafael Santos |
| baggr | 0.7.8 | Bayesian Aggregate Treatment Effects | Witold Wiecek |
| BAGofT | 1.0.0 | A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) | Jiawei Zhang |
| baguette | 1.0.2 | Efficient Model Functions for Bagging | Max Kuhn |
| bahc | 0.3.0 | Filter Covariance and Correlation Matrices with
Bootstrapped-Averaged Hierarchical Ansatz | Damien Challet |
| bain | 0.2.10 | Bayes Factors for Informative Hypotheses | Caspar J van Lissa |
| baizer | 0.8.0 | Useful Functions for Data Processing | William Song |
| bakeoff | 0.2.0 | Data from "The Great British Bake Off" | Alison Hill |
| baker | 1.0.3 | "Nested Partially Latent Class Models" | Zhenke Wu |
| bakR | 1.0.1 | Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets | Isaac Vock |
| BalanceCheck | 0.2 | Balance Check for Multiple Covariates in Matched Observational
Studies | Hao Chen |
| BalancedSampling | 2.0.6 | Balanced and Spatially Balanced Sampling | Anton Grafström |
| baldur | 0.0.3 | Bayesian Hierarchical Modeling for Label-Free Proteomics | Philip Berg |
| Ball | 1.3.13 | Statistical Inference and Sure Independence Screening via Ball
Statistics | Jin Zhu |
| BALLI | 0.2.0 | Expression RNA-Seq Data Analysis Based on Linear Mixed Model | Kyungtaek Park |
| BallMapper | 0.2.0 | The Ball Mapper Algorithm | Pawel Dlotko |
| BaM | 1.0.3 | Functions and Datasets for "Bayesian Methods: A Social and
Behavioral Sciences Approach" | Jeff Gill |
| bama | 1.3.0 | High Dimensional Bayesian Mediation Analysis | Mike Kleinsasser |
| BAMBI | 2.3.5 | Bivariate Angular Mixture Models | Saptarshi Chakraborty |
| bambooHR | 0.1.1 | A Wrapper to the 'BambooHR' API | Tom Bowling |
| bamdit | 3.4.0 | Bayesian Meta-Analysis of Diagnostic Test Data | Pablo Emilio Verde |
| bamlss | 1.2-3 | Bayesian Additive Models for Location, Scale, and Shape (and
Beyond) | Nikolaus Umlauf |
| bamm | 0.4.3 | Species Distribution Models as a Function of Biotic, Abiotic and
Movement Factors (BAM) | Luis Osorio-Olvera |
| BAMMtools | 2.1.11 | Analysis and Visualization of Macroevolutionary Dynamics on
Phylogenetic Trees | Pascal Title |
| bamp | 2.1.3 | Bayesian Age-Period-Cohort Modeling and Prediction | Volker Schmid |
| bandicoot | 1.0.0 | Light-Weight 'python'-Like Object-Oriented System | Weihao Li |
| bandit | 0.5.1 | Functions for Simple a/B Split Test and Multi-Armed Bandit
Analysis | Markus Loecher |
| banditpam | 1.0-1 | Almost Linear-Time k-Medoids Clustering | Balasubramanian Narasimhan |
| bandsfdp | 1.1.0 | Compute Upper Prediction Bounds on the FDP in Competition-Based
Setups | Arya Ebadi |
| bang | 1.0.3 | Bayesian Analysis, No Gibbs | Paul J. Northrop |
| bangladesh | 1.0.0 | Provides Ready to Use Shapefiles for Geographical Map of
Bangladesh | Musaddiqur Rahman Ovi |
| bannerCommenter | 1.0.0 | Make Banner Comments with a Consistent Format | Bill Venables |
| BANOVA | 1.2.1 | Hierarchical Bayesian ANOVA Models | Chen Dong |
| banter | 0.9.6 | BioAcoustic eveNT classifiER | Eric Archer |
| banxicoR | 0.9.0 | Download Data from the Bank of Mexico | Eduardo Flores |
| bapred | 1.1 | Batch Effect Removal and Addon Normalization (in Phenotype
Prediction using Gene Data) | Roman Hornung |
| BAR | 0.1.1 | Bayesian Adaptive Randomization | Chia-Wei Hsu |
| BarBorGradient | 1.0.5 | Function Minimum Approximator | János Hevner |
| barcode | 1.3.0 | Render Barcode Distribution Plots | John W. Emerson |
| baRcodeR | 0.1.7 | Label Creation for Tracking and Collecting Data from Biological
Samples | Robert Colautti |
| BarcodingR | 1.0-3 | Species Identification using DNA Barcodes | Ai-bing ZHANG |
| bardr | 0.0.9 | Complete Works of William Shakespeare in Tidy Format | Zane Billings |
| bark | 1.0.4 | Bayesian Additive Regression Kernels | Merlise Clyde |
| Barnard | 1.8 | Barnard's Unconditional Test | Kamil Erguler |
| BART | 2.9.7 | Bayesian Additive Regression Trees | Rodney Sparapani |
| bartCause | 1.0-6 | Causal Inference using Bayesian Additive Regression Trees | Vincent Dorie |
| bartcs | 1.2.1 | Bayesian Additive Regression Trees for Confounder Selection | Yeonghoon Yoo |
| bartMachine | 1.3.4.1 | Bayesian Additive Regression Trees | Adam Kapelner |
| bartMachineJARs | 1.2.1 | bartMachine JARs | Adam Kapelner |
| baRulho | 1.0.6 | Quantifying Habitat-Induced Acoustic Signal Degradation | Marcelo Araya-Salas |
| BAS | 1.7.1 | Bayesian Variable Selection and Model Averaging using Bayesian
Adaptive Sampling | Merlise Clyde |
| basad | 0.3.0 | Bayesian Variable Selection with Shrinking and Diffusing Priors | Qingyan Xiang |
| base.rms | 1.0 | Convert Regression Between Base Function and 'rms' Package | Jing Zhang |
| base64 | 2.0.1 | Base64 Encoder and Decoder | Jeroen Ooms |
| base64enc | 0.1-3 | Tools for base64 encoding | Simon Urbanek |
| base64url | 1.4 | Fast and URL-Safe Base64 Encoder and Decoder | Michel Lang |
| baseballr | 1.6.0 | Acquiring and Analyzing Baseball Data | Saiem Gilani |
| basedosdados | 0.2.2 | 'Base Dos Dados' R Client | Pedro Cavalcante |
| basefun | 1.1-4 | Infrastructure for Computing with Basis Functions | Torsten Hothorn |
| baseline | 1.3-5 | Baseline Correction of Spectra | Kristian Hovde Liland |
| basemaps | 0.0.6 | Accessing Spatial Basemaps in R | Jakob Schwalb-Willmann |
| basemodels | 1.1.0 | Baseline Models for Classification and Regression | Ying-Ju Chen |
| baseq | 0.1.4 | Basic Sequence Processing Tool for Biological Data | Ambu Vijayan |
| BaseSet | 0.9.0 | Working with Sets the Tidy Way | Lluís Revilla Sancho |
| BaseTempSeed | 0.1.0 | Estimation of Seed Germination Base Temperature in Thermal
Modelling | Dr. Himadri Ghosh |
| basetheme | 0.1.3 | Themes for Base Graphics Plots | Karolis Koncevičius |
| basf | 0.2.0 | Plot Simple Features with 'base' Sensibilities | Michael Sumner |
| basicdrm | 0.1.0 | Fit Hill Dose Response Models | Nathaniel Twarog |
| basicMCMCplots | 0.2.7 | Trace Plots, Density Plots and Chain Comparisons for MCMC
Samples | Daniel Turek |
| basictabler | 1.0.2 | Construct Rich Tables for Output to 'HTML'/'Excel' | Christopher Bailiss |
| basifoR | 0.4 | Retrieval and Processing of the Spanish National Forest
Inventory | Wilson Lara |
| BASiNET | 0.0.5 | Classification of RNA Sequences using Complex Network Theory | Fabricio Martins Lopes |
| BASiNETEntropy | 0.99.6 | Classification of RNA Sequences using Complex Network and
Information Theory | Fabricio Martins Lopes |
| BaSkePro | 1.1.1 | Bayesian Model to Archaeological Faunal Skeletal Profiles | Marco Vidal-Cordasco |
| basket | 0.10.11 | Basket Trial Analysis | Michael J. Kane |
| BasketballAnalyzeR | 0.5.0 | Analysis and Visualization of Basketball Data | Marco Sandri |
| baskexact | 1.0.1 | Analytical Calculation of Basket Trial Operating Characteristics | Lukas Baumann |
| BASS | 1.3.1 | Bayesian Adaptive Spline Surfaces | Devin Francom |
| BAT | 2.9.6 | Biodiversity Assessment Tools | Pedro Cardoso |
| batata | 0.2.1 | Managing Packages Removal and Installation | Mohamed El Fodil Ihaddaden |
| batch | 1.1-5 | Batching Routines in Parallel and Passing Command-Line Arguments
to R | Thomas Hoffmann |
| BatchExperiments | 1.4.3 | Statistical Experiments on Batch Computing Clusters | Michel Lang |
| BatchGetSymbols | 2.6.4 | Downloads and Organizes Financial Data for Multiple Tickers | Marcelo Perlin |
| BatchJobs | 1.9 | Batch Computing with R | Bernd Bischl |
| batchmeans | 1.0-4 | Consistent Batch Means Estimation of Monte Carlo Standard Errors | John Hughes |
| batchmix | 2.1.0 | Semi-Supervised Bayesian Mixture Models Incorporating Batch
Correction | Stephen Coleman |
| batchscr | 0.1.0 | Batch Script Helpers | Sherry Zhao |
| batchtma | 0.1.6 | Batch Effect Adjustments | Konrad Stopsack |
| batchtools | 0.9.17 | Tools for Computation on Batch Systems | Michel Lang |
| bate | 0.1.0 | Computes Bias-Adjusted Treatment Effect | Deepankar Basu |
| batman | 0.1.0 | Convert Categorical Representations of Logicals to Actual
Logicals | Oliver Keyes |
| batsch | 0.1.0 | Real-Time PCR Data Sets by Batsch et al. (2008) | Ramiro Magno |
| batteryreduction | 0.1.1 | An R Package for Data Reduction by Battery Reduction | Chunqiao Luo |
| BAwiR | 1.3.2 | Analysis of Basketball Data | Guillermo Vinue |
| bayclumpr | 0.1.0 | Bayesian Analysis of Clumped Isotope Datasets | Cristian Roman Palacios |
| baycn | 1.2.0 | Bayesian Inference for Causal Networks | Evan A Martin |
| bayefdr | 0.2.1 | Bayesian Estimation and Optimisation of Expected False Discovery
Rate | Alan O'Callaghan |
| Bayenet | 0.2 | Bayesian Quantile Elastic Net for Genetic Study | Xi Lu |
| bayes4psy | 1.2.12 | User Friendly Bayesian Data Analysis for Psychology | Jure Demšar |
| bayesAB | 1.1.3 | Fast Bayesian Methods for AB Testing | Frank Portman |
| bayesammi | 0.1.0 | Bayesian Estimation of the Additive Main Effects and
Multiplicative Interaction Model | Muhammad Yaseen |
| bayesanova | 1.6 | Bayesian Inference in the Analysis of Variance via Markov Chain
Monte Carlo in Gaussian Mixture Models | Riko Kelter |
| BayesARIMAX | 0.1.1 | Bayesian Estimation of ARIMAX Model | Achal Lama |
| bayesassurance | 0.1.0 | Bayesian Assurance Computation | Jane Pan |
| BayesBEKK | 0.1.1 | Bayesian Estimation of Bivariate Volatility Model | Achal Lama |
| BayesBinMix | 1.4.1 | Bayesian Estimation of Mixtures of Multivariate Bernoulli
Distributions | Panagiotis Papastamoulis |
| bayesbio | 1.0.0 | Miscellaneous Functions for Bioinformatics and Bayesian
Statistics | Andrew McKenzie |
| bayesboot | 0.2.2 | An Implementation of Rubin's (1981) Bayesian Bootstrap | Rasmus Bååth |
| BayesBP | 1.1 | Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix | Li-Syuan Hong |
| BayesCACE | 1.2.3 | Bayesian Model for CACE Analysis | Jinhui Yang |
| BayesCombo | 1.0 | Bayesian Evidence Combination | Stanley E. Lazic |
| BayesComm | 0.1-2 | Bayesian Community Ecology Analysis | Nick Golding
|
| bayescopulareg | 0.1.3 | Bayesian Copula Regression | Ethan Alt |
| bayescount | 0.9.99-9 | Power Calculations and Bayesian Analysis of Count Distributions
and FECRT Data using MCMC | Matthew Denwood |
| BayesCR | 2.1 | Bayesian Analysis of Censored Regression Models Under Scale
Mixture of Skew Normal Distributions | Aldo M. Garay |
| bayesCT | 0.99.3 | Simulation and Analysis of Adaptive Bayesian Clinical Trials | Thevaa Chandereng |
| BayesCTDesign | 0.6.1 | Two Arm Bayesian Clinical Trial Design with and Without
Historical Control Data | Barry Eggleston |
| BayesCVI | 1.0.0 | Bayesian Cluster Validity Index | Onthada Preedasawakul |
| BayesDA | 2012.04-1 | Functions and Datasets for the book "Bayesian Data Analysis" | Kjetil Halvorsen |
| bayesDccGarch | 3.0.4 | Methods and Tools for Bayesian Dynamic Conditional Correlation
GARCH(1,1) Model | Jose Augusto Fiorucci |
| BayesDesign | 0.1.1 | Bayesian Single-Arm Design with Survival Endpoints | Chia-Wei Hsu |
| bayesdfa | 1.3.3 | Bayesian Dynamic Factor Analysis (DFA) with 'Stan' | Eric J. Ward |
| BayesDIP | 0.1.1 | Bayesian Decreasingly Informative Priors for Early Termination
Phase II Trials | Chen Wang |
| BayesDissolution | 0.2.0 | Bayesian Models for Dissolution Testing | Tony Pourmohamad |
| bayesdistreg | 0.1.0 | Bayesian Distribution Regression | Emmanuel Tsyawo |
| BayesDLMfMRI | 0.0.3 | Statistical Analysis for Task-Based Fmri Data | Carlos Pérez |
| bayesDP | 1.3.6 | Implementation of the Bayesian Discount Prior Approach for
Clinical Trials | Graeme L. Hickey |
| BayesESS | 0.1.19 | Determining Effective Sample Size | Jaejoon Song |
| BayesFactor | 0.9.12-4.7 | Computation of Bayes Factors for Common Designs | Richard D. Morey |
| BayesFBHborrow | 1.0.1 | Bayesian Dynamic Borrowing with Flexible Baseline Hazard
Function | Darren Scott |
| BayesFluxR | 0.1.3 | Implementation of Bayesian Neural Networks | Enrico Wegner |
| BayesFM | 0.1.5 | Bayesian Inference for Factor Modeling | Rémi Piatek |
| BayesfMRI | 0.3.11 | Spatial Bayesian Methods for Task Functional MRI Studies | Amanda Mejia |
| bayesforecast | 1.0.1 | Bayesian Time Series Modeling with Stan | Asael Alonzo Matamoros |
| bayesGAM | 0.0.2 | Fit Multivariate Response Generalized Additive Models using
Hamiltonian Monte Carlo | Samuel Thomas |
| bayesGARCH | 2.1.10 | Bayesian Estimation of the GARCH(1,1) Model with Student-t
Innovations | David Ardia |
| BayesGmed | 0.0.3 | Bayesian Causal Mediation Analysis using 'Stan' | Belay Birlie Yimer |
| BayesGOF | 5.2 | Bayesian Modeling via Frequentist Goodness-of-Fit | Doug Fletcher |
| BayesGPfit | 1.1.0 | Fast Bayesian Gaussian Process Regression Fitting | Jian Kang |
| BayesGrowth | 1.0.0 | Estimate Fish Growth Using MCMC Analysis | Jonathan Smart |
| BayesGWQS | 0.1.1 | Bayesian Grouped Weighted Quantile Sum Regression | Matthew Carli |
| bayesian | 0.0.9 | Bindings for Bayesian TidyModels | Hamada S. Badr |
| bayesianETAS | 1.0.3 | Bayesian Estimation of the ETAS Model for Earthquake Occurrences | Gordon J. Ross |
| BayesianFactorZoo | 0.0.0.2 | Bayesian Solutions for the Factor Zoo: We Just Ran Two
Quadrillion Models | Jiantao Huang |
| Bayesiangammareg | 0.1.0 | Bayesian Gamma Regression: Joint Mean and Shape Modeling | Arturo Camargo Lozano |
| BayesianGLasso | 0.2.0 | Bayesian Graphical Lasso | Patrick Trainor |
| BayesianLaterality | 0.1.2 | Predict Brain Asymmetry Based on Handedness and Dichotic
Listening | Oystein Sorensen |
| BayesianMCPMod | 1.0.1 | Simulate, Evaluate, and Analyze Dose Finding Trials with
Bayesian MCPMod | Stephan Wojciekowski |
| BayesianMediationA | 1.0.1 | Bayesian Mediation Analysis | Qingzhao Yu |
| BayesianNetwork | 0.3 | Bayesian Network Modeling and Analysis | Paul Govan |
| BayesianPlatformDesignTimeTrend | 1.2.3 | Simulate and Analyse Bayesian Platform Trial with Time Trend | Ziyan Wang |
| BayesianPower | 0.2.3 | Sample Size and Power for Comparing Inequality Constrained
Hypotheses | Fayette Klaassen |
| BayesianReasoning | 0.4.2 | Plot Positive and Negative Predictive Values for Medical Tests | Gorka Navarrete |
| BayesianTools | 0.1.8 | General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics | Florian Hartig |
| Bayesiantreg | 1.0.1 | Bayesian t Regression for Modeling Mean and Scale Parameters | Margarita Marin |
| bayesianVARs | 0.1.2 | MCMC Estimation of Bayesian Vectorautoregressions | Luis Gruber |
| bayesImageS | 0.6-1 | Bayesian Methods for Image Segmentation using a Potts Model | Matt Moores |
| BayesLCA | 1.9 | Bayesian Latent Class Analysis | Arthur White |
| bayesLife | 5.2-0 | Bayesian Projection of Life Expectancy | Hana Sevcikova |
| bayeslm | 1.0.1 | Efficient Sampling for Gaussian Linear Regression with Arbitrary
Priors | Jingyu He |
| BayesLN | 0.2.10 | Bayesian Inference for Log-Normal Data | Aldo Gardini |
| BayesLogit | 2.1 | PolyaGamma Sampling | Jesse Windle |
| bayeslongitudinal | 0.1.0 | Adjust Longitudinal Regression Models Using Bayesian Methodology | Edwin Javier Castillo Carreño |
| bayesm | 3.1-6 | Bayesian Inference for Marketing/Micro-Econometrics | Peter Rossi |
| BayesMallows | 2.1.1 | Bayesian Preference Learning with the Mallows Rank Model | Oystein Sorensen |
| BayesMassBal | 1.1.0 | Bayesian Data Reconciliation of Separation Processes | Scott Koermer |
| bayesmeta | 3.4 | Bayesian Random-Effects Meta-Analysis and Meta-Regression | Christian Roever |
| BayesMFSurv | 0.1.0 | Bayesian Misclassified-Failure Survival Model | Nicolas Schmidt |
| bayesMig | 0.4-6 | Bayesian Projection of Migration | Hana Sevcikova |
| bayesmix | 0.7-6 | Bayesian Mixture Models with JAGS | Bettina Gruen |
| BayesMixSurv | 0.9.1 | Bayesian Mixture Survival Models using Additive
Mixture-of-Weibull Hazards, with Lasso Shrinkage and
Stratification | Alireza S. Mahani |
| bayesmlogit | 1.0.1 | A Multistate Life Table (MSLT) Methodology Based on Bayesian
Approach | Xuezhixing Zhang |
| BayesMortalityPlus | 0.2.3 | Bayesian Mortality Modelling | Luiz Fernando Figueiredo |
| bayesmove | 0.2.1 | Non-Parametric Bayesian Analyses of Animal Movement | Joshua Cullen |
| bayesMRM | 2.4.0 | Bayesian Multivariate Receptor Modeling | Man-Suk Oh |
| BayesMultiMode | 0.7.1 | Bayesian Mode Inference | Paul Labonne |
| BayesMultMeta | 0.1.1 | Bayesian Multivariate Meta-Analysis | Erik Thorsén |
| bayesnec | 2.1.2.0 | A Bayesian No-Effect- Concentration (NEC) Algorithm | Rebecca Fisher |
| BayesNetBP | 1.6.1 | Bayesian Network Belief Propagation | Han Yu |
| BayesNSGP | 0.1.2 | Bayesian Analysis of Non-Stationary Gaussian Process Models | Daniel Turek |
| BayesOrdDesign | 0.1.2 | Bayesian Group Sequential Design for Ordinal Data | Chengxue Zhong |
| BayesPieceHazSelect | 1.1.0 | Variable Selection in a Hierarchical Bayesian Model for a Hazard
Function | Andrew Chapple |
| bayesplay | 0.9.3 | The Bayes Factor Playground | Lincoln John Colling |
| bayesplot | 1.11.1 | Plotting for Bayesian Models | Jonah Gabry |
| bayespm | 0.2.0 | Bayesian Statistical Process Monitoring | Dimitrios Kiagias |
| bayesPO | 0.5.0 | Bayesian Inference for Presence-Only Data | Guido Alberti Moreira |
| bayesPop | 10.0-1 | Probabilistic Population Projection | Hana Sevcikova |
| BayesPostEst | 0.3.2 | Generate Postestimation Quantities for Bayesian MCMC Estimation | Shana Scogin |
| BayesPPD | 1.1.2 | Bayesian Power Prior Design | Yueqi Shen |
| BayesPPDSurv | 1.0.3 | Bayesian Power Prior Design for Survival Data | Yueqi Shen |
| BayesProject | 1.0 | Fast Projection Direction for Multivariate Changepoint Detection | Georg Hahn |
| bayesQR | 2.4 | Bayesian Quantile Regression | Dries F. Benoit |
| bayesRecon | 0.2.0 | Probabilistic Reconciliation via Conditioning | Dario Azzimonti |
| bayesreg | 1.2 | Bayesian Regression Models with Global-Local Shrinkage Priors | Daniel F. Schmidt |
| Bayesrel | 0.7.7 | Bayesian Reliability Estimation | Julius M. Pfadt |
| BayesRep | 0.42.2 | Bayesian Analysis of Replication Studies | Samuel Pawel |
| BayesRepDesign | 0.42 | Bayesian Design of Replication Studies | Samuel Pawel |
| BayesReversePLLH | 1.5 | Fits the Bayesian Piecewise Linear Log-Hazard Model | Andrew G Chapple |
| BayesRGMM | 2.2 | Bayesian Robust Generalized Mixed Models for Longitudinal Data | Kuo-Jung Lee |
| bayesROE | 0.1 | Bayesian Regions of Evidence | Robert Miller |
| BayesRS | 0.1.3 | Bayes Factors for Hierarchical Linear Models with Continuous
Predictors | Mirko Thalmann |
| bayesrules | 0.0.2 | Datasets and Supplemental Functions from Bayes Rules! Book | Mine Dogucu |
| bayess | 1.6 | Bayesian Essentials with R | Jean-Michel Marin |
| BayesS5 | 1.41 | Bayesian Variable Selection Using Simplified Shotgun Stochastic
Search with Screening (S5) | Minsuk Shin |
| BayesSampling | 1.1.0 | Bayes Linear Estimators for Finite Population | Pedro Soares Figueiredo |
| BayesSenMC | 0.1.5 | Different Models of Posterior Distributions of Adjusted Odds
Ratio | Jinhui Yang |
| BayesSUR | 2.1-6 | Bayesian Seemingly Unrelated Regression | Zhi Zhao |
| bayesSurv | 3.7 | Bayesian Survival Regression with Flexible Error and Random
Effects Distributions | Arnošt Komárek |
| BayesSurvival | 0.2.0 | Bayesian Survival Analysis for Right Censored Data | Stephanie van der Pas |
| bayest | 1.5 | Effect Size Targeted Bayesian Two-Sample t-Tests via Markov
Chain Monte Carlo in Gaussian Mixture Models | Riko Kelter |
| bayestestR | 0.13.2 | Understand and Describe Bayesian Models and Posterior
Distributions | Dominique Makowski |
| bayesTFR | 7.4-2 | Bayesian Fertility Projection | Hana Sevcikova |
| BayesTools | 0.2.17 | Tools for Bayesian Analyses | František Bartoš |
| BayesTree | 0.3-1.5 | Bayesian Additive Regression Trees | Robert McCulloch |
| BayesTreePrior | 1.0.1 | Bayesian Tree Prior Simulation | Alexia Jolicoeur-Martineau |
| BayesTwin | 1.0 | Bayesian Analysis of Item-Level Twin Data | Inga Schwabe |
| BayesVarSel | 2.2.5 | Bayes Factors, Model Choice and Variable Selection in Linear
Models | Gonzalo Garcia-Donato |
| bayesvl | 0.8.5 | Visually Learning the Graphical Structure of Bayesian Networks
and Performing MCMC with 'Stan' | Viet-Phuong La |
| bayesWatch | 0.1.3 | Bayesian Change-Point Detection for Process Monitoring with
Fault Detection | Alexander C. Murph |
| BayesX | 0.3-3 | R Utilities Accompanying the Software Package BayesX | Nikolaus Umlauf |
| BayesXsrc | 3.0-5 | Distribution of the 'BayesX' C++ Sources | Nikolaus Umlauf |
| bayesZIB | 0.0.5 | Bayesian Zero-Inflated Bernoulli Regression Model | David Moriña Soler |
| bayfoxr | 0.0.1 | Global Bayesian Foraminifera Core Top Calibration | Steven Malevich |
| baygel | 0.3.0 | Bayesian Shrinkage Estimators for Precision Matrices in Gaussian
Graphical Models | Jarod Smith |
| bayMDS | 2.0 | Bayesian Multidimensional Scaling and Choice of Dimension | Man-Suk Oh |
| baymedr | 0.1.1 | Computation of Bayes Factors for Common Biomedical Designs | Maximilian Linde |
| baystability | 0.1.0 | Bayesian Stability Analysis of Genotype by Environment
Interaction (GEI) | Muhammad Yaseen |
| BAYSTAR | 0.2-10 | On Bayesian Analysis of Threshold Autoregressive Models | Edward M.H. Lin |
| baytrends | 2.0.11 | Long Term Water Quality Trend Analysis | Erik W Leppo |
| bazar | 1.0.11 | Miscellaneous Basic Functions | Paul Poncet |
| BB | 2019.10-1 | Solving and Optimizing Large-Scale Nonlinear Systems | Paul Gilbert |
| bbdetection | 1.0 | Identification of Bull and Bear States of the Market | Valeriy Zakamulin |
| BBEST | 0.1-8 | Bayesian Estimation of Incoherent Neutron Scattering Backgrounds | Anton Gagin |
| BBI | 0.3.0 | Benthic Biotic Indices Calculation from Composition Data | Tristan Cordier |
| bbknnR | 1.1.1 | Perform Batch Balanced KNN in R | Yuchen Li |
| bbl | 1.0.0 | Boltzmann Bayes Learner | Jun Woo |
| BBmisc | 1.13 | Miscellaneous Helper Functions for B. Bischl | Bernd Bischl |
| bbmix | 1.0.0 | Bayesian Model for Genotyping using RNA-Seq | Elena Vigorito |
| bbmle | 1.0.25.1 | Tools for General Maximum Likelihood Estimation | Ben Bolker |
| bbotk | 0.8.0 | Black-Box Optimization Toolkit | Marc Becker |
| bbreg | 2.0.2 | Bessel and Beta Regressions via Expectation-Maximization
Algorithm for Continuous Bounded Data | Vinicius Mayrink |
| BBSSL | 0.1.0 | Bayesian Bootstrap Spike-and-Slab LASSO | Lizhen Nie |
| bbw | 0.2.0 | Blocked Weighted Bootstrap | Ernest Guevarra |
| bc3net | 1.0.4 | Gene Regulatory Network Inference with Bc3net | Ricardo de Matos Simoes |
| BCA1SG | 0.1.0 | Block Coordinate Ascent with One-Step Generalized Rosen
Algorithm | Wang Yudong |
| bcaboot | 0.2-3 | Bias Corrected Bootstrap Confidence Intervals | Balasubramanian Narasimhan |
| BCBCSF | 1.0-1 | Bias-Corrected Bayesian Classification with Selected Features | Longhai Li |
| BCC1997 | 0.1.1 | Calculation of Option Prices Based on a Universal Solution | Haoran Zhang |
| BCClong | 1.0.2 | Bayesian Consensus Clustering for Multiple Longitudinal Features | Zhiwen Tan <21zt9 at queensu.ca> |
| bccp | 0.5.0 | Bias Correction under Censoring Plan | Mahdi Teimouri |
| BCDAG | 1.1.0 | Bayesian Structure and Causal Learning of Gaussian Directed
Graphs | Alessandro Mascaro |
| bcdata | 0.4.1 | Search and Retrieve Data from the BC Data Catalogue | Andy Teucher |
| BCDating | 0.9.8 | Business Cycle Dating and Plotting Tools | Majid Einian |
| BcDiag | 1.0.10 | Diagnostics Plots for Bicluster Data | Ewoud De Troyer |
| BCE | 2.2.0 | Bayesian Composition Estimator: Estimating Sample (Taxonomic)
Composition from Biomarker Data | Karel Van den Meersche |
| BCEA | 2.4.6 | Bayesian Cost Effectiveness Analysis | Gianluca Baio |
| BCEE | 1.3.2 | The Bayesian Causal Effect Estimation Algorithm | Denis Talbot |
| bcf | 2.0.2 | Causal Inference using Bayesian Causal Forests | Jared S. Murray |
| bcfrailph | 0.1.1 | Semiparametric Bivariate Correlated Frailty Models Fit | Mesfin Tsegaye |
| bcfrailphdv | 0.1.1 | Bivariate Correlated Frailty Models with Varied Variances | Mesfin Tsegaye |
| bcgam | 1.0 | Bayesian Constrained Generalised Linear Models | Cristian Oliva-Aviles |
| BCgee | 0.1.1 | Bias-Corrected Estimates for Generalized Linear Models for
Dependent Data | Nicola Lunardon |
| BCHM | 1.00 | Clinical Trial Calculation Based on BCHM Design | J. Jack Lee |
| Bchron | 4.7.6 | Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate
Estimation, and Non-Parametric Phase Modelling | Andrew Parnell |
| BClustLonG | 0.1.3 | A Dirichlet Process Mixture Model for Clustering Longitudinal
Gene Expression Data | Jiehuan Sun |
| bcmaps | 2.2.0 | Map Layers and Spatial Utilities for British Columbia | Andy Teucher |
| bcmixed | 0.1.4 | Mixed Effect Model with the Box-Cox Transformation | Kazushi Maruo |
| bcpa | 1.3.2 | Behavioral Change Point Analysis of Animal Movement | Eliezer Gurarie |
| bcputility | 0.4.0 | Wrapper for SQL Server bcp Utility | Thomas Roh |
| BCRA | 2.1.2 | Breast Cancer Risk Assessment | Fanni Zhang |
| bcrm | 0.5.4 | Bayesian Continual Reassessment Method for Phase I
Dose-Escalation Trials | Graham Wheeler |
| bcROCsurface | 1.0-6 | Bias-Corrected Methods for Estimating the ROC Surface of
Continuous Diagnostic Tests | Duc-Khanh To |
| bcrypt | 1.1 | 'Blowfish' Password Hashing Algorithm | Jeroen Ooms |
| BCSub | 0.5 | A Bayesian Semiparametric Factor Analysis Model for Subtype
Identification (Clustering) | Jiehuan Sun |
| BCT | 1.2 | Bayesian Context Trees for Discrete Time Series | Valentinian Mihai Lungu |
| bcv | 1.0.2 | Cross-Validation for the SVD (Bi-Cross-Validation) | Michal Burdukiewicz |
| bda | 18.2.2 | Binned Data Analysis | Bin Wang |
| BDAlgo | 0.1.0 | Bloom Detecting Algorithm | Stephane Karasiewicz |
| bdc | 1.1.4 | Biodiversity Data Cleaning | Bruno Ribeiro |
| bdDwC | 0.1.15 | Darwinizer: Darwin Core (DwC) Field Names Standardization | Povilas Gibas |
| bde | 1.0.1.1 | Bounded Density Estimation | Guzman Santafe |
| BDEsize | 1.6 | Efficient Determination of Sample Size in Balanced Design of
Experiments | Jong Hee Chung |
| BDgraph | 2.72 | Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC | Reza Mohammadi |
| bdl | 1.0.5 | Interface and Tools for 'BDL' API | Krzysztof Kania |
| bdlp | 0.9-2 | Transparent and Reproducible Artificial Data Generation | Rainer Dangl |
| bdots | 1.2.5 | Bootstrapped Differences of Time Series | Collin Nolte |
| BDP2 | 0.1.3 | Bayesian Adaptive Designs for Phase II Trials with Binary
Endpoint | Manuel Wiesenfarth |
| bdpar | 3.1.0 | Big Data Preprocessing Architecture | Miguel Ferreiro-Díaz |
| bdpv | 1.3 | Inference and Design for Predictive Values in Diagnostic Tests | Frank Schaarschmidt |
| bdrc | 1.1.0 | Bayesian Discharge Rating Curves | Solvi Rognvaldsson |
| bdribs | 1.0.4 | Bayesian Detection of Potential Risk Using Inference on Blinded
Safety Data | Saurabh Mukhopadhyay |
| bdscale | 2.0.0 | Remove Weekends and Holidays from ggplot2 Axes | Dave Mills |
| bdsmatrix | 1.3-7 | Routines for Block Diagonal Symmetric Matrices | Terry Therneau |
| bdsvd | 0.1-0 | Block Structure Detection Using Singular Vectors | Jan O. Bauer |
| bdvis | 0.2.37 | Biodiversity Data Visualizations | Vijay Barve |
| BDWreg | 1.3.0 | Bayesian Inference for Discrete Weibull Regression | Hamed Haselimashhadi |
| BE | 0.2.4 | Bioequivalence Study Data Analysis | Kyun-Seop Bae |
| bea.R | 1.0.6 | Bureau of Economic Analysis API | Andrea Batch |
| BEACH | 1.3.1 | Biometric Exploratory Analysis Creation House | Danni Yu |
| beadplexr | 0.5.0 | Analysis of Multiplex Cytometric Bead Assays | Ulrik Stervbo |
| beakr | 0.4.3 | A Minimalist Web Framework for R | Jonathan Callahan |
| beanplot | 1.3.1 | Visualization via Beanplots (Like Boxplot/Stripchart/Violin
Plot) | Peter Kampstra |
| beans | 0.1.0 | Data on Dried Beans | Max Kuhn |
| beanz | 3.1 | Bayesian Analysis of Heterogeneous Treatment Effect | Chenguang Wang |
| bearishTrader | 1.0.2 | Trading Strategies for Bearish Outlook | MaheshP Kumar |
| beast | 1.1 | Bayesian Estimation of Change-Points in the Slope of
Multivariate Time-Series | Panagiotis Papastamoulis |
| beastier | 2.5 | Call 'BEAST2' | Richèl J.C. Bilderbeek |
| BeastJar | 1.10.6 | JAR Dependency for MCMC Using 'BEAST' | Marc A. Suchard |
| beautier | 2.6.12 | 'BEAUti' from R | Richèl J.C. Bilderbeek |
| BED | 1.5.0 | Biological Entity Dictionary (BED) | Patrice Godard |
| BEDASSLE | 1.6.1 | Quantifies Effects of Geo/Eco Distance on Genetic
Differentiation | Gideon Bradburd |
| BEDMatrix | 2.0.3 | Extract Genotypes from a PLINK .bed File | Alexander Grueneberg |
| bedr | 1.0.7 | Genomic Region Processing using Tools Such as 'BEDTools',
'BEDOPS' and 'Tabix' | Paul C. Boutros |
| BeeBDC | 1.1.1 | Occurrence Data Cleaning | James B. Dorey |
| BeeGUTS | 1.1.3 | General Unified Threshold Model of Survival for Bees using
Bayesian Inference | Benoit Goussen |
| beepr | 1.3 | Easily Play Notification Sounds on any Platform | Rasmus Bååth |
| beeswarm | 0.4.0 | The Bee Swarm Plot, an Alternative to Stripchart | Aron Eklund |
| beezdemand | 0.1.2 | Behavioral Economic Easy Demand | Brent Kaplan |
| beezdiscounting | 0.3.1 | Behavioral Economic Easy Discounting | Brent Kaplan |
| befproj | 0.1.1 | Makes a Local Population Projection | Peter Thuresson |
| behaviorchange | 0.5.5 | Tools for Behavior Change Researchers and Professionals | Gjalt-Jorn Peters |
| behavr | 0.3.2 | Canonical Data Structure for Behavioural Data | Quentin Geissmann |
| BEKKs | 1.4.4 | Multivariate Conditional Volatility Modelling and Forecasting | Markus J. Fülle |
| belex | 0.1.0 | Download Historical Data from the Belgrade Stock Exchange | Milos Vilotic |
| belg | 1.5.3 | Boltzmann Entropy of a Landscape Gradient | Jakub Nowosad |
| BElikelihood | 1.1 | Likelihood Method for Evaluating Bioequivalence | Liping Du |
| bellreg | 0.0.2 | Count Regression Models Based on the Bell Distribution | Fabio Demarqui |
| bench | 1.1.3 | High Precision Timing of R Expressions | Davis Vaughan |
| benchden | 1.0.8 | 28 Benchmark Densities from Berlinet/Devroye (1994) | Thoralf Mildenberger |
| Benchmarking | 0.32 | Benchmark and Frontier Analysis Using DEA and SFA | Lars Otto |
| benchmarkme | 1.0.8 | Crowd Sourced System Benchmarks | Colin Gillespie |
| benchmarkmeData | 1.0.4 | Data Set for the 'benchmarkme' Package | Colin Gillespie |
| benchr | 0.2.5 | High Precise Measurement of R Expressions Execution Time | Artem Klevtsov |
| BEND | 1.0 | Bayesian Estimation of Nonlinear Data (BEND) | Corissa T. Rohloff |
| bender | 0.1.1 | Bender Client | Valentin Thorey |
| benford | 1.0.1 | Benford's Analysis on Large Data Sets | Vitor Hugo Moreau |
| benford.analysis | 0.1.5 | Benford Analysis for Data Validation and Forensic Analytics | Carlos Cinelli |
| BenfordTests | 1.2.0 | Statistical Tests for Evaluating Conformity to Benford's Law | Dieter William Joenssen |
| BENMMI | 4.3-7 | Benthic Multi-Metric Index | Dennis Walvoort |
| bennu | 0.3.0 | Bayesian Estimation of Naloxone Kit Number Under-Reporting | Mike Irvine |
| bentcableAR | 0.3.1 | Bent-Cable Regression for Independent Data or Autoregressive
Time Series | Grace Chiu |
| benthos | 1.3-8 | Marine Benthic Ecosystem Analysis | Dennis Walvoort |
| BeQut | 0.1.0 | Bayesian Estimation for Quantile Regression Mixed Models | Antoine Barbieri |
| Bergm | 5.0.7 | Bayesian Exponential Random Graph Models | Alberto Caimo |
| Bernadette | 1.1.5 | Bayesian Inference and Model Selection for Stochastic Epidemics | Lampros Bouranis |
| berryFunctions | 1.22.5 | Function Collection Related to Plotting and Hydrology | Berry Boessenkool |
| BeSS | 2.0.4 | Best Subset Selection in Linear, Logistic and CoxPH Models | Canhong Wen |
| Bessel | 0.6-0 | Computations and Approximations for Bessel Functions | Martin Maechler |
| bestglm | 0.37.3 | Best Subset GLM and Regression Utilities | Yuanhao Lai |
| besthr | 0.3.2 | Generating Bootstrap Estimation Distributions of HR Data | Dan MacLean |
| Bestie | 0.1.5 | Bayesian Estimation of Intervention Effects | Jack Kuipers |
| bestNormalize | 1.9.1 | Normalizing Transformation Functions | Ryan Andrew Peterson |
| BESTree | 0.5.2 | Branch-Exclusive Splits Trees | Beaulac Cedric |
| bestridge | 1.0.7 | A Comprehensive R Package for Best Subset Selection | Liyuan Hu |
| bestSDP | 0.1.2 | Burden Estimate of Common Communicable Diseases in Settlements
of Displaced Populations | You Li |
| BET | 0.5.3 | Binary Expansion Testing | Wan Zhang |
| betaBayes | 1.0.1 | Bayesian Beta Regression | Haiming Zhou |
| BetaBit | 2.2 | Mini Games from Adventures of Beta and Bit | Przemyslaw Biecek |
| betacal | 0.1.0 | Beta Calibration | Telmo M Silva Filho |
| betaclust | 1.0.3 | A Family of Beta Mixture Models for Clustering Beta-Valued DNA
Methylation Data | Koyel Majumdar |
| betaDelta | 1.0.4 | Confidence Intervals for Standardized Regression Coefficients | Ivan Jacob Agaloos Pesigan |
| betafunctions | 1.9.0 | Functions for Working with Two- And Four-Parameter Beta
Probability Distributions and Psychometric Analysis of
Classifications | Haakon Eidem Haakstad |
| betaMC | 1.3.1 | Monte Carlo for Regression Effect Sizes | Ivan Jacob Agaloos Pesigan |
| betaNB | 1.0.3 | Bootstrap for Regression Effect Sizes | Ivan Jacob Agaloos Pesigan |
| betapart | 1.6 | Partitioning Beta Diversity into Turnover and Nestedness
Components | Andres Baselga |
| BetaPASS | 1.1-2 | Calculate Power and Sample Size with Beta Regression | Jinpu Li |
| betaper | 1.1-2 | Taxonomic Uncertainty on Multivariate Analyses of Ecological
Data | Luis Cayuela |
| betareg | 3.1-4 | Beta Regression | Achim Zeileis |
| betaSandwich | 1.0.6 | Robust Confidence Intervals for Standardized Regression
Coefficients | Ivan Jacob Agaloos Pesigan |
| betategarch | 3.3 | Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH
Models | Genaro Sucarrat |
| bethel | 0.2 | Bethel's algorithm. | Michele De Meo |
| BETS | 0.4.9 | Brazilian Economic Time Series | Talitha Speranza |
| bets.covid19 | 1.0.0 | The BETS Model for Early Epidemic Data | Qingyuan Zhao |
| BetterReg | 0.2.0 | Better Statistics for OLS and Binomial Logistic Regression | Chris Aberson |
| BeviMed | 5.8 | Bayesian Evaluation of Variant Involvement in Mendelian Disease | Daniel Greene |
| bexy | 0.1.2 | Visualize and Parse the Output of 'BeXY' | Madleina Caduff |
| BeyondBenford | 1.4 | Compare the Goodness of Fit of Benford's and Blondeau Da Silva's
Digit Distributions to a Given Dataset | Blondeau Da Silva Stephane |
| beyondWhittle | 1.2.1 | Bayesian Spectral Inference for Time Series | Renate Meyer |
| bezier | 1.1.2 | Toolkit for Bezier Curves and Splines | Aaron Olsen |
| bfast | 1.6.1 | Breaks for Additive Season and Trend | Dainius Masiliunas |
| BFF | 3.0.1 | Bayes Factor Functions | Rachael Shudde |
| bfp | 0.0-48 | Bayesian Fractional Polynomials | Daniel Sabanes Bove |
| BFpack | 1.2.3 | Flexible Bayes Factor Testing of Scientific Expectations | Joris Mulder |
| BFS | 0.5.8 | Get Data from the Swiss Federal Statistical Office | Felix Luginbuhl |
| bfsl | 0.2.0 | Best-Fit Straight Line | Patrick Sturm |
| bfsMaps | 1.99.3 | Plot Maps from Switzerland by Swiss Federal Statistical Office | Andri Signorell |
| bfw | 0.4.2 | Bayesian Framework for Computational Modeling | Øystein Olav Skaar |
| BGData | 2.4.1 | A Suite of Packages for Analysis of Big Genomic Data | Alexander Grueneberg |
| bgev | 0.1 | Bimodal GEV Distribution with Location Parameter | Thiago Sousa Developer |
| bgeva | 0.3-1 | Binary Generalized Extreme Value Additive Models | Giampiero Marra |
| BGFD | 0.1 | Bell-G and Complementary Bell-G Family of Distributions | Michail Tsagris |
| bggAnalytics | 0.2.1 | BoardGameGeek's Board Game Data Analysis Tools | Jakub Bujnowicz |
| BGGE | 0.6.5 | Bayesian Genomic Linear Models Applied to GE Genome Selection | Italo Granato |
| BGGM | 2.1.1 | Bayesian Gaussian Graphical Models | Philippe Rast |
| bggum | 1.0.2 | Bayesian Estimation of Generalized Graded Unfolding Model
Parameters | JBrandon Duck-Mayr |
| BGLR | 1.1.2 | Bayesian Generalized Linear Regression | Paulino Perez Rodriguez |
| bgmfiles | 0.0.6 | Example BGM Files for the Atlantis Ecosystem Model | Michael D. Sumner |
| BGmisc | 1.2.0 | An R Package for Extended Behavior Genetics Analysis | S. Mason Garrison |
| bgmm | 1.8.5 | Gaussian Mixture Modeling Algorithms and the Belief-Based
Mixture Modeling | Przemyslaw Biecek |
| bgms | 0.1.3 | Bayesian Analysis of Networks of Binary and/or Ordinal Variables | Maarten Marsman |
| BGPhazard | 2.1.1 | Markov Beta and Gamma Processes for Modeling Hazard Rates | Emilio Akira Morones Ishikawa |
| bgsmtr | 0.7 | Bayesian Group Sparse Multi-Task Regression | Yin Song |
| bgumbel | 0.0.3 | Bimodal Gumbel Distribution | Pedro C. Brom |
| BGVAR | 2.5.5 | Bayesian Global Vector Autoregressions | Maximilian Boeck |
| bgw | 0.1.3 | Bunch-Gay-Welsch Statistical Estimation | David S. Bunch |
| BH | 1.84.0-0 | Boost C++ Header Files | Dirk Eddelbuettel |
| BHAI | 0.99.2 | Estimate the Burden of Healthcare-Associated Infections | Benedikt Zacher |
| Bhat | 0.9-12 | General Likelihood Exploration | Rafael Meza |
| BHH2 | 2016.05.31 | Useful Functions for Box, Hunter and Hunter II | Kjetil B.Halvorsen |
| bhm | 1.18 | Biomarker Threshold Models | Bingshu E. Chen |
| bhmbasket | 0.9.5 | Bayesian Hierarchical Models for Basket Trials | Stephan Wojciekowski |
| BHMSMAfMRI | 2.1 | Bayesian Hierarchical Multi-Subject Multiscale Analysis of
Functional MRI (fMRI) Data | Nilotpal Sanyal |
| bhpm | 1.7 | Bayesian Hierarchical Poisson Models for Multiple Grouped
Outcomes with Clustering | Raymond Carragher |
| BHSBVAR | 3.1.1 | Structural Bayesian Vector Autoregression Models | Paul Richardson |
| BHTSpack | 0.6 | Bayesian Multi-Plate High-Throughput Screening of Compounds | Ivo D. Shterev |
| BI | 1.2.0 | Blinding Assessment Indexes for Randomized, Controlled, Clinical
Trials | Marc Schwartz |
| BiasCorrector | 0.2.2 | A GUI to Correct Measurement Bias in DNA Methylation Analyses | Lorenz A. Kapsner |
| BiasedUrn | 2.0.11 | Biased Urn Model Distributions | Agner Fog |
| bib2df | 1.1.1 | Parse a BibTeX File to a Data Frame | Philipp Ottolinger |
| BiBitR | 0.3.1 | R Wrapper for Java Implementation of BiBit | De Troyer Ewoud |
| biblio | 0.0.8 | Interacting with BibTeX Databases | Miguel Alvarez |
| bibliometrix | 4.1.4 | Comprehensive Science Mapping Analysis | Massimo Aria |
| bibliometrixData | 0.3.0 | Bibliometrix Example Datasets | Massimo Aria |
| biblionetwork | 0.1.0 | Create Different Types of Bibliometric Networks | Aurélien Goutsmedt |
| bibliorefer | 0.1.0 | Generator of Main Scientific References | Márcio Eustáquio |
| biblioverlap | 1.0.2 | Document-Level Matching Between Bibliographic Datasets | Gabriel Vieira |
| BibPlots | 0.0.8 | Plot Functions for Use in Bibliometrics | Robin Haunschild |
| bibs | 1.1.1 | Bayesian Inference for the Birnbaum-Saunders Distribution | Mahdi Teimouri |
| bibtex | 0.5.1 | Bibtex Parser | James Joseph Balamuta |
| BiCausality | 0.1.4 | Binary Causality Inference Framework | Chainarong Amornbunchornvej |
| biClassify | 1.3 | Binary Classification Using Extensions of Discriminant Analysis | Alexander F. Lapanowski |
| biclust | 2.0.3.1 | BiCluster Algorithms | Sebastian Kaiser |
| biclustermd | 0.2.3 | Biclustering with Missing Data | John Reisner |
| BICORN | 0.1.0 | Integrative Inference of De Novo Cis-Regulatory Modules | Xi Chen |
| BiDAG | 2.1.4 | Bayesian Inference for Directed Acyclic Graphs | Polina Suter |
| bidask | 2.0.2 | Efficient Estimation of Bid-Ask Spreads from Open, High, Low,
and Close Prices | Emanuele Guidotti |
| BiDimRegression | 2.0.1 | Calculates the Bidimensional Regression Between Two 2D
Configurations | Alexander Pastukhov |
| BIEN | 1.2.6 | Tools for Accessing the Botanical Information and Ecology
Network Database | Brian Maitner |
| BifactorIndicesCalculator | 0.2.2 | Bifactor Indices Calculator | David Dueber |
| bife | 0.7.2 | Binary Choice Models with Fixed Effects | Amrei Stammann |
| BIFIEsurvey | 3.5-19 | Tools for Survey Statistics in Educational Assessment | Alexander Robitzsch |
| bifurcatingr | 2.1.0 | Bifurcating Autoregressive Models | Tamer Elbayoumi |
| bigalgebra | 1.1.1 | 'BLAS' and 'LAPACK' Routines for Native R Matrices and
'big.matrix' Objects | Frederic Bertrand |
| biganalytics | 1.1.22 | Utilities for 'big.matrix' Objects from Package 'bigmemory' | Michael J. Kane |
| bigassertr | 0.1.6 | Assertion and Message Functions | Florian Privé |
| bigBits | 1.2 | Perform Boolean Operations on Large Numbers | Carl Witthoft |
| bigchess | 1.9.1 | Read, Write, Manipulate, Explore Chess PGN Files and R API to
UCI Chess Engines | Wojciech Rosa |
| bigD | 0.2.0 | Flexibly Format Dates and Times to a Given Locale | Richard Iannone |
| bigdatadist | 1.1 | Distances for Machine Learning and Statistics in the Context of
Big Data | Gabriel Martos |
| BIGDAWG | 3.0.3 | Case-Control Analysis of Multi-Allelic Loci | Steve Mack |
| bigdist | 0.1.4 | Store Distance Matrices on Disk | Komala Sheshachala Srikanth |
| bigDM | 0.5.3 | Scalable Bayesian Disease Mapping Models for High-Dimensional
Data | Aritz Adin |
| bigergm | 1.1.0 | Fit, Simulate, and Diagnose Hierarchical Exponential-Family
Models for Big Networks | Cornelius Fritz |
| bigGP | 0.1.8 | Distributed Gaussian Process Calculations | Christopher Paciorek |
| BIGL | 1.9.0 | Biochemically Intuitive Generalized Loewe Model | Kathy Mutambanengwe |
| biglasso | 1.5.2 | Extending Lasso Model Fitting to Big Data | Patrick Breheny |
| bigleaf | 0.8.2 | Physical and Physiological Ecosystem Properties from Eddy
Covariance Data | Juergen Knauer |
| biglm | 0.9-2.1 | Bounded Memory Linear and Generalized Linear Models | Thomas Lumley |
| biglmm | 0.9-2 | Bounded Memory Linear and Generalized Linear Models | Mark Purver |
| bigMap | 2.3.1 | Big Data Mapping | Joan Garriga |
| bigmatch | 0.6.4 | Making Optimal Matching Size-Scalable Using Optimal Calipers | Ruoqi Yu |
| bigmds | 3.0.0 | Multidimensional Scaling for Big Data | Cristian Pachón García |
| bigmemory | 4.6.4 | Manage Massive Matrices with Shared Memory and Memory-Mapped
Files | Michael J. Kane |
| bigmemory.sri | 0.1.8 | A Shared Resource Interface for Bigmemory Project Packages | Michael J. Kane |
| bignum | 0.3.2 | Arbitrary-Precision Integer and Floating-Point Mathematics | David Hall |
| bigparallelr | 0.3.2 | Easy Parallel Tools | Florian Privé |
| bigQF | 1.6 | Quadratic Forms in Large Matrices | Thomas Lumley |
| BigQuic | 1.1-13 | Big Quadratic Inverse Covariance Estimation | Khalid B. Kunji |
| bigreadr | 0.2.5 | Read Large Text Files | Florian Privé |
| bigReg | 0.1.5 | Generalized Linear Models (GLM) for Large Data Sets | Chibisi Chima-Okereke |
| bigrquery | 1.5.1 | An Interface to Google's 'BigQuery' 'API' | Hadley Wickham |
| bigrquerystorage | 1.1.0 | An Interface to Google's 'BigQuery Storage' API | Bruno Tremblay |
| bigsimr | 0.12.0 | Fast Generation of High-Dimensional Random Vectors | Alex Knudson |
| bigsnpr | 1.12.2 | Analysis of Massive SNP Arrays | Florian Privé |
| bigsparser | 0.6.1 | Sparse Matrix Format with Data on Disk | Florian Privé |
| bigsplines | 1.1-1 | Smoothing Splines for Large Samples | Nathaniel E. Helwig |
| bigstatsr | 1.5.12 | Statistical Tools for Filebacked Big Matrices | Florian Privé |
| bigstep | 1.1.1 | Stepwise Selection for Large Data Sets | Piotr Szulc |
| bigSurvSGD | 0.0.1 | Big Survival Analysis Using Stochastic Gradient Descent | Aliasghar Tarkhan |
| bigtabulate | 1.1.9 | Table, Apply, and Split Functionality for Matrix and
'big.matrix' Objects | Michael J. Kane |
| bigtcr | 1.1 | Nonparametric Analysis of Bivariate Gap Time with Competing
Risks | Chenguang Wang |
| bigtime | 0.2.3 | Sparse Estimation of Large Time Series Models | Ines Wilms |
| bigutilsr | 0.3.4 | Utility Functions for Large-scale Data | Florian Privé |
| BigVAR | 1.1.2 | Dimension Reduction Methods for Multivariate Time Series | Will Nicholson |
| bikeshare14 | 0.1.4 | Bay Area Bike Share Trips in 2014 | Arunkumar Srinivasan |
| bikm1 | 1.1.0 | Co-Clustering Adjusted Rand Index and Bikm1 Procedure for
Contingency and Binary Data-Sets | Valerie Robert |
| bild | 1.2-1 | A Package for BInary Longitudinal Data | M. Helena Goncalves |
| billboard | 0.1.0 | Contains Data of Billboard Hot 100 Songs | Mikkel Freltoft Krogsholm |
| billboarder | 0.4.1 | Create Interactive Chart with the JavaScript 'Billboard' Library | Victor Perrier |
| bimets | 3.0.2 | Time Series and Econometric Modeling | Andrea Luciani |
| BimodalIndex | 1.1.9 | The Bimodality Index | Kevin R. Coombes |
| binancer | 1.2.0 | API Client to 'Binance' | Gergely Daróczi |
| Binarize | 1.3.1 | Binarization of One-Dimensional Data | Hans Kestler |
| BinarybalancedCut | 0.2 | Threshold Cut Point of Probability for a Binary Classifier Model | Navinkumar Nedunchezhian |
| BinaryDosage | 1.0.0 | Creates, Merges, and Reads Binary Dosage Files | John Morrison |
| BinaryEMVS | 0.1 | Variable Selection for Binary Data Using the EM Algorithm | John Snyder |
| binaryGP | 0.2 | Fit and Predict a Gaussian Process Model with (Time-Series)
Binary Response | Chih-Li Sung |
| binaryMM | 0.1.1 | Flexible Marginalized Models for Binary Correlated Outcomes | Chiara Di Gravio |
| binb | 0.0.6 | 'binb' is not 'Beamer' | Dirk Eddelbuettel |
| BINCOR | 0.2.0 | Estimate the Correlation Between Two Irregular Time Series | Josué M. Polanco-Martínez |
| binda | 1.0.4 | Multi-Class Discriminant Analysis using Binary Predictors | Korbinian Strimmer |
| bindata | 0.9-20 | Generation of Artificial Binary Data | Friedrich Leisch |
| bindr | 0.1.1 | Parametrized Active Bindings | Kirill Müller |
| bindrcpp | 0.2.3 | An 'Rcpp' Interface to Active Bindings | Kirill Müller |
| binequality | 1.0.4 | Methods for Analyzing Binned Income Data | Samuel V. Scarpino |
| binford | 0.1.0 | Binford's Hunter-Gatherer Data | Ben Marwick |
| binfunest | 0.1.0 | Estimates Parameters of Functions Driving Binomial Random
Variables | Philip Shea |
| bingadsR | 0.1.0 | Get Bing Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| bingat | 1.3 | Binary Graph Analysis Tools | Berkley Shands |
| binGroup | 2.2-1 | Evaluation and Experimental Design for Binomial Group Testing | Frank Schaarschmidt |
| binGroup2 | 1.3.1 | Identification and Estimation using Group Testing | Brianna Hitt |
| BinGSD | 0.0.1 | Calculation for Single Arm Group Sequential Test with Binary
Endpoint | Lei Wang |
| binhf | 1.0-3 | Haar-Fisz Functions for Binomial Data | Matt Nunes |
| binman | 0.1.3 | A Binary Download Manager | Ju Yeong Kim |
| BinMat | 0.1.5 | Processes Binary Data Obtained from Fragment Analysis (Such as
AFLPs, ISSRs, and RFLPs) | Clarke van Steenderen |
| binMto | 0.0-7 | Many-to-One Comparisons of Proportions | Frank Schaarschmidt |
| BinNonNor | 1.5.3 | Data Generation with Binary and Continuous Non-Normal Components | Ran Gao |
| BinNor | 2.3.3 | Simultaneous Generation of Multivariate Binary and Normal
Variates | Ran Gao |
| binom | 1.1-1.1 | Binomial Confidence Intervals for Several Parameterizations | Sundar Dorai-Raj |
| binomCI | 1.1 | Confidence Intervals for a Binomial Proportion | Michail Tsagris |
| binomialRF | 0.1.0 | Binomial Random Forest Feature Selection | Samir Rachid Zaim |
| binomialtrend | 0.0.0.3 | Calculates the Statistical Significance of a Trend in a Set of
Measurements | Matthew Cserhati |
| BinOrdNonNor | 1.5.2 | Concurrent Generation of Binary, Ordinal and Continuous Data | Ran Gao |
| binovisualfields | 0.1.1 | Depth-Dependent Binocular Visual Fields Simulation | Ping Liu |
| binpackr | 0.1.1 | Fast 1d Bin Packing | Lukas Schneiderbauer |
| binr | 1.1.1 | Cut Numeric Values into Evenly Distributed Groups | Sergei Izrailev |
| BinSegBstrap | 1.0-1 | Piecewise Smooth Regression by Bootstrapped Binary Segmentation | Pein Florian |
| binsegRcpp | 2023.8.31 | Efficient Implementation of Binary Segmentation | Toby Dylan Hocking |
| binseqtest | 1.0.4 | Exact Binary Sequential Designs and Analysis | Michael P. Fay |
| binsmooth | 0.2.2 | Generate PDFs and CDFs from Binned Data | Dave Hunter |
| binspp | 0.1.26 | Bayesian Inference for Neyman-Scott Point Processes | Remes Radim |
| binsreg | 1.0 | Binscatter Estimation and Inference | Yingjie Feng |
| binst | 0.2.1 | Data Preprocessing, Binning for Classification and Regression | Chapman Siu |
| BINtools | 0.2.0 | Bayesian BIN (Bias, Information, Noise) Model of Forecasting | Ville Satopää |
| bio.infer | 1.3-6 | Predict Environmental Conditions from Biological Observations | Lester L. Yuan |
| bio3d | 2.4-4 | Biological Structure Analysis | Barry Grant |
| bioacoustics | 0.2.8 | Analyse Audio Recordings and Automatically Extract Animal
Vocalizations | Jean Marchal |
| biobricks | 0.2.2 | Access Data Dependencies Installed Through 'Biobricks.ai' | Thomas Luechtefeld |
| bioC.logs | 1.2.1 | BioConductor Package Downloads Stats | Marcelo Ponce |
| BioCircos | 0.3.4 | Interactive Circular Visualization of Genomic Data using
'htmlwidgets' and 'BioCircos.js' | Loan Vulliard |
| bioclim | 0.4.0 | Bioclimatic Analysis and Classification | Roberto Serrano-Notivoli |
| BiocManager | 1.30.22 | Access the Bioconductor Project Package Repository | Marcel Ramos |
| Biocomb | 0.4 | Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis | Natalia Novoselova |
| biocompute | 1.1.1 | Create and Manipulate BioCompute Objects | Soner Koc |
| Biodem | 0.5 | Biodemography Functions | Federico Calboli |
| BiodiversityR | 2.16-1 | Package for Community Ecology and Suitability Analysis | Roeland Kindt |
| biodosetools | 3.6.1 | An R Shiny Application for Biological Dosimetry | Alfredo Hernández |
| BIOdry | 0.9 | Multilevel Modeling of Dendroclimatical Fluctuations | Wilson Lara |
| biogas | 1.23.2 | Process Biogas Data and Predict Biogas Production | Sasha D. Hafner |
| biogeom | 1.4.3 | Biological Geometries | Peijian Shi |
| biogram | 1.6.3 | N-Gram Analysis of Biological Sequences | Michal Burdukiewicz |
| biogrowth | 1.0.3 | Modelling of Population Growth | Alberto Garre |
| Bioi | 0.2.10 | Biological Image Analysis | Zachary Colburn |
| bioimagetools | 1.1.8 | Tools for Microscopy Imaging | Volker Schmid |
| bioinactivation | 1.2.3 | Mathematical Modelling of (Dynamic) Microbial Inactivation | Alberto Garre |
| BioInsight | 0.3.1 | Filter and Plot RNA Biotypes | Luiz Antonio de Jesus Rocha |
| biolink | 0.1.8 | Create Hyperlinks to Biological Databases and Resources | Aaron Wolen |
| BioM2 | 1.0.5 | Biologically Explainable Machine Learning Framework | Shunjie Zhang |
| BioMark | 0.4.5 | Find Biomarkers in Two-Class Discrimination Problems | Ron Wehrens |
| biomartr | 1.0.7 | Genomic Data Retrieval | Hajk-Georg Drost |
| BIOMASS | 2.1.11 | Estimating Aboveground Biomass and Its Uncertainty in Tropical
Forests | Dominique Lamonica |
| biometryassist | 1.1.3 | Functions to Assist Design and Analysis of Agronomic Experiments | Sam Rogers |
| biomod2 | 4.2-4 | Ensemble Platform for Species Distribution Modeling | Maya Gueguen |
| bionetdata | 1.1 | Biological and Chemical Data Networks | Giorgio Valentini |
| BioPET | 0.2.2 | Biomarker Prognostic Enrichment Tool | Jeremy Roth |
| BioPETsurv | 0.1.0 | Biomarker Prognostic Enrichment Tool for Time-to-Event Trial | Si Cheng |
| biopixR | 0.2.4 | Extracting Insights from Biological Images | Tim Brauckhoff |
| bioPN | 1.2.0 | Simulation of deterministic and stochastic biochemical reaction
networks using Petri Nets | Roberto Bertolusso |
| BioProbability | 1.0 | Probability in Biostatistics | Paula Saavedra-Nieves |
| bioRad | 0.7.3 | Biological Analysis and Visualization of Weather Radar Data | Adriaan M. Dokter |
| bioregion | 1.1.0 | Comparison of Bioregionalisation Methods | Maxime Lenormand |
| BioRssay | 1.1.0 | Analyze Bioassays and Probit Graphs | Piyal Karunarathne |
| Bios2cor | 2.2.1 | From Biological Sequences and Simulations to Correlation
Analysis | Marie Chabbert |
| bios2mds | 1.2.3 | From Biological Sequences to Multidimensional Scaling | Marie Chabbert |
| biosampleR | 1.0.4 | Biodiversity Index Calculation and Bootstrap Confidence Interval
Estimation | Craig Eric Simpkins |
| biosensors.usc | 1.0 | Distributional Data Analysis Techniques for Biosensor Data | Juan C. Vidal |
| bioseq | 0.1.4 | A Toolbox for Manipulating Biological Sequences | Francois Keck |
| biosignalEMG | 2.1.0 | Tools for Electromyogram Signals (EMG) Analysis | Antonio Guerrero |
| bioSNR | 1.0 | Bioacoustic Basic Operations with Decibels and the Passive Sonar
Equation | Matthew Duggan |
| biospear | 1.0.2 | Biomarker Selection in Penalized Regression Models | Stefan Michiels |
| biostat3 | 0.1.9 | Utility Functions, Datasets and Extended Examples for Survival
Analysis | Mark Clements |
| Biostatistics | 1.0.4 | Statistics Tutorials for Biologists | Rob Knell |
| BioStatR | 4.0.1 | Initiation à La Statistique Avec R | Frederic Bertrand |
| BiostatsUHNplus | 0.0.9 | Nested Data Summary and Adverse Events | Tyler Pittman |
| biotic | 0.1.2 | Calculation of Freshwater Biotic Indices | Dr Rob Briers |
| BioTIMEr | 0.2.2 | Tools to Use and Explore the 'BioTIME' Database | Alban Sagouis |
| biotools | 4.2 | Tools for Biometry and Applied Statistics in Agricultural
Science | Anderson Rodrigo da Silva |
| BioVenn | 1.1.3 | Create Area-Proportional Venn Diagrams from Biological Lists | Tim Hulsen |
| bipartite | 2.19 | Visualising Bipartite Networks and Calculating Some (Ecological)
Indices | Carsten F. Dormann |
| bipartiteD3 | 0.3.0 | Interactive Bipartite Graphs | Chris Terry |
| BipartiteModularityMaximization | 1.23.120.1 | Partition Bipartite Network into Non-Overlapping Biclusters by
Optimizing Bipartite Modularity | Weibin Zhang |
| bipd | 0.3 | Bayesian Individual Patient Data Meta-Analysis using 'JAGS' | Michael Seo |
| bipl5 | 1.0.2 | Construct Reactive Calibrated Axes Biplots | Ruan Buys |
| biplotbootGUI | 1.3 | Bootstrap on Classical Biplots and Clustering Disjoint Biplot | Ana Belen Nieto Librero |
| biplotEZ | 1.2.0 | EZ-to-Use Biplots | Sugnet Lubbe |
| BiplotGUI | 0.0-7 | Interactive Biplots in R | Niel le Roux |
| birankr | 1.0.1 | Ranking Nodes in Bipartite and Weighted Networks | Brian Aronson |
| birdring | 1.6 | Methods to Analyse Ring Re-Encounter Data | Fraenzi Korner-Nievergelt |
| birdscanR | 0.2.0 | Migration Traffic Rate Calculation Package for 'Birdscan MR1'
Radars | Birgen Haest |
| birk | 2.1.2 | MA Birk's Functions | Matthew A. Birk |
| birtr | 1.0.0 | The R Package for "The Basics of Item Response Theory Using R" | Seock-Ho Kim |
| biscale | 1.0.0 | Tools and Palettes for Bivariate Thematic Mapping | Christopher Prener |
| BISdata | 0.2-2 | Download Data from the Bank for International Settlements (BIS) | Enrico Schumann |
| bisectr | 0.1.0 | Tools to find bad commits with git bisect | Winston Chang |
| BiSEp | 2.2 | Toolkit to Identify Candidate Synthetic Lethality | Mark Wappett |
| bispdep | 1.0-0 | Statistical Tools for Bivariate Spatial Dependence Analysis | Carlos Melo |
| bisque | 1.0.2 | Approximate Bayesian Inference via Sparse Grid Quadrature
Evaluation (BISQuE) for Hierarchical Models | Joshua Hewitt |
| BisqueRNA | 1.0.5 | Decomposition of Bulk Expression with Single-Cell Sequencing | Brandon Jew |
| BisRNA | 0.2.2 | Analysis of RNA Cytosine-5 Methylation | Carine Legrand |
| bistablehistory | 1.1.2 | Cumulative History Analysis for Bistable Perception Time Series | Alexander Pastukhov |
| bit | 4.0.5 | Classes and Methods for Fast Memory-Efficient Boolean Selections | Jens Oehlschlägel |
| bit64 | 4.0.5 | A S3 Class for Vectors of 64bit Integers | Jens Oehlschlägel |
| bite | 0.3 | Bayesian Integrative Models of Trait Evolution | Theo Gaboriau |
| bitmexr | 0.3.3 | R Client for BitMEX | Harry Fisher |
| bitops | 1.0-7 | Bitwise Operations | Martin Maechler |
| BiTrinA | 1.3.1 | Binarization and Trinarization of One-Dimensional Data | Hans Kestler |
| bittermelon | 1.1.2 | Monochrome Bitmap Font Tools | Trevor L Davis |
| Bivariate.Pareto | 1.0.3 | Bivariate Pareto Models | Jia-Han Shih |
| bivariatemaps | 1.3 | Creates Bivariate Maps | Jose Hidasi-Neto |
| BivGeo | 2.0.1 | Basu-Dhar Bivariate Geometric Distribution | Ricardo Puziol de Oliveira |
| bivgeom | 1.0 | Roy's Bivariate Geometric Distribution | Alessandro Barbiero |
| bivpois | 1.0 | Bivariate Poisson Distribution | Michail Tsagris |
| BivRec | 1.2.1 | Bivariate Alternating Recurrent Event Data Analysis | Sandra Castro-Pearson |
| BivRegBLS | 1.1.1 | Tolerance Interval and EIV Regression - Method Comparison
Studies | Bernard G Francq |
| bivrp | 1.2-2 | Bivariate Residual Plots with Simulation Polygons | Rafael de Andrade Moral |
| BivUnifBin | 1.3.3 | Generation of Bivariate Uniform Data and Its Relation to
Bivariate Binary Data | Ran Gao |
| biwavelet | 0.20.21 | Conduct Univariate and Bivariate Wavelet Analyses | Tarik C. Gouhier |
| biwt | 1.0.1 | Compute the Biweight Mean Vector and Covariance & Correlation
Matrice | Jo Hardin |
| bizdays | 1.0.16 | Business Days Calculations and Utilities | Wilson Freitas |
| bizicount | 1.3.2 | Bivariate Zero-Inflated Count Models Using Copulas | John Niehaus |
| bkmr | 0.2.2 | Bayesian Kernel Machine Regression | Jennifer F. Bobb |
| bkmrhat | 1.1.3 | Parallel Chain Tools for Bayesian Kernel Machine Regression | Alexander Keil |
| BKTR | 0.1.1 | Bayesian Kernelized Tensor Regression | Julien Lanthier |
| blackbox | 1.1.46 | Black Box Optimization and Exploration of Parameter Space | François Rousset |
| BlackCarbon | 0.1.0 | Processing Raw Black Carbon Concentration | Sanjeev Bista |
| blackmarbler | 0.1.2 | Black Marble Data and Statistics | Robert Marty |
| blaise | 1.3.11 | Read and Write FWF Files in the 'Blaise' Format | Sjoerd Ophof |
| BlakerCI | 1.0-6 | Blaker's Binomial and Poisson Confidence Limits | Jan Klaschka |
| BlandAltmanLeh | 0.3.1 | Plots (Slightly Extended) Bland-Altman Plots | Bernhard Lehnert |
| blandr | 0.5.1 | Bland-Altman Method Comparison | Deepankar Datta |
| blapsr | 0.6.1 | Bayesian Inference with Laplace Approximations and P-Splines | Oswaldo Gressani |
| blaster | 1.0.7 | Native R Implementation of an Efficient BLAST-Like Algorithm | Manu Tamminen |
| blastula | 0.3.5 | Easily Send HTML Email Messages | Richard Iannone |
| blatent | 0.1.2 | Bayesian Latent Variable Models | Jonathan Templin |
| blatr | 1.0.1 | Send Emails Using 'Blat' for Windows | Stefan Milton Bache |
| Blaunet | 2.2.1 | Calculate and Analyze Blau Statuses for Measuring Social
Distance | Cheng Wang |
| blavaan | 0.5-3 | Bayesian Latent Variable Analysis | Edgar Merkle |
| BLCOP | 0.3.3 | Black-Litterman and Copula Opinion Pooling Frameworks | Joe Russell |
| blender | 0.1.2 | Analyze biotic homogenization of landscapes | David J. Harris |
| Blendstat | 1.0.4 | Joint Analysis of Experiments with Mixtures and Random Effects | Paulo Cesar Ossani |
| blindrecalc | 1.0.1 | Blinded Sample Size Recalculation | Lukas Baumann |
| blindreview | 2.0.0 | Enables Blind Review of Database | William Fairweather |
| blink | 1.1.0 | Record Linkage for Empirically Motivated Priors | Rebecca Steorts |
| bliss | 1.0.4 | Bayesian Functional Linear Regression with Sparse Step Functions | Paul-Marie Grollemund |
| blm | 2022.0.0.1 | Binomial Linear Regression | S.Kovalchik |
| blme | 1.0-5 | Bayesian Linear Mixed-Effects Models | Vincent Dorie |
| blmeco | 1.4 | Data Files and Functions Accompanying the Book "Bayesian Data
Analysis in Ecology using R, BUGS and Stan" | Fraenzi Korner-Nievergelt |
| BLModel | 1.0.2 | Black-Litterman Posterior Distribution | Andrzej Palczewski |
| blob | 1.2.4 | A Simple S3 Class for Representing Vectors of Binary Data
('BLOBS') | Kirill Müller |
| blockcluster | 4.5.5 | Co-Clustering Package for Binary, Categorical, Contingency and
Continuous Data-Sets | Serge Iovleff |
| BlockCov | 0.1.1 | Estimation of Large Block Covariance Matrices | Marie Perrot-Dockès |
| blockCV | 3.1-3 | Spatial and Environmental Blocking for K-Fold and LOO
Cross-Validation | Roozbeh Valavi |
| blockForest | 0.2.6 | Block Forests: Random Forests for Blocks of Clinical and Omics
Covariate Data | Marvin N. Wright |
| blocklength | 0.1.5 | Select an Optimal Block-Length to Bootstrap Dependent Data
(Block Bootstrap) | Alec Stashevsky |
| blockmatrix | 1.0 | blockmatrix: Tools to solve algebraic systems with partitioned
matrices | Emanuele Cordano |
| BlockMissingData | 0.1.0 | Integrating Multi-Source Block-Wise Missing Data in Model
Selection | Fei Xue |
| blockmodeling | 1.1.5 | Generalized and Classical Blockmodeling of Valued Networks | Aleš Žiberna |
| BlockmodelingGUI | 1.8.4 | GUI for the Generalised Blockmodeling of Valued Networks | Fabio Ashtar Telarico |
| blockmodels | 1.1.5 | Latent and Stochastic Block Model Estimation by a 'V-EM'
Algorithm | Jean-Benoist Leger |
| blockrand | 1.5 | Randomization for Block Random Clinical Trials | Greg Snow <538280 at gmail.com> |
| blocksdesign | 4.9 | Nested and Crossed Block Designs for Factorial and Unstructured
Treatment Sets | Rodney Edmondson |
| blockTools | 0.6.4 | Block, Assign, and Diagnose Potential Interference in Randomized
Experiments | Ryan T. Moore |
| blocs | 0.1.1 | Estimate and Visualize Voting Blocs' Partisan Contributions | Cole Tanigawa-Lau |
| blogdown | 1.19 | Create Blogs and Websites with R Markdown | Yihui Xie |
| BLOQ | 0.1-1 | Impute and Analyze Data with BLOQ Observations | Vahid Nassiri |
| blorr | 0.3.0 | Tools for Developing Binary Logistic Regression Models | Aravind Hebbali |
| BLPestimatoR | 0.3.4 | Performs a BLP Demand Estimation | Daniel Brunner |
| BLR | 1.6 | Bayesian Linear Regression | Paulino Perez Rodriguez |
| blrm | 1.0-2 | Dose Escalation Design in Phase I Oncology Trial Using Bayesian
Logistic Regression Modeling | Furong Sun |
| BLRPM | 1.0 | Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse
Model | Christoph Ritschel |
| BLRShiny | 0.1.0 | Interactive Document for Working with Binary Logistic Regression
Analysis | Kartikeya Bolar |
| BLRShiny2 | 0.1.0 | Interactive Document for Working with Binary Logistic Regression
Analysis | Kartikeya Bolar |
| blsBandit | 0.1 | Data Viewer for Bureau of Labor Statistics Data | Jeremy Fitzpatrick |
| blscrapeR | 4.0.1 | An API Wrapper for the United States Bureau of Labor Statistics | Kris Eberwein |
| BLSM | 0.1.0 | Bayesian Latent Space Model | Alberto Donizetti |
| blsR | 0.5.0 | Make Requests from the Bureau of Labor Statistics API | Guillermo Roditi Dominguez |
| bltm | 0.1.0 | Bayesian Latent Threshold Modeling | Julio Trecenti |
| bluebike | 0.0.3 | Blue Bike Comprehensive Data | Ziyue Yang |
| BlythStillCasellaCI | 1.0.0 | Blyth-Still-Casella Exact Binomial Confidence Intervals | Ron Yu |
| BMA | 3.18.17 | Bayesian Model Averaging | Hana Sevcikova |
| bmabasket | 0.1.2 | Bayesian Model Averaging for Basket Trials | Matt Psioda |
| BMAmevt | 1.0.5 | Multivariate Extremes: Bayesian Estimation of the Spectral
Measure | Leo Belzile |
| bmass | 1.0.3 | Bayesian Multivariate Analysis of Summary Statistics | Michael Turchin |
| bmem | 2.1 | Mediation Analysis with Missing Data Using Bootstrap | Zhiyong Zhang |
| bmemLavaan | 0.5 | Mediation Analysis with Missing Data and Non-Normal Data | Zhiyong Zhang |
| bmet | 0.1.0 | Bayesian Multigroup Equivalence Testing | Tony Pourmohamad |
| bmgarch | 2.0.0 | Bayesian Multivariate GARCH Models | Philippe Rast |
| bmggum | 0.1.0 | Bayesian Multidimensional Generalized Graded Unfolding Model | Naidan Tu |
| BMisc | 1.4.6 | Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results | Brantly Callaway |
| bmixture | 1.7 | Bayesian Estimation for Finite Mixture of Distributions | Reza Mohammadi |
| bmlm | 1.3.15 | Bayesian Multilevel Mediation | Matti Vuorre |
| bmp | 0.3 | Read Windows Bitmap (BMP) Images | Gregory Jefferis |
| BMRBr | 0.2.0 | 'BMRB' File Downloader | Xi Chen |
| BMRMM | 1.0.0 | An Implementation of the Bayesian Markov (Renewal) Mixed Models | Yutong Wu |
| BMS | 0.3.5 | Bayesian Model Averaging Library | Stefan Zeugner |
| bmscstan | 1.2.1.0 | Bayesian Multilevel Single Case Models using 'Stan' | Michele Scandola |
| bmstdr | 0.7.9 | Bayesian Modeling of Spatio-Temporal Data with R | Sujit K. Sahu |
| BMT | 0.1.0.3 | The BMT Distribution | Camilo Jose Torres-Jimenez |
| BMTAR | 0.1.1 | Bayesian Approach for MTAR Models with Missing Data | Andrey Duvan Rincon Torres |
| bnclassify | 0.4.8 | Learning Discrete Bayesian Network Classifiers from Data | Mihaljevic Bojan |
| bndesr | 1.0.3 | Access Data from the Brazilian Development Bank (BNDES) | Igor Laltuf |
| bndovb | 1.1 | Bounding Omitted Variable Bias Using Auxiliary Data | Yujung Hwang |
| bnlearn | 4.9.3 | Bayesian Network Structure Learning, Parameter Learning and
Inference | Marco Scutari |
| bnma | 1.6.0 | Bayesian Network Meta-Analysis using 'JAGS' | Michael Seo |
| bnmonitor | 0.1.4 | An Implementation of Sensitivity Analysis in Bayesian Networks | Manuele Leonelli |
| bnnSurvival | 0.1.5 | Bagged k-Nearest Neighbors Survival Prediction | Marvin N. Wright |
| bnpa | 0.3.0 | Bayesian Networks & Path Analysis | Elias Carvalho |
| BNPdensity | 2023.3.8 | Ferguson-Klass Type Algorithm for Posterior Normalized Random
Measures | Guillaume Kon Kam King |
| BNPmix | 1.0.2 | Bayesian Nonparametric Mixture Models | Riccardo Corradin |
| bnpsd | 1.3.13 | Simulate Genotypes from the BN-PSD Admixture Model | Alejandro Ochoa |
| BNPTSclust | 2.0 | A Bayesian Nonparametric Algorithm for Time Series Clustering | David Alejandro Martell Juarez |
| BNrich | 0.1.1 | Pathway Enrichment Analysis Based on Bayesian Network | Samaneh Maleknia |
| BNSL | 0.1.4 | Bayesian Network Structure Learning | Joe Suzuki |
| BNSP | 2.2.3 | Bayesian Non- And Semi-Parametric Model Fitting | Georgios Papageorgiou |
| bnstruct | 1.0.15 | Bayesian Network Structure Learning from Data with Missing
Values | Alberto Franzin |
| bnviewer | 0.1.6 | Bayesian Networks Interactive Visualization and Explainable
Artificial Intelligence | Robson Fernandes |
| boa | 1.1.8-2 | Bayesian Output Analysis Program (BOA) for MCMC | Brian J. Smith |
| BoardGames | 1.0.0 | Board Games and Tools for Building Board Games | Derek Qiu |
| bodenmiller | 0.1.1 | Profiling of Peripheral Blood Mononuclear Cells using CyTOF | Yann Abraham |
| Bodi | 0.1.0 | Boosting Diversity in Regression Ensembles | Yannig Goude |
| bodsr | 0.1.0 | Call the Bus Open Data Service ('BODS') API Through R | Francesca Bryden |
| bodycomp | 1.0.0 | Percent Body Fat Values Using Anthropometric Prediction
Equations | Gleidson Mendes Rebouças |
| boilerpipeR | 1.3.2 | Interface to the Boilerpipe Java Library | Mario Annau |
| BOIN | 2.7.2 | Bayesian Optimal INterval (BOIN) Design for Single-Agent and
Drug- Combination Phase I Clinical Trials | Ying Yuan |
| boinet | 1.0.0 | Conduct Simulation Study of Bayesian Optimal Interval Design
with BOIN-ET Family | Yusuke Yamaguchi |
| boiwsa | 1.0.0 | Seasonal Adjustment of Weekly Data | Tim Ginker |
| BOJ | 0.3 | Interface to Bank of Japan Statistics | Stefan Angrick |
| bolasso | 0.2.0 | Model Consistent Lasso Estimation Through the Bootstrap | Daniel Molitor |
| bold | 1.3.0 | Interface to Bold Systems API | Salix Dubois |
| Bolstad | 0.2-41 | Functions for Elementary Bayesian Inference | James Curran |
| Bolstad2 | 1.0-29 | Bolstad Functions | James Curran |
| BoltzMM | 0.1.4 | Boltzmann Machines with MM Algorithms | Andrew Thomas Jones |
| bondAnalyst | 1.0.1 | Methods for Fixed-Income Valuation, Risk and Return | MaheshP Kumar |
| BondValuation | 0.1.1 | Fixed Coupon Bond Valuation Allowing for Odd Coupon Periods and
Various Day Count Conventions | Djatschenko Wadim |
| BoneProfileR | 2.4 | Tools to Study Bone Compactness | Marc Girondot |
| BonEV | 1.0 | An Improved Multiple Testing Procedure for Controlling False
Discovery Rates | Dongmei Li |
| bonn | 1.0.2 | Access INKAR Database | Moritz Marbach |
| bonsai | 0.2.1 | Model Wrappers for Tree-Based Models | Simon Couch |
| boodist | 1.0.0 | Some Distributions from the 'Boost' Library and More | Stéphane Laurent |
| bookdown | 0.38 | Authoring Books and Technical Documents with R Markdown | Yihui Xie |
| BoolFilter | 1.0.0 | Optimal Estimation of Partially Observed Boolean Dynamical
Systems | Levi McClenny |
| BoolNet | 2.1.9 | Construction, Simulation and Analysis of Boolean Networks | Hans A. Kestler |
| Boom | 0.9.15 | Bayesian Object Oriented Modeling | Steven L. Scott |
| BoomSpikeSlab | 1.2.6 | MCMC for Spike and Slab Regression | Steven L. Scott |
| boostingDEA | 0.1.0 | A Boosting Approach to Data Envelopment Analysis | Maria D. Guillen |
| BoostMLR | 1.0.3 | Boosting for Multivariate Longitudinal Responses | Amol Pande |
| boostmtree | 1.5.1 | Boosted Multivariate Trees for Longitudinal Data | Udaya B. Kogalur |
| boostrq | 1.0.0 | Boosting Regression Quantiles | Stefan Linner |
| boot | 1.3-30 | Bootstrap Functions (Originally by Angelo Canty for S) | Alessandra R. Brazzale |
| boot.heterogeneity | 1.1.5 | A Bootstrap-Based Heterogeneity Test for Meta-Analysis | Ge Jiang |
| boot.pval | 0.5 | Bootstrap p-Values | Måns Thulin |
| bootcluster | 0.3.2 | Bootstrapping Estimates of Clustering Stability | Tianmou Liu |
| bootComb | 1.1.2 | Combine Parameter Estimates via Parametric Bootstrap | Marc Henrion |
| bootCT | 2.1.0 | Bootstrapping the ARDL Tests for Cointegration | Gianmarco Vacca |
| bootES | 1.3.0 | Bootstrap Confidence Intervals on Effect Sizes | Daniel Gerlanc |
| bootf2 | 0.4.1 | Simulation and Comparison of Dissolution Profiles | Zhengguo Xu |
| bootGOF | 0.1.0 | Bootstrap Based Goodness-of-Fit Tests | Marsel Scheer |
| bootImpute | 1.2.1 | Bootstrap Inference for Multiple Imputation | Jonathan Bartlett |
| bootLR | 1.0.2 | Bootstrapped Confidence Intervals for (Negative) Likelihood
Ratio Tests | Ari B. Friedman |
| BootMRMR | 0.1 | Bootstrap-MRMR Technique for Informative Gene Selection | Samarendra Das |
| bootnet | 1.6 | Bootstrap Methods for Various Network Estimation Routines | Sacha Epskamp |
| bootPLS | 0.9.9 | Bootstrap Hyperparameter Selection for PLS Models and Extensions | Frederic Bertrand |
| BootPR | 1.0 | Bootstrap Prediction Intervals and Bias-Corrected Forecasting | Jae H. Kim |
| bootruin | 1.2-4 | A Bootstrap Test for the Probability of Ruin in the Classical
Risk Process | Benjamin Baumgartner |
| bootStepAIC | 1.3-0 | Bootstrap stepAIC | Dimitris Rizopoulos |
| bootstrap | 2019.6 | Functions for the Book "An Introduction to the Bootstrap" | Scott Kostyshak |
| bootstrapFP | 0.4.6 | Bootstrap Algorithms for Finite Population Inference | Roberto Sichera |
| BootstrapQTL | 1.0.5 | Bootstrap cis-QTL Method that Corrects for the Winner's Curse | Scott Ritchie |
| bootSVD | 1.1 | Fast, Exact Bootstrap Principal Component Analysis for High
Dimensional Data | Aaron Fisher |
| bootUR | 1.0.3 | Bootstrap Unit Root Tests | Stephan Smeekes |
| bootwar | 0.2.1 | Nonparametric Bootstrap Test with Pooled Resampling Card Game | Mackson Ncube |
| BootWPTOS | 1.2.1 | Test Stationarity using Bootstrap Wavelet Packet Tests | Guy Nason |
| Boptbd | 1.0.5 | Bayesian Optimal Block Designs | Dibaba Bayisa Gemechu |
| bor | 0.1.0 | Transforming Behavioral Observation Records into Data Matrices | David N Sousa |
| boral | 2.0.2 | Bayesian Ordination and Regression AnaLysis | Francis K.C. Hui |
| borrowr | 0.2.0 | Estimate Causal Effects with Borrowing Between Data Sources | Jeffrey A. Boatman |
| Boruta | 8.0.0 | Wrapper Algorithm for All Relevant Feature Selection | Miron Bartosz Kursa |
| BosonSampling | 0.1.5 | Classical Boson Sampling | Raphaël Clifford |
| BoSSA | 3.7 | A Bunch of Structure and Sequence Analysis | Pierre Lefeuvre |
| bossR | 1.0.4 | Biomarker Optimal Segmentation System | Xuekui Zhang |
| BOSSreg | 0.2.0 | Best Orthogonalized Subset Selection (BOSS) | Sen Tian |
| botor | 0.4.0 | 'AWS Python SDK' ('boto3') for R | Gergely Daróczi |
| BoundaryStats | 2.1.1 | Boundary Overlap Statistics | Amy Luo |
| BoundEdgeworth | 0.1.2.1 | Bound on the Error of the First-Order Edgeworth Expansion | Alexis Derumigny |
| boundingbox | 1.0.1 | Create a Bounding Box in an Image | David Stomski |
| boussinesq | 1.0.6 | Analytic Solutions for (Ground-Water) Boussinesq Equation | Emanuele Cordano |
| boutliers | 1.1-2 | Outlier Detection and Influence Diagnostics for Meta-Analysis | Hisashi Noma |
| BoutrosLab.plotting.general | 7.1.0 | Functions to Create Publication-Quality Plots | Paul Boutros |
| box | 1.2.0 | Write Reusable, Composable and Modular R Code | Konrad Rudolph |
| boxcoxmix | 0.42 | Box-Cox-Type Transformations for Linear and Logistic Models with
Random Effects | Iago Giné-Vázquez |
| boxfilter | 0.2 | Filter Noisy Data | Thomas Ruf |
| boxly | 0.1.1 | Interactive Box Plot | Benjamin Wang |
| boxplotcluster | 0.3 | Clustering Method Based on Boxplot Statistics | Gianmarco Alberti |
| boxplotdbl | 1.4.0 | Double Box Plot for Two-Axes Correlation | Shinichiro Tomizono |
| boxr | 0.3.6 | Interface for the 'Box.com API' | Ian Lyttle |
| bp | 2.1.0 | Blood Pressure Analysis in R | John Schwenck |
| bpa | 0.1.1 | Basic Pattern Analysis | Brandon Greenwell |
| bpAcc | 0.0-2 | Blood Pressure Device Accuracy Evaluation: Statistical
Considerations | Victor Miranda |
| bpbounds | 0.1.5 | Nonparametric Bounds for the Average Causal Effect Due to Balke
and Pearl and Extensions | Tom Palmer |
| bpca | 1.3-6 | Biplot of Multivariate Data Based on Principal Components
Analysis | José C. Faria |
| bpcp | 1.4.2 | Beta Product Confidence Procedure for Right Censored Data | Michael P. Fay |
| bpDir | 0.1.2 | Boxplots for Directional Data | Davide Buttarazzi |
| bpgmm | 1.0.9 | Bayesian Model Selection Approach for Parsimonious Gaussian
Mixture Models | Yaoxiang Li |
| BPM | 1.0.0 | Bayesian Purity Model to Estimate Tumor Purity | Jianzhao Gao and Xiaodan Fan |
| bpmnR | 0.1.1 | Support for BPMN (Business Process Management Notation) Models | Gert Janssenswillen |
| bpmnVisualizationR | 0.5.0 | Visualize Process Execution Data on 'BPMN' Diagrams | Celine Souchet |
| bpnreg | 2.0.3 | Bayesian Projected Normal Regression Models for Circular Data | Jolien Cremers |
| bpp | 1.0.4 | Computations Around Bayesian Predictive Power | Kaspar Rufibach |
| bpr | 1.0.7 | Fitting Bayesian Poisson Regression | Laura D'Angelo |
| BPrinStratTTE | 0.0.2 | Causal Effects in Principal Strata Defined by Antidrug
Antibodies | Christian Stock |
| bqror | 1.6.1 | Bayesian Quantile Regression for Ordinal Models | Prajual Maheshwari |
| bqtl | 1.0-36 | Bayesian QTL Mapping Toolkit | Charles C. Berry |
| BRACE | 0.1.0 | Bias Reduction Through Analysis of Competing Events (BRACE) | Tuo Lin |
| bracer | 1.2.2 | Brace Expansions | Trevor L Davis |
| BRACoD.R | 0.0.2.0 | BRACoD: Bayesian Regression Analysis of Compositional Data | Adrian Verster |
| brada | 1.0 | Bayesian Response-Adaptive Design Analysis | Riko Kelter |
| BradleyTerry2 | 1.1-2 | Bradley-Terry Models | Heather Turner |
| braggR | 0.1.1 | Calculate the Revealed Aggregator of Probability Predictions | Ville Satopää |
| braidReports | 0.5.4 | Visualize Combined Action Response Surfaces and Report BRAID
Analyses | Nathaniel R. Twarog |
| braidrm | 0.71 | Fitting Dose Response with the BRAID Combined Action Model | Nathaniel R. Twarog |
| BrailleR | 1.0.2 | Improved Access for Blind Users | A. Jonathan R. Godfrey |
| BrainCon | 0.3.0 | Inference the Partial Correlations Based on Time Series Data | Yunhaonan Yang |
| brainGraph | 3.1.0 | Graph Theory Analysis of Brain MRI Data | Christopher G. Watson |
| brainKCCA | 0.1.0 | Region-Level Connectivity Network Construction via Kernel
Canonical Correlation Analysis | Jian Kang |
| brainR | 1.6.0 | Helper Functions to 'misc3d' and 'rgl' Packages for Brain
Imaging | John Muschelli |
| BranchGLM | 2.1.5 | Efficient Best Subset Selection for GLMs via Branch and Bound
Algorithms | Jacob Seedorff |
| Branching | 0.9.7 | Simulation and Estimation for Branching Processes | Camilo Jose Torres-Jimenez |
| brandwatchR | 0.3.0 | 'Brandwatch' API to R | Donal Phipps |
| brant | 0.3-0 | Test for Parallel Regression Assumption | Benjamin Schlegel |
| braQCA | 1.2.1.29 | Bootstrapped Robustness Assessment for Qualitative Comparative
Analysis | Burrel Vann Jr |
| brassica | 1.0.2 | 1970s BASIC Interpreter | Mike Lee |
| bratteli | 1.0.0 | Deal with Bratteli Graphs | Stéphane Laurent |
| bravo | 2.3.1 | Bayesian Screening and Variable Selection | Dongjin Li |
| BrazilMet | 0.2.0 | Download and Processing of Automatic Weather Stations (AWS) Data
of INMET-Brazil | Roberto Filgueiras |
| BRBVS | 0.1.1 | Variable Ranking in Copula Survival Models Affected by General
Censoring Scheme | Danilo Petti |
| brclimr | 0.2.0 | Fetch Zonal Statistics of Weather Indicators for Brazilian
Municipalities | Raphael Saldanha |
| BRDT | 0.1.0 | Binomial Reliability Demonstration Tests | Suiyao Chen |
| brea | 0.2.0 | Bayesian Recurrent Event Analysis | Adam J King |
| bread | 0.4.1 | Analyze Big Files Without Loading Them in Memory | Vincent Guegan |
| BREADR | 1.0.1 | Estimates Degrees of Relatedness (Up to the Second Degree) for
Extreme Low-Coverage Data | Jono Tuke |
| breakaway | 4.8.4 | Species Richness Estimation and Modeling | Amy D Willis |
| breakDown | 0.2.2 | Model Agnostic Explainers for Individual Predictions | Przemyslaw Biecek |
| breakfast | 2.3 | Methods for Fast Multiple Change-Point Detection and Estimation | Yining Chen |
| breakpoint | 1.2 | An R Package for Multiple Break-Point Detection via the
Cross-Entropy Method | Priyadarshana W.J.R.M. |
| BreakPoints | 1.2 | Identify Breakpoints in Series of Data | Santiago I. Hurtado |
| breathtestcore | 0.8.7 | Core Functions to Read and Fit 13c Time Series from Breath Tests | Dieter Menne |
| breathteststan | 0.8.5 | Stan-Based Fit to Gastric Emptying Curves | Dieter Menne |
| bReeze | 0.4-4 | Functions for Wind Resource Assessment | Christian Graul |
| BRETIGEA | 1.0.3 | Brain Cell Type Specific Gene Expression Analysis | Andrew McKenzie |
| brew | 1.0-10 | Templating Framework for Report Generation | Greg Hunt |
| brglm | 0.7.2 | Bias Reduction in Binomial-Response Generalized Linear Models | Ioannis Kosmidis |
| brglm2 | 0.9.2 | Bias Reduction in Generalized Linear Models | Ioannis Kosmidis |
| brickset | 2024.0.0 | Interface with the Brickset API for Getting Data About LEGO Sets | Jason Bryer |
| bridgedist | 0.1.2 | An Implementation of the Bridge Distribution with Logit-Link as
in Wang and Louis (2003) | Bruce Swihart |
| bridger | 0.1.0 | Bridge Hand Generator with Criteria Selector | Jason Kaplan |
| bridger2 | 0.1.0 | Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data | Naoto Imamachi |
| bridgesampling | 1.1-2 | Bridge Sampling for Marginal Likelihoods and Bayes Factors | Quentin F. Gronau |
| brif | 1.4.1 | A Tree and Forest Tool for Classification and Regression | Yanchao Liu |
| briKmeans | 1.0 | Package for Brik, Fabrik and Fdebrik Algorithms to Initialise
Kmeans | Aurora Torrente |
| BRINDA | 0.1.5 | Computation of BRINDA Adjusted Micronutrient Biomarkers for
Inflammation | Hanqi Luo |
| brinton | 0.2.7 | A Graphical EDA Tool | Pere Millán-Martínez |
| brio | 1.1.4 | Basic R Input Output | Gábor Csárdi |
| briqr | 0.1.0 | Interface to the 'Briq' API | David Rubinger |
| BRISC | 1.0.5 | Fast Inference for Large Spatial Datasets using BRISC | Arkajyoti Saha |
| brisk | 0.1.0 | Bayesian Benefit Risk Analysis | Richard Payne |
| BRL | 0.1.0 | Beta Record Linkage | Mauricio Sadinle |
| brlrmr | 0.1.7 | Bias Reduction with Missing Binary Response | Arnab Maity |
| brm | 1.1.1 | Binary Regression Model | Mark Clements |
| brms | 2.21.0 | Bayesian Regression Models using 'Stan' | Paul-Christian Bürkner |
| brms.mmrm | 0.1.0 | Bayesian MMRMs using 'brms' | William Michael Landau |
| brmsmargins | 0.2.0 | Bayesian Marginal Effects for 'brms' Models | Joshua F. Wiley |
| brnn | 0.9.3 | Bayesian Regularization for Feed-Forward Neural Networks | Paulino Perez Rodriguez |
| Brobdingnag | 1.2-9 | Very Large Numbers in R | Robin K. S. Hankin |
| BrokenAdaptiveRidge | 1.0.0 | Broken Adaptive Ridge Regression with Cyclops | Marc A. Suchard |
| brokenstick | 2.5.0 | Broken Stick Model for Irregular Longitudinal Data | Stef van Buuren |
| broman | 0.80 | Karl Broman's R Code | Karl W Broman |
| broom | 1.0.5 | Convert Statistical Objects into Tidy Tibbles | Simon Couch |
| broom.helpers | 1.15.0 | Helpers for Model Coefficients Tibbles | Joseph Larmarange |
| broom.mixed | 0.2.9.5 | Tidying Methods for Mixed Models | Ben Bolker |
| brotli | 1.3.0 | A Compression Format Optimized for the Web | Jeroen Ooms |
| BrownDog | 0.2.1 | Brown Dog R Interface | Yan Zhao |
| brpop | 0.3.0 | Brazilian Population Estimatives | Raphael Saldanha |
| Brq | 3.0 | Bayesian Analysis of Quantile Regression Models | Rahim Alhamzawi (University of Al-Qadisiyah) |
| brsim | 0.3 | Brainerd-Robinson Similarity Coefficient Matrix | Gianmarco Alberti |
| bruceR | 2023.9 | Broadly Useful Convenient and Efficient R Functions | Han-Wu-Shuang Bao |
| BRugs | 0.9-2.1 | Interface to the 'OpenBUGS' MCMC Software | Uwe Ligges |
| brulee | 0.3.0 | High-Level Modeling Functions with 'torch' | Max Kuhn |
| brunnermunzel | 2.0 | (Permuted) Brunner-Munzel Test | Toshiaki Ara |
| BRVM | 5.3.0 | Retrieve Historical Data of Companies Listed on the 'BRVM' Stock
Exchange | Sessie Koffi Frederic |
| brxx | 0.1.2 | Bayesian Test Reliability Estimation | Joshua Ray Tanzer |
| bs4cards | 0.1.1 | Generate Bootstrap Cards | Danielle Navarro |
| bs4Dash | 2.3.3 | A 'Bootstrap 4' Version of 'shinydashboard' | David Granjon |
| BSagri | 0.1-10 | Safety Assessment in Agricultural Field Trials | Frank Schaarschmidt |
| bsam | 1.1.3 | Bayesian State-Space Models for Animal Movement | Ian Jonsen |
| bsamGP | 1.2.5 | Bayesian Spectral Analysis Models using Gaussian Process Priors | Beomjo Park |
| bscui | 0.1.5 | Build SVG Custom User Interface | Patrice Godard |
| BSDA | 1.2.2 | Basic Statistics and Data Analysis | Alan T. Arnholt |
| bsearchtools | 0.0.61 | Binary Search Tools | Marco Giuliano |
| bsgof | 0.23.8 | Birnbaum-Saunders Goodness-of-Fit Test | Chanseok Park |
| BSGW | 0.9.4 | Bayesian Survival Model with Lasso Shrinkage Using Generalized
Weibull Regression | Alireza S. Mahani |
| bshazard | 1.1 | Nonparametric Smoothing of the Hazard Function | Paola Rebora |
| bSi | 1.0.0 | Modeling and Computing Biogenic Silica ('bSi') from Inland and
Pelagic Sediments | George Okoko |
| bsicons | 0.1.2 | Easily Work with 'Bootstrap' Icons | Carson Sievert |
| bSims | 0.3-0 | Bird Point Count Simulator | Peter Solymos |
| bsitar | 0.2.1 | Bayesian Super Imposition by Translation and Rotation Growth
Curve Analysis | Satpal Sandhu |
| bskyr | 0.1.2 | Interact with 'Bluesky' Social | Christopher T. Kenny |
| BSL | 3.2.5 | Bayesian Synthetic Likelihood | Leah F. South |
| bslib | 0.7.0 | Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown' | Carson Sievert |
| BsMD | 2023.920 | Bayes Screening and Model Discrimination | Ernesto Barrios |
| bsnsing | 1.0.1 | Build Decision Trees with Optimal Multivariate Splits | Yanchao Liu |
| BSPADATA | 1.1.0 | Bayesian Proposal to Fit Spatial Econometric Models | Jorge Sicacha-Parada |
| BSPBSS | 1.0.5 | Bayesian Spatial Blind Source Separation | Ben Wu |
| bspcov | 1.0.0 | Bayesian Sparse Estimation of a Covariance Matrix | Kyeongwon Lee |
| bspec | 1.6 | Bayesian Spectral Inference | Christian Roever |
| bspline | 2.2 | B-Spline Interpolation and Regression | Serguei Sokol |
| bsplinePsd | 0.6.0 | Bayesian Nonparametric Spectral Density Estimation Using
B-Spline Priors | Matthew C. Edwards |
| bsplus | 0.1.4 | Adds Functionality to the R Markdown + Shiny Bootstrap Framework | Ian Lyttle |
| bspm | 0.5.6 | Bridge to System Package Manager | Iñaki Ucar |
| bspmma | 0.1-2 | Bayesian Semiparametric Models for Meta-Analysis | Deborah Burr |
| bsreg | 0.0.2 | Bayesian Spatial Regression Models | Nikolas Kuschnig |
| BSS | 0.1.0 | Brownian Semistationary Processes | Phillip Murray |
| BSSasymp | 1.2-3 | Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing
Matrix Estimates | Klaus Nordhausen |
| bssm | 2.0.2 | Bayesian Inference of Non-Linear and Non-Gaussian State Space
Models | Jouni Helske |
| bssn | 1.0 | Birnbaum-Saunders Model | Rocio Paola Maehara |
| BSSoverSpace | 0.1.0 | Blind Source Separation for Multivariate Spatial Data using
Eigen Analysis | Sixing Hao |
| BSSprep | 0.1 | Whitening Data as Preparation for Blind Source Separation | Markus Matilainen |
| bst | 0.3-24 | Gradient Boosting | Zhu Wang |
| bsTools | 1.0.5 | Create HTML Content with Bootstrap 5 Classes and Layouts | Timothy Conwell |
| bstrl | 1.0.2 | Bayesian Streaming Record Linkage | Ian Taylor |
| bsts | 0.9.10 | Bayesian Structural Time Series | Steven L. Scott |
| bsub | 1.1.0 | Submitter and Monitor of the 'LSF Cluster' | Zuguang Gu |
| bsvars | 2.1.0 | Bayesian Estimation of Structural Vector Autoregressive Models | Tomasz Woźniak |
| BSW | 0.1.1 | Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil
(BSW) Algorithm | Adam Bekhit |
| BT | 0.4 | (Adaptive) Boosting Trees Algorithm | Gireg Willame |
| btb | 0.2.0 | Beyond the Border - Kernel Density Estimation for Urban
Geography | Kim Antunez |
| BTdecayLasso | 0.1.1 | Bradley-Terry Model with Exponential Time Decayed Log-Likelihood
and Adaptive Lasso | Yunpeng Zhou |
| btergm | 1.10.12 | Temporal Exponential Random Graph Models by Bootstrapped
Pseudolikelihood | Philip Leifeld |
| BTLLasso | 0.1-13 | Modelling Heterogeneity in Paired Comparison Data | Gunther Schauberger |
| BTM | 0.3.7 | Biterm Topic Models for Short Text | Jan Wijffels |
| BTSPAS | 2024.4.1 | Bayesian Time-Stratified Population Analysis | Carl J Schwarz |
| BTSR | 0.1.5 | Bounded Time Series Regression | Taiane Schaedler Prass |
| BTtest | 0.10.1 | Estimate the Number of Factors in Large Nonstationary Datasets | Paul Haimerl |
| BTYD | 2.4.3 | Implementing BTYD Models with the Log Sum Exp Patch | Gabi Huiber |
| BTYDplus | 1.2.0 | Probabilistic Models for Assessing and Predicting your Customer
Base | Michael Platzer |
| bubbleHeatmap | 0.1.1 | Produces 'bubbleHeatmap' Plots for Visualising Metabolomics Data | Ruth Boxall |
| bubblyr | 0.1.2 | Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds | Mohamed El Fodil Ihaddaden |
| bucky | 1.0.7 | Bucky's Archive for Data Analysis in the Social Sciences | Alexander Tahk |
| BUCSS | 1.2.1 | Bias and Uncertainty Corrected Sample Size | Ken Kelley |
| Buddle | 2.0.1 | A Deep Learning for Statistical Classification and Regression
Analysis with Random Effects | Jiwoong Kim |
| buildmer | 2.11 | Stepwise Elimination and Term Reordering for Mixed-Effects
Regression | Cesko C. Voeten |
| buildr | 0.1.1 | Organize & Run Build Scripts Comfortably | Jan Netik |
| BuildSys | 1.1.2 | System for Building and Debugging C/C++ Dynamic Libraries | Paavo Jumppanen |
| bujar | 0.2-11 | Buckley-James Regression for Survival Data with High-Dimensional
Covariates | Zhu Wang |
| bulkAnalyseR | 1.1.0 | Interactive Shiny App for Bulk Sequencing Data | Ilias Moutsopoulos |
| bulkreadr | 1.1.0 | The Ultimate Tool for Reading Data in Bulk | Ezekiel Ogundepo |
| bulletcp | 1.0.0 | Automatic Groove Identification via Bayesian Changepoint
Detection | Nathaniel Garton |
| bulletr | 0.1 | Algorithms for Matching Bullet Lands | Eric Hare |
| bullishTrader | 1.0.1 | Bullish Trading Strategies Through Graphs | MaheshP Kumar |
| bullwhipgame | 0.1.0 | Bullwhip Effect Demo in Shiny | Marlene Marchena |
| bumbl | 1.0.3 | Tools for Modeling Bumblebee Colony Growth and Decline | Eric R. Scott |
| bumblebee | 0.1.0 | Quantify Disease Transmission Within and Between Population
Groups | Lerato E Magosi |
| bunching | 0.8.6 | Estimate Bunching | Panos Mavrokonstantis |
| bunchr | 1.2.0 | Analyze Bunching in a Kink or Notch Setting | Itai Trilnick |
| bundesbank | 0.1-11 | Download Data from Bundesbank | Enrico Schumann |
| bundesligR | 0.1.0 | All Final Tables of the Bundesliga | Philipp Ottolinger |
| bundle | 0.1.1 | Serialize Model Objects with a Consistent Interface | Julia Silge |
| bupaR | 0.5.4 | Business Process Analysis in R | Gert Janssenswillen |
| bupaverse | 0.1.0 | Easily Install and Load the 'bupaverse' | Gert Janssenswillen |
| burnr | 0.6.1 | Forest Fire History Analysis | Steven Malevich |
| bursa | 0.1.0 | R Wrapper for Bursa Municipality Open Data Portal | Ozancan Ozdemir |
| BurStFin | 1.3 | Burns Statistics Financial | Pat Burns |
| BurStMisc | 1.1 | Burns Statistics Miscellaneous | Pat Burns |
| bursts | 1.0-2 | Markov Model for Bursty Behavior in Streams | Jeff Binder |
| busdater | 0.2.0 | Standard Date Calculations for Business | Mick Mioduszewski |
| BusinessDuration | 0.2.0 | Calculates Business Duration Between Two Dates | Gnaneshwar G |
| businessPlanR | 0.1-0 | Simple Modelling Tools for Business Plans | Meik Michalke |
| butterflyOptions | 1.0.1 | Trading Butterfly Options Strategies | MaheshP Kumar |
| BuyseTest | 3.0.2 | Generalized Pairwise Comparisons | Brice Ozenne |
| Bvalue | 1.0 | B-Value and Empirical Equivalence Bound | Yi Zhao |
| BVAR | 1.0.5 | Hierarchical Bayesian Vector Autoregression | Nikolas Kuschnig |
| bvarsv | 1.1 | Bayesian Analysis of a Vector Autoregressive Model with
Stochastic Volatility and Time-Varying Parameters | Fabian Krueger |
| bvartools | 0.2.4 | Bayesian Inference of Vector Autoregressive and Error Correction
Models | Franz X. Mohr |
| BVARverse | 0.0.1 | Tidy Bayesian Vector Autoregression | Lukas Vashold |
| bvhar | 2.0.1 | Bayesian Vector Heterogeneous Autoregressive Modeling | Young Geun Kim |
| bvls | 1.4 | The Stark-Parker algorithm for bounded-variable least squares | Katharine M. Mullen |
| bvpa | 1.0.0 | Bivariate Pareto Distribution | Biplab Paul |
| BVSNLP | 1.1.9 | Bayesian Variable Selection in High Dimensional Settings using
Nonlocal Priors | Amir Nikooienejad |
| bwd | 0.1.0 | Backward Procedure for Change-Point Detection | Seung Jun Shin |
| bWGR | 2.2.7 | Bayesian Whole-Genome Regression | Alencar Xavier |
| BWGS | 0.2.1 | BreedWheat Genomic Selection Pipeline | Bangyou Zheng |
| bwimage | 1.3 | Describe Image Patterns in Natural Structures | Carlos Biagolini-Jr. |
| BwQuant | 0.1.0 | Bandwidth Selectors for Local Linear Quantile Regression | Mercedes Conde-Amboage |
| bws | 0.1.0 | Bayesian Weighted Sums | Phuc H. Nguyen |
| BWStest | 0.2.3 | Baumgartner Weiss Schindler Test of Equal Distributions | Steven E. Pav |
| bwsTools | 1.2.0 | Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs | Mark White |
| bysykkel | 0.3.1 | Get City Bike Data from Norway | Iman Ghayoornia |
| bytescircle | 1.1.2 | Statistics About Bytes Contained in a File as a Circle Plot | Roberto S. Galende |
| bzinb | 1.0.8 | Bivariate Zero-Inflated Negative Binomial Model Estimator | Hunyong Cho |
| c060 | 0.3-0 | Extended Inference for Lasso and Elastic-Net Regularized Cox and
Generalized Linear Models | Frederic Bertrand |
| C19dNUTS | 1.0.1 | Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS) | Thomas Wieland |
| c212 | 0.98 | Methods for Detecting Safety Signals in Clinical Trials Using
Body-Systems (System Organ Classes) | Raymond Carragher |
| c2c | 0.1.0 | Compare Two Classifications or Clustering Solutions of Varying
Structure | Mitchell Lyons |
| c2z | 0.2.0 | A Reference Manager | Øystein Olav Skaar |
| c3 | 0.3.0 | 'C3.js' Chart Library | Matt Johnson |
| c3net | 1.1.1.1 | Inferring Large-Scale Gene Networks with C3NET | Gokmen Altay |
| C443 | 3.4.0 | See a Forest for the Trees | Aniek Sies |
| C50 | 0.1.8 | C5.0 Decision Trees and Rule-Based Models | Max Kuhn |
| ca | 0.71.1 | Simple, Multiple and Joint Correspondence Analysis | Oleg Nenadic |
| CA3variants | 3.3.1 | Three-Way Correspondence Analysis Variants | Rosaria Lombardo |
| cabinets | 0.6.0 | Project Specific Workspace Organization Templates | Nick Williams |
| cabootcrs | 2.1.0 | Bootstrap Confidence Regions for Simple and Multiple
Correspondence Analysis | Trevor Ringrose |
| cacc | 0.1.0 | Conjunctive Analysis of Case Configurations | Asier Moneva |
| cache | 0.0.3 | Cache and Retrieve Computation Results | Olivier Binette |
| cachem | 1.0.8 | Cache R Objects with Automatic Pruning | Winston Chang |
| CACIMAR | 1.0.0 | Cross-Species Analysis of Cell Identities, Markers and
Regulations | Junyao Jiang |
| cacIRT | 1.4 | Classification Accuracy and Consistency under Item Response
Theory | Quinn N. Lathrop |
| CaDENCE | 1.2.5 | Conditional Density Estimation Network Construction and
Evaluation | Alex J. Cannon |
| CADFtest | 0.3-3 | A Package to Perform Covariate Augmented Dickey-Fuller Unit Root
Tests | Claudio Lupi |
| caesar | 1.1.0 | Encrypts and Decrypts Strings | Jacob Kaplan |
| caffsim | 0.2.2 | Simulation of Plasma Caffeine Concentrations by Using Population
Pharmacokinetic Model | Sungpil Han |
| CAGR | 1.1.0 | Compound Annual Growth Rate | Debopam Rakshit |
| cAIC4 | 1.0 | Conditional Akaike Information Criterion for 'lme4' and 'nlme' | David Ruegamer |
| CAinterprTools | 1.1.0 | Graphical Aid in Correspondence Analysis Interpretation and
Significance Testings | Gianmarco Alberti |
| Cairo | 1.6-2 | R Graphics Device using Cairo Graphics Library for Creating
High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG,
PostScript) and Display (X11 and Win32) Output | Simon Urbanek |
| CAISEr | 1.0.17 | Comparison of Algorithms with Iterative Sample Size Estimation | Felipe Campelo |
| calACS | 2.2.2 | Calculations for All Common Subsequences | Alan Gu |
| CALANGO | 1.0.16 | Comparative Analysis with Annotation-Based Genomic Components | Felipe Campelo |
| Calculator.LR.FNs | 1.3 | Calculator for LR Fuzzy Numbers | Abbas Parchami |
| calculus | 1.0.1 | High Dimensional Numerical and Symbolic Calculus | Emanuele Guidotti |
| calcUnique | 0.1.2 | Simple Wrapper for Computationally Expensive Functions | Stephen Froehlich |
| calendar | 0.0.1 | Create, Read, Write, and Work with 'iCalander' Files, Calendars
and Scheduling Data | Robin Lovelace |
| calendR | 1.2 | Ready to Print Monthly and Yearly Calendars Made with 'ggplot2' | José Carlos Soage González |
| calendRio | 0.2.0 | 'calendR' Fork with Additional Features (Backwards Compatible) | Marcel Schilling |
| CALF | 1.0.17 | Coarse Approximation Linear Function | John Ford |
| CALIBERrfimpute | 1.0-7 | Multiple Imputation Using MICE and Random Forest | Anoop Shah |
| calibmsm | 1.0.0 | Calibration Plots for the Transition Probabilities from
Multistate Models | Alexander Pate |
| calibrar | 0.9.0 | Automated Parameter Estimation for Complex Models | Ricardo Oliveros-Ramos |
| calibrate | 1.7.7 | Calibration of Scatterplot and Biplot Axes | Jan Graffelman |
| calibrateBinary | 0.1 | Calibration for Computer Experiments with Binary Responses | Chih-Li Sung |
| CalibrateSSB | 1.3.0 | Weighting and Estimation for Panel Data with Non-Response | Oyvind Langsrud |
| calibrationband | 0.2.1 | Calibration Bands | Marius Puke |
| CalibrationCurves | 2.0.1 | Calibration Performance | De Cock Bavo |
| calibrator | 1.2-8 | Bayesian Calibration of Complex Computer Codes | Robin K. S. Hankin |
| CalibratR | 0.1.2 | Mapping ML Scores to Calibrated Predictions | Dominik Heider |
| calidad | 0.5.0 | Assesses the Quality of Estimates Made by Complex Sample Designs | Klaus Lehmann |
| callr | 3.7.6 | Call R from R | Gábor Csárdi |
| callsync | 0.2.1 | Recording Synchronisation, Call Detection and Assignment, Audio
Analysis | Simeon Q. Smeele |
| calmate | 0.13.0 | Improved Allele-Specific Copy Number of SNP Microarrays for
Downstream Segmentation | Henrik Bengtsson |
| calmr | 0.6.1 | Canonical Associative Learning Models and their Representations | Victor Navarro |
| calpassapi | 0.0.3 | R Interface to Access CalPASS API | Vinh Nguyen |
| CalSim | 0.5.2 | The Calibration Simplex | Johannes Resin |
| CAMAN | 0.78 | Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN | Philipp Doebler |
| camcorder | 0.1.0 | Record Your Plot History | Ellis Hughes |
| CamelUp | 2.0.3 | 'CamelUp' Board Game as a Teaching Aid for Introductory
Statistics | Michael Czekanski |
| camerondata | 1.0.0 | Datasets from "Microeconometrics: Methods and Applications" by
Cameron and Trivedi | Juliana Vega-Lacorte |
| CAMML | 1.0.0 | Cell-Typing using Variance Adjusted Mahalanobis Distances with
Multi-Labeling | Courtney Schiebout |
| campaignmanageR | 0.1.0 | Connect to Campaign Manager via the 'Windsor.ai' API | Pablo Sanchez |
| campfin | 1.0.11 | Wrangle Campaign Finance Data | Kiernan Nicholls |
| campsis | 1.5.1 | Generic PK/PD Simulation Platform CAMPSIS | Nicolas Luyckx |
| campsismod | 1.1.1 | Generic Implementation of a PK/PD Model | Nicolas Luyckx |
| camsRad | 0.3.0 | Client for CAMS Radiation Service | Lukas Lundstrom |
| camtrapR | 2.3.0 | Camera Trap Data Management and Preparation of Occupancy and
Spatial Capture-Recapture Analyses | Juergen Niedballa |
| canadamaps | 0.1 | Maps of the Political and Administrative Divisions of Canada | Mauricio Vargas Sepulveda |
| canadianmaps | 2.0.0 | Effortlessly Create Stunning Canadian Maps | Joelle Cayen |
| canaper | 1.0.1 | Categorical Analysis of Neo- And Paleo-Endemism | Joel H. Nitta |
| cancensus | 0.5.7 | Access, Retrieve, and Work with Canadian Census Data and
Geography | Dmitry Shkolnik |
| CancerEvolutionVisualization | 2.0.1 | Publication Quality Phylogenetic Tree Plots | Paul Boutros |
| cancerGI | 1.0.1 | Analyses of Cancer Gene Interaction | Audrey Q. Fu |
| CancerGram | 1.0.0 | Prediction of Anticancer Peptides | Michal Burdukiewicz |
| cancerscreening | 1.0.2 | Streamline Access to Cancer Screening Data | David Kariuki |
| cancerTiming | 3.1.8 | Estimation of Temporal Ordering of Cancer Abnormalities | Elizabeth Purdom |
| candisc | 0.8-6 | Visualizing Generalized Canonical Discriminant and Canonical
Correlation Analysis | Michael Friendly |
| Canek | 0.2.5 | Batch Correction of Single Cell Transcriptome Data | Martin Loza |
| Canopy | 1.3.0 | Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal
and Spatial Clonal Evolutionary History by Next-Generation
Sequencing | Yuchao Jiang |
| canprot | 2.0.0 | Chemical Analysis of Proteins | Jeffrey Dick |
| cansim | 0.3.16 | Accessing Statistics Canada Data Table and Vectors | Jens von Bergmann |
| CANSIM2R | 1.14.1 | Directly Extracts Complete CANSIM Data Tables | Marco Lugo |
| canvasXpress | 1.46.9-1 | Visualization Package for CanvasXpress in R | Connie Brett |
| canvasXpress.data | 1.34.2 | Datasets for the 'canvasXpress' Package | Connie Brett |
| cap | 1.0 | Covariate Assisted Principal (CAP) Regression for Covariance
Matrix Outcomes | Yi Zhao |
| cape | 3.1.2 | Combined Analysis of Pleiotropy and Epistasis for Diversity
Outbred Mice | Anna Tyler |
| caper | 1.0.3 | Comparative Analyses of Phylogenetics and Evolution in R | David Orme |
| capitalR | 1.3.0 | Capital Budgeting Analysis, Annuity Loan Calculations and
Amortization Schedules | John T. Buynak |
| capl | 1.42 | Compute and Visualize CAPL-2 Scores and Interpretations | Joel Barnes |
| caplot | 0.2 | Correspondence Analysis with Geometric Frequency Interpretation | Gianmarco Alberti |
| capm | 0.14.0 | Companion Animal Population Management | Oswaldo Santos Baquero |
| capn | 1.0.0 | Capital Asset Pricing for Nature | Seong Do Yun |
| CaPO4Sim | 0.2.0 | A Virtual Patient Simulator in the Context of Calcium and
Phosphate Homeostasis | David Granjon |
| captr | 0.3.0 | Client for the Captricity API | Gaurav Sood |
| capushe | 1.1.2 | CAlibrating Penalities Using Slope HEuristics | Vincent Brault |
| car | 3.1-2 | Companion to Applied Regression | John Fox |
| caracas | 2.1.1 | Computer Algebra | Mikkel Meyer Andersen |
| caRamel | 1.3 | Automatic Calibration by Evolutionary Multi Objective Algorithm | Fabrice Zaoui |
| carat | 2.2.1 | Covariate-Adaptive Randomization for Clinical Trials | Xiaoqing Ye |
| CARBayes | 6.1.1 | Spatial Generalised Linear Mixed Models for Areal Unit Data | Duncan Lee |
| CARBayesdata | 3.0 | Data Used in the Vignettes Accompanying the CARBayes and
CARBayesST Packages | Duncan Lee |
| CARBayesST | 4.0 | Spatio-Temporal Generalised Linear Mixed Models for Areal Unit
Data | Duncan Lee |
| carbonate | 0.1.4 | Interact with 'carbon.js' | Jonathan Sidi |
| carbondate | 1.0.1 | Calibration and Summarisation of Radiocarbon Dates | Timothy J Heaton |
| carcass | 1.7 | Estimation of the Number of Fatalities from Carcass Searches | Fraenzi Korner-Nievergelt |
| card | 0.1.0 | Cardiovascular and Autonomic Research Design | Anish S. Shah |
| carData | 3.0-5 | Companion to Applied Regression Data Sets | John Fox |
| cardidates | 0.4.9 | Identification of Cardinal Dates in Ecological Time Series | Thomas Petzoldt |
| cards | 0.1.0 | Analysis Results Data | Daniel D. Sjoberg |
| cardx | 0.1.0 | Extra Analysis Results Data Utilities | Daniel Sjoberg |
| care | 1.1.11 | High-Dimensional Regression and CAR Score Variable Selection | Korbinian Strimmer |
| care4cmodel | 1.0.1 | Carbon-Related Assessment of Silvicultural Concepts | Peter Biber |
| caRecall | 0.1.0 | Government of Canada Vehicle Recalls Database API Wrapper | Nathan Smith |
| careless | 1.2.2 | Procedures for Computing Indices of Careless Responding | Richard Yentes |
| caresid | 0.1 | Correspondence Analysis Plot and Associations Visualisation | Gianmarco Alberti |
| caret | 6.0-94 | Classification and Regression Training | Max Kuhn |
| caretEnsemble | 2.0.3 | Ensembles of Caret Models | Zachary A. Deane-Mayer |
| caretForecast | 0.1.1 | Conformal Time Series Forecasting Using State of Art Machine
Learning Algorithms | Resul Akay |
| carfima | 2.0.2 | Continuous-Time Fractionally Integrated ARMA Process for
Irregularly Spaced Long-Memory Time Series Data | Hyungsuk Tak |
| cargo | 0.4.9 | Develop R Packages using Rust | David B. Dahl |
| caribou | 1.1-1 | Estimation of Caribou Abundance Based on Radio Telemetry Data | Louis-Paul Rivest |
| CARlasso | 0.1.2 | Conditional Autoregressive LASSO | Yunyi Shen |
| CarletonStats | 2.2 | Functions for Statistics Classes at Carleton College | Adam Loy |
| Carlson | 3.0.0 | Carlson Elliptic Integrals and Incomplete Elliptic Integrals | Stéphane Laurent |
| CARM | 1.1.0 | Covariate-Adjusted Adaptive Randomization via
Mahalanobis-Distance | Fanglu Chen |
| CARME | 0.1.1 | CAR-MM Modelling in Stan | Marco Gramatica |
| CARMS | 1.0.1 | Continuous Time Markov Rate Modeling for Reliability Analysis | Jacob Ormerod |
| caROC | 0.1.5 | Continuous Biomarker Evaluation with Adjustment of Covariates | Ziyi Li |
| caroline | 0.9.2 | A Collection of Database, Data Structure, Visualization, and
Utility Functions for R | David Schruth |
| carpenter | 0.2.2 | Build Common Tables of Summary Statistics for Reports | Luke Johnston |
| carrier | 0.1.1 | Isolate Functions for Remote Execution | Lionel Henry |
| CARRoT | 3.0.2 | Predicting Categorical and Continuous Outcomes Using One in Ten
Rule | Alina Bazarova |
| carSurv | 1.0.0 | Correlation-Adjusted Regression Survival (CARS) Scores | Thomas Welchowski |
| cartograflow | 1.0.5 | Filtering Matrix for Flow Mapping | Sylvain Blondeau |
| cartogram | 0.3.0 | Create Cartograms with R | Sebastian Jeworutzki |
| cartogramR | 1.0-10 | Continuous Cartogram | Pierre-Andre Cornillon |
| cartographer | 0.2.1 | Turn Place Names into Map Data | Carl Suster |
| cartography | 3.1.4 | Thematic Cartography | Timothée Giraud |
| casabourse | 2.0.0 | Casablanca Stock Exchange Data | Abdoul Oudouss Diakité |
| Cascade | 2.1 | Selection, Reverse-Engineering and Prediction in Cascade
Networks | Frederic Bertrand |
| CascadeData | 1.4 | Experimental Data of Cascade Experiments in Genomics | Frederic Bertrand |
| cascadeSelect | 1.1.0 | A Cascade Select Input for 'Shiny' | Stéphane Laurent |
| CASCORE | 0.1.2 | Covariate Assisted Spectral Clustering on Ratios of Eigenvectors | Yaofang Hu |
| cascsim | 0.4 | Casualty Actuarial Society Individual Claim Simulator | Kailan Shang |
| CaseBasedReasoning | 0.3 | Case Based Reasoning | Simon Mueller |
| CaseCohortCoxSurvival | 0.0.34 | Case-Cohort Cox Survival Inference | Bill Wheeler |
| caseMatch | 1.1.0 | Identify Similar Cases for Qualitative Case Studies | Rich Nielsen |
| cases | 0.1.1 | Stratified Evaluation of Subgroup Classification Accuracy | Max Westphal |
| casino | 0.1.0 | Play Casino Games | Anthony Pileggi |
| CASMAP | 0.6.1 | Detection of Statistically Significant Combinations of SNPs in
Association Mapping | Dean Bodenham |
| CASMI | 1.2.2 | 'CASMI'-Based Functions | Jingyi (Catherine) Shi |
| cassandRa | 0.1.0 | Finds Missing Links and Metric Confidence Intervals in
Ecological Bipartite Networks | Chris Terry |
| cassowaryr | 2.0.0 | Compute Scagnostics on Pairs of Numeric Variables in a Data Set | Harriet Mason |
| CAST | 1.0.0 | 'caret' Applications for Spatial-Temporal Models | Hanna Meyer |
| castor | 1.8.0 | Efficient Phylogenetics on Large Trees | Stilianos Louca |
| cat | 0.0-9 | Analysis and Imputation of Categorical-Variable Datasets with
Missing Values | Fernando Tusell |
| cat2cat | 0.4.7 | Handling an Inconsistently Coded Categorical Variable in a
Longitudinal Dataset | Maciej Nasinski |
| cata | 0.1.0.5 | Analysis of Check-All-that-Apply (CATA) Data | J.C. Castura |
| catalog | 0.1.1 | Access the 'Spark Catalog' API via 'sparklyr' | Nathan Eastwood |
| CatastRo | 0.3.0 | Interface to the API 'Sede Electronica Del Catastro' | Diego Hernangómez |
| catch | 1.0.1 | Covariate-Adjusted Tensor Classification in High-Dimensions | Yuqing Pan |
| catcont | 0.5.0 | Test, Identify, Select and Mutate Categorical or Continuous
Values | Christopher Brown |
| catdap | 1.3.7 | Categorical Data Analysis Program Package | Masami Saga |
| catdata | 1.2.4 | Categorical Data | Gunther Schauberger |
| CatDataAnalysis | 0.1-5 | Datasets for Categorical Data Analysis by Agresti | Charles J. Geyer |
| CatDyn | 1.1-1 | Fishery Stock Assessment by Catch Dynamics Models | Ruben H. Roa-Ureta |
| cate | 1.1.1 | High Dimensional Factor Analysis and Confounder Adjusted Testing
and Estimation | Qingyuan Zhao |
| categoryEncodings | 1.4.3 | Category Variable Encodings | Juraj Szitas |
| CatEncoders | 0.1.1 | Encoders for Categorical Variables | nl zhang |
| catfun | 0.1.4 | Categorical Data Analysis | Nick Williams |
| cati | 0.99.4 | Community Assembly by Traits: Individuals and Beyond | Adrien Taudiere |
| catIrt | 0.5.1 | Simulate IRT-Based Computerized Adaptive Tests | Steven Nydick |
| catlearn | 1.0 | Formal Psychological Models of Categorization and Learning | Andy Wills |
| catmap | 1.6.4 | Case-Control and TDT Meta-Analysis Package | Thomas Quinn |
| catmaply | 0.9.4 | Heatmap for Categorical Data using 'plotly' | Yves Mauron |
| caTools | 1.18.2 | Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc | Michael Dietze |
| CatPredi | 1.3 | Optimal Categorisation of Continuous Variables in Prediction
Models | Irantzu Barrio |
| catR | 3.17 | Generation of IRT Response Patterns under Computerized Adaptive
Testing | Cheng Hua |
| CatReg | 2.0.3 | Solution Paths for Linear and Logistic Regression Models with
Categorical Predictors, with SCOPE Penalty | Daniel Grose |
| cats | 1.0.2 | Cohort Platform Trial Simulation | Elias Laurin Meyer |
| catseyes | 0.2.5 | Create Catseye Plots Illustrating the Normal Distribution of the
Means | Clark Andersen |
| catsim | 0.2.3 | Binary and Categorical Image Similarity Index | Geoffrey Thompson |
| catSurv | 1.5.0 | Computerized Adaptive Testing for Survey Research | Erin Rossiter |
| CATT | 2.0 | The Cochran-Armitage Trend Test | Zhicheng Du |
| CATTexact | 0.1.1 | Computation of the p-Value for the Exact Conditional
Cochran-Armitage Trend Test | Dominic Edelmann |
| CauchyCP | 0.1.1 | Powerful Test for Survival Data under Non-Proportional Hazards | Hong Zhang |
| cauchypca | 1.3 | Robust Principal Component Analysis Using the Cauchy
Distribution | Michail Tsagris |
| cauphy | 1.0.2 | Trait Evolution on Phylogenies Using the Cauchy Process | Paul Bastide |
| causact | 0.5.4 | Fast, Easy, and Visual Bayesian Inference | Adam Fleischhacker |
| causal.decomp | 0.1.0 | Causal Decomposition Analysis | Suyeon Kang |
| causalBatch | 1.2.0 | Causal Batch Effects | Eric W. Bridgeford |
| causalCmprsk | 2.0.0 | Nonparametric and Cox-Based Estimation of Average Treatment
Effects in Competing Risks | Bella Vakulenko-Lagun |
| causaldata | 0.1.3 | Example Data Sets for Causal Inference Textbooks | Nick Huntington-Klein |
| causalDisco | 0.9.1 | Tools for Causal Discovery on Observational Data | Anne Helby Petersen |
| causaldrf | 0.4.2 | Estimating Causal Dose Response Functions | Douglas Galagate |
| causaleffect | 1.3.15 | Deriving Expressions of Joint Interventional Distributions and
Transport Formulas in Causal Models | Santtu Tikka |
| CausalGAM | 0.1-4 | Estimation of Causal Effects with Generalized Additive Models | Kevin Quinn |
| CausalGPS | 0.4.1 | Matching on Generalized Propensity Scores with Continuous
Exposures | Naeem Khoshnevis |
| causalHyperGraph | 0.1.0 | Drawing Causal Hypergraphs | Mathias Ambuehl |
| CausalImpact | 1.3.0 | Inferring Causal Effects using Bayesian Structural Time-Series
Models | Alain Hauser |
| CausalMBSTS | 0.1.1 | MBSTS Models for Causal Inference and Forecasting | Fiammetta Menchetti |
| CausalMetaR | 0.1.1 | Causally Interpretable Meta-Analysis | Sean McGrath |
| CausalModels | 0.2.0 | Causal Inference Modeling for Estimation of Causal Effects | Joshua Anderson |
| causaloptim | 0.9.8 | An Interface to Specify Causal Graphs and Compute Bounds on
Causal Effects | Michael C Sachs |
| causalOT | 1.0.2 | Optimal Transport Weights for Causal Inference | Eric Dunipace |
| causalPAF | 1.2.5 | Causal Effect for Population Attributable Fractions (PAF) | Maurice O'Connell |
| CausalQueries | 1.0.2 | Make, Update, and Query Binary Causal Models | Till Tietz |
| causalsens | 0.1.3 | Selection Bias Approach to Sensitivity Analysis for Causal
Effects | Matthew Blackwell |
| causalSLSE | 0.3-1 | Semiparametric Least Squares Inference for Causal Effects | Pierre Chausse Developer |
| causalweight | 1.1.0 | Estimation Methods for Causal Inference Based on Inverse
Probability Weighting | Hugo Bodory |
| CausCor | 0.1.3 | Calculate Correlations and Estimate Causality | Tomomi Sugiyama |
| CautiousLearning | 1.0.1 | Control Charts with Guaranteed In-Control Performance and
Cautious Parameters Learning | Giovanna Capizzi |
| CAvariants | 6.0 | Correspondence Analysis Variants | Rosaria Lombardo |
| caviarpd | 0.3.9 | Cluster Analysis via Random Partition Distributions | David B. Dahl |
| CB2 | 1.3.4 | CRISPR Pooled Screen Analysis using Beta-Binomial Test | Hyun-Hwan Jeong |
| cba | 0.2-23 | Clustering for Business Analytics | Christian Buchta |
| cbanalysis | 0.2.0 | Coffee Break Descriptive Analysis | Sandip Kumar Gupta |
| cbass | 0.1 | Classification -- Bayesian Adaptive Smoothing Splines | Frank Marrs |
| CBCgrps | 2.8.2 | Compare Baseline Characteristics Between Groups | Zhongheng Zhang |
| cbcTools | 0.5.0 | Choice-Based Conjoint Experiment Design Generation and Power
Evaluation in R | John Helveston |
| cbinom | 1.6 | Continuous Analog of a Binomial Distribution | Dan Dalthorp |
| cbioportalR | 1.1.0 | Browse and Query Clinical and Genomic Data from cBioPortal | Karissa Whiting |
| cbl | 0.1.3 | Causal Discovery under a Confounder Blanket | David Watson |
| CBnetworkMA | 0.1.0 | Contrast-Based Bayesian Network Meta Analysis | Garritt L. Page |
| CBPS | 0.23 | Covariate Balancing Propensity Score | Christian Fong |
| cbq | 0.2.0.3 | Conditional Binary Quantile Models | Xiao LU |
| cbsodataR | 1.0.1 | Statistics Netherlands (CBS) Open Data API Client | Edwin de Jonge |
| CBSr | 1.0.5 | Fits Cubic Bezier Spline Functions to Intertemporal and Risky
Choice Data | Sangil Lee |
| CBT | 1.0 | Confidence Bound Target Algorithm | Shouri Hu |
| CC | 1.0 | Control Charts | W.John Braun |
| CCA | 1.2.2 | Canonical Correlation Analysis | Sébastien Déjean |
| CCAMLRGIS | 4.0.7 | Antarctic Spatial Data Manipulation | Stephane Thanassekos |
| ccaPP | 0.3.3 | (Robust) Canonical Correlation Analysis via Projection Pursuit | Andreas Alfons |
| cccd | 1.6 | Class Cover Catch Digraphs | David J. Marchette |
| cccm | 0.1.0 | Crossed Classification Credibility Model | Muhlis Ozdemir |
| cccp | 0.3-1 | Cone Constrained Convex Problems | Bernhard Pfaff |
| cccrm | 2.2.1 | Concordance Correlation Coefficient for Repeated (and
Non-Repeated) Measures | Josep Lluis Carrasco |
| ccda | 1.1.1 | Combined Cluster and Discriminant Analysis | Solt Kovacs |
| ccdR | 1.0.0 | Utilities for Interacting with the 'CCTE' APIs | Paul Kruse |
| cchs | 0.4.4 | Cox Model for Case-Cohort Data with Stratified
Subcohort-Selection | E. Jones |
| cchsflow | 2.1.0 | Transforming and Harmonizing CCHS Variables | Kitty Chen |
| ccid | 1.2.0 | Cross-Covariance Isolate Detect: a New Change-Point Method for
Estimating Dynamic Functional Connectivity | Andreas Anastasiou |
| cclust | 0.6-26 | Convex Clustering Methods and Clustering Indexes | Kurt Hornik |
| CCM | 1.2 | Correlation Classification Method | Garrett M. Dancik |
| ccmEstimator | 1.0.0 | Comparative Causal Mediation Estimation | Xiaohan Wu |
| ccml | 1.4.0 | Consensus Clustering for Different Sample Coverage Data | Chuanxing Li |
| ccmm | 1.0 | Compositional Mediation Model | Michael B. Sohn |
| CCMMR | 0.2 | Minimization of the Convex Clustering Loss Function | Daniel Touw |
| ccmReportR | 0.1.0 | Wraps 'CCM' with Utility Functions | James Lane |
| ccoptimalmatch | 0.1.0 | Implementation of Case-Control Optimal Matching | Pavlos Mamouris |
| ccostr | 0.1.0 | Estimation of Mean Costs in Censored Data | Lars Boerty |
| CCP | 1.2 | Significance Tests for Canonical Correlation Analysis (CCA) | Uwe Menzel |
| ccpsyc | 0.2.6 | Methods for Cross-Cultural Psychology | Johannes Karl |
| ccRemover | 1.0.4 | Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing
Data | Jun Li |
| ccrs | 0.1.0 | Correct and Cluster Response Style Biased Data | Mariko Takagishi |
| ccrtm | 0.1.6 | Coupled Chain Radiative Transfer Models | Marco D. Visser |
| ccss | 1.0 | Cluster Circular Systematic Sampling | Abhibhav Sharma |
| ccTensor | 1.0.2 | CUR/CX Tensor Decomposition | Koki Tsuyuzaki |
| cctools | 0.1.2 | Tools for the Continuous Convolution Trick in Nonparametric
Estimation | Thomas Nagler |
| CCTpack | 1.5.2 | Consensus Analysis, Model-Based Clustering, and Cultural
Consensus Theory Applications | Royce Anders |
| CCWeights | 0.1.6 | Perform Weighted Linear Regression for Calibration Curve | Yonghui Dong |
| cd | 0.1.0 | CD Data for Entity Resolution | Rebecca Steorts |
| cdata | 1.2.1 | Fluid Data Transformations | John Mount |
| CDatanet | 2.1.3 | Modeling Count Data with Peer Effects | Aristide Houndetoungan |
| cdcatR | 1.0.6 | Cognitive Diagnostic Computerized Adaptive Testing | Miguel A. Sorrel |
| CDCPLACES | 1.1.5 | Access the 'CDC PLACES' API | Brenden Smith |
| cdcsis | 2.0.3 | Conditional Distance Correlation Based Feature Screening and
Conditional Independence Inference | Jin Zhu |
| cder | 0.3-1 | Interface to the California Data Exchange Center (CDEC) | Michael Koohafkan |
| cdfquantreg | 1.3.1-2 | Quantile Regression for Random Variables on the Unit Interval | Yiyun Shou |
| CDFt | 1.2 | Downscaling and Bias Correction via Non-Parametric CDF-Transform | Mathieu Vrac |
| cdgd | 0.3.4 | Causal Decomposition of Group Disparities | Ang Yu |
| cdlei | 1.0 | Cause-Deleted Life Expectancy Improvement Procedure | Alicja Wolny-Dominiak |
| cdlTools | 1.13 | Tools to Download and Work with USDA Cropscape Data | Jonathan Lisic |
| CDM | 8.2-6 | Cognitive Diagnosis Modeling | Alexander Robitzsch |
| CDMConnector | 1.3.1 | Connect to an OMOP Common Data Model | Adam Black |
| cdmTools | 1.0.5 | Useful Tools for Cognitive Diagnosis Modeling | Pablo Nájera |
| cdom | 0.1.0 | R Functions to Model CDOM Spectra | Philippe Massicotte |
| cdparcoord | 1.0.1 | Top Frequency-Based Parallel Coordinates | Norm Matloff |
| cdrcR | 0.1.1 | Load 'CDRC' Data | Alessia Calafiore |
| cds | 1.0.3 | Constrained Dual Scaling for Detecting Response Styles | Pieter Schoonees |
| CDSE | 0.1.0 | 'Copernicus Data Space Ecosystem' API Wrapper | Zivan Karaman |
| CDSS | 0.2-0 | Course-Dependent Skill Structures | Cord Hockemeyer |
| CDVI | 0.1.0 | Cuddy-Della Valle Index for Capturing the Instability in Time
Series Data | Dr. S. Vishnu Shankar |
| CDVineCopulaConditional | 0.1.1 | Sampling from Conditional C- and D-Vine Copulas | Emanuele Bevacqua |
| CEC | 0.11.1 | Cross-Entropy Clustering | Simon Garnier |
| CEDA | 1.1.1 | CRISPR Screen and Gene Expression Differential Analysis | Lianbo Yu |
| CEEMDANML | 0.1.0 | CEEMDAN Decomposition Based Hybrid Machine Learning Models | Mr. Sandip Garai |
| ceg | 0.1.0 | Chain Event Graph | Pier Taranti |
| CEGO | 2.4.3 | Combinatorial Efficient Global Optimization | Martin Zaefferer |
| celestial | 1.4.6 | Collection of Common Astronomical Conversion Routines and
Functions | Aaron Robotham |
| cellKey | 1.0.2 | Consistent Perturbation of Statistical Frequency- And Magnitude
Tables | Bernhard Meindl |
| cellOrigins | 0.1.3 | Finds RNASeq Source Tissues Using In Situ Hybridisation Data | David Molnar |
| cellpypes | 0.3.0 | Cell Type Pipes for Single-Cell RNA Sequencing Data | Felix Frauhammer |
| cellranger | 1.1.0 | Translate Spreadsheet Cell Ranges to Rows and Columns | Jennifer Bryan |
| celltrackR | 1.2.0 | Motion Trajectory Analysis | Johannes Textor |
| cellVolumeDist | 1.4 | Functions to Fit Cell Volume Distributions and Thereby Estimate
Cell Growth Rates and Division Times | Katharine M. Mullen |
| cellWise | 2.5.3 | Analyzing Data with Cellwise Outliers | Jakob Raymaekers |
| cem | 1.1.31 | Coarsened Exact Matching | Stefano M. Iacus |
| cemco | 0.2 | Fit 'CemCO' Algorithm | Andre Fujita |
| CenBAR | 0.1.1 | Broken Adaptive Ridge AFT Model with Censored Data | Zhihua Sun |
| cencrne | 1.0.0 | Consistent Estimation of the Number of Communities via
Regularized Network Embedding | Mingyang Ren |
| cenGAM | 0.5.3 | Censored Regression with Smooth Terms | Zhou Fang |
| cenROC | 2.0.0 | Estimating Time-Dependent ROC Curve and AUC for Censored Data | Kassu Mehari Beyene |
| censable | 0.0.5 | Making Census Data More Usable | Christopher T. Kenny |
| censCov | 1.0-0 | Linear Regression with a Randomly Censored Covariate | Sy Han (Steven) Chiou |
| CensMFM | 3.0 | Finite Mixture of Multivariate Censored/Missing Data | Francisco H. C. de Alencar |
| censo2017 | 0.6.2 | Base de Datos de Facil Acceso del Censo 2017 de Chile (2017
Chilean Census Easy Access Database) | Mauricio Vargas |
| censobr | 0.3.2 | Download Data from Brazil's Population Census | Rafael H. M. Pereira |
| censorcopula | 2.0 | Estimate Parameter of Bivariate Copula | Yan Li |
| censored | 0.3.0 | 'parsnip' Engines for Survival Models | Hannah Frick |
| censReg | 0.5-36 | Censored Regression (Tobit) Models | Arne Henningsen |
| CensSpatial | 3.6 | Censored Spatial Models | Alejandro Ordonez |
| Census2016 | 0.2.0 | Data from the Australian Census 2016 | Hugh Parsonage |
| censusapi | 0.8.0 | Retrieve Data from the Census APIs | Hannah Recht |
| censusr | 0.0.4 | Collect Data from the Census API | Greg Macfarlane |
| centiserve | 1.0.0 | Find Graph Centrality Indices | Mahdi Jalili |
| centralplot | 0.1.0 | Show the Strength of Relationships Between Centre and Peripheral
Items | Jian Sun |
| centrifugeR | 0.1.7 | Non-Trivial Balance of Centrifuge Rotors | Duy Nghia Pham |
| CEOdata | 1.3.1.1 | Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion
Polls in Catalonia | Xavier Fernández-i-Marín |
| CEoptim | 1.3 | Cross-Entropy R Package for Optimization | Benoit Liquet |
| CePa | 0.8.0 | Centrality-Based Pathway Enrichment | Zuguang Gu |
| cepiigeodist | 0.1 | CEPII's GeoDist Datasets | Mauricio Vargas |
| cepp | 1.7 | Context Driven Exploratory Projection Pursuit | Mohit Dayal |
| cepR | 0.1.2 | Busca CEPs Brasileiros | Robert Myles McDonnell |
| cepreader | 1.2-2 | Read 'CEP' and Legacy 'CANOCO' Files | Jari Oksanen |
| cepumd | 2.1.0 | Calculate Consumer Expenditure Survey (CE) Annual Estimates | Arcenis Rojas |
| cequre | 1.5 | Censored Quantile Regression & Monotonicity-Respecting Restoring | Yijian Huang |
| ceramic | 0.9.5 | Download Online Imagery Tiles | Michael Sumner |
| cereal | 0.1.0 | Serialize 'vctrs' Objects to 'JSON' | Julia Silge |
| CERFIT | 0.1.0 | Causal Effect Random Forest of Interaction Tress | Justin Thorp |
| CerioliOutlierDetection | 1.1.13 | Outlier Detection Using the Iterated RMCD Method of Cerioli
(2010) | Christopher G. Green |
| CeRNASeek | 2.1.3 | Identification and Analysis of ceRNA Regulation | Mengying Zhang |
| ceRtainty | 1.0.0 | Certainty Equivalent | Ariel Soto-Caro |
| Certara.NLME8 | 1.2.4 | Utilities for Certara's Nonlinear Mixed-Effects Modeling Engine | James Craig |
| Certara.R | 1.1.0 | Easily Install Pharmacometric Packages and Shiny Applications
Developed by Certara | James Craig |
| ceser | 1.0.0 | Cluster Estimated Standard Errors | Diogo Ferrari |
| cesR | 0.1.0 | Access the Canadian Election Study Datasets | Paul A. Hodgetts |
| cetcolor | 0.2.0 | CET Perceptually Uniform Colour Maps | James Balamuta |
| ceterisParibus | 0.4.2 | Ceteris Paribus Profiles | Przemyslaw Biecek |
| cfa | 0.10-1 | Configural Frequency Analysis (CFA) | Patrick Mair |
| CFAcoop | 1.0.0 | Colony Formation Assay: Taking into Account Cellular Cooperation | Daniel Samaga |
| cfbfastR | 1.9.0 | Access College Football Play by Play Data | Saiem Gilani |
| CFC | 1.2.0 | Cause-Specific Framework for Competing-Risk Analysis | Alireza S. Mahani |
| cfda | 0.11.0 | Categorical Functional Data Analysis | Quentin Grimonprez |
| cfdecomp | 0.4.0 | Counterfactual Decomposition: MC Integration of the G-Formula | Maarten Jacob Bijlsma |
| CFF | 1.0 | Simple Similarity for User-Based Collaborative Filtering Systems | Farimah Houshmand Nanehkaran |
| cffdrs | 1.9.0 | Canadian Forest Fire Danger Rating System | Brett Moore |
| cffr | 1.0.1 | Generate Citation File Format ('cff') Metadata for R Packages | Diego Hernangómez |
| cfid | 0.1.7 | Identification of Counterfactual Queries in Causal Models | Santtu Tikka |
| CFilt | 0.2.1 | Collaborative Filtering by Reference Classes | Thiago Lima |
| cfma | 1.0 | Causal Functional Mediation Analysis | Yi Zhao |
| cfmortality | 0.3.0 | Cystic Fibrosis Survival Prediction Model Based on Stanojevic
Model | Amin Adibi |
| CFO | 1.1.1 | CFO-Type Designs in Phase I Clinical Trials | Jialu Fang |
| cforward | 0.1.0 | Forward Selection using Concordance/C-Index | John Muschelli |
| cfr | 0.1.0 | Estimate Disease Severity and Case Ascertainment | Pratik R. Gupte |
| cft | 1.0.0 | Climate Futures Toolbox | Erick Verleye |
| CFtime | 1.3.0 | Using CF-Compliant Calendars with Climate Projection Data | Patrick Van Laake |
| cg | 1.0-3 | Compare Groups, Analytically and Graphically | Bill Pikounis |
| cgaim | 1.0.1 | Constrained Groupwise Additive Index Models | Pierre Masselot |
| cgal4h | 0.1.0 | 'CGAL' Version 4 C++ Header Files | Ahmadou Dicko |
| cgam | 1.21 | Constrained Generalized Additive Model | Xiyue Liao |
| cgAUC | 1.2.1 | Calculate AUC-type measure when gold standard is continuous and
the corresponding optimal linear combination of variables with
respect to it. | Yu-chia Chang |
| CGE | 0.3.3 | Computing General Equilibrium | LI Wu |
| CGGP | 1.0.4 | Composite Grid Gaussian Processes | Collin Erickson |
| cglasso | 2.0.7 | Conditional Graphical LASSO for Gaussian Graphical Models with
Censored and Missing Values | Luigi Augugliaro |
| cglm | 1.1 | Fits Conditional Generalized Linear Models | Arvid Sjolander |
| cgmanalysis | 2.7.7 | Clean and Analyze Continuous Glucose Monitor Data | Tim Vigers |
| CGManalyzer | 1.3.1 | Continuous Glucose Monitoring Data Analyzer | Xinzheng Dong |
| cgmquantify | 0.1.0 | Analyzing Glucose and Glucose Variability | Maria Henriquez |
| CGNM | 0.6.7 | Cluster Gauss-Newton Method | Yasunori Aoki |
| CGP | 2.1-1 | Composite Gaussian Process Models | Shan Ba |
| CGPfunctions | 0.6.3 | Powell Miscellaneous Functions for Teaching and Learning
Statistics | Chuck Powell |
| CGR | 0.1.0 | Compound Growth Rate for Capturing the Growth Rate Over the
Period | Dr. S. Vishnu Shankar |
| cgwtools | 4.1 | Miscellaneous Tools | Carl Witthoft |
| ch | 0.1.0.2 | About some Small Functions | Hailong Chai |
| ChainLadder | 0.2.18 | Statistical Methods and Models for Claims Reserving in General
Insurance | Markus Gesmann |
| chameleon | 0.2-3 | Automatic Colors for Multi-Dimensional Data | Oren Ben-Kiki |
| chandwich | 1.1.6 | Chandler-Bate Sandwich Loglikelihood Adjustment | Paul J. Northrop |
| changepoint | 2.2.4 | Methods for Changepoint Detection | Rebecca Killick |
| changepoint.geo | 1.0.2 | Geometrically Inspired Multivariate Changepoint Detection | Rebecca Killick |
| changepoint.influence | 1.0.2 | Package to Calculate the Influence of the Data on a Changepoint
Segmentation | Rebecca Killick |
| changepoint.np | 1.0.5 | Methods for Nonparametric Changepoint Detection | Daniel Grose |
| changepoints | 1.1.0 | A Collection of Change-Point Detection Methods | Haotian Xu |
| changepointsVar | 0.1.1 | Change-Points Detections for Changes in Variance | Gianluca Sottile |
| ChangePointTaylor | 0.2 | Identify Changes in Mean | Michael Marks |
| ChangepointTesting | 1.1 | Change Point Estimation for Clustered Signals | Shannon T. Holloway |
| changepointTests | 0.1.5 | Change Point Tests for Joint Distributions and Copulas | Bruno N Remillard |
| changer | 0.0.5 | Change R Package Name | Jouni Helske |
| changeRangeR | 1.1.0 | Change Metrics for Species Geographic Ranges | Mary E. Blair |
| changeS | 1.0.1 | S-Curve Fit for Changepoint Analysis | Norm Matloff |
| ChannelAttribution | 2.0.7 | Markov Model for Online Multi-Channel Attribution | Davide Altomare |
| ChannelAttributionApp | 1.3 | Shiny Web Application for the Multichannel Attribution Problem | Davide Altomare |
| chantrics | 1.0.0 | Loglikelihood Adjustments for Econometric Models | Theo Bruckbauer |
| Chaos01 | 1.2.1 | 0-1 Test for Chaos | Tomas Martinovic |
| ChaosGame | 1.4 | Chaos Game | Marco Tschimpke |
| charlatan | 0.5.1 | Make Fake Data | Roel M. Hogervorst |
| chartql | 0.1.0 | Simplified Language for Plots and Charts | Rohail Syed |
| chatAI4R | 0.2.10 | Chat-Based Interactive Artificial Intelligence for R | Satoshi Kume |
| chatgpt | 0.2.3 | Interface to 'ChatGPT' from R | Juan Cruz Rodriguez |
| cheapr | 0.5.0 | Simple Functions to Save Time and Memory | Nick Christofides |
| cheatsheet | 0.1.2 | Download R Cheat Sheets Locally | Brad Lindblad |
| checkarg | 0.1.0 | Check the Basic Validity of a (Function) Argument | Ivo Van Walle Developer |
| CheckDigit | 1.0.0 | Calculate and Verify Check Digits | Justin Brantley |
| checkdown | 0.0.12 | Check-Fields and Check-Boxes for 'rmarkdown' | George Moroz |
| checker | 0.1.3 | Checks 'R' Configuration Set Up Correctly Before Class | Richard J. Telford |
| checkglobals | 0.1.0 | Static Analysis of R-Code Dependencies | Joris Chau |
| checkhelper | 0.1.1 | Deal with Check Outputs | Sebastien Rochette |
| checkLuhn | 1.1.0 | Checks if a Number is Valid Using the Luhn Algorithm | Adam Deacon |
| checkmate | 2.3.1 | Fast and Versatile Argument Checks | Michel Lang |
| checkpoint | 1.0.2 | Install Packages from Snapshots on the Checkpoint Server for
Reproducibility | Folashade Daniel |
| checkthat | 0.1.0 | Intuitive Unit Testing Tools for Data Manipulation | Ian Cero |
| cheddar | 0.1-638 | Analysis and Visualisation of Ecological Communities | Lawrence Hudson |
| cheem | 0.4.0.0 | Interactively Explore Local Explanations with the Radial Tour | Nicholas Spyrison |
| cheese | 0.1.2 | Tools for Working with Data During Statistical Analysis | Alex Zajichek |
| chem.databases | 1.0.0 | Collection of 3 Chemical Databases from Public Sources | Irucka Embry |
| chem16S | 1.0.0 | Chemical Metrics of Community Reference Proteomes | Jeffrey Dick |
| chemCal | 0.2.3 | Calibration Functions for Analytical Chemistry | Johannes Ranke |
| chemdeg | 0.1.2 | Analysis of Chemical Degradation Kinetic Data | Matteo Migliorini |
| CHEMIST | 0.1.5 | Causal Inference with High-Dimensional Error-Prone Covariates
and Misclassified Treatments | Wei-Hsin Hsu |
| chemmodlab | 2.0.0 | A Cheminformatics Modeling Laboratory for Fitting and Assessing
Machine Learning Models | Jeremy Ash |
| chemodiv | 0.3.0 | Analysing Chemodiversity of Phytochemical Data | Hampus Petrén |
| chemometrics | 1.4.4 | Multivariate Statistical Analysis in Chemometrics | Peter Filzmoser |
| ChemoSpec | 6.1.10 | Exploratory Chemometrics for Spectroscopy | Bryan A. Hanson |
| ChemoSpec2D | 0.5.0 | Exploratory Chemometrics for 2D Spectroscopy | Bryan A. Hanson |
| ChemoSpecUtils | 1.0.4 | Functions Supporting Packages ChemoSpec and ChemoSpec2D | Bryan A. Hanson |
| ChernoffDist | 0.1.0 | Chernoff's Distribution | Haitian Xie |
| cherry | 0.6-14 | Multiple Testing Methods for Exploratory Research | Jelle Goeman |
| cherryblossom | 0.1.0 | Cherry Blossom Run Race Results | Mine Çetinkaya-Rundel |
| chess | 1.0.1 | Read, Write, Create and Explore Chess Games | C. Lente |
| chessboard | 0.1 | Create Network Connections Based on Chess Moves | Nicolas Casajus |
| chest | 0.3.7 | Change-in-Estimate Approach to Assess Confounding Effects | Zhiqiang Wang |
| chevron | 0.2.5 | Standard TLGs for Clinical Trials Reporting | Liming Li |
| CHFF | 0.1.0 | Closest History Flow Field Forecasting for Bivariate Time Series | Kyle A. Caudle |
| chi | 0.1 | The Chi Distribution | David Kahle |
| chicane | 0.1.8 | Capture Hi-C Analysis Engine | Syed Haider |
| childdevdata | 1.1.0 | Child Development Data | Stef van Buuren |
| childesr | 0.2.3 | Accessing the 'CHILDES' Database | Mika Braginsky |
| childfree | 0.0.1 | Access and Harmonize Childfree Demographic Data | Zachary Neal |
| childsds | 0.8.0 | Data and Methods Around Reference Values in Pediatrics | Mandy Vogel |
| chilemapas | 0.3.0 | Mapas de las Divisiones Politicas y Administrativas de Chile
(Maps of the Political and Administrative Divisions of Chile) | Mauricio Vargas |
| ChillModels | 1.0.2 | Processing Chill and Heat Models for Temperate Fruit Trees | Rafael Henrique Pertille |
| chillR | 0.75 | Statistical Methods for Phenology Analysis in Temperate Fruit
Trees | Eike Luedeling |
| chinese.misc | 0.2.3 | Miscellaneous Tools for Chinese Text Mining and More | Jiang Wu |
| ChineseNames | 2023.8 | Chinese Name Database 1930-2008 | Han-Wu-Shuang Bao |
| chipPCR | 1.0-2 | Toolkit of Helper Functions to Pre-Process Amplification Data | Stefan Roediger |
| ChIPtest | 1.0 | Nonparametric Methods for Identifying Differential Enrichment
Regions with ChIP-Seq Data | Vicky Qian Wu |
| chirps | 0.1.4 | API Client for CHIRPS and CHIRTS | Kauê de Sousa |
| chisq.posthoc.test | 0.1.2 | A Post Hoc Analysis for Pearson's Chi-Squared Test for Count
Data | Daniel Ebbert |
| chisquare | 0.9 | Chi-Square and G-Square Test of Independence, Power and Residual
Analysis, Measures of Categorical Association | Gianmarco Alberti |
| chk | 0.9.1 | Check User-Supplied Function Arguments | Joe Thorley |
| chkptstanr | 0.1.1 | Checkpoint MCMC Sampling with 'Stan' | Donald Williams |
| chlorpromazineR | 0.2.0 | Convert Antipsychotic Doses to Chlorpromazine Equivalents | Eric Brown |
| CHMM | 0.1.1 | Coupled Hidden Markov Models | Julie Aubert |
| CHNCapitalStock | 0.1.1 | Compute Chinese Capital Stocks | Pu Chen |
| chngpt | 2023.11-29 | Estimation and Hypothesis Testing for Threshold Regression | Youyi Fong |
| CHNOSZ | 2.1.0 | Thermodynamic Calculations and Diagrams for Geochemistry | Jeffrey Dick |
| choiceDes | 0.9-3 | Design Functions for Choice Studies | Jack Horne |
| ChoiceModelR | 1.3.0 | Choice Modeling in R | John V Colias |
| CHOIRBM | 0.0.2 | Plots the CHOIR Body Map | Eric Cramer |
| cholera | 0.8.0 | Amend, Augment and Aid Analysis of John Snow's Cholera Map | Peter Li |
| CholWishart | 1.1.2 | Cholesky Decomposition of the Wishart Distribution | Geoffrey Thompson |
| choosepc | 1.0 | Choose the Number of Principal Components via Recistruction
Error | Michail Tsagris |
| choplump | 1.1.2 | Permutation Test for Some Positive and Many Zero Responses | Michael P. Fay |
| chopthin | 0.2.2 | The Chopthin Resampler | Axel Gandy |
| ChoR | 0.0-4 | Chordalysis R Package | Matthieu Herrmann |
| chords | 0.95.4 | Estimation in Respondent Driven Samples | Jonathan Rosenblatt |
| choroplethr | 3.7.3 | Simplify the Creation of Choropleth Maps in R | Ari Lamstein |
| choroplethrAdmin1 | 1.1.1 | Contains an Administrative-Level-1 Map of the World | Ari Lamstein |
| choroplethrMaps | 1.0.1 | Contains Maps Used by the 'choroplethr' Package | Ari Lamstein |
| chouca | 0.1.99 | A Stochastic Cellular Automaton Engine | Alexandre Genin |
| christmas | 1.3.0 | Generation of Different Animated Christmas Cards | Jose Barrera-Gomez |
| chromConverter | 0.2.1 | Chromatographic File Converter | Ethan Bass |
| chromer | 0.8 | Interface to Chromosome Counts Database API | Karl W Broman |
| chromoMap | 4.1.1 | Interactive Genomic Visualization of Biological Data | Lakshay Anand |
| chromote | 0.2.0 | Headless Chrome Web Browser Interface | Winston Chang |
| chromseq | 0.1.3 | Split Chromosome 'Fasta' File | Shaoqian Ma <897341109 at qq.com> |
| chron | 2.3-61 | Chronological Objects which Can Handle Dates and Times | Kurt Hornik |
| chronicle | 0.3 | Grammar for Creating R Markdown Reports | Philippe Heymans Smith |
| chronicler | 0.2.2 | Add Logging to Functions | Bruno Rodrigues |
| chronochrt | 0.1.3 | Creating Chronological Charts | Thomas Rose |
| chronosphere | 0.6.1 | Evolving Earth System Variables | Adam T. Kocsis |
| chunked | 0.6.0 | Chunkwise Text-File Processing for 'dplyr' | Edwin de Jonge |
| chunkhooks | 0.0.1 | Chunk Hooks for 'R Markdown' | Atsushi Yasumoto |
| chunkR | 1.1.1 | Read Tables in Chunks | Leandro Roser |
| chyper | 0.3.1 | Functions for Conditional Hypergeometric Distributions | William Nickols |
| CIAAWconsensus | 1.3 | Isotope Ratio Meta-Analysis | Juris Meija |
| CIARA | 0.1.0 | Cluster Independent Algorithm for Rare Cell Types Identification | Gabriele Lubatti
|
| CICA | 1.0.2 | Clusterwise Independent Component Analysis | Jeffrey Durieux |
| ciCalibrate | 0.42.2 | Calibration of Confidence Intervals to Support Intervals | Samuel Pawel |
| ciccr | 0.3.0 | Causal Inference in Case-Control and Case-Population Studies | Sokbae Lee |
| cicerone | 1.0.4 | Provide Tours of 'Shiny' Applications | John Coene |
| CICI | 0.9.1 | Causal Inference with Continuous (Multiple Time Point)
Interventions | Michael Schomaker |
| CIEE | 0.1.1 | Estimating and Testing Direct Effects in Directed Acyclic Graphs
using Estimating Equations | Stefan Konigorski |
| cif | 0.1.1 | Cointegrated ICU Forecasting | Paolo Paruolo |
| CIfinder | 1.0.2 | Estimate the Confidence Intervals for Predictive Values | Dadong Zhang |
| cifti | 0.4.5 | Toolbox for Connectivity Informatics Technology Initiative
('CIFTI') Files | John Muschelli |
| ciftiTools | 0.14.0 | Tools for Reading, Writing, Viewing and Manipulating CIFTI Files | Amanda Mejia |
| CIM | 1.0.0 | Compositional Impact of Migration | Nikos Patias |
| cimir | 0.4-1 | Interface to the CIMIS Web API | Michael Koohafkan |
| CIMTx | 1.2.0 | Causal Inference for Multiple Treatments with a Binary Outcome | Jiayi Ji |
| cinaR | 0.2.3 | A Computational Pipeline for Bulk 'ATAC-Seq' Profiles | Onur Karakaslar |
| cinaRgenesets | 0.1.1 | Ready-to-Use Curated Gene Sets for 'cinaR' | Onur Karakaslar |
| CINE | 0.1.3 | Classification International Normalized of Education | Jorge L. C. Musaja |
| CINID | 1.3-0 | Curculionidae INstar IDentification | Aurelie Siberchicot |
| CINmetrics | 0.1.0 | Calculate Chromosomal Instability Metrics | Vishal H. Oza |
| CINNA | 1.2.2 | Deciphering Central Informative Nodes in Network Analysis | Minoo Ashtiani |
| cinterpolate | 1.0.1 | Interpolation From C | Rich FitzJohn |
| CIPerm | 0.2.3 | Computationally-Efficient Confidence Intervals for Mean Shift
from Permutation Methods | Jerzy Wieczorek |
| cipheR | 1.0.0 | Encryption and Decryption with Text Ciphers | Gus Lipkin |
| CIplot | 1.0 | Functions to Plot Confidence Interval | Toshiaki Ara |
| cir | 2.3.1 | Centered Isotonic Regression and Dose-Response Utilities | Assaf P. Oron |
| circacompare | 0.2.0 | Analyses of Circadian Data | Rex Parsons |
| circle | 0.7.2 | R Client Package for Circle CI | Patrick Schratz |
| CirclesIntersections | 1.1 | Algorithm for Computation of the Intersection Areas of N Circles | Hugo Salinas |
| circlesplot | 1.1.0 | Visualize Proportions with Circles in a Plot | BenSt099 |
| circletyper | 1.0.2 | Curve Text Elements in 'Shiny' Using 'CircleType.js' | Etienne Bacher |
| circlize | 0.4.16 | Circular Visualization | Zuguang Gu |
| CircMLE | 0.3.0 | Maximum Likelihood Analysis of Circular Data | Robert Fitak |
| CircNNTSR | 2.3 | Statistical Analysis of Circular Data using Nonnegative
Trigonometric Sums (NNTS) Models | Maria Mercedes Gregorio-Dominguez |
| CircNNTSRmult | 0.1.0 | Multivariate Circular Data using MNNTS Models | Maria Mercedes Gregorio-Dominguez |
| CircOutlier | 3.2.3 | Detection of Outliers in Circular-Circular Regression | Azade Ghazanfarihesari |
| CircSpaceTime | 0.9.0 | Spatial and Spatio-Temporal Bayesian Model for Circular Data | Mario Santoro |
| CircStats | 0.2-6 | Circular Statistics, from "Topics in Circular Statistics" (2001) | Claudio Agostinelli |
| circular | 0.5-0 | Circular Statistics | Eduardo García-Portugués |
| CircularDDM | 0.1.0 | Circular Drift-Diffusion Model | Yi-Shin Lin |
| circularEV | 0.1.1 | Extreme Value Analysis for Circular Data | Evandro Konzen |
| CircularSilhouette | 0.0.1 | Fast Silhouette on Circular or Linear Data Clusters | Joe Song |
| circumplex | 0.3.10 | Analysis and Visualization of Circular Data | Jeffrey Girard |
| cIRT | 1.3.2 | Choice Item Response Theory | James Joseph Balamuta |
| CIS.DGLM | 0.1.0 | Covariates, Interaction, and Selection for DGLM | Yishi Wang |
| CITAN | 2022.1.1 | CITation ANalysis Toolpack | Marek Gagolewski |
| citation | 0.8.2 | Software Citation Tools | Jan Philipp Dietrich |
| citationchaser | 0.0.4 | Perform Forward and Backwards Chasing in Evidence Syntheses | Neal Haddaway |
| citecorp | 0.3.0 | Client for the Open Citations Corpus | Scott Chamberlain |
| cities | 0.1.3 | Clinical Trials with Intercurrent Events Simulator | Ahmad Hakeem Abdul Wahab |
| cito | 1.1 | Building and Training Neural Networks | Maximilian Pichler |
| ciTools | 0.6.1 | Confidence or Prediction Intervals, Quantiles, and Probabilities
for Statistical Models | John Haman |
| citrus | 1.0.2 | Customer Intelligence Tool for Rapid Understandable Segmentation | Dom Clarke |
| ciu | 0.6.0 | Contextual Importance and Utility | Kary Främling |
| ciuupi2 | 1.0.1 | Kabaila and Giri (2009) Confidence Interval | Paul Kabaila |
| civ | 0.1.0 | Categorical Instrumental Variables | Thomas Wiemann |
| civis | 3.1.2 | R Client for the 'Civis Platform API' | Peter Cooman |
| ciw | 0.0.2 | Watch the CRAN Incoming Directories | Dirk Eddelbuettel |
| CJAMP | 0.1.1 | Copula-Based Joint Analysis of Multiple Phenotypes | Stefan Konigorski |
| cjar | 0.1.2 | R Client for 'Customer Journey Analytics' ('CJA') API | Ben Woodard |
| cjbart | 0.3.2 | Heterogeneous Effects Analysis of Conjoint Experiments | Thomas Robinson |
| CJIVE | 0.1.0 | Canonical Joint and Individual Variation Explained (CJIVE) | Raphiel Murden |
| cjoint | 2.1.1 | AMCE Estimator for Conjoint Experiments | Anton Strezhnev |
| ckanr | 0.7.0 | Client for the Comprehensive Knowledge Archive Network ('CKAN')
API | Francisco Alves |
| CKAT | 0.1.0 | Composite Kernel Association Test for Pharmacogenetics Studies | Hong Zhang |
| CKLRT | 0.2.3 | Composite Kernel Machine Regression Based on Likelihood Ratio
Test | Haoyu Zhang |
| Ckmeans.1d.dp | 4.3.5 | Optimal, Fast, and Reproducible Univariate Clustering | Joe Song |
| CKMRpop | 0.1.3 | Forward-in-Time Simulation and Tallying of Pairwise
Relationships | Eric C. Anderson |
| CLA | 0.96-2 | Critical Line Algorithm in Pure R | Martin Maechler |
| Claddis | 0.6.3 | Measuring Morphological Diversity and Evolutionary Tempo | Graeme T. Lloyd |
| cladoRcpp | 0.15.1 | C++ Implementations of Phylogenetic Cladogenesis Calculations | Nicholas J. Matzke |
| ClaimsProblems | 0.2.1 | Analysis of Conflicting Claims | Iago Núñez Lugilde |
| clam | 2.5.0 | Classical Age-Depth Modelling of Cores from Deposits | Maarten Blaauw |
| ClamR | 2.1-3 | Time Series Modeling for Climate Change Proxies | Jonathan M. Lees |
| clarabel | 0.5.1 | Interior Point Conic Optimization Solver | Balasubramanian Narasimhan |
| clarifai | 0.4.2 | Access to Clarifai API | Gaurav Sood |
| clarify | 0.2.0 | Simulation-Based Inference for Regression Models | Noah Greifer |
| class | 7.3-22 | Functions for Classification | Brian Ripley |
| ClassComparison | 3.1.8 | Classes and Methods for "Class Comparison" Problems on
Microarrays | Kevin R. Coombes |
| ClassDiscovery | 3.4.0 | Classes and Methods for "Class Discovery" with Microarrays or
Proteomics | Kevin R. Coombes |
| classGraph | 0.7-6 | Construct Graphs of S4 Class Hierarchies | Martin Maechler |
| classifierplots | 1.4.0 | Generates a Visualization of Classifier Performance as a Grid of
Diagnostic Plots | Aaron Defazio |
| classifly | 0.4.1 | Explore Classification Models in High Dimensions | Hadley Wickham |
| classInt | 0.4-10 | Choose Univariate Class Intervals | Roger Bivand |
| classmap | 1.2.3 | Visualizing Classification Results | Jakob Raymaekers |
| CLAST | 1.0.1 | Exact Confidence Limits after a Sequential Trial | Chris J. Lloyd |
| cld2 | 1.2.4 | Google's Compact Language Detector 2 | Jeroen Ooms |
| cld3 | 1.6.0 | Google's Compact Language Detector 3 | Jeroen Ooms |
| clda | 0.1 | Convolution-Based Linear Discriminant Analysis | Grover E. Castro Guzman |
| clean | 2.0.0 | Fast and Easy Data Cleaning | Matthijs S. Berends |
| CleanBSequences | 1.4.0 | Curing of Biological Sequences | Florencia I. Pozzi |
| cleancall | 0.1.3 | C Resource Cleanup via Exit Handlers | Gábor Csárdi |
| cleandata | 0.3.0 | To Inspect and Manipulate Data; and to Keep Track of This
Process | Sherry Zhao |
| cleaner | 1.5.4 | Fast and Easy Data Cleaning | Matthijs S. Berends |
| cleangeo | 0.3-1 | Cleaning Geometries from Spatial Objects | Emmanuel Blondel |
| cleanNLP | 3.0.7 | A Tidy Data Model for Natural Language Processing | Taylor B. Arnold |
| cleanr | 1.4.0 | Helps You to Code Cleaner | Andreas Dominik Cullmann |
| cleanrmd | 0.1.1 | Clean Class-Less 'R Markdown' HTML Documents | Garrick Aden-Buie |
| cleanTS | 0.1.2 | Testbench for Univariate Time Series Cleaning | Mayur Shende |
| cleaR | 0.0.4 | Clean the R Console and Environment | Jonathan M. Mang |
| clespr | 1.1.2 | Composite Likelihood Estimation for Spatial Data | Ting Fung (Ralph) Ma |
| clevr | 0.1.2 | Clustering and Link Prediction Evaluation in R | Neil Marchant |
| clhs | 0.9.0 | Conditioned Latin Hypercube Sampling | Pierre Roudier |
| cli | 3.6.2 | Helpers for Developing Command Line Interfaces | Gábor Csárdi |
| cliapp | 0.1.1 | Create Rich Command Line Applications | Gábor Csárdi |
| clickb | 0.1 | Web Data Analysis by Bayesian Mixture of Markov Models | Furio Urso |
| ClickClust | 1.1.6 | Model-Based Clustering of Categorical Sequences | Volodymyr Melnykov |
| ClickClustCont | 0.1.7 | Mixtures of Continuous Time Markov Models | Michael P.B. Gallaugher |
| ClickHouseHTTP | 0.3.2 | A Simple HTTP Database Interface to 'ClickHouse' | Patrice Godard |
| clickR | 0.9.39 | Semi-Automatic Preprocessing of Messy Data with Change Tracking
for Dataset Cleaning | David Hervas Marin |
| clickstream | 1.3.3 | Analyzes Clickstreams Based on Markov Chains | Michael Scholz |
| clidamonger | 1.1.0 | Monthly Climate Data for Germany, Usable for Heating and Cooling
Calculations | Jens Calisti |
| clidatajp | 0.5.2 | Data from Japan Meteorological Agency | Toshikazu Matsumura |
| cliff | 0.1.2 | Execute Command Line Programs Interactively | Randy Lai |
| clifford | 1.0-8 | Arbitrary Dimensional Clifford Algebras | Robin K. S. Hankin |
| clifro | 3.2-5 | Easily Download and Visualise Climate Data from CliFlo | Blake Seers |
| CliftLRD | 0.1-1 | Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent
for Irregularly Sampled Time Series | Matt Nunes |
| clikcorr | 1.0 | Censoring Data and Likelihood-Based Correlation Estimation | Yanming Li |
| climaemet | 1.2.1 | Climate AEMET Tools | Diego Hernangómez |
| climateStability | 0.1.4 | Estimating Climate Stability from Climate Model Data | Hannah Owens |
| climatol | 4.1.0 | Climate Tools (Series Homogenization and Derived Products) | Jose A. Guijarro |
| climatrends | 0.5 | Climate Variability Indices for Ecological Modelling | Kauê de Sousa |
| ClimClass | 2.1.0 | Climate Classification According to Several Indices | Emanuele Eccel |
| CLimd | 0.1.0 | Generating Rainfall Rasters from IMD NetCDF Data | Nobin Chandra Paul |
| clime | 0.5.0 | Constrained L1-Minimization for Inverse (Covariance) Matrix
Estimation | Xi (Rossi) Luo |
| climenv | 1.0.0 | Download, Extract and Visualise Climate and Elevation Data | James L. Tsakalos |
| climetrics | 1.0-12 | Climate Change Metrics | Shirin Taheri |
| climextRemes | 0.3.1 | Tools for Analyzing Climate Extremes | Christopher Paciorek |
| ClimInd | 0.1-3 | Climate Indices | Fergus Reig-Gracia |
| ClimMobTools | 1.2 | API Client for the 'ClimMob' Platform | Kauê de Sousa |
| ClimProjDiags | 0.3.3 | Set of Tools to Compute Various Climate Indices | Victòria Agudetse |
| climwin | 1.2.3 | Climate Window Analysis | Liam D. Bailey |
| clinDataReview | 1.5.0 | Clinical Data Review Tool | Laure Cougnaud |
| clinDR | 2.4.1 | Simulation and Analysis Tools for Clinical Dose Response
Modeling | Neal Thomas |
| clinfun | 1.1.5 | Clinical Trial Design and Data Analysis Functions | Venkatraman E. Seshan |
| clinicalsignificance | 2.0.0 | A Toolbox for Clinical Significance Analyses in Intervention
Studies | Benedikt Claus |
| ClinicalTrialSummary | 1.1.1 | Summary Measures for Clinical Trials with Survival Outcomes | Daewoo Pak |
| ClinicalUtilityRecal | 0.1.0 | Recalibration Methods for Improved Clinical Utility of Risk
Scores | Anu Mishra |
| clinmon | 0.6.0 | Hemodynamic Calculations from Clinical Monitoring | Markus Harboe Olsen |
| clinPK | 0.13.0 | Clinical Pharmacokinetics Toolkit | Ron Keizer |
| clinsig | 1.2 | Clinical Significance Functions | Jim Lemon |
| ClinSigMeasures | 1.0 | Clinical Significance Measures | Mike Malek-Ahmadi |
| clinspacy | 1.0.2 | Clinical Natural Language Processing using 'spaCy', 'scispaCy',
and 'medspaCy' | Karandeep Singh |
| clintools | 0.9.10.1 | Tools for Clinical Research | Markus Harboe Olsen |
| clinUtils | 0.1.4 | General Utility Functions for Analysis of Clinical Data | Laure Cougnaud |
| cliot | 0.2.0 | Clinical Indices and Outcomes Tools | Neel Agarwal |
| clipp | 1.1.1 | Calculating Likelihoods by Pedigree Paring | James Dowty |
| clipr | 0.8.0 | Read and Write from the System Clipboard | Matthew Lincoln |
| CliquePercolation | 0.4.0 | Clique Percolation for Networks | Jens Lange |
| clisymbols | 1.2.0 | Unicode Symbols at the R Prompt | Gábor Csárdi |
| CLME | 2.0-12 | Constrained Inference for Linear Mixed Effects Models | Casey M. Jelsema |
| clmplus | 0.1.0 | Tool-Box of Chain Ladder Plus Models | Gabriele Pittarello |
| clock | 0.7.0 | Date-Time Types and Tools | Davis Vaughan |
| clockify | 0.1.4 | A Wrapper for the 'Clockify' API | Andrew B. Collier |
| clogitboost | 1.1 | Boosting Conditional Logit Model | Haolun Shi |
| clogitL1 | 1.5 | Fitting Exact Conditional Logistic Regression with Lasso and
Elastic Net Penalties | Stephen Reid |
| clogitLasso | 1.1 | Sparse Conditional Logistic Regression for Matched Studies | Marta Avalos |
| cloneRate | 0.2.3 | Estimate Growth Rates from Phylogenetic Trees | Brian Johnson |
| CloneSeeker | 1.0.11 | Seeking and Finding Clones in Copy Number and Sequencing Data | Kevin R. Coombes |
| CLONETv2 | 2.2.1 | Clonality Estimates in Tumor | Yari Ciani |
| clordr | 1.7.0 | Composite Likelihood Inference and Diagnostics for Replicated
Spatial Ordinal Data | Ting Fung (Ralph) Ma |
| cloudfs | 0.1.2 | Streamlined Interface to Interact with Cloud Storage Platforms | Iaroslav Domin |
| cloudml | 0.6.1 | Interface to the Google Cloud Machine Learning Platform | Daniel Falbel |
| cloudos | 0.4.0 | R Client Library for CloudOS | Sangram Keshari Sahu |
| cloudstoR | 0.2.0 | Simplifies Access to Cloudstor API | Taren Sanders |
| cloudUtil | 0.1.12 | Cloud Utilization Plots | Christian Panse |
| clpm | 1.0 | Constrained Estimation of Linear Probability Model | Andrea Beci |
| clptheory | 0.1.0 | Compute Price of Production and Labor Values | Deepankar Basu |
| clr | 0.1.2 | Curve Linear Regression via Dimension Reduction | Amandine Pierrot |
| CLSIEP15 | 0.1.0 | Clinical and Laboratory Standards Institute (CLSI) EP15-A3
Calculations | Claucio Antonio Rank Filho |
| clttools | 1.3 | Central Limit Theorem Experiments (Theoretical and Simulation) | Simiao Ye |
| clubpro | 0.6.0 | Classification Using Binary Procrustes Rotation | Timothy Beechey |
| clubSandwich | 0.5.10 | Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections | James Pustejovsky |
| clue | 0.3-65 | Cluster Ensembles | Kurt Hornik |
| ClueR | 1.4.2 | Cluster Evaluation | Pengyi Yang |
| clugenr | 1.0.3 | Multidimensional Cluster Generation Using Support Lines | Nuno Fachada |
| CluMP | 0.8.1 | Clustering of Micro Panel Data | Jan Fojtik <9afojtik at gmail.com> |
| ClusBoot | 1.2.1 | Bootstrap a Clustering Solution to Establish the Stability of
the Clusters | Sugnet Lubbe |
| cluscov | 1.1.0 | Clustered Covariate Regression | Emmanuel S Tsyawo |
| clusEvol | 1.0.0 | A Procedure for Cluster Evolution Analytics | Víctor Morales-Oñate |
| ClusPred | 1.1.0 | Simultaneous Semi-Parametric Estimation of Clustering and
Regression | Matthieu Marbac |
| clusrank | 1.0-4 | Wilcoxon Rank Tests for Clustered Data | Wenjie Wang |
| ClusROC | 1.0.2 | ROC Analysis in Three-Class Classification Problems for
Clustered Data | Duc-Khanh To |
| ClussCluster | 0.1.0 | Simultaneous Detection of Clusters and Cluster-Specific Genes in
High-Throughput Transcriptome Data | Li Jun |
| clust.bin.pair | 0.1.2 | Statistical Methods for Analyzing Clustered Matched Pair Data | Dan Gopstein |
| clustAnalytics | 0.5.5 | Cluster Evaluation on Graphs | Martí Renedo Mirambell |
| ClustAssess | 0.3.0 | Tools for Assessing Clustering | Arash Shahsavari |
| ClustBlock | 3.2.0 | Clustering of Datasets | Fabien Llobell |
| clustDRM | 0.1-0 | Clustering Dose-Response Curves and Fitting Appropriate Models
to Them | Vahid Nassiri |
| clustEff | 0.3.1 | Clusters of Effects Curves in Quantile Regression Models | Gianluca Sottile |
| cluster | 2.1.6 | "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al. | Martin Maechler |
| cluster.datasets | 1.0-1 | Cluster Analysis Data Sets | Frederick Novomestky |
| Cluster.OBeu | 1.2.3 | Cluster Analysis 'OpenBudgets.eu' | Kleanthis Koupidis |
| clusterability | 0.1.1.0 | Performs Tests for Cluster Tendency of a Data Set | Zachariah Neville |
| ClusterBootstrap | 1.1.2 | Analyze Clustered Data with Generalized Linear Models using the
Cluster Bootstrap | Mathijs Deen |
| clusterCons | 1.2 | Consensus Clustering using Multiple Algorithms and Parameters | Dr. T. Ian Simpson |
| clusterCrit | 1.3.0 | Clustering Indices | Iago Giné-Vázquez |
| clusteredinterference | 1.0.1 | Causal Effects from Observational Studies with Clustered
Interference | Brian G. Barkley |
| ClusteredMutations | 1.0.1 | Location and Visualization of Clustered Somatic Mutations | David Lora |
| clusterGeneration | 1.3.8 | Random Cluster Generation (with Specified Degree of Separation) | Weiliang Qiu |
| clusterhap | 0.1 | Clustering Genotypes in Haplotypes | Gaston Quero |
| clusterHD | 1.0.2 | Tools for Clustering High-Dimensional Data | Jakob Raymaekers |
| Clustering | 1.7.7 | Techniques for Evaluating Clustering | Luis Alfonso Perez Martos |
| clustering.sc.dp | 1.1 | Optimal Distance-Based Clustering for Multidimensional Data with
Sequential Constraint | Tibor Szkaliczki |
| clusterMI | 1.0.0 | Cluster Analysis with Missing Values by Multiple Imputation | Vincent Audigier |
| clustermole | 1.1.1 | Unbiased Single-Cell Transcriptomic Data Cell Type
Identification | Igor Dolgalev |
| clustermq | 0.9.4 | Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM,
PBS/Torque) | Michael Schubert |
| clusternomics | 0.1.1 | Integrative Clustering for Heterogeneous Biomedical Datasets | Evelina Gabasova |
| ClusterR | 1.3.2 | Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering | Lampros Mouselimis |
| ClusterRankTest | 1.0 | Rank Tests for Clustered Data | Sandipan Dutta |
| clusterRepro | 0.9 | Reproducibility of Gene Expression Clusters | Rob Tibshirani |
| clusterSEs | 2.6.5 | Calculate Cluster-Robust p-Values and Confidence Intervals | Justin Esarey |
| clusterSim | 0.51-3 | Searching for Optimal Clustering Procedure for a Data Set | Andrzej Dudek |
| ClusterStability | 1.0.4 | Assessment of Stability of Individual Objects or Clusters in
Partitioning Solutions | Etienne Lord |
| clustertend | 1.7 | Check the Clustering Tendency | Kevin Wright |
| ClustGeo | 2.1 | Hierarchical Clustering with Spatial Constraints | Marie Chavent |
| ClustImpute | 0.2.4 | K-Means Clustering with Build-in Missing Data Imputation | Oliver Pfaffel |
| clustlearn | 1.0.0 | Learn Clustering Techniques Through Examples and Code | Eduardo Ruiz Sabajanes |
| clustMD | 1.2.1 | Model Based Clustering for Mixed Data | Damien McParland |
| clustMixType | 0.3-14 | k-Prototypes Clustering for Mixed Variable-Type Data | Gero Szepannek |
| clustNet | 1.2.0 | Network-Based Clustering | Fritz Bayer |
| ClustOfVar | 1.1 | Clustering of Variables | Marie Chavent |
| ClusTorus | 0.2.2 | Prediction and Clustering on the Torus by Conformal Prediction | Seungki Hong |
| clustra | 0.2.1 | Clustering Longitudinal Trajectories | George Ostrouchov |
| clusTransition | 1.0 | Monitor Changes in Cluster Solutions of Dynamic Datasets | Muhammad Atif |
| clustrd | 1.4.0 | Methods for Joint Dimension Reduction and Clustering | Angelos Markos |
| clustree | 0.5.1 | Visualise Clusterings at Different Resolutions | Luke Zappia |
| clustringr | 1.0 | Cluster Strings by Edit-Distance | Dan S. Reznik |
| CLUSTShiny | 0.1.0 | Interactive Document for Working with Cluster Analysis | Kartikeya Bolar |
| ClustVarLV | 2.1.1 | Clustering of Variables Around Latent Variables | Evelyne Vigneau |
| clustvarsel | 2.3.4 | Variable Selection for Gaussian Model-Based Clustering | Luca Scrucca |
| ClusVis | 1.2.0 | Gaussian-Based Visualization of Gaussian and Non-Gaussian
Model-Based Clustering | Matthieu Marbac |
| clv | 0.3-2.4 | Cluster Validation Techniques | Lukasz Nieweglowski |
| clValid | 0.7 | Validation of Clustering Results | Vasyl Pihur |
| CLVTools | 0.10.0 | Tools for Customer Lifetime Value Estimation | Patrick Bachmann |
| cmaes | 1.0-12 | Covariance Matrix Adapting Evolutionary Strategy | Olaf Mersmann |
| cmaesr | 1.0.3 | Covariance Matrix Adaptation Evolution Strategy | Jakob Bossek |
| cmahalanobis | 0.1.0 | Calculate the Mahalanobis Distance for a Given List of Data
Frames with Factors | Flavio Gioia |
| CMAPSS | 0.1.1 | Commercial Modular Aero-Propulsion System Simulation Data Set | Morteza Amini |
| CMapViz | 0.1.0 | Representation Tool For Output Of Connectivity Map (CMap)
Analysis | Raphaël Bonnet |
| cmaRs | 0.1.3 | Implementation of the Conic Multivariate Adaptive Regression
Splines in R | Ceyda Yazici |
| cmbClust | 0.0.1 | Conditional Mixture Modeling and Model-Based Clustering | Yang Wang |
| cmce | 0.1.0 | Computer Model Calibration for Deterministic and Stochastic
Simulators | Matthew T. Pratola |
| cmcR | 0.1.11 | An Implementation of the 'Congruent Matching Cells' Method | Joe Zemmels |
| cmdfun | 1.0.2 | Framework for Building Interfaces to Shell Commands | Spencer Nystrom |
| cmenet | 0.1.2 | Bi-Level Selection of Conditional Main Effects | Simon Mak |
| CMF | 1.0.3 | Collective Matrix Factorization | Felix Held |
| cmfrec | 3.5.1-3 | Collective Matrix Factorization for Recommender Systems | David Cortes |
| CMFsurrogate | 1.0 | Calibrated Model Fusion Approach to Combine Surrogate Markers | Layla Parast |
| cmhc | 0.2.7 | Access, Retrieve, and Work with CMHC Data | Jens von Bergmann |
| CMHNPA | 1.1.1 | Cochran-Mantel-Haenszel and Nonparametric ANOVA | G. C. Livingston Jr |
| cml | 0.2.2 | Conditional Manifold Learning | Anh Tuan Bui |
| CMLS | 1.0-1 | Constrained Multivariate Least Squares | Nathaniel E. Helwig |
| cmm | 1.0 | Categorical Marginal Models | L. A. van der Ark |
| cmmr | 0.1.2 | CEU Mass Mediator RESTful API | Yaoxiang Li |
| CMMs | 1.0.0 | Compositional Mediation Model | Ziqiang Lin |
| cmna | 1.0.5 | Computational Methods for Numerical Analysis | James Howard |
| cmocean | 0.3-1 | Beautiful Colour Maps for Oceanography | Ivan Krylov |
| CMplot | 4.5.1 | Circle Manhattan Plot | LiLin-Yin |
| cmprsk | 2.2-11 | Subdistribution Analysis of Competing Risks | Bob Gray |
| cmprskcoxmsm | 0.2.1 | Use IPW to Estimate Treatment Effect under Competing Risks | Yiran Zhang |
| cmprskQR | 0.9.2 | Analysis of Competing Risks Using Quantile Regressions | Stephan Dlugosz |
| cmpsR | 0.1.2 | R Implementation of Congruent Matching Profile Segments Method | Wangqian Ju |
| cmR | 1.1 | Analysis of Cardiac Magnetic Resonance Images | Volker Schmid |
| cmrutils | 1.3.1 | Misc Functions of the Center for Mathematical Research | Andrey Paramonov |
| cms | 0.1.0 | Calculate Medicare Reimbursement | Vigneshwar Subramanian |
| cmsaf | 3.5.0 | A Toolbox for CM SAF NetCDF Data | Steffen Kothe |
| cmsafops | 1.3.0 | Tools for CM SAF NetCDF Data | Steffen Kothe |
| cmsafvis | 1.2.3 | Tools to Visualize CM SAF NetCDF Data | Steffen Kothe |
| CMShiny | 0.1.0 | Interactive Document for Working with Confusion Matrix | Kartikeya Bolar |
| cmstatr | 0.9.3 | Statistical Methods for Composite Material Data | Stefan Kloppenborg |
| cmtest | 0.1-2 | Conditional Moments Test | Yves Croissant |
| cmvnorm | 1.0-7 | The Complex Multivariate Gaussian Distribution | Robin K. S. Hankin |
| cna | 3.5.6 | Causal Modeling with Coincidence Analysis | Mathias Ambuehl |
| CNAIM | 2.1.4 | Common Network Asset Indices Methodology (CNAIM) | Mohsin Vindhani |
| cnaOpt | 0.5.2 | Optimizing Consistency and Coverage in Configurational Causal
Modeling | Mathias Ambuehl |
| cnbdistr | 1.0.1 | Conditional Negative Binomial Distribution | Xiaotian Zhu |
| cncaGUI | 1.1 | Canonical Non-Symmetrical Correspondence Analysis in R | Ana Belen Nieto Librero |
| CNID | 1.3.1 | Get Basic Information from Chinese ID Number | Xinyuan Chu |
| CNLTreg | 0.1-2 | Complex-Valued Wavelet Lifting for Signal Denoising | Matt Nunes |
| CNLTtsa | 0.1-2 | Complex-Valued Wavelet Lifting for Univariate and Bivariate Time
Series Analysis | Matt Nunes |
| cnmap | 0.1.0 | China Map Data from AutoNavi Map | Panfeng Zhang |
| cNORM | 3.0.4 | Continuous Norming | Wolfgang Lenhard |
| CNprep | 2.2 | Pre-Process DNA Copy Number (CN) Data for Detection of CN Events | Guoli Sun |
| CNPS | 1.0.0 | Nonparametric Statistics | JiaSheng Zhang |
| cnum | 0.1.3 | Chinese Numerals Processing | Elgar Teo |
| CNVRG | 1.0.0 | Dirichlet Multinomial Modeling of Relative Abundance Data | Joshua Harrison |
| CNVScope | 3.7.2 | A Versatile Toolkit for Copy Number Variation Relationship Data
Analysis and Visualization | James Dalgleish |
| coala | 0.7.2 | A Framework for Coalescent Simulation | Dirk Metzler |
| coalescentMCMC | 0.4-4 | MCMC Algorithms for the Coalescent | Emmanuel Paradis |
| coalitions | 0.6.24 | Bayesian "Now-Cast" Estimation of Event Probabilities in
Multi-Party Democracies | Andreas Bender |
| COAP | 1.1 | High-Dimensional Covariate-Augmented Overdispersed Poisson
Factor Model | Wei Liu |
| coarseDataTools | 0.6-6 | Analysis of Coarsely Observed Data | Nicholas G. Reich |
| CoastlineFD | 1.1.2 | Calculation of the Fractal Dimension of a Coastline | Zhao Shiqi |
| coat | 0.2.0 | Conditional Method Agreement Trees (COAT) | Alexander Hapfelmeier |
| cobalt | 4.5.5 | Covariate Balance Tables and Plots | Noah Greifer |
| cobiclust | 0.1.2 | Biclustering via Latent Block Model Adapted to Overdispersed
Count Data | Julie Aubert |
| cobs | 1.3-8 | Constrained B-Splines (Sparse Matrix Based) | Martin Maechler |
| coca | 1.1.0 | Cluster-of-Clusters Analysis | Alessandra Cabassi |
| cocktailApp | 0.2.3 | 'shiny' App to Discover Cocktails | Steven E. Pav |
| CoClust | 0.3-2 | Copula Based Cluster Analysis | Francesca Marta Lilja Di Lascio |
| coconots | 1.1.3 | Convolution-Closed Models for Count Time Series | Manuel Huth |
| COCONUT | 1.0.2 | COmbat CO-Normalization Using conTrols (COCONUT) | Timothy E Sweeney |
| cocor | 1.1-4 | Comparing Correlations | Birk Diedenhofen |
| cocorresp | 0.4-4 | Co-Correspondence Analysis Methods | Gavin L. Simpson |
| cocosoR | 0.1.0 | CoCoSo - Combined Compromise Solution Method for MCDA | Sergio Floquet |
| cocotest | 1.0.3 | Dependence Condition Test Using Ranked Correlation Coefficients | Jiangtao Gou |
| cocron | 1.0-1 | Statistical Comparisons of Two or more Alpha Coefficients | Birk Diedenhofen |
| coda | 0.19-4.1 | Output Analysis and Diagnostics for MCMC | Martyn Plummer |
| coda.base | 0.5.5 | A Basic Set of Functions for Compositional Data Analysis | Marc Comas-Cufí |
| coda4microbiome | 0.2.3 | Compositional Data Analysis for Microbiome Studies | Toni Susin |
| codacore | 0.0.4 | Learning Sparse Log-Ratios for Compositional Data | Elliott Gordon-Rodriguez |
| CoDaImpact | 0.1.0 | Interpreting CoDa Regression Models | Lukas Dargel |
| codalm | 0.1.2 | Transformation-Free Linear Regression for Compositional Outcomes
and Predictors | Jacob Fiksel |
| codaredistlm | 0.1.0 | Compositional Data Linear Models with Composition Redistribution | Ty Stanford |
| CodataGS | 1.43 | Genomic Prediction Using SNP Codata | Lars Ronnegard |
| cOde | 1.1.1 | Automated C Code Generation for 'deSolve', 'bvpSolve' | Daniel Kaschek |
| codebook | 0.9.2 | Automatic Codebooks from Metadata Encoded in Dataset Attributes | Ruben Arslan |
| codebookr | 0.1.8 | Create Codebooks from Data Frames | Brad Cannell |
| codebreaker | 1.0.1 | Retro Logic Game | Roland Krasser |
| codeCollection | 0.1.3 | Collection of Codes with Labels | Jari Haukka |
| codecountR | 0.0.4.0 | Counting Codes in a Text and Preparing Data for Analysis | Philippe Cohard |
| CodeDepends | 0.6.6 | Analysis of R Code for Reproducible Research and Code
Comprehension | Gabriel Becker |
| CodelistGenerator | 2.2.3 | Identify Relevant Clinical Codes and Evaluate Their Use | Edward Burn |
| codemeta | 0.1.1 | A Smaller 'codemetar' Package | Carl Boettiger |
| codemetar | 0.3.5 | Generate 'CodeMeta' Metadata for R Packages | Carl Boettiger |
| codename | 0.5.0 | Generation of Code Names for Organizations, People, Projects,
and Whatever Else | Steve Miller |
| codep | 0.9-1 | Multiscale Codependence Analysis | Guillaume Guenard |
| coder | 0.13.10 | Deterministic Categorization of Items Based on External Code
Data | Erik Bulow |
| codetools | 0.2-20 | Code Analysis Tools for R | Luke Tierney |
| codexcopd | 0.1.0 | The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous
Severe Exacerbations) Index: Short and Medium-Term Prognosis in
Patients Hospitalized for Chronic Obstructive Pulmonary Disease
(COPD) Exacerbations | Amin Adibi |
| codez | 1.0.0 | Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on
Tensorflow | Giancarlo Vercellino |
| codified | 0.3.0 | Produce Standard/Formalized Demographics Tables | Will Beasley |
| CoDiNA | 1.1.2 | Co-Expression Differential Network Analysis | Deisy Morselli Gysi |
| codingMatrices | 0.4.0 | Alternative Factor Coding Matrices for Linear Model Formulae | Bill Venables |
| codyn | 2.0.5 | Community Dynamics Metrics | Matthew B. Jones |
| coefa | 1.0.3 | Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices | Xijian Zheng |
| coefficientalpha | 0.7.2 | Robust Coefficient Alpha and Omega with Missing and Non-Normal
Data | Zhiyong Zhang |
| coefplot | 1.2.8 | Plots Coefficients from Fitted Models | Jared P. Lander |
| coenocliner | 0.2-3 | Coenocline Simulation | Gavin L. Simpson |
| coenoflex | 2.2-0 | Gradient-Based Coenospace Vegetation Simulator | David W. Roberts |
| cofad | 0.1.1 | Contrast Analyses for Factorial Designs | Markus Burkhardt |
| cofeatureR | 1.1.1 | Generate Cofeature Matrices | Fong Chun Chan |
| coffee | 0.3.0 | Chronological Ordering for Fossils and Environmental Events | Maarten Blaauw |
| CoFRA | 0.1002 | Complete Functional Regulation Analysis | Rune Matthiesen |
| coga | 1.2.2 | Convolution of Gamma Distributions | Chaoran Hu |
| coglasso | 1.0.2 | Collaborative Graphical Lasso - Multi-Omics Network
Reconstruction | Alessio Albanese |
| cogmapr | 0.9.3 | Cognitive Mapping Tools Based on Coding of Textual Sources | Frédéric M. Vanwindekens |
| cognitoR | 1.0.5 | Authentication for 'Shiny' Apps with 'Amazon Cognito' | Pablo Pagnone |
| CohensdpLibrary | 0.5.10 | Cohen's D_p Computation with Confidence Intervals | Denis Cousineau |
| CohortAlgebra | 0.2.0 | Use of Interval Algebra to Create New Cohort(s) from Existing
Cohorts | Gowtham Rao |
| cohortBuilder | 0.2.0 | Data Source Agnostic Filtering Tools | Krystian Igras |
| CohortExplorer | 0.1.0 | Explorer of Profiles of Patients in a Cohort | Gowtham Rao |
| CohortPlat | 1.0.5 | Simulation of Cohort Platform Trials for Combination Treatments | Elias Laurin Meyer |
| cohorts | 1.0.1 | Cohort Analysis Made Easy | Peer Christensen |
| CohortSurvival | 0.4.0 | Estimate Survival from Common Data Model Cohorts | Edward Burn |
| cohorttools | 0.1.6 | Cohort Data Analyses | Jari Haukka |
| coil | 1.2.4 | Contextualization and Evaluation of COI-5P Barcode Data | Cameron M. Nugent |
| CoImp | 1.0 | Copula Based Imputation Method | Francesca Marta Lilja Di Lascio |
| coin | 1.4-3 | Conditional Inference Procedures in a Permutation Test Framework | Torsten Hothorn |
| coinmarketcapr | 0.4 | Get 'Cryptocurrencies' Market Cap Prices from Coin Market Cap | AbdulMajedRaja RS |
| Coinprofile | 0.1.9 | Coincident Profile | Wilmer Martinez |
| COINr | 1.1.7 | Composite Indicator Construction and Analysis | William Becker |
| cointmonitoR | 0.1.0 | Consistent Monitoring of Stationarity and Cointegrating
Relationships | Philipp Aschersleben |
| cointReg | 0.2.0 | Parameter Estimation and Inference in a Cointegrating Regression | Philipp Aschersleben |
| cold | 2.0-3 | Count Longitudinal Data | M. Helena Goncalves |
| colf | 0.1.3 | Constrained Optimization on Linear Function | Theo Boutaris |
| collapse | 2.0.12 | Advanced and Fast Data Transformation | Sebastian Krantz |
| CollapseLevels | 0.3.0 | Collapses Levels, Computes Information Value and WoE | Krishanu Mukherjee |
| collapsibleTree | 0.1.8 | Interactive Collapsible Tree Diagrams using 'D3.js' | Adeel Khan |
| collateral | 0.5.2 | Quickly Evaluate Captured Side Effects | James Goldie |
| collatz | 1.0.0 | Functions Related to the Collatz/Syracuse/3n+1 Problem | Nathan Levett |
| collections | 0.3.7 | High Performance Container Data Types | Randy Lai |
| collidr | 0.1.3 | Check for Namespace Collisions Across Packages and Functions on
CRAN | Steve Condylios |
| collin | 0.0.4 | Visualization the Effects of Collinearity in Distributed Lag
Models and Other Linear Models | Jose Barrera-Gomez |
| collinear | 1.1.1 | Seamless Multicollinearity Management | Blas M. Benito |
| CollocInfer | 1.0.4 | Collocation Inference for Dynamic Systems | Giles Hooker |
| collpcm | 1.3 | Collapsed Latent Position Cluster Model for Social Networks | Jason Wyse |
| collUtils | 1.0.5 | Auxiliary Package for Package 'CollapsABEL' | Kaiyin Zhong |
| colmozzie | 1.1.1 | Dengue Cases and Climate Variables in Colombo Sri Lanka | Thiyanga Talagala |
| coloc | 5.2.3 | Colocalisation Tests of Two Genetic Traits | Chris Wallace |
| colocalization | 1.0.2 | Normalized Spatial Intensity Correlation | Hui Zhang |
| colocalized | 0.2.0 | Clusters of Colocalized Sequences | Stefan Golas |
| colocr | 0.1.1 | Conduct Co-Localization Analysis of Fluorescence Microscopy
Images | Mahmoud Ahmed |
| colorblindcheck | 1.0.2 | Check Color Palettes for Problems with Color Vision Deficiency | Jakub Nowosad |
| colorBlindness | 0.1.9 | Safe Color Set for Color Blindness | Jianhong Ou |
| colorDF | 0.1.7 | Colorful Data Frames in R Terminal | January Weiner |
| colordistance | 1.1.2 | Distance Metrics for Image Color Similarity | Hannah Weller |
| colorednoise | 1.1.2 | Simulate Temporally Autocorrelated Populations | July Pilowsky |
| colorfindr | 0.1.4 | Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format
Images | David Zumbach |
| colorhcplot | 1.3.1 | Colorful Hierarchical Clustering Dendrograms | Damiano Fantini |
| colorist | 0.1.2 | Coloring Wildlife Distributions in Space-Time | Matthew Strimas-Mackey |
| colorizer | 0.1.0 | Colorize Old Images Using the 'DeOldify' Image Colorization API | David Zumbach |
| colormap | 0.1.4 | Color Palettes using Colormaps Node Module | Bhaskar Karambelkar |
| ColorNameR | 0.1.0 | Give Colors a Name | Marco Sánchez Beeckman |
| colorpatch | 0.1.2 | Optimized Rendering of Fold Changes and Confidence Values | Andre Mueller |
| colorplane | 0.5.0 | Basic S4 Classes and Methods for Mapping Between Numeric Values
and Colors | Bradley R Buchsbaum |
| colorr | 1.0.0 | Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams | Charles Crabtree |
| colorRamp2 | 0.1.0 | Generate Color Mapping Functions | Zuguang Gu |
| colorRamps | 2.3.4 | Builds Color Tables | Gregory Jefferis |
| colors3d | 1.0.1 | Generate 2D and 3D Color Palettes | Matthew Kling |
| colorscience | 1.0.8 | Color Science Methods and Data | Glenn Davis |
| colorsGen | 1.0.0 | Generation of Random Colors | Stéphane Laurent |
| colorspace | 2.1-0 | A Toolbox for Manipulating and Assessing Colors and Palettes | Achim Zeileis |
| colorSpec | 1.5-0 | Color Calculations with Emphasis on Spectral Data | Glenn Davis |
| Colossus | 1.1.0 | "Risk Model Regression and Analysis with Complex Non-Linear
Models" | Eric Giunta |
| colouR | 0.1.1 | Create Colour Palettes from Images | Alan Inglis |
| colourlovers | 0.3.6 | R Client for the COLOURlovers API | Andrew Heiss |
| colourpicker | 1.3.0 | A Colour Picker Tool for Shiny and for Selecting Colours in
Plots | Dean Attali |
| colourvalues | 0.3.9 | Assigns Colours to Values | David Cooley |
| colourvision | 2.0.4 | Colour Vision Models | Felipe Malheiros Gawrysewski |
| COLP | 1.0.0 | Causal Discovery for Categorical Data with Label Permutation | Yang Ni |
| cols | 1.1 | Constrained Ordinary Least Squares | Michail Tsagris |
| cols4all | 0.7-1 | Colors for all | Martijn Tennekes |
| colt | 0.1.1 | Command-Line Color Themes | Stefan Fleck |
| comat | 0.9.5 | Creates Co-Occurrence Matrices of Spatial Data | Jakub Nowosad |
| comato | 1.1 | Analysis of Concept Maps and Concept Landscapes | Andreas Muehling |
| COMBAT | 0.0.4 | A Combined Association Test for Genes using Summary Statistics | Minghui Wang |
| combat.enigma | 1.0 | Fit and Apply ComBat Harmonization for ENIGMA | Joaquim Radua |
| combinat | 0.0-8 | combinatorics utilities | Vince Carey |
| combinationpvalues | 0.1.4 | Combination of Independent P-Values | Breya McGlown |
| combinatorics | 0.1.0 | Introduction to Some Combinatorial Relations | Anik Paul |
| combinedevents | 0.1.1 | Calculate Scores and Marks for Track and Field Combined Events | Katie Frank |
| CombinePortfolio | 0.4 | Estimation of Optimal Portfolio Weights by Combining Simple
Portfolio Strategies | Florian Ziel |
| combinIT | 2.0.0 | A Combined Interaction Test for Unreplicated Two-Way Tables | Hossein Haghbin |
| CombinS | 1.1-1 | Construction Methods of some Series of PBIB Designs | Mohamed Laib |
| combiroc | 0.3.4 | Selection and Ranking of Omics Biomarkers Combinations Made Easy | Riccardo L. Rossi |
| combiter | 1.0.3 | Combinatorics Iterators | Kota Mori |
| COMBO | 1.0.0 | Correcting Misclassified Binary Outcomes in Association Studies | Kimberly Hochstedler |
| comclim | 0.9.6 | Community Climate Statistics | Benjamin Blonder |
| cometExactTest | 0.1.5 | Exact Test from the Combinations of Mutually Exclusive
Alterations (CoMEt) Algorithm | Max Leiserson |
| cometr | 0.4.0 | 'Comet' API for R | Nimrod Lahav |
| comets | 0.0-1 | Covariance Measure Tests for Conditional Independence | Lucas Kook |
| comf | 0.1.12 | Models and Equations for Human Comfort Research | Marcel Schweiker |
| comFuncs | 0.0.6 | Commonly Used Functions for R Shiny Applications | Hanming Tu |
| ComICS | 1.0.4 | Computational Methods for Immune Cell-Type Subsets | Yael Steuerman |
| CoMiRe | 0.8 | Convex Mixture Regression | Antonio Canale |
| COMIX | 1.0.0 | Coarsened Mixtures of Hierarchical Skew Kernels | S. Gorsky |
| commafree | 0.1.0 | Call Functions Without Commas Between Arguments | Tomasz Kalinowski |
| CommKern | 1.0.1 | Network-Based Communities and Kernel Machine Methods | Alexandria Jensen |
| common | 1.1.3 | Solutions for Common Problems in Base R | David Bosak |
| CommonDataModel | 0.2.0 | OMOP CDM DDL and Documentation Generator | Clair Blacketer |
| CommonJavaJars | 1.1-0 | Useful Libraries for Building a Java Based GUI under R | Kornelius Rohmeyer |
| commonmark | 1.9.1 | High Performance CommonMark and Github Markdown Rendering in R | Jeroen Ooms |
| CommonMean.Copula | 1.0.4 | Common Mean Vector under Copula Models | Jia-Han Shih |
| commonsMath | 1.2.8 | JAR Files of the Apache Commons Mathematics Library | David B. Dahl |
| communication | 0.1 | Feature Extraction and Model Estimation for Audio of Human
Speech | Christopher Lucas |
| comorbidity | 1.0.7 | Computing Comorbidity Scores | Alessandro Gasparini |
| comorosmaps | 1.0.0 | Comoro Islands Maps | Housni Hassani |
| Comp2ROC | 1.1.4 | Compare Two ROC Curves that Intersect | Ana C. Braga |
| comparator | 0.1.2 | Comparison Functions for Clustering and Record Linkage | Neil Marchant |
| compare | 0.2-6 | Comparing Objects for Differences | Paul Murrell |
| compareC | 1.3.2 | Compare Two Correlated C Indices with Right-Censored Survival
Outcome | Le Kang |
| CompareCausalNetworks | 0.2.6.2 | Interface to Diverse Estimation Methods of Causal Networks | Christina Heinze-Deml |
| CompAREdesign | 2.3.1 | Statistical Functions for the Design of Studies with Composite
Endpoints | Marta Bofill Roig |
| compareDF | 2.3.5 | Do a Git Style Diff of the Rows Between Two Dataframes with
Similar Structure | Alex Joseph |
| compareGroups | 4.8.0 | Descriptive Analysis by Groups | Isaac Subirana |
| compareMCMCs | 0.5.0 | Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines | Perry de Valpine |
| CompareMultipleModels | 0.1.0 | Finding the Best Model Using Eight Metrics Values | Mr. Sandip Garai |
| comparer | 0.2.3 | Compare Output and Run Time | Collin Erickson |
| CompareTests | 1.2 | Correct for Verification Bias in Diagnostic Accuracy & Agreement | Hormuzd Katki |
| comparison | 1.0.8 | Multivariate Likelihood Ratio Calculation and Evaluation | James Curran |
| ComparisonSurv | 1.1.1 | Comparison of Survival Curves Between Two Groups | Zheng Chen |
| compas | 0.1.1 | Conformational Manipulations of Protein Atomic Structures | Samuel W.K. Wong |
| CompDist | 1.0 | Multisection Composite Distributions | Saralees Nadarajah |
| comperank | 0.1.1 | Ranking Methods for Competition Results | Evgeni Chasnovski |
| comperes | 0.2.7 | Manage Competition Results | Evgeni Chasnovski |
| competitiontoolbox | 0.7.1 | A Graphical User Interface for Antitrust and Trade Practitioners | Charles Taragin |
| CompExpDes | 1.0.0 | Computer Experiment Designs | Ashutosh Dalal |
| CompGR | 0.1.3 | Complete Annual Growth Rate Generator | Ashis Ranjan Udgata |
| compHclust | 1.0-3 | Complementary Hierarchical Clustering | Gen Nowak |
| Compind | 3.1 | Composite Indicators Functions | Francesco Vidoli |
| compindexR | 0.1.3 | Calculates Composite Index | Olgun Aydin |
| compindPCA | 0.1.0 | Computation of Relative Weights of Variables and Composite Index
Values Based on PCA | Rajeev Ranjan Kumar |
| completejourney | 1.1.0 | Retail Shopping Data | Brad Boehmke |
| complex | 1.0.0 | Time Series Analysis and Forecasting Using Complex Variables | Ivan Svetunkov |
| complexity | 1.1.2 | Calculate the Proportion of Permutations in Line with an
Informative Hypothesis | M. A. J. Zondervan-Zwijnenburg |
| complexlm | 1.1.2 | Linear Fitting for Complex Valued Data | William Ryan |
| complexNet | 0.2.0 | Complex Network Generation | Marco Smolla |
| complexplus | 2.1 | Functions of Complex or Real Variable | Albert Dorador |
| ComplexUpset | 1.3.3 | Create Complex UpSet Plots Using 'ggplot2' Components | Michał Krassowski |
| complmrob | 0.7.0 | Robust Linear Regression with Compositional Data as Covariates | David Kepplinger |
| CompModels | 0.3.0 | Pseudo Computer Models for Optimization | Tony Pourmohamad |
| COMPoissonReg | 0.8.1 | Conway-Maxwell Poisson (COM-Poisson) Regression | Andrew Raim |
| CompositeReliability | 1.0.3 | Determine the Composite Reliability of a Naturalistic,
Unbalanced Dataset | Joyce Moonen - van Loon |
| Compositional | 6.8 | Compositional Data Analysis | Michail Tsagris |
| CompositionalML | 1.0 | Machine Learning with Compositional Data | Michail Tsagris |
| compositions | 2.0-8 | Compositional Data Analysis | K. Gerald van den Boogaart |
| compound.Cox | 3.30 | Univariate Feature Selection and Compound Covariate for
Predicting Survival | Takeshi Emura |
| CompoundEvents | 0.3.0 | Statistical Modeling of Compound Events | Zengchao Hao |
| CompPareto | 0.1.0 | Discrete Composite Distributions with Pareto Tails | Bowen Liu |
| CompQuadForm | 1.4.3 | Distribution Function of Quadratic Forms in Normal Variables | P. Lafaye de Micheaux |
| CompR | 1.0 | Paired Comparison Data Analysis | Michel Semenou |
| comprehenr | 0.6.10 | List Comprehensions | Gregory Demin |
| compute.es | 0.2-5 | Compute Effect Sizes | AC Del Re |
| comradesOO | 0.1.1 | Analysis of COMRADES (Cross-Linking Matched RNA and Deep
Sequencing) Data | Jonathan Price |
| ComRiskModel | 0.2.0 | Fitting of Complementary Risk Models | Muhammad Imran |
| comsimitv | 0.1.5 | Flexible Framework for Simulating Community Assembly | Zoltan Botta-Dukat |
| comstab | 0.0.2 | Partitioning the Drivers of Stability of Ecological Communities | Jules Segrestin |
| comtradr | 0.4.0.0 | Interface with the United Nations 'Comtrade' API | Paul Bochtler |
| con2aqi | 0.1.0 | Calculate the AQI from Pollutant Concentration | Zhicheng Du |
| con2lki | 0.1.0 | Calculate the Dutch Air Quality Index (LKI) | Mark Baas |
| Conake | 1.0.1 | Continuous Associated Kernel Estimation | W. E. Wansouwé |
| concatenate | 1.0.0 | Human-Friendly Text from Unknown Strings | James Dunham |
| concatipede | 1.0.1 | Easy Concatenation of Fasta Sequences | Matteo Vecchi |
| concaveman | 1.1.0 | A Very Fast 2D Concave Hull Algorithm | Joël Gombin |
| conclust | 1.1 | Pairwise Constraints Clustering | Tran Khanh Hiep |
| concom | 1.0.0 | Connected Components of an Undirected Graph | Stéphane Laurent |
| ConconiAnaerobicThresholdTest | 1.0.0 | Conconi Estimate of Anaerobic Threshold from a TCX File | Levi Waldron |
| ConConPiWiFun | 0.4.6.1 | Optimisation with Continuous Convex Piecewise (Linear and
Quadratic) Functions | Robin Girard |
| concordance | 2.0.0 | Product Concordance | Steven Liao |
| concordancer | 1.0.2 | An 'Rcpp' Implementation of Lin's Concordance Correlation
Coefficient (CCC) | Troy J Cross |
| ConcordanceTest | 1.0.3 | An Alternative to the Kruskal-Wallis Based on the Kendall Tau
Distance | Laura Anton-Sanchez |
| concorR | 0.2.1 | CONCOR and Supplemental Functions | Adrienne Traxler |
| concstats | 0.1.6 | Market Structure, Concentration and Inequality Measures | Andreas Schneider |
| CONCUR | 1.4 | Copy Number Profile Curve-Based Association Test | Shannon T. Holloway |
| cond | 1.2-3.1 | Approximate Conditional Inference for Logistic and Loglinear
Models | Alessandra R. Brazzale |
| CondCopulas | 0.1.3 | Estimation and Inference for Conditional Copula Models | Alexis Derumigny |
| condensr | 1.0.0 | Academic Group Website Generator | Michael Lydeamore |
| condformat | 0.10.1 | Conditional Formatting in Data Frames | Sergio Oller Moreno |
| condGEE | 0.2.0 | Parameter Estimation in Conditional GEE for Recurrent Event Gap
Times | David Clement |
| CondIndTests | 0.1.5 | Nonlinear Conditional Independence Tests | Christina Heinze-Deml |
| condir | 0.1.4 | Computation of P Values and Bayes Factors for Conditioning Data | Angelos-Miltiadis Krypotos |
| CondiS | 0.1.2 | Censored Data Imputation for Direct Modeling | Yizhuo Wang |
| conditionz | 0.1.0 | Control How Many Times Conditions are Thrown | Scott Chamberlain |
| condMVNorm | 2020.1 | Conditional Multivariate Normal Distribution | Ravi Varadhan |
| CondMVT | 0.1.0 | Conditional Multivariate t Distribution, Expectation
Maximization Algorithm, and Its Stochastic Variants | Paul Kinyanjui |
| condor | 2.1.0 | Interact with 'Condor' from R via SSH | Arni Magnusson |
| condorOptions | 1.0.1 | Trading Condor Options Strategies | MaheshP Kumar |
| condSURV | 2.0.4 | Estimation of the Conditional Survival Function for Ordered
Multivariate Failure Time Data | Marta Sestelo |
| condTruncMVN | 0.0.2 | Conditional Truncated Multivariate Normal Distribution | Paul M. Hargarten |
| conductor | 0.1.1 | Create Tours in 'Shiny' Apps Using 'Shepherd.js' | Etienne Bacher |
| condusco | 0.1.0 | Query-Driven Pipeline Execution and Query Templates | Roland Stevenson |
| condvis | 0.5-1 | Conditional Visualization for Statistical Models | Mark O'Connell |
| condvis2 | 0.1.2 | Interactive Conditional Visualization for Supervised and
Unsupervised Models in Shiny | Catherine Hurley |
| coneproj | 1.17 | Primal or Dual Cone Projections with Routines for Constrained
Regression | Xiyue Liao |
| conf | 1.8.3 | Visualization and Analysis of Statistical Measures of Confidence | Christopher Weld |
| conf.design | 2.0.0 | Construction of factorial designs | Bill Venables |
| confcons | 0.3.1 | Confidence and Consistency of Predictive Distribution Models | Ákos Bede-Fazekas |
| confidence | 1.1-2 | Confidence Estimation of Environmental State Classifications | Dennis Walvoort |
| config | 0.3.2 | Manage Environment Specific Configuration Values | Andrie de Vries |
| ConfigParser | 1.0.0 | Package to Parse an INI File, Including Variable Interpolation | Holger Hoefling |
| configr | 0.3.5 | An Implementation of Parsing and Writing Configuration File
(JSON/INI/YAML/TOML) | Jianfeng Li |
| configural | 0.1.5 | Multivariate Profile Analysis | Brenton M. Wiernik |
| confinterpret | 1.0.0 | Descriptive Interpretations of Confidence Intervals | Jim Vine |
| confintr | 1.0.2 | Confidence Intervals | Michael Mayer |
| confintROB | 1.0 | Bootstrap Confidence Intervals for Robust and Classical Linear
Mixed Model Estimators | Fabio Mason |
| ConfIntVariance | 1.0.2 | Confidence Interval for the Univariate Population Variance
without Normality Assumption | Mathias Fuchs |
| conflicted | 1.2.0 | An Alternative Conflict Resolution Strategy | Hadley Wickham |
| conflr | 0.1.1 | Client for 'Confluence' API | Hiroaki Yutani |
| conformalbayes | 0.1.2 | Jackknife(+) Predictive Intervals for Bayesian Models | Cory McCartan |
| conformalClassification | 1.0.0 | Transductive and Inductive Conformal Predictions for
Classification Problems | Niharika Gauraha |
| conformalInference.fd | 1.1.1 | Tools for Conformal Inference for Regression in Multivariate
Functional Setting | Paolo Vergottini |
| conformalInference.multi | 1.1.1 | Conformal Inference Tools for Regression with Multivariate
Response | Paolo Vergottini |
| conformalpvalue | 0.1.0 | Computes Conformal p-Values | Chhavi Tyagi |
| ConformalSmallest | 1.0 | Efficient Tuning-Free Conformal Prediction | Yachong Yang |
| confreq | 1.6.1-1 | Configural Frequencies Analysis Using Log-Linear Modeling | Joerg-Henrik Heine |
| confSAM | 0.2 | Estimates and Bounds for the False Discovery Proportion, by
Permutation | Jesse Hemerik |
| ConfusionTableR | 1.0.4 | Confusion Matrix Toolset | Gary Hutson |
| ConfZIC | 1.0.1 | Confidence Envelopes for Model Selection Criteria Based on
Minimum ZIC | I.M.L. Nadeesha Jayaweera |
| congress | 0.0.3 | Access the Congress.gov API | Christopher T. Kenny |
| CongreveLamsdell2016 | 1.0.3 | Distance Metrics for Trees Generated by Congreve and Lamsdell | Martin R. Smith |
| CoNI | 0.1.0 | Correlation Guided Network Integration (CoNI) | José Manuel Monroy Kuhn |
| conicfit | 1.0.4 | Algorithms for Fitting Circles, Ellipses and Conics Based on the
Work by Prof. Nikolai Chernov | Jose Gama |
| Conigrave | 0.4.4 | Flexible Tools for Multiple Imputation | James Conigrave |
| conjoint | 1.41 | An Implementation of Conjoint Analysis Method | Tomasz Bartlomowicz |
| conjurer | 1.7.1 | A Parametric Method for Generating Synthetic Data | Sidharth Macherla |
| conleyreg | 0.1.7 | Estimations using Conley Standard Errors | Christian Düben |
| conmet | 0.1.0 | Construct Measurement Evaluation Tool | Leander De Schutter |
| ConNEcT | 0.7.27 | Contingency Measure-Based Networks for Binary Time Series | Nadja Bodner |
| connectapi | 0.1.3.1 | Utilities for Interacting with the 'Posit Connect' Server API | Cole Arendt |
| ConnectednessApproach | 1.0.1 | Connectedness Approach | David Gabauer |
| connections | 0.2.0 | Integrates with the 'RStudio' Connections Pane and 'pins' | Edgar Ruiz |
| connectoModa | 1.0.0 | Download Data from Moda | Idrissa DABO |
| connectwidgets | 0.2.1 | Organize and Curate Your Content Within 'Posit Connect' | Brian Smith |
| ConnMatTools | 0.3.5 | Tools for Working with Connectivity Data | David M. Kaplan |
| conogive | 1.0.0 | Congeneric Normal-Ogive Model | Jonas Moss |
| conos | 1.5.2 | Clustering on Network of Samples | Evan Biederstedt |
| conover.test | 1.1.6 | Conover-Iman Test of Multiple Comparisons Using Rank Sums | Alexis Dinno |
| conquer | 1.3.3 | Convolution-Type Smoothed Quantile Regression | Xiaoou Pan |
| conquestr | 1.3.0 | An R Package to Extend 'ACER ConQuest' | Dan Cloney |
| conrad | 1.0.0 | Client for the Microsoft's 'Cognitive Services Text to Speech
REST' API | Howard Baek |
| ConsensusClustering | 1.2.0 | Consensus Clustering | Behnam Yousefi |
| conserveR | 1.0.4 | Identifying Conservation Prioritization Methods Based on Data
Availability | Alexander Zizka |
| consolechoice | 1.1.1 | An Easy and Quick Way to Loop a Character Vector as a Menu in
the Console | John Piper |
| consort | 1.2.1 | Create Consort Diagram | Alim Dayim |
| consortr | 0.9.1 | Interactive Consort Flow Diagrams | Daniel Backenroth |
| ConSpline | 1.2 | Partial Linear Least-Squares Regression using Constrained
Splines | Mary C Meyer |
| ConsRank | 2.1.4 | Compute the Median Ranking(s) According to the Kemeny's
Axiomatic Approach | Antonio D'Ambrosio |
| ConsRankClass | 1.0.1 | Classification and Clustering of Preference Rankings | Antonio D'Ambrosio |
| ConsReg | 0.1.0 | Fits Regression & ARMA Models Subject to Constraints to the
Coefficient | Josep Puig |
| constants | 1.0.1 | Reference on Constants, Units and Uncertainty | Iñaki Ucar |
| constellation | 0.2.0 | Identify Event Sequences Using Time Series Joins | Mark Sendak |
| constrainedKriging | 0.2-7 | Constrained, Covariance-Matching Constrained and Universal Point
or Block Kriging | Andreas Papritz |
| conStruct | 1.0.6 | Models Spatially Continuous and Discrete Population Genetic
Structure | Gideon Bradburd |
| constructive | 0.3.0 | Display Idiomatic Code to Construct Most R Objects | Antoine Fabri |
| contactdata | 1.0.0 | Social Contact Matrices for 177 Countries | Hugo Gruson |
| container | 1.0.4 | Extending Base 'R' Lists | Roman Pahl |
| ContaminatedMixt | 1.3.8 | Clustering and Classification with the Contaminated Normal | Angelo Mazza |
| contentid | 0.0.18 | An Interface for Content-Based Identifiers | Carl Boettiger |
| conText | 1.4.3 | 'a la Carte' on Text (ConText) Embedding Regression | Pedro L. Rodriguez |
| contfrac | 1.1-12 | Continued Fractions | Robin K. S. Hankin |
| contFracR | 1.2.1 | Continued Fraction Generators and Evaluators | Carl Witthoft |
| contingency | 0.0.10 | Discrete Multivariate Probability Distributions | Robin Evans |
| contingencytables | 3.0.0 | Statistical Analysis of Contingency Tables | Waldir Leoncio |
| contoureR | 1.0.5 | Contouring of Non-Regular Three-Dimensional Data | Nicholas Hamilton |
| ContourFunctions | 0.1.1 | Create Contour Plots from Data or a Function | Collin Erickson |
| contourPlot | 0.2.0 | Plots x,y,z Co-Ordinates in a Contour Map | Tony Murphy |
| contrast | 0.24.2 | A Collection of Contrast Methods | Alan O'Callaghan |
| conTree | 0.3-1 | Contrast Trees and Boosting | Balasubramanian Narasimhan |
| ContRespPP | 0.4.2 | Predictive Probability for a Continuous Response with an ANOVA
Structure | Victoria Sieck |
| contribution | 0.2.2 | A Tiny Contribution Table Generator Based on 'ggplot2' | Shixiang Wang |
| control | 0.2.5 | A Control Systems Toolbox | Ben C. Ubah |
| controlfunctionIV | 0.1.1 | Control Function Methods with Possibly Invalid Instrumental
Variables | Zijian Guo |
| controlTest | 1.1.0 | Quantile Comparison for Two-Sample Right-Censored Survival Data | Eric S. Kawaguchi |
| contsurvplot | 0.2.1 | Visualize the Effect of a Continuous Variable on a Time-to-Event
Outcome | Robin Denz |
| contTimeCausal | 1.1 | Continuous Time Causal Models | Shannon T. Holloway |
| convdistr | 1.6.1 | Convolute Probabilistic Distributions | Aponte John |
| ConvergenceClubs | 2.2.5 | Finding Convergence Clubs | Roberto Sichera |
| ConvergenceConcepts | 1.2.3 | Seeing Convergence Concepts in Action | Pierre Lafaye De Micheaux |
| convergEU | 0.7.3.2 | Monitoring Convergence of EU Countries | Eleonora Peruffo |
| convertbonds | 0.1.0 | Use the Given Parameters to Calculate the European Option Value | Tai-Sen Zheng |
| convertid | 0.1.8 | Convert Gene IDs Between Each Other and Fetch Annotations from
Biomart | Vidal Fey |
| ConvertPar | 0.1 | Estimating IRT Parameters via Machine Learning Algorithms | Eda Akdogdu Yildiz |
| convertr | 0.1 | Convert Between Units | Gordon Shotwell |
| convevol | 2.0.1 | Analysis of Convergent Evolution | C. Tristan Stayton |
| convey | 1.0.0 | Income Concentration Analysis with Complex Survey Samples | Anthony Damico |
| Convolutioner | 0.1.0 | Convolution of Data | Federico Maria Vivaldi |
| convoSPAT | 1.2.7 | Convolution-Based Nonstationary Spatial Modeling | Mark D. Risser |
| cooccur | 1.3 | Probabilistic Species Co-Occurrence Analysis in R | Daniel M. Griffith |
| CooccurrenceAffinity | 1.0 | Affinity in Co-Occurrence Data | Kumar Mainali |
| cookiecutter | 0.1.0 | Generate Project Files from a Template | Felix Henninger |
| cookiemonster | 0.0.3 | Your Friendly Solution to Managing Browser Cookies | Johannes B. Gruber |
| cookies | 0.2.3 | Use Browser Cookies with 'shiny' | Jon Harmon |
| CoOL | 1.1.2 | Causes of Outcome Learning | Andreas Rieckmann |
| coop | 0.6-3 | Co-Operation: Fast Covariance, Correlation, and Cosine
Similarity Operations | Drew Schmidt |
| CoopGame | 0.2.2 | Important Concepts of Cooperative Game Theory | Jochen Staudacher |
| coopProductGame | 2.0 | Cooperative Aspects of Linear Production Programming Problems | Daniel Prieto |
| CoordinateCleaner | 3.0.1 | Automated Cleaning of Occurrence Records from Biological
Collections | Alexander Zizka |
| CooRTweet | 2.0.2 | Coordinated Networks Detection on Social Media | Nicola Righetti |
| copBasic | 2.2.4 | General Bivariate Copula Theory and Many Utility Functions | William Asquith |
| copCAR | 2.0-4 | Fitting the copCAR Regression Model for Discrete Areal Data | John Hughes |
| copcor | 2023.8-27 | Correlates of Protection and Correlates of Risk Functions | Youyi Fong |
| CopCTS | 1.0.0 | Copula-Based Semiparametric Analysis for Time Series Data with
Detection Limits | Fuyuan David Li |
| cope | 0.2.3 | Coverage Probability Excursion (CoPE) Sets | Max Sommerfeld |
| copent | 0.4 | Estimating Copula Entropy and Transfer Entropy | MA Jian |
| CopernicusDEM | 1.0.3 | Copernicus Digital Elevation Models | Lampros Mouselimis |
| CopernicusMarine | 0.2.3 | Search Download and Handle Data from Copernicus Marine Service
Information | Pepijn de Vries |
| cophescan | 1.4.0 | Adaptation of the Coloc Method for PheWAS | Ichcha Manipur |
| coppeCosenzaR | 0.1.3 | COPPE-Cosenza Fuzzy Hierarchy Model | Pier Taranti |
| copre | 0.2.0 | Tools for Nonparametric Martingale Posterior Sampling | Blake Moya |
| cops | 1.3-1 | Cluster Optimized Proximity Scaling | Thomas Rusch |
| CopSens | 0.1.0 | Copula-Based Sensitivity Analysis for Observational Causal
Inference | Jiajing Zheng |
| copula | 1.1-3 | Multivariate Dependence with Copulas | Martin Maechler |
| Copula.Markov | 2.9 | Copula-Based Estimation and Statistical Process Control for
Serially Correlated Time Series | Takeshi Emura |
| Copula.Markov.survival | 1.0.0 | Copula Markov Model with Dependent Censoring | Xin-Wei Huang |
| Copula.surv | 1.4 | Analysis of Bivariate Survival Data Based on Copulas | Takeshi Emura |
| copulaboost | 0.1.0 | Fitting Additive Copula Regression Models for Binary Outcome
Regression | Simon Boge Brant |
| CopulaCenR | 1.2.3 | Copula-Based Regression Models for Multivariate Censored Data | Tao Sun |
| copulaData | 0.0-2 | Data Sets for Copula Modeling | Marius Hofert |
| CopulaDTA | 1.0.1 | Copula Based Bivariate Beta-Binomial Model for Diagnostic Test
Accuracy Studies | Victoria N Nyaga |
| copulaedas | 1.4.3 | Estimation of Distribution Algorithms Based on Copulas | Yasser Gonzalez-Fernandez |
| CopulaGAMM | 0.4.1 | Copula-Based Mixed Regression Models | Bruno N Remillard |
| CopulaInference | 0.5.0 | Estimation and Goodness-of-Fit of Copula-Based Models with
Arbitrary Distributions | Bouchra R. Nasri |
| copulareg | 0.1.0 | Copula Regression | Simon Boge Brant |
| CopulaREMADA | 1.6.2 | Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic
Test Accuracy Studies | Aristidis K. Nikoloulopoulos |
| copulaSim | 0.0.1 | Virtual Patient Simulation by Copula Invariance Property | Pei-Shan Yen |
| copyseparator | 1.2.0 | Assembling Long Gene Copies from Short Read Data | Lei Yang |
| COR | 0.0.1 | The COR for Optimal Subset Selection in Distributed Estimation | Guangbao Guo |
| cora | 0.1.0 | Cora Data for Entity Resolution | Rebecca Steorts |
| coRanking | 0.2.4 | Co-Ranking Matrix | Guido Kraemer |
| corazon | 0.1.0 | Apply 'colorffy' Color Gradients Within 'shiny' Elements | Mohamed El Fodil Ihaddaden |
| Corbi | 0.6-2 | Collection of Rudimentary Bioinformatics Tools | Ling-Yun Wu |
| CorBin | 1.0.0 | Generate High-Dimensional Binary Data with Correlation
Structures | Shuang Song |
| corclass | 0.2.1 | Correlational Class Analysis | Andrei Boutyline |
| cord | 0.1.1 | Community Estimation in G-Models via CORD | Xi (Rossi) LUO |
| cordillera | 1.0-0 | Calculation of the OPTICS Cordillera | Thomas Rusch |
| CORE | 3.2 | Cores of Recurrent Events | Guoli Sun |
| coreCollection | 0.9.5 | Core Collection | Matthijs Brouwer |
| coreCT | 1.3.3 | Programmatic Analysis of Sediment Cores Using Computed
Tomography Imaging | Troy D. Hill |
| corehunter | 3.2.3 | Multi-Purpose Core Subset Selection | Herman De Beukelaer |
| CORElearn | 1.57.3 | Classification, Regression and Feature Evaluation | "Marko Robnik-Sikonja" |
| corels | 0.0.4 | R Binding for the 'Certifiably Optimal RulE ListS (Corels)'
Learner | Dirk Eddelbuettel |
| CoreMicrobiomeR | 0.1.0 | Identification of Core Microbiome | Mohammad Samir Farooqi |
| coreNLP | 0.4-3 | Wrappers Around Stanford CoreNLP Tools | Taylor Arnold |
| coreSim | 0.2.4 | Core Functionality for Simulating Quantities of Interest from
Generalised Linear Models | Christopher Gandrud |
| corHMM | 2.8 | Hidden Markov Models of Character Evolution | Jeremy Beaulieu |
| corkscrew | 1.1 | Preprocessor for Data Modeling | Santhosh Sasanapuri |
| corlink | 1.0.0 | Record Linkage, Incorporating Imputation for Missing Agreement
Patterns, and Modeling Correlation Patterns Between Fields | John Ferguson |
| CorMID | 0.1.9 | Correct Mass Isotopologue Distribution Vectors | Jan Lisec |
| corncob | 0.4.1 | Count Regression for Correlated Observations with the
Beta-Binomial | Amy D Willis |
| CornerstoneR | 2.0.2 | Collection of Scripts for Interface Between 'Cornerstone' and
'R' | Gerrith Djaja |
| cornet | 0.0.9 | Elastic Net with Dichotomised Outcomes | Armin Rauschenberger |
| coro | 1.0.4 | 'Coroutines' for R | Lionel Henry |
| coroICA | 1.0.2 | Confounding Robust Independent Component Analysis for Noisy and
Grouped Data | Niklas Pfister |
| corona | 0.3.0 | Coronavirus ('Rona') Data Exploration | Jo van Schalkwyk |
| CoronaNetR | 0.3.0 | API Access to 'CoronaNet' Data | Robert Kubinec |
| coronavirus | 0.4.1 | The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset | Rami Krispin |
| corpcor | 1.6.10 | Efficient Estimation of Covariance and (Partial) Correlation | Korbinian Strimmer |
| corpora | 0.6 | Statistics and Data Sets for Corpus Frequency Data | Stephanie Evert |
| corporaexplorer | 0.8.6 | A 'Shiny' App for Exploration of Text Collections | Kristian Lundby Gjerde |
| CoRpower | 1.0.4 | Power Calculations for Assessing Correlates of Risk in Clinical
Efficacy Trials | Michal Juraska |
| corpustools | 0.5.1 | Managing, Querying and Analyzing Tokenized Text | Kasper Welbers |
| corr2D | 1.0.3 | Implementation of 2D Correlation Analysis in R | Robert Geitner |
| corrarray | 1.2.0 | Correlation Arrays and 2-Sample Correlation Matrices | Rohan Reddy Tummala |
| CorrBin | 1.6.1 | Nonparametrics with Clustered Binary and Multinomial Data | Aniko Szabo |
| corrcoverage | 1.2.1 | Correcting the Coverage of Credible Sets from Bayesian Genetic
Fine Mapping | Anna Hutchinson |
| corrDNA | 1.0.1 | Finding Associations in Position-Wise Aligned DNA Sequence
Dataset | Prabina Kumar Meher |
| correctedAUC | 0.0.3 | Correcting AUC for Measurement Error | Weiliang Qiu |
| CorrectedFDR | 1.1 | Correcting False Discovery Rates | Abbas Rahal |
| CorrectOverloadedPeaks | 1.3.3 | Correct Overloaded Peaks from GC-APCI-MS Data | Jan Lisec |
| correctR | 0.2.1 | Corrected Test Statistics for Comparing Machine Learning Models
on Correlated Samples | Trent Henderson |
| correlation | 0.8.4 | Methods for Correlation Analysis | Brenton M. Wiernik |
| correlationfunnel | 0.2.0 | Speed Up Exploratory Data Analysis (EDA) with the Correlation
Funnel | Matt Dancho |
| correlbinom | 0.0.1 | Correlated Binomial Probabilities | Gary Witt |
| Correlplot | 1.1.0 | A Collection of Functions for Graphing Correlation Matrices | Jan Graffelman |
| correspondenceTables | 0.7.4 | Creating Correspondence Tables Between Two Statistical
Classifications | Mátyás Mészáros |
| corrfuns | 1.0 | Correlation Coefficient Related Functions | Michail Tsagris |
| corrgram | 1.14 | Plot a Correlogram | Kevin Wright |
| corrgrapher | 1.0.4 | Explore Correlations Between Variables in a Machine Learning
Model | Pawel Morgen |
| corrmeta | 1.0.0 | Correlated Meta-Analysis | Woo Seok Jung |
| CorrMixed | 1.1 | Estimate Correlations Between Repeatedly Measured Endpoints
(E.g., Reliability) Based on Linear Mixed-Effects Models | Wim Van der Elst |
| corrplot | 0.92 | Visualization of a Correlation Matrix | Taiyun Wei |
| corrr | 0.4.4 | Correlations in R | Max Kuhn |
| corrsieve | 1.6-9 | Software for Summarising and Evaluating STRUCTURE Output | Michael G. Campana |
| corrtable | 0.1.1 | Creates and Saves Out a Correlation Table with Significance
Levels Indicated | Laura Lambert |
| CorrToolBox | 1.6.4 | Modeling Correlational Magnitude Transformations in
Discretization Contexts | Ran Gao |
| corrViz | 0.1.0 | Visualise Correlations | Alan Inglis |
| corset | 0.1-5 | Arbitrary Bounding of Series and Time Series Objects | Fran Urbano |
| corTest | 1.0.7 | Robust Tests for Equal Correlation | Danyang Yu |
| corTESTsrd | 1.0-0 | Significance Testing of Rank Cross-Correlations under SRD | David Lun |
| corto | 1.2.4 | Inference of Gene Regulatory Networks | Federico M. Giorgi |
| corx | 1.0.7.2 | Create and Format Correlation Matrices | James Conigrave |
| cosa | 2.1.0 | Bound Constrained Optimal Sample Size Allocation | Metin Bulus |
| cosinor | 1.2.3 | Tools for Estimating and Predicting the Cosinor Model | Michael Sachs |
| cosinor2 | 0.2.1 | Extended Tools for Cosinor Analysis of Rhythms | Augustin Mutak |
| cosmicsig | 1.1.1 | Mutational Signatures from COSMIC (Catalogue of Somatic
Mutations in Cancer) | Steven Rozen |
| cosmoFns | 1.1-1 | Functions for Cosmological Distances, Times, Luminosities, Etc | Andrew Harris |
| CoSMoS | 2.1.0 | Complete Stochastic Modelling Solution | Kevin Shook |
| cosso | 2.1-2 | Fit Regularized Nonparametric Regression Models Using COSSO
Penalty | Isaac Ray |
| COST | 0.1.0 | Copula-Based Semiparametric Models for Spatio-Temporal Data | Yanlin Tang |
| costat | 2.4.1 | Time Series Costationarity Determination | Guy Nason |
| costsensitive | 0.1.2.10 | Cost-Sensitive Multi-Class Classification | David Cortes |
| CoTiMA | 0.7.0 | Continuous Time Meta-Analysis ('CoTiMA') | Markus Homberg |
| cotram | 0.4-4 | Count Transformation Models | Sandra Siegfried |
| cotrend | 1.0.2 | Consistent Co-Trending Rank Selection | A. Christian Silva |
| COUNT | 1.3.4 | Functions, Data and Code for Count Data | Andrew Robinson |
| countcolors | 0.9.1 | Locates and Counts Pixels Within Color Range(s) in Images | Hannah Weller |
| countdata | 1.3 | The Beta-Binomial Test for Count Data | Thang Pham |
| countDM | 0.1.0 | Estimation of Count Data Models | Muhammad Imran |
| countdown | 0.4.0 | A Countdown Timer for HTML Presentations, Documents, and Web
Apps | Garrick Aden-Buie |
| Counterfactual | 1.2 | Estimation and Inference Methods for Counterfactual Analysis | Ivan Fernandez-Val |
| counterfactuals | 0.1.2 | Counterfactual Explanations | Susanne Dandl |
| Counternull | 0.2.12 | Randomization-Based Inference | Mabene Yasmine |
| countfitteR | 1.4 | Comprehensive Automatized Evaluation of Distribution Models for
Count Data | Jaroslaw Chilimoniuk |
| countgmifs | 0.0.2 | Discrete Response Regression for High-Dimensional Data | Kellie Archer |
| countHMM | 0.1.0 | Penalized Estimation of Flexible Hidden Markov Models for Time
Series of Counts | Timo Adam |
| countland | 0.1.2 | Analysis of Biological Count Data, Especially from Single-Cell
RNA-Seq | Church Samuel H. |
| countprop | 1.0.1 | Calculate Model-Based Metrics of Proportionality on Count-Based
Compositional Data | Kevin McGregor |
| Countr | 3.5.8 | Flexible Univariate Count Models Based on Renewal Processes | Georgi N. Boshnakov |
| countries | 1.2.0 | Deal with Country Data in an Easy Way | Francesco Saverio Bellelli |
| countrycode | 1.6.0 | Convert Country Names and Country Codes | Vincent Arel-Bundock |
| CountsEPPM | 3.1 | Mean and Variance Modeling of Count Data | David M. Smith |
| countsplit | 4.0.0 | Splitting a Count Matrix into Independent Folds | Anna Neufeld |
| countSTAR | 1.0.2 | Flexible Modeling of Count Data | Brian King |
| countToFPKM | 1.0 | Convert Counts to Fragments per Kilobase of Transcript per
Million (FPKM) | Ahmed Alhendi |
| countTransformers | 0.0.6 | Transform Counts in RNA-Seq Data Analysis | Zeyu Zhang |
| countts | 0.1.0 | Thomson Sampling for Zero-Inflated Count Outcomes | Tanujit Chakraborty |
| covadap | 1.0.1 | Implement Covariate-Adaptive Randomization | Rosamarie Frieri |
| covafillr | 0.4.4 | Local Polynomial Regression of State Dependent Covariates in
State-Space Models | Christoffer Moesgaard Albertsen |
| covatest | 1.2.3 | Tests on Properties of Space-Time Covariance Functions | Sandra De Iaco |
| covBM | 0.1.0 | Brownian Motion Processes for 'nlme'-Models | Oliver Stirrup |
| CovCombR | 1.0 | Combine Partial Covariance / Relationship Matrices | Deniz Akdemir |
| covdepGE | 1.0.1 | Covariate Dependent Graph Estimation | Jacob Helwig |
| coveffectsplot | 1.0.5 | Produce Forest Plots to Visualize Covariate Effects | Samer Mouksassi |
| covequal | 0.1.0 | Test for Equality of Covariance Matrices | Maxime Turgeon |
| coveR2 | 1.0.0 | Process Digital Cover Photography Images of Tree Crowns | Francesco Chianucci |
| covfefe | 0.1.0 | Covfefy Any Word, Sentence or Speech | Michael Kirchner |
| covglasso | 1.0.3 | Sparse Covariance Matrix Estimation | Michael Fop |
| COVID19 | 3.0.3 | R Interface to COVID-19 Data Hub | Emanuele Guidotti |
| covid19.analytics | 2.1.3.3 | Load and Analyze Live Data from the COVID-19 Pandemic | Marcelo Ponce |
| covid19br | 0.1.8 | Brazilian COVID-19 Pandemic Data | Fabio Demarqui |
| covid19brazil | 0.1.0 | COVID-19 Dataset for Brazil | Alexandre Loures |
| covid19dbcand | 0.1.1 | Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in
R Format | Mohammed Ali |
| covid19france | 0.1.0 | Cases of COVID-19 in France | Amanda Dobbyn |
| covid19india | 0.1.4 | Pulling Clean Data from Covid19india.org | Max Salvatore |
| covid19italy | 0.3.1 | The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset | Rami Krispin |
| covid19sf | 0.1.2 | The Covid19 San Francisco Dataset | Rami Krispin |
| covid19srilanka | 1.1.0 | The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri
Lanka | Thiyanga S. Talagala |
| covid19swiss | 0.1.0 | COVID-19 Cases in Switzerland and Principality of Liechtenstein | Rami Krispin |
| covid19tunisia | 0.1.0 | Cases of COVID-19 in Tunisia | Mouna Belaid |
| covid19us | 0.1.9 | Cases of COVID-19 in the United States | Amanda Dobbyn |
| covidcast | 0.5.2 | Client for Delphi's 'COVIDcast Epidata' API | Alex Reinhart |
| COVIDIBGE | 0.2.2 | Downloading, Reading and Analyzing PNAD COVID19 Microdata | Gabriel Assuncao |
| CovidMutations | 0.1.3 | Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease
2019) | Shaoqian Ma |
| covidmx | 0.7.7 | Descarga y analiza datos de COVID-19 en México | Rodrigo Zepeda-Tello |
| covidnor | 2023.05.18 | Public COVID-19 Data for Norway | Chi Zhang |
| covidprobability | 0.1.0 | Estimate the Unit-Wide Probability of COVID-19 | Eric Brown |
| covidsymptom | 0.9.3 | COVID Symptom Study Sweden Open Dataset | Hugo Fitipaldi |
| covKCD | 0.1 | Covariance Estimation for Matrix Data with the Kronecker-Core
Decomposition | Peter Hoff |
| covr | 3.6.4 | Test Coverage for Packages | Jim Hester |
| CovRegRF | 2.0.0 | Covariance Regression with Random Forests | Cansu Alakus |
| covRobust | 1.1-3 | Robust Covariance Estimation via Nearest Neighbor Cleaning | Hana Sevcikova |
| CovSel | 1.2.1 | Model-Free Covariate Selection | Jenny Häggström |
| covsep | 1.1.0 | Tests for Determining if the Covariance Structure of
2-Dimensional Data is Separable | Shahin Tavakoli |
| covsim | 1.0.0 | VITA, IG and PLSIM Simulation for Given Covariance and Marginals | Njaal Foldnes |
| covTestR | 0.1.4 | Covariance Matrix Tests | Ben Barnard |
| CovTools | 0.5.4 | Statistical Tools for Covariance Analysis | Kisung You |
| cowbell | 0.1.0 | Performs Segmented Linear Regression on Two Independent
Variables | Christoph Luerig |
| cowplot | 1.1.3 | Streamlined Plot Theme and Plot Annotations for 'ggplot2' | Claus O. Wilke |
| cowsay | 0.9.0 | Messages, Warnings, Strings with Ascii Animals | Scott Chamberlain |
| CoxAIPW | 0.0.3 | Doubly Robust Inference for Cox Marginal Structural Model with
Informative Censoring | Jiyu Luo |
| CoxBcv | 0.0.1.0 | Bias-Corrected Sandwich Variance Estimators for Marginal Cox
Analysis of Cluster Randomized Trials | Xueqi Wang |
| coxed | 0.3.3 | Duration-Based Quantities of Interest for the Cox Proportional
Hazards Model | "Kropko, Jonathan" |
| coxerr | 1.1 | Cox Regression with Dependent Error in Covariates | Yijian Huang |
| CoxICPen | 1.1.0 | Variable Selection for Cox's Model with Interval-Censored Data | Qiwei Wu |
| coxme | 2.2-20 | Mixed Effects Cox Models | Terry M. Therneau |
| Coxmos | 1.0.2 | Cox MultiBlock Survival | Pedro Salguero García |
| coxphf | 1.13.4 | Cox Regression with Firth's Penalized Likelihood | Georg Heinze |
| coxphSGD | 0.2.1 | Stochastic Gradient Descent log-Likelihood Estimation in Cox
Proportional Hazards Model | Marcin Kosinski |
| coxphw | 4.0.3 | Weighted Estimation in Cox Regression | Daniela Dunkler |
| CoxPlus | 1.1.1 | Cox Regression (Proportional Hazards Model) with Multiple Causes
and Mixed Effects | Jing Peng |
| CoxR2 | 1.0 | R-Squared Measure Based on Partial LR Statistic, for the Cox PH
Regression Model | Hyeri You |
| coxrobust | 1.0.1 | Fit Robustly Proportional Hazards Regression Model | Shana Scogin |
| coxrt | 1.0.3 | Cox Proportional Hazards Regression for Right-Truncated Data | Bella Vakulenko-Lagun |
| coxsei | 0.3 | Fitting a CoxSEI Model | Feng Chen |
| CP | 1.8 | Conditional Power Calculations | Andreas Kuehnapfel |
| cp4p | 0.3.6 | Calibration Plot for Proteomics | Quentin Giai Gianetto |
| cpa | 1.0.1 | Confirmatory Path Analysis Through 'd-sep' Tests | Alessandro Bellino |
| CPAT | 0.1.0 | Change Point Analysis Tests | Curtis Miller |
| CPBayes | 1.1.0 | Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
Associations | Arunabha Majumdar |
| CPC | 2.6.0 | Implementation of Cluster-Polarization Coefficient | Isaac Mehlhaff |
| cPCG | 1.0 | Efficient and Customized Preconditioned Conjugate Gradient
Method for Solving System of Linear Equations | Yongwen Zhuang |
| cpd | 0.3.2 | Complex Pearson Distributions | Silverio Vilchez-Lopez |
| CPE | 1.6.3 | Concordance Probability Estimates in Survival Analysis | Qianxing Mo |
| cpfa | 1.1-3 | Classification with Parallel Factor Analysis | Matthew A. Snodgress |
| CpGassoc | 2.60 | Association Between Methylation and a Phenotype of Interest | R Barfield |
| CpGFilter | 1.1 | CpG Filtering Method Based on Intra-Class Correlation
Coefficients | Jun Chen |
| CPGLIB | 1.1.1 | Competing Proximal Gradients Library | Anthony Christidis |
| cpi | 0.1.4 | Conditional Predictive Impact | Marvin N. Wright |
| cplm | 0.7-12 | Compound Poisson Linear Models | Yanwei (Wayne) Zhang |
| cplots | 0.5-0 | Plots for Circular Data | Yong Wang |
| cpm | 2.3 | Sequential and Batch Change Detection Using Parametric and
Nonparametric Methods | Gordon J. Ross |
| cpmBigData | 0.0.1 | Fitting Semiparametric Cumulative Probability Models for Big
Data | Chun Li |
| CPMCGLM | 1.2 | Correction of the P-Value after Multiple Coding in Generalized
Linear Models | Jeremie Riou |
| CpmERCCutoff | 1.0.0 | Calculation of Log2 Counts per Million Cutoff from ERCC Controls | Kristen Steenbergen |
| cpmr | 0.0.8 | Connectome Predictive Modelling in R | Liang Zhang |
| CPNCoverageAnalysis | 1.1.0 | Conceptual Properties Norming Studies as Parameter Estimation | Sebastian Moreno |
| cpop | 1.0.6 | Detection of Multiple Changes in Slope in Univariate Time-Series | Daniel Grose |
| CPP | 0.1.0 | Composition of Probabilistic Preferences (CPP) | Luiz O. Gavião |
| cpp11 | 0.4.7 | A C++11 Interface for R's C Interface | Davis Vaughan |
| cppcheckR | 1.0.0 | Check 'C' and 'C++' Files using 'Cppcheck' | Stéphane Laurent |
| cppdoubles | 0.2.0 | Fast Relative Comparisons of Floating Point Numbers in 'C++' | Nick Christofides |
| cppRouting | 3.1 | Algorithms for Routing and Solving the Traffic Assignment
Problem | Vincent Larmet |
| cpr | 0.4.0 | Control Polygon Reduction | Peter DeWitt |
| cprobit | 1.0.2 | Conditional Probit Model for Analysing Continuous Outcomes | Ning Yilin |
| cprr | 0.2.0 | Functions for Working with Danish CPR Numbers | Jacob Anhøj |
| cPseudoMaRg | 1.0.1 | Constructs a Correlated Pseudo-Marginal Sampler | Taylor Brown |
| cpsR | 1.0.0 | Load CPS Microdata into R Using the 'Census Bureau Data' API | Matt Saenz |
| cpss | 0.0.3 | Change-Point Detection by Sample-Splitting Methods | Guanghui Wang |
| CPsurv | 1.0.0 | Nonparametric Change Point Estimation for Survival Data | Stefanie Krügel |
| cpsurvsim | 1.2.2 | Simulating Survival Data from Change-Point Hazard Distributions | Camille Hochheimer |
| cpsvote | 0.1.0 | A Toolbox for Using the CPS’s Voting and Registration Supplement | Jay Lee |
| cpt | 1.0.2 | Classification Permutation Test | Johann Gagnon-Bartsch |
| cptcity | 1.0.6 | 'cpt-city' Colour Gradients | Sergio Ibarra-Espinosa |
| CptNonPar | 0.1.1 | Nonparametric Change Point Detection for Multivariate Time
Series | Euan T. McGonigle |
| cqrReg | 1.2.1 | Quantile, Composite Quantile Regression and Regularized Versions | Jueyu Gao |
| cquad | 2.3 | Conditional Maximum Likelihood for Quadratic Exponential Models
for Binary Panel Data | Francesco Bartolucci |
| CR2 | 0.2.1 | Compute Cluster Robust Standard Errors with Degrees of Freedom
Adjustments | Francis Huang |
| CRABS | 1.2.0 | Congruent Rate Analyses in Birth-Death Scenarios | Bjørn Tore Kopperud |
| cragg | 0.0.1 | Tests for Weak Instruments in R | Beniamino Green |
| cramer | 0.9-4 | Multivariate Nonparametric Cramer-Test for the
Two-Sample-Problem | Carsten Franz |
| crandep | 0.3.7 | Network Analysis of Dependencies of CRAN Packages | Clement Lee |
| crank | 1.1-2 | Completing Ranks | Jim Lemon |
| cranlike | 1.0.2 | Tools for 'CRAN'-Like Repositories | Gábor Csárdi |
| cranlogs | 2.1.1 | Download Logs from the 'RStudio' 'CRAN' Mirror | Gábor Csárdi |
| cranly | 0.6.0 | Package Directives and Collaboration Networks in CRAN | Ioannis Kosmidis |
| CRANsearcher | 1.0.0 | RStudio Addin for Searching Packages in CRAN Database Based on
Keywords | Agustin Calatroni |
| crassmat | 0.0.6 | Conditional Random Sampling Sparse Matrices | Nick Kunz |
| crawl | 2.3.0 | Fit Continuous-Time Correlated Random Walk Models to Animal
Movement Data | Devin S. Johnson |
| crayon | 1.5.2 | Colored Terminal Output | Gábor Csárdi |
| crayons | 0.0.3 | Color Palettes from Crayon Boxes | Christopher T. Kenny |
| crc32c | 0.0.2 | Cyclic Redundancy Check with CPU-Specific Acceleration | Dirk Eddelbuettel |
| crch | 1.1-2 | Censored Regression with Conditional Heteroscedasticity | Jakob Messner |
| crctStepdown | 0.5.2 | Univariate Analysis of Cluster Trials with Multiple Outcomes | Sam Watson |
| CRE | 0.2.5 | Interpretable Discovery and Inference of Heterogeneous Treatment
Effects | Naeem Khoshnevis |
| CREAM | 1.1.1 | Clustering of Genomic Regions Analysis Method | Benjamin Haibe-Kains |
| createLogicalPCM | 0.1.0 | Create Logical Pairwise Comparison Matrix for the Analytic
Hierarchy Process | Amarnath Bose |
| credentials | 2.0.1 | Tools for Managing SSH and Git Credentials | Jeroen Ooms |
| CRediTas | 0.2.0 | Generate CRediT Author Statements | Josep Pueyo-Ros |
| creditmodel | 1.3.1 | Toolkit for Credit Modeling, Analysis and Visualization | Dongping Fan |
| CREDS | 0.1.0 | Calibrated Ratio Estimator under Double Sampling Design | Dr. Sadikul Islam |
| credsubs | 1.1.1 | Credible Subsets | Patrick Schnell |
| credule | 0.1.4 | Credit Default Swap Functions | Bertrand Le Nezet |
| cregg | 0.4.0 | Simple Conjoint Tidying, Analysis, and Visualization | Thomas J. Leeper |
| crew | 0.9.1 | A Distributed Worker Launcher Framework | William Michael Landau |
| crew.aws.batch | 0.0.5 | A Crew Launcher Plugin for AWS Batch | William Michael Landau |
| crew.cluster | 0.3.0 | Crew Launcher Plugins for Traditional High-Performance Computing
Clusters | William Michael Landau |
| CRF | 0.4-3 | Conditional Random Fields | Ling-Yun Wu |
| crfsuite | 0.4.2 | Conditional Random Fields for Labelling Sequential Data in
Natural Language Processing | Jan Wijffels |
| cricketdata | 0.2.3 | International Cricket Data | Rob Hyndman |
| cricketr | 0.0.26 | Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo
Statsguru | Tinniam V Ganesh |
| crimCV | 1.0.0 | Group-Based Modelling of Longitudinal Data | Jason D. Nielsen |
| crimedata | 0.3.5 | Access Crime Data from the Open Crime Database | Matthew Ashby |
| crimeutils | 0.5.1 | A Comprehensive Set of Functions to Clean, Analyze, and Present
Crime Data | Jacob Kaplan |
| crisp | 1.0.0 | Fits a Model that Partitions the Covariate Space into Blocks in
a Data- Adaptive Way | Ashley Petersen |
| crispRdesignR | 1.1.7 | Guide Sequence Design for CRISPR/Cas9 | Dylan Beeber |
| criticality | 0.9.3 | Modeling Fissile Material Operations in Nuclear Facilities | William Zywiec |
| criticalpath | 0.2.1 | An Implementation of the Critical Path Method | Rubens Jose Rosa |
| critpath | 0.2.2 | Setting the Critical Path in Project Management | Adam Kucharski |
| CRM | 1.2.4 | Continual Reassessment Method (CRM) for Phase I Clinical Trials | Qianxing Mo |
| CRMetrics | 0.3.0 | Cell Ranger Output Filtering and Metrics Visualization | Rasmus Rydbirk |
| crmn | 0.0.21 | CCMN and Other Normalization Methods for Metabolomics Data | Henning Redestig |
| crmPack | 1.0.5 | Object-Oriented Implementation of CRM Designs | Daniel Sabanes Bove |
| crmReg | 1.0.2 | Cellwise Robust M-Regression and SPADIMO | Sebastiaan Hoppner |
| crochet | 2.3.0 | Implementation Helper for '[' and '[<-' of Custom Matrix-Like
Types | Alexander Grueneberg |
| cromwellDashboard | 0.5.1 | A Dashboard to Visualize Scientific Workflows in 'Cromwell' | Xiaowei Zhan |
| Cronbach | 0.1 | Cronbach's Alpha | Michail Tsagris |
| crone | 0.1.1 | Structural Crystallography in 1d | James Foadi |
| cronologia | 0.2.0 | Create an HTML Vertical Timeline from a Data Frame in
'rmarkdown' and 'shiny' | Mohamed El Fodil Ihaddaden |
| cronR | 0.6.5 | Schedule R Scripts and Processes with the 'cron' Job Scheduler | Jan Wijffels |
| crop | 0.0-3 | Graphics Cropping Tool | Marius Hofert |
| cropcircles | 0.2.4 | Crops an Image to a Circle | Daniel Oehm |
| cropdatape | 1.0.0 | Open Data of Agricultural Production of Crops of Peru | Omar Benites-Alfaro |
| cropDemand | 1.0.3 | Spatial Crop Water Demand for Brazil | Roberto Filgueiras |
| cropgrowdays | 0.2.1 | Crop Growing Degree Days and Agrometeorological Calculations | Peter Baker |
| crops | 1.0.3 | Changepoints for a Range of Penalties (CROPS) | Daniel Grose |
| CropScapeR | 1.1.5 | Access Cropland Data Layer Data via the 'CropScape' Web Service | Bowen Chen |
| cropZoning | 1.0.3 | Climate Crop Zoning Based in Air Temperature for Brazil | Roberto Filgueiras |
| CrossCarry | 0.1.0 | Analysis of Data from a Crossover Design with GEE | Nelson Alirio Cruz Gutierrez |
| crossdes | 1.1-2 | Construction of Crossover Designs | Bjoern Bornkamp |
| crosshap | 1.4.0 | Local Haplotype Clustering and Visualization | Jacob Marsh |
| crossmap | 0.4.0 | Apply Functions to All Combinations of List Elements | Alexander Rossell Hayes |
| crossnma | 1.2.0 | Cross-Design & Cross-Format Network Meta-Analysis and Regression | Guido Schwarzer |
| Crossover | 0.1-22 | Analysis and Search of Crossover Designs | Kornelius Rohmeyer |
| crossrun | 0.1.1 | Joint Distribution of Number of Crossings and Longest Run | Tore Wentzel-Larsen |
| crosstable | 0.7.0 | Crosstables for Descriptive Analyses | Dan Chaltiel |
| Crosstabs.Loglinear | 0.1.1 | Cross Tabulation and Loglinear Analyses of Categorical Data | Brian O'Connor |
| crosstalk | 1.2.1 | Inter-Widget Interactivity for HTML Widgets | Carson Sievert |
| crossurr | 1.0.6 | Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
Surrogate Markers | Denis Agniel |
| CrossVA | 1.0.0 | Verbal Autopsy Data Transformation for InSilicoVA and InterVA5
Algorithms | Jason Thomas |
| crossval | 1.0.5 | Generic Functions for Cross Validation | Korbinian Strimmer |
| CrossValidate | 2.3.4 | Classes and Methods for Cross Validation of "Class Prediction"
Algorithms | Kevin R. Coombes |
| crossvalidationCP | 1.1 | Cross-Validation for Change-Point Regression | Pein Florian |
| crosswalkr | 0.2.6 | Rename and Encode Data Frames Using External Crosswalk Files | Benjamin Skinner |
| crossword.r | 0.3.6 | Generating Crosswords from Word Lists | Peter Meissner |
| crov | 0.3.0 | Constrained Regression Model for an Ordinal Response and Ordinal
Predictors | Javier Espinosa |
| crplyr | 0.4.0 | A 'dplyr' Interface for Crunch | Greg Freedman Ellis |
| crqa | 2.0.5 | Unidimensional and Multidimensional Methods for Recurrence
Quantification Analysis | Moreno I. Coco |
| crrcbcv | 1.0 | Bias-Corrected Variance for Competing Risks Regression with
Clustered Data | Xinyuan Chen |
| crrSC | 1.1.2 | Competing Risks Regression for Stratified and Clustered Data | Aurelien Latouche |
| crrstep | 2023.1.1 | Stepwise Covariate Selection for the Fine & Gray Competing Risks
Regression Model | Ravi Varadhan |
| crs | 0.15-37 | Categorical Regression Splines | Jeffrey S. Racine |
| crseEventStudy | 1.2.2 | A Robust and Powerful Test of Abnormal Stock Returns in
Long-Horizon Event Studies | Siegfried Köstlmeier |
| crsmeta | 0.3.0 | Extract Coordinate System Metadata | Michael Sumner |
| crsnls | 0.2 | Nonlinear Regression Parameters Estimation by 'CRS4HC' and
'CRS4HCe' | Tomáš Goryl |
| crso | 0.1.1 | Cancer Rule Set Optimization ('crso') | Michael Klein |
| crsra | 0.2.3 | Tidying and Analyzing 'Coursera' Research Export Data | Aboozar Hadavand |
| crsuggest | 0.4 | Obtain Suggested Coordinate Reference System Information for
Spatial Data | Kyle Walker |
| CRTConjoint | 0.1.0 | Conditional Randomization Testing (CRT) Approach for Conjoint
Analysis | Dae Woong Ham |
| CRTgeeDR | 2.0.1 | Doubly Robust Inverse Probability Weighted Augmented GEE
Estimator | Melanie Prague |
| CRTSize | 1.2 | Sample Size Estimation Functions for Cluster Randomized Trials | Michael A Rotondi |
| CRTspat | 1.2.0 | Workflow for Cluster Randomised Trials with Spillover | Thomas Smith |
| crul | 1.4.2 | HTTP Client | Scott Chamberlain |
| crunch | 1.30.4 | Crunch.io Data Tools | Greg Freedman Ellis |
| crunchy | 0.3.3 | Shiny Apps on Crunch | Greg Freedman Ellis |
| cruts | 1.1 | Interface to Climatic Research Unit Time-Series Version 3.21
Data | Benjamin M. Taylor |
| CruzPlot | 1.4.8 | Plot Shipboard DAS Data | Sam Woodman |
| crwbmetareg | 1.0 | Cluster Robust Wild Bootstrap Meta Regression | Michail Tsagris |
| CRWRM | 0.0.1 | Changing the Reference Group without Re-Running the Model | Ziqiang Lin |
| cry | 0.5.1 | Statistics for Structural Crystallography | James Foadi |
| crypto2 | 1.4.6 | Download Crypto Currency Data from 'CoinMarketCap' without 'API' | Sebastian Stoeckl |
| cryptography | 1.0.0 | Encrypts and Decrypts Text Ciphers | Piaras Fahey |
| cryptoQuotes | 1.3.0 | A Streamlined Access to Cryptocurrency OHLC-V Market Data and
Sentiment Indicators | Serkan Korkmaz |
| cryptoverse | 0.1.0 | Visualization and Analytics for the Cryptoverse | Vivian R. Steiger |
| cryptowatchR | 0.2.0 | An API Wrapper for 'Cryptowatch' | Lorenz Brachtendorf |
| CryptRndTest | 1.2.7 | Statistical Tests for Cryptographic Randomness | Haydar Demirhan |
| cryst | 0.1.0 | Calculate the Relative Crystallinity of Starch by XRD and FTIR | Claudio Pozo Valenzuela |
| csa | 0.7.1 | A Cross-Scale Analysis Tool for Model-Observation Visualization
and Integration | Yannis Markonis |
| csalert | 2023.6.17 | Alerts from Public Health Surveillance Data | Richard Aubrey White |
| csampling | 1.2-2.1 | Functions for Conditional Simulation in Regression-Scale Models | Alessandra R. Brazzale |
| CsChange | 0.1.7 | Testing for Change in C-Statistic | Zhicheng Du |
| csci | 0.9.3 | Current Status Confidence Intervals | Michael P. Fay |
| CSclone | 1.0 | Bayesian Nonparametric Modeling in R | Peter Wu |
| CSCNet | 0.1.2 | Fitting and Tuning Regularized Cause-Specific Cox Models with
Elastic-Net Penalty | Shahin Roshani |
| csdata | 2024.1.17 | Structural Data for Norway | Richard Aubrey White |
| cSEM | 0.5.0 | Composite-Based Structural Equation Modeling | Florian Schuberth |
| CSeqpat | 0.1.2 | Frequent Contiguous Sequential Pattern Mining of Text | Anantha Janakiraman |
| CSESA | 1.2.0 | CRISPR-Based Salmonella Enterica Serotype Analyzer | Xia Zhang |
| CSGo | 0.6.7 | Collecting Counter Strike Global Offensive Data | Adson Costanzi |
| cshapes | 2.0 | The CShapes 2.0 Dataset and Utilities | Luc Girardin |
| CSHShydRology | 1.4.0 | Canadian Hydrological Analyses | Kevin Shook |
| CSIndicators | 1.1.1 | Climate Services' Indicators Based on Sub-Seasonal to Decadal
Predictions | Victòria Agudetse |
| csmaps | 2023.5.22 | Preformatted Maps of Norway that Don't Need Geolibraries | Richard Aubrey White |
| CSMES | 1.0.1 | Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain
Cost Conditions | Koen W. De Bock |
| csmpv | 1.0.3 | Biomarker Confirmation, Selection, Modelling, Prediction, and
Validation | Aixiang Jiang |
| csn | 1.1.3 | Closed Skew-Normal Distribution | Dmitry Pavlyuk |
| csodata | 1.4.2 | Download Data from the CSO 'PxStat' API | Conor Crowley |
| cspec | 0.1.2 | Complete Discrete Fourier Transform (DFT) and Periodogram | Junho Yang |
| cspp | 0.3.3 | A Tool for the Correlates of State Policy Project Data | Caleb Lucas |
| csppData | 0.2.61 | Data Only: The Correlates of State Policy Project Dataset | Caleb Lucas |
| csranks | 1.2.2 | Statistical Tools for Ranks | Daniel Wilhelm |
| cssTools | 1.0 | Cognitive Social Structure Tools | Deniz Yenigun |
| cstab | 0.2-2 | Selection of Number of Clusters via Normalized Clustering
Instability | Jonas M. B. Haslbeck |
| CSTE | 2.0.0 | Covariate Specific Treatment Effect (CSTE) Curve | Wenjie Hu |
| cstidy | 2023.5.24 | Helpful Functions for Cleaning Surveillance Data | Richard Aubrey White |
| cstime | 2023.5.3 | Date and Time Functions for Public Health Purposes | Chi Zhang |
| CSTools | 5.2.0 | Assessing Skill of Climate Forecasts on Seasonal-to-Decadal
Timescales | Victoria Agudetse |
| csurvey | 1.9 | Constrained Regression for Survey Data | Xiyue Liao |
| csutil | 2023.4.25 | Common Base-R Problems Relating to Lists | Richard Aubrey White |
| csv | 0.6.2 | Read and Write CSV Files with Selected Conventions | Tim Bergsma |
| csvread | 1.2.2 | Fast Specialized CSV File Loader | Sergei Izrailev |
| csvwr | 0.1.7 | Read and Write CSV on the Web (CSVW) Tables and Metadata | Robin Gower |
| csvy | 0.3.0 | Import and Export CSV Data with a YAML Metadata Header | Thomas J. Leeper |
| cta | 1.3.0 | Contingency Table Analysis Based on ML Fitting of MPH Models | Qiansheng Zhu |
| CTAShiny | 0.1.0 | Interactive Application for Working with Contingency Tables | Kartikeya Bolar |
| ctbi | 2.0.5 | A Procedure to Clean, Decompose and Aggregate Timeseries | Francois Ritter |
| CTD | 1.2 | A Method for 'Connecting The Dots' in Weighted Graphs | Varduhi Petrosyan |
| ctf | 0.1.0 | Read and Write Column Text Format (CTF) | Clark Fitzgerald |
| ctgdist | 0.1.0 | Likert Category Distance Calculator | Huseyin Yildiz |
| ctgt | 2.0.1 | Closed Testing with Globaltest for Pathway Analysis | Ningning Xu |
| cthist | 2.1.6 | Clinical Trial Registry History | Benjamin Gregory Carlisle |
| cthreshER | 1.1.0 | Continuous Threshold Expectile Regression | Feipeng Zhang |
| ctl | 1.0.0-10 | Correlated Trait Locus Mapping | Danny Arends |
| CTM | 0.2 | A Text Mining Toolkit for Chinese Document | Jim Liu |
| ctmcd | 1.4.4 | Estimating the Parameters of a Continuous-Time Markov Chain from
Discrete-Time Data | Marius Pfeuffer |
| ctmcmove | 1.2.9 | Modeling Animal Movement with Continuous-Time Discrete-Space
Markov Chains | Ephraim Hanks |
| ctmle | 0.1.2 | Collaborative Targeted Maximum Likelihood Estimation | Cheng Ju |
| ctmm | 1.2.0 | Continuous-Time Movement Modeling | Christen H. Fleming |
| ctmva | 1.4.0 | Continuous-Time Multivariate Analysis | Biplab Paul |
| CTNote | 0.1.0 | CTN Outcomes, Treatments, and Endpoints | Gabriel Odom |
| cTOST | 1.0.0 | Finite Sample Correction of the Two One-Sided Tests in the
Univariate Framework | Younes Boulaguiem |
| ctpm | 1.0.1 | Continuous-Time Phylogenetic Modeling | Michael J. Noonan |
| ctqr | 2.1 | Censored and Truncated Quantile Regression | Paolo Frumento |
| ctrdata | 1.17.2 | Retrieve and Analyze Clinical Trials in Public Registers | Ralf Herold |
| ctrialsgov | 0.2.5 | Query Data from U.S. National Library of Medicine's Clinical
Trials Database | Taylor Arnold |
| ctrlGene | 1.0.1 | Assess the Stability of Candidate Housekeeping Genes | Shanliang Zhong |
| ctsem | 3.9.1 | Continuous Time Structural Equation Modelling | Charles Driver |
| ctsemOMX | 1.0.6 | Continuous Time SEM - 'OpenMx' Based Functions | Charles Driver |
| ctsfeatures | 1.2.2 | Analyzing Categorical Time Series | Angel Lopez-Oriona |
| CTShiny | 0.1.0 | Interactive Document for Working with Classification Tree
Analysis | Kartikeya Bolar |
| CTShiny2 | 0.1.0 | Interactive Document for Working with Classification Tree
Analysis | Kartikeya Bolar |
| CTT | 2.3.3 | Classical Test Theory Functions | John T. Willse |
| CTTinShiny | 0.1.0 | Shiny Interface for the CTT Package | John T. Willse |
| CTTShiny | 0.1 | Classical Test Theory via Shiny | William Kyle Hamilton |
| ctv | 0.9-5 | CRAN Task Views | Achim Zeileis |
| CUB | 1.1.5 | A Class of Mixture Models for Ordinal Data | Rosaria Simone |
| cubar | 0.5.0 | Codon Usage Bias Analysis | Hong Zhang |
| cubature | 2.1.0 | Adaptive Multivariate Integration over Hypercubes | Balasubramanian Narasimhan |
| cubble | 0.3.0 | A Vector Spatio-Temporal Data Structure for Data Analysis | H. Sherry Zhang |
| cubelyr | 1.0.2 | A Data Cube 'dplyr' Backend | Hadley Wickham |
| cubeview | 0.2.0 | View 3D Raster Cubes Interactively | Tim Appelhans |
| cubfits | 0.1-4 | Codon Usage Bias Fits | Wei-Chen Chen |
| cubicBsplines | 1.0.0 | Computation of a Cubic B-Spline Basis and Its Derivatives | Philippe Lambert |
| cubing | 1.0-5 | Rubik's Cube Solving | Alec Stephenson |
| Cubist | 0.4.2.1 | Rule- And Instance-Based Regression Modeling | Max Kuhn |
| cucumber | 1.0.2 | Behavior-Driven Development for R | Jakub Sobolewski |
| cuda.ml | 0.3.2 | R Interface for the RAPIDS cuML Suite of Libraries | Daniel Falbel |
| CUFF | 1.9 | Charles's Utility Function using Formula | Charles-Édouard Giguère |
| cultevo | 1.0.2 | Tools, Measures and Statistical Tests for Cultural Evolution | Kevin Stadler |
| CUMP | 2.0 | Analyze Multivariate Phenotypes by Combining Univariate Results | Shuo Li |
| cumprinc | 0.1 | Functions Centered Around Microsoft Excel Cumprinc Function | Jason Richardson |
| cumSeg | 1.3 | Change Point Detection in Genomic Sequences | Vito M.R. Muggeo |
| cumstats | 1.0 | Cumulative Descriptive Statistics | Arturo Erdely |
| cumulocityr | 0.1.0 | Client for the 'Cumulocity' API | Dmitriy Bolotov |
| cuperdec | 1.1.0 | Cumulative Percent Decay Curve Generator | James A. Fellows Yates |
| cuRe | 1.1.1 | Parametric Cure Model Estimation | Lasse Hjort Jakobsen |
| CureAuxSP | 0.0.1 | Mixture Cure Models with Auxiliary Subgroup Survival
Probabilities | Jie Ding |
| CureDepCens | 0.1.0 | Dependent Censoring Regression Models with Cure Fraction | Silvana Schneider |
| curephEM | 0.3.0 | NPMLE for Logistic-Cox Cure-Rate Model | Jue (Marquis) Hou |
| cureplots | 1.1.0 | CURE (Cumulative Residual) Plots | Guillermo Basulto-Elias |
| curl | 5.2.1 | A Modern and Flexible Web Client for R | Jeroen Ooms |
| currencyapi | 0.1.0 | Client for the 'currencyapi.com' Currency Conversion API | Dominik Kukacka |
| currentSurvival | 1.1 | Estimation of CCI and CLFS Functions | Eva Koritakova |
| currr | 0.1.2 | Apply Mapping Functions in Frequent Saving | Marcell Granat |
| curry | 0.1.1 | Partial Function Application with %<%, %-<%, and %><% | Thomas Lin Pedersen |
| cursr | 0.1.0 | Cursor and Terminal Manipulation | Chris Mann |
| curstatCI | 0.1.1 | Confidence Intervals for the Current Status Model | Kim Hendrickx |
| curtailment | 0.2.6 | Finds Binary Outcome Designs Using Stochastic Curtailment | Martin Law |
| curvecomp | 0.1.0 | Multiple Curve Comparisons Using Parametric Bootstrap | Christopher Murphy |
| curveDepth | 0.1.0.9 | Tukey Curve Depth and Distance in the Space of Curves | Pavlo Mozharovskyi |
| curvHDR | 1.2-2 | Filtering of Flow Cytometry Samples | Matt Wand |
| curvir | 0.1.1 | Specify Reserve Demand Curves | Nikolaos Kourentzes |
| cusp | 2.3.6 | Cusp-Catastrophe Model Fitting Using Maximum Likelihood | Raoul Grasman |
| custom.gauss.quad | 1.0.0 | Custom Made Gauss Quadrature Nodes and Weights | Paul Kabaila |
| CustomDerivative | 0.1.1 | Pricing Various Types of Custom Derivatives | Amit Kumar Jha |
| CustomerScoringMetrics | 1.0.0 | Evaluation Metrics for Customer Scoring Models Depending on
Binary Classifiers | Koen W. De Bock |
| customizedTraining | 1.2 | Customized Training for Lasso and Elastic-Net Regularized
Generalized Linear Models | Scott Powers |
| CustosAscensor | 0.1.0 | Costs Allocation for the Installation of an Elevator | Iago Montero Nunez |
| cusum | 0.4.1 | Cumulative Sum (CUSUM) Charts for Monitoring of Hospital
Performance | Lena Hubig |
| cusumcharter | 0.1.0 | Easier CUSUM Control Charts | John MacKintosh |
| CUSUMdesign | 1.1.5 | Compute Decision Interval and Average Run Length for CUSUM
Charts | Boxiang Wang |
| cutoff | 1.3 | Seek the Significant Cutoff Value | Jing Zhang |
| cutpointr | 1.1.2 | Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks | Christian Thiele |
| CutpointsOEHR | 0.1.2 | Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped
Relationships in Cox Model | Yimin Chen |
| cv | 1.1.0 | Cross-Validation of Regression Models | Georges Monette |
| cvap | 0.1.5 | Citizen Voting Age Population | Christopher T. Kenny |
| cvar | 0.5 | Compute Expected Shortfall and Value at Risk for Continuous
Distributions | Georgi N. Boshnakov |
| cvAUC | 1.1.4 | Cross-Validated Area Under the ROC Curve Confidence Intervals | Erin LeDell |
| cvCovEst | 1.2.2 | Cross-Validated Covariance Matrix Estimation | Philippe Boileau |
| cvcrand | 0.1.1 | Efficient Design and Analysis of Cluster Randomized Trials | Hengshi Yu |
| CVD | 1.0.2 | Color Vision Deficiencies | Jose Gama |
| CVEK | 0.1-2 | Cross-Validated Kernel Ensemble | Wenying Deng |
| cvequality | 0.2.0 | Tests for the Equality of Coefficients of Variation from
Multiple Groups | Ben Marwick |
| cvGEE | 0.3-0 | Cross-Validated Predictions from GEE | Dimitris Rizopoulos |
| CVglasso | 1.0 | Lasso Penalized Precision Matrix Estimation | Matt Galloway |
| cvmaPLFAM | 0.1.0 | Cross-Validation Model Averaging for Partial Linear Functional
Additive Models | Shishi Liu |
| cvmdisc | 0.1.0 | Cramer von Mises Tests for Discrete or Grouped Distributions | Shaun Zheng Sun |
| cvmgof | 1.0.3 | Cramer-von Mises Goodness-of-Fit Tests | Romain Azais |
| CvmortalityMult | 0.0.1 | Cross-Validation for Multi-Population Mortality Models | David Atance |
| cvms | 1.6.1 | Cross-Validation for Model Selection | Ludvig Renbo Olsen |
| CVR | 0.1.1 | Canonical Variate Regression | Chongliang Luo |
| CVrisk | 1.1.1 | Compute Risk Scores for Cardiovascular Diseases | Victor Castro |
| cvsem | 1.0.0 | SEM Model Comparison with K-Fold Cross-Validation | Anna Wysocki |
| CVST | 0.2-3 | Fast Cross-Validation via Sequential Testing | Tammo Krueger |
| CVThresh | 1.1.2 | Level-Dependent Cross-Validation Thresholding | Donghoh Kim |
| cvTools | 0.3.3 | Cross-Validation Tools for Regression Models | Andreas Alfons |
| cvwrapr | 1.0 | Tools for Cross Validation | Kenneth Tay |
| CVXR | 1.0-12 | Disciplined Convex Optimization | Anqi Fu |
| cwbtools | 0.4.1 | Tools to Create, Modify and Manage 'CWB' Corpora | Andreas Blaette |
| cwot | 0.1.0 | Cauchy Weighted Joint Test for Pharmacogenetics Analysis | Hong Zhang |
| cxhull | 0.7.4 | Convex Hull | Stéphane Laurent |
| cxr | 1.1.1 | A Toolbox for Modelling Species Coexistence in R | David Garcia-Callejas |
| cxxfunplus | 1.0.2 | Extend 'cxxfunction' by Saving the Dynamic Shared Objects | Jiqiang Guo |
| cycleRtools | 1.1.1 | Tools for Cycling Data Analysis | Jordan Mackie |
| cyclestreets | 1.0.1 | Cycle Routing and Data for Cycling Advocacy | Robin Lovelace |
| cyclocomp | 1.1.1 | Cyclomatic Complexity of R Code | Gabor Csardi |
| cycloids | 1.0.2 | Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoids,
and Epitrochoids | Peter Biber |
| cyclomort | 1.0.2 | Survival Modeling with a Periodic Hazard Function | Eliezer Gurarie |
| Cyclops | 3.4.0 | Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis | Marc A. Suchard |
| cyclotomic | 1.3.0 | The Field of Cyclotomic Numbers | Stéphane Laurent |
| cyjShiny | 1.0.42 | Cytoscape.js Shiny Widget (cyjShiny) | Augustin Luna |
| cylcop | 0.2.0 | Circular-Linear Copulas with Angular Symmetry for Movement Data | Florian Hodel |
| cymruservices | 0.5.0 | Query 'Team Cymru' 'IP' Address, Autonomous System Number
('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware'
Hash Data Services | Bob Rudis |
| cyphr | 1.1.4 | High Level Encryption Wrappers | Rich FitzJohn |
| cystiSim | 0.1.0 | Agent-Based Model for Taenia_solium Transmission and Control | Brecht Devleesschauwer |
| CytobankAPI | 2.2.1 | Cytobank API Wrapper for R | Stu Blair |
| cytofan | 0.1.0 | Plot Fan Plots for Cytometry Data using 'ggplot2' | Yann Abraham |
| cytometree | 2.0.2 | Automated Cytometry Gating and Annotation | Boris P Hejblum |
| cytominer | 0.2.2 | Methods for Image-Based Cell Profiling | Shantanu Singh |
| CytOpT | 0.9.4 | Optimal Transport for Gating Transfer in Cytometry Data with
Domain Adaptation | Boris Hejblum |
| CytoSimplex | 0.1.1 | Simplex Visualization of Cell Fate Similarity in Single-Cell
Data | Yichen Wang |
| czechrates | 0.2.4 | Czech Interest & Foreign Exchange Rates | Jindra Lacko |
| czso | 0.3.12 | Use Open Data from the Czech Statistical Office in R | Petr Bouchal |
| D2MCS | 1.0.1 | Data Driving Multiple Classifier System | Miguel Ferreiro-Díaz |
| D3mirt | 1.1.0 | Descriptive 3D Multidimensional Item Response Theory Modeling | Erik Forsberg |
| d3Network | 0.5.2.1 | Tools for creating D3 JavaScript network, tree, dendrogram, and
Sankey graphs from R | Christopher Gandrud |
| D3partitionR | 0.5.0 | Interactive Charts of Nested and Hierarchical Data with 'D3.js' | Antoine Guillot |
| d3plus | 0.1.0 | Seamless 'D3Plus' Integration | Mauricio Vargas |
| d3po | 0.5.5 | Fast and Beautiful Interactive Visualization for 'Markdown' and
'Shiny' | Mauricio Vargas Sepulveda |
| d3r | 1.1.0 | 'd3.js' Utilities for R | Kent Russell |
| d3Tree | 0.3.0 | Create Interactive Collapsible Trees with the JavaScript 'D3'
Library | Jonathan Sidi |
| d4storagehub4R | 0.4-3 | Interface to 'D4Science' 'StorageHub' API | Emmanuel Blondel |
| D4TAlink.light | 2.1.14 | FAIR Data - Workflow Management | Gregoire Thomas |
| DA | 1.2.0 | Discriminant Analysis for Evolutionary Inference | Xinghu Qin |
| DAAG | 1.25.4 | Data Analysis and Graphics Data and Functions | W. John Braun |
| DAAGbio | 0.63-4 | Data Sets and Functions, for Demonstrations with Expression
Arrays and Gene Sequences | John Maindonald |
| daarem | 0.7 | Damped Anderson Acceleration with Epsilon Monotonicity for
Accelerating EM-Like Monotone Algorithms | Nicholas Henderson |
| dabestr | 2023.9.12 | Data Analysis using Bootstrap-Coupled Estimation | Yishan Mai |
| dabr | 0.0.4 | Database Management with R | Roberto Villegas-Diaz |
| dacc | 0.0-3 | Detection and Attribution Analysis of Climate Change | Yan Li |
| DACF | 1.0.0 | Data Analysis with Ceiling and/or Floor Data | Qimin Liu |
| dad | 4.1.2 | Three-Way / Multigroup Data Analysis Through Densities | Pierre Santagostini |
| dadjoke | 1.0 | Displays a Dad Joke | Shambhavi Priyam |
| dadjokeapi | 1.0.2 | Return a Random Dad Joke | Jeffrey Hollister |
| dados | 0.1.0 | Translate Datasets to Portuguese | Riva Quiroga |
| dae | 3.2.25 | Functions Useful in the Design and ANOVA of Experiments | Chris Brien |
| daewr | 1.2-11 | Design and Analysis of Experiments with R | John Lawson |
| daff | 1.1.1 | Diff, Patch and Merge for Data.frames | Edwin de Jonge |
| dafishr | 1.0.0 | Download, Wrangle, and Analyse Vessel Monitoring System Data | Fabio Favoretto |
| dafs | 1.0-38 | Data Analysis for Forensic Scientists | James Curran |
| dagirlite | 0.1.0 | Spatial Vector Data for Danmarks Administrative Geografiske
Inddeling DAGI | Lars Boerty |
| dagitty | 0.3-4 | Graphical Analysis of Structural Causal Models | Johannes Textor |
| dagR | 1.2.1 | Directed Acyclic Graphs: Analysis and Data Simulation | Lutz P Breitling |
| dagwood | 0.1.4 | DAGs with Omitted Objects Displayed (DAGWOOD) | Noah Haber |
| dail | 1.5.2 | Data from Access to Information Law | Igor Laltuf |
| DAIME | 2.1.3 | Effects of Changing Deposition Rates | Niklas Hohmann |
| daiquiri | 1.1.1 | Data Quality Reporting for Temporal Datasets | T. Phuong Quan |
| daiR | 1.0.0 | Interface with Google Cloud Document AI API | Thomas Hegghammer |
| DAISIE | 4.4.1 | Dynamical Assembly of Islands by Speciation, Immigration and
Extinction | Rampal S. Etienne |
| DAISIEprep | 0.4.0 | Extracts Phylogenetic Island Community Data from Phylogenetic
Trees | Joshua W. Lambert |
| DAKS | 2.1-3 | Data Analysis and Knowledge Spaces | Ali Uenlue |
| DALEX | 2.4.3 | moDel Agnostic Language for Exploration and eXplanation | Przemyslaw Biecek |
| DALEXtra | 2.3.0 | Extension for 'DALEX' Package | Szymon Maksymiuk |
| DALSM | 0.9.1 | Nonparametric Double Additive Location-Scale Model (DALSM) | Philippe Lambert |
| daltoolbox | 1.0.767 | Leveraging Experiment Lines to Data Analytics | Eduardo Ogasawara |
| daltoolboxdp | 1.0.767 | Data Pre-Processing Extensions | Eduardo Ogasawara |
| DALY | 1.5.0 | The DALY Calculator - Graphical User Interface for Probabilistic
DALY Calculation in R | Brecht Devleesschauwer |
| dam | 0.0.1 | Data Analysis Metabolomics | Slavik Koval |
| damAOI | 0.0 | Create an 'Area of Interest' Around a Constructed Dam for
Comparative Impact Evaluations | Chris Littleboy |
| DamiaNN | 1.0.0 | Neural Network Numerai | Damian Siniakowicz |
| DAMOCLES | 2.3 | Dynamic Assembly Model of Colonization, Local Extinction and
Speciation | Rampal S. Etienne |
| dampack | 1.0.1 | Decision-Analytic Modeling Package | Greg Knowlton |
| damr | 0.3.7 | Interface to Drosophila Activity Monitor System Result Files | Quentin Geissmann |
| dams | 0.3.0 | Dams in the United States from the National Inventory of Dams
(NID) | Joseph Stachelek |
| DandEFA | 1.6 | Dandelion Plot for R-Mode Exploratory Factor Analysis | Artur Manukyan |
| dang | 0.0.16 | 'Dang' Associated New Goodies | Dirk Eddelbuettel |
| dani | 0.1-1 | Design and Analysis of Non-Inferiority Trials | Matteo Quartagno |
| DanielBiostatistics10th | 0.1.11 | Functions for Wayne W. Daniel's Biostatistics, Tenth Edition | Tingting Zhan |
| dann | 1.0.0 | Discriminant Adaptive Nearest Neighbor Classification | Greg McMahan |
| danstat | 0.2.0 | R Client for the Statistics Denmark Databank API | Valeri Voev |
| DAP | 1.0 | Discriminant Analysis via Projections | Tianying Wang |
| daqapo | 0.3.2 | Data Quality Assessment for Process-Oriented Data | Niels Martin |
| DArand | 0.0.1.2 | Differential Analysis with Random Reference Genes | Dorota Desaulle |
| Dark | 0.9.8 | The Analysis of Dark Adaptation Data | Jeremiah MF Kelly |
| DarkDiv | 0.3.0 | Estimating Dark Diversity and Site-Specific Species Pools | Carlos P. Carmona |
| darksky | 1.3.0 | Tools to Work with the 'Dark Sky' 'API' | Bob Rudis |
| dartR | 2.9.7 | Importing and Analysing 'SNP' and 'Silicodart' Data Generated by
Genome-Wide Restriction Fragment Analysis | Bernd Gruber |
| dartR.base | 0.65 | Analysing 'SNP' and 'Silicodart' Data - Basic Functions | Bernd Gruber |
| dartR.captive | 0.75 | Analysing 'SNP' Data to Support Captive Breeding | Bernd Gruber |
| dartR.data | 1.0.2 | Auxiliary Data Package for Our Main Package 'dartR' | Bernd Gruber |
| dartR.popgen | 0.32 | Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide
Restriction Fragment Analysis | Bernd Gruber |
| dartR.sim | 0.70 | Computer Simulations of 'SNP' Data | Jose L. Mijangos |
| dartR.spatial | 0.78 | Applying Landscape Genomic Methods on 'SNP' and 'Silicodart'
Data | Bernd Gruber |
| dartRverse | 0.51 | Install and Load the 'dartRverse' Suits of Packages | Bernd Gruber |
| dashboardthemes | 1.1.6 | Customise the Appearance of 'shinydashboard' Applications using
Themes | Nik Lilovski |
| Dasst | 0.3.4 | Tools for Reading, Processing and Writing 'DSSAT' Files | Homero Lozza |
| dat | 0.5.0 | Tools for Data Manipulation | Sebastian Warnholz |
| data.table | 1.15.4 | Extension of `data.frame` | Tyson Barrett |
| data.tree | 1.1.0 | General Purpose Hierarchical Data Structure | Christoph Glur |
| data.validator | 0.2.1 | Automatic Data Validation and Reporting | Marcin Dubel |
| data360r | 1.0.9 | Wrapper for 'TCdata360' and 'Govdata360' API | Ramin Aliyev |
| DatabaseConnector | 6.3.2 | Connecting to Various Database Platforms | Martijn Schuemie |
| DatabaseConnectorJars | 1.1.0 | JAR Dependencies for the 'DatabaseConnector' Package | Martijn Schuemie |
| DatabionicSwarm | 1.2.1 | Swarm Intelligence for Self-Organized Clustering | Michael Thrun |
| databraryr | 0.6.3 | Interact with the 'Databrary.org' API | Rick O. Gilmore |
| dataclass | 0.3.0 | Easily Create Structured Lists or Data Frames with Input
Validation | Chris Walker |
| DataClean | 1.0 | Data Cleaning | Xiaorui(Jeremy) Zhu |
| datacleanr | 1.0.3 | Interactive and Reproducible Data Cleaning | Alexander Hurley |
| DataCombine | 0.2.21 | Tools for Easily Combining and Cleaning Data Sets | Christopher Gandrud |
| dataCompareR | 0.1.4 | Compare Two Data Frames and Summarise the Difference | Sarah Johnston |
| datacutr | 0.1.0 | SDTM Datacut | Tim Barnett |
| datadictionary | 1.0.0 | Create a Data Dictionary | Bethany Jones |
| datadogr | 0.1.2 | R Client for 'Datadog' API | Hiroaki Yutani |
| DataEditR | 0.1.5 | An Interactive Editor for Viewing, Entering, Filtering & Editing
Data | Dillon Hammill |
| DataExplorer | 0.8.3 | Automate Data Exploration and Treatment | Boxuan Cui |
| DataFakeR | 0.1.3 | Generate Fake Data for Relational Databases | Krystian Igras |
| dataframeexplorer | 1.0.2 | Familiarity with Dataframes Before Data Manipulation | Ashrith Reddy |
| datafsm | 0.2.4 | Estimating Finite State Machine Models from Data | Jonathan M. Gilligan |
| datagovsgR | 1.0.0 | Call Real Time APIs from Data Gov Singapore | Clinton Wong |
| DataGraph | 1.2.14 | Export Data from 'R' to 'DataGraph' | David Adalsteinsson |
| DataLoader | 1.3 | Import Multiple File Types | Srivenkatesh Gandhi |
| dataMaid | 1.4.1 | A Suite of Checks for Identification of Potential Errors in a
Data Frame as Part of the Data Screening Process | Claus Thorn Ekstrøm |
| dataMeta | 0.1.1 | Create and Append a Data Dictionary for an R Dataset | Dania M. Rodriguez |
| DataMetProcess | 1.0.1 | Meteorological Data Processing | Wagner Martins dos Santos |
| datamods | 1.5.0 | Modules to Import and Manipulate Data in 'Shiny' | Victor Perrier |
| dataMojo | 1.0.0 | Reshape Data Table | Jiena McLellan |
| datana | 1.0.3 | Data and Functions to Accompany Analisis De Datos Con R | Christian Salas-Eljatib |
| datanugget | 1.2.4 | Create, and Refine Data Nuggets | Yajie Duan |
| dataonderivatives | 0.4.0 | Easily Source Publicly Available Data on Derivatives | Imanuel Costigan |
| dataone | 2.2.2 | R Interface to the DataONE REST API | Matthew B. Jones |
| datapack | 1.4.1 | A Flexible Container to Transport and Manipulate Data and
Associated Resources | Matthew B. Jones |
| datapasta | 3.1.0 | R Tools for Data Copy-Pasta | Miles McBain |
| dataprep | 0.1.5 | Efficient and Flexible Data Preprocessing Tools | Chun-Sheng Liang |
| dataPreparation | 1.1.1 | Automated Data Preparation | Emmanuel-Lin Toulemonde |
| dataquieR | 2.1.0 | Data Quality in Epidemiological Research | Stephan Struckmann |
| datardis | 0.0.4 | Data from the Doctor Who Series | Jonathan Kitt |
| dataReporter | 1.0.2 | Reproducible Data Screening Checks and Report of Possible Errors | Claus Thorn Ekstrøm |
| dataresqc | 1.1.1 | C3S Quality Control Tools for Historical Climate Data | Yuri Brugnara |
| dataRetrieval | 2.7.15 | Retrieval Functions for USGS and EPA Hydrology and Water Quality
Data | Laura DeCicco |
| datarium | 0.1.0 | Data Bank for Statistical Analysis and Visualization | Alboukadel Kassambara |
| datarobot | 2.18.6 | 'DataRobot' Predictive Modeling API | AJ Alon |
| datasailr | 0.8.11 | Row by Row Data Processing Tool, Using 'DataSailr' Script | Toshihiro Umehara |
| datasauRus | 0.1.8 | Datasets from the Datasaurus Dozen | Colin Gillespie |
| dataSDA | 0.1.0 | Data Sets for Symbolic Data Analysis | Han-Ming Wu |
| dataseries | 0.2.0 | Switzerland's Data Series in One Place | Christoph Sax |
| datasetjson | 0.2.0 | Read and Write CDISC Dataset JSON Files | Mike Stackhouse |
| datasets.load | 2.3.0 | Graphical Interface for Loading Datasets | Bastiaan quast |
| datasetsICR | 1.0 | Datasets from the Book "An Introduction to Clustering with R" | Paolo Giordani |
| DataSetsUni | 0.1 | A Collection of Univariate Data Sets | Muhammad Imran |
| DataSpaceR | 0.7.6 | Interface to 'the CAVD DataSpace' | Jason Taylor |
| dataspice | 1.1.0 | Create Lightweight Schema.org Descriptions of Data | Bryce Mecum |
| DatAssim | 1.0 | Data Assimilation | Svetlana Saarela |
| datastepr | 0.0.2 | An Implementation of a SAS-Style Data Step | Brandon Taylor |
| DatastreamDSWS2R | 1.9.7 | Provides a Link Between the 'Refinitiv Datastream' System and R | Charles Cara |
| DATAstudio | 1.1 | The Research Data Warehouse of Miguel de Carvalho | Miguel de Carvalho |
| dataverifyr | 0.1.8 | A Lightweight, Flexible, and Fast Data Validation Package that
Can Handle All Sizes of Data | David Zimmermann-Kollenda |
| dataverse | 0.3.13 | Client for Dataverse 4+ Repositories | Shiro Kuriwaki |
| DataVisualizations | 1.3.2 | Visualizations of High-Dimensional Data | Michael Thrun |
| DataViz | 0.2.8 | Data Visualisation Using an HTML Page and 'D3.js' | Timothy Bell |
| datawizard | 0.10.0 | Easy Data Wrangling and Statistical Transformations | Etienne Bacher |
| datazoom.amazonia | 1.1.0 | Simplify Access to Data from the Amazon Region | Igor Rigolon Veiga |
| date | 1.2-42 | Functions for Handling Dates | Kurt Hornik |
| dateback | 1.0.3 | Collect and Install R Packages on a Specified Date with
Dependencies | Ryota Suzuki |
| datefixR | 1.6.1 | Standardize Dates in Different Formats or with Missing Data | Nathan Constantine-Cooke |
| datelife | 0.6.8 | Scientific Data on Time of Lineage Divergence for Your Taxa | Luna L. Sanchez Reyes |
| daterangepicker | 0.2.0 | Create a Shiny Date-Range Input | Sebastian Gatscha |
| datetime | 0.1.4 | Nominal Dates, Times, and Durations | Tim Bergsma |
| datetimeoffset | 0.3.1 | Datetimes with Optional UTC Offsets and/or Heterogeneous Time
Zones | Trevor L Davis |
| DateTimeRangePicker | 1.1.0 | A Datetime Range Picker Widget for Usage in 'Shiny' Applications | Stéphane Laurent |
| datetimeutils | 0.6-4 | Utilities for Dates and Times | Enrico Schumann |
| datetoiso | 0.2.0 | Modify Dates to ISO Standard ("International Organization for
Standardization") | Lukasz Andrzejewski |
| dateutils | 0.1.5 | Date Utils | Seth Leonard |
| datoramar | 0.1.0 | Interface to the 'Datorama' API | Kade Killary |
| datos | 0.5.1 | Traduce al Español Varios Conjuntos de Datos de Práctica | Riva Quiroga |
| datplot | 1.1.1 | Preparation of Object Dating Ranges for Density Plots (Aoristic
Analysis) | Lisa Steinmann |
| datr | 0.1.0 | 'Dat' Protocol Interface | Chris Hartgerink |
| datrProfile | 0.1.0 | Column Profile for Tables and Datasets | Arnaldo Vitaliano |
| dauphin | 0.3.1 | Compact Standard for Australian Phone Numbers | Hugh Parsonage |
| Davies | 1.2-0 | The Davies Quantile Function | Robin K. S. Hankin |
| dawai | 1.2.6 | Discriminant Analysis with Additional Information | David Conde |
| daymetr | 1.7.1 | Interface to the 'Daymet' Web Services | Koen Hufkens |
| daySupply | 0.1.0 | Calculating Days' Supply and Daily Dose of Prescriptions | Abdollah Safari |
| dbacf | 0.2.8 | Autocovariance Estimation via Difference-Based Methods | Inder Tecuapetla-Gómez
|
| dbarts | 0.9-26 | Discrete Bayesian Additive Regression Trees Sampler | Vincent Dorie |
| dbcsp | 0.0.2.1 | Distance-Based Common Spatial Patterns | Itsaso Rodríguez-Moreno |
| dbd | 0.0-22 | Discretised Beta Distribution | Rolf Turner |
| DBEST | 1.8 | Detecting Breakpoints and Estimating Segments in Trend | Hristo Tomov |
| DBfit | 2.0 | A Double Bootstrap Method for Analyzing Linear Models with
Autoregressive Errors | Shaofeng Zhang |
| dbflobr | 0.2.2 | Read and Write Files to SQLite Databases | Evan Amies-Galonski |
| dbGaPCheckup | 1.1.0 | dbGaP Checkup | Lacey W. Heinsberg |
| dbglm | 1.0.0 | Generalised Linear Models by Subsampling and One-Step Polishing | Shangqing Cao |
| DBHC | 0.0.3 | Sequence Clustering with Discrete-Output HMMs | Gabriel Budel |
| dbhydroR | 0.2-8 | 'DBHYDRO' Hydrologic and Water Quality Data | Joseph Stachelek |
| DBI | 1.2.2 | R Database Interface | Kirill Müller |
| DBItest | 1.8.1 | Testing DBI Backends | Kirill Müller |
| dblcens | 1.1.9 | Compute the NPMLE of Distribution Function from Doubly Censored
Data, Plus the Empirical Likelihood Ratio for F(T) | Yifan Yang |
| dBlockmodeling | 0.2.3 | Deterministic Blockmodeling of Signed, One-Mode and Two-Mode
Networks | Aleš Žiberna |
| dblr | 0.1.0 | Discrete Boosting Logistic Regression | Nailong Zhang |
| dbMC | 1.0.0 | Confidence Interval for Matrix Completion via De-Biased
Estimator | The Tien Mai |
| DBModelSelect | 0.2.0 | Distribution-Based Model Selection | Scott H. Koeneman |
| dbmss | 2.9-0 | Distance-Based Measures of Spatial Structures | Eric Marcon |
| dbnlearn | 0.1.0 | Dynamic Bayesian Network Structure Learning, Parameter Learning
and Forecasting | Robson Fernandes |
| DBNMFrank | 0.1.0 | Rank Selection for Non-Negative Matrix Factorization | Yun Cai |
| dbnR | 0.7.8 | Dynamic Bayesian Network Learning and Inference | David Quesada |
| dbparser | 2.0.2 | Drugs Databases Parser | Mohammed Ali |
| dbplot | 0.3.3 | Simplifies Plotting Data Inside Databases | Edgar Ruiz |
| dbplyr | 2.5.0 | A 'dplyr' Back End for Databases | Hadley Wickham |
| DBpower | 0.1.0 | Finite Sample Power Calculations for Detection Boundary Tests | Ryan Sun |
| DBR | 1.4.1 | Discrete Beta Regression | Alireza Mahani |
| dbscan | 1.1-12 | Density-Based Spatial Clustering of Applications with Noise
(DBSCAN) and Related Algorithms | Michael Hahsler |
| dbstats | 2.0.2 | Distance-Based Statistics | Eva Boj |
| dbWebForms | 0.1.0 | Produce R Functions to Create HTML Forms Based on SQL Meta Data | Timothy Conwell |
| dbx | 0.3.1 | A Fast, Easy-to-Use Database Interface | Andrew Kane |
| dc3net | 1.2.0 | Inferring Condition-Specific Networks via Differential Network
Inference | Gokmen Altay |
| DCCA | 0.1.1 | Detrended Fluctuation and Detrended Cross-Correlation Analysis | Taiane Schaedler Prass |
| DCchoice | 0.2.0 | Analyzing Dichotomous Choice Contingent Valuation Data | Hideo Aizaki |
| dccmidas | 0.1.2 | DCC Models with GARCH and GARCH-MIDAS Specifications in the
Univariate Step, RiskMetrics, Moving Covariance and Scalar and
Diagonal BEKK Models | Vincenzo Candila |
| dccpp | 0.1.0 | Fast Computation of Distance Correlations | Jonathan Berrisch |
| DCEM | 2.0.5 | Clustering Big Data using Expectation Maximization Star (EM*)
Algorithm | Sharma Parichit |
| DCEmgmt | 0.0.1 | DCE Data Reshaping and Processing | Daniel Perez-Troncoso |
| DCEtool | 1.1.0 | Efficient and Accessible Discrete Choice Experiments | Daniel Perez Troncoso |
| DCG | 0.9.3 | Data Cloud Geometry (DCG): Using Random Walks to Find Community
Structure in Social Network Analysis | Jessica Vandeleest |
| DChaos | 0.1-7 | Chaotic Time Series Analysis | Julio E. Sandubete |
| dChipIO | 0.1.5 | Methods for Reading dChip Files | Henrik Bengtsson |
| dcifer | 1.2.1 | Genetic Relatedness Between Polyclonal Infections | Inna Gerlovina |
| DCL | 0.1.2 | Claims Reserving under the Double Chain Ladder Model | Maria Dolores Martinez-Miranda |
| DCLEAR | 1.0.13 | Distance Based Cell Lineage Reconstruction | Il-Youp Kwak |
| dclone | 2.3-2 | Data Cloning and MCMC Tools for Maximum Likelihood Methods | Peter Solymos |
| dclust | 0.1.0 | Divisive Hierarchical Clustering | Shaun Wilkinson |
| DCluster | 0.2-10 | Functions for the Detection of Spatial Clusters of Diseases | Virgilio Gómez-Rubio |
| DClusterm | 1.0-1 | Model-Based Detection of Disease Clusters | Virgilio Gomez-Rubio |
| dcm2 | 1.0.2 | Calculating the M2 Model Fit Statistic for Diagnostic
Classification Models | Jeffrey Hoover |
| dcmle | 0.4-1 | Hierarchical Models Made Easy with Data Cloning | Peter Solymos |
| dcmodify | 0.9.0 | Modify Data Using Externally Defined Modification Rules | Mark van der Loo |
| DCODE | 1.0 | List Linear n-Peptide Constraints for Overlapping Protein
Regions | Sophie Lebre |
| dcortools | 0.1.6 | Providing Fast and Flexible Functions for Distance Correlation
Analysis | Dominic Edelmann |
| dcorVS | 1.0 | Variable Selection Algorithms Using the Distance Correlation | Michail Tsagris |
| dcov | 0.1.1 | A Fast Implementation of Distance Covariance | Hang Weiqiang |
| dCovTS | 1.4 | Distance Covariance and Correlation for Time Series Analysis | Michail Tsagris |
| DCPO | 0.5.3 | Dynamic Comparative Public Opinion | Frederick Solt |
| DCSmooth | 1.1.2 | Nonparametric Regression and Bandwidth Selection for Spatial
Models | Bastian Schaefer |
| dcTensor | 1.2.0 | Discrete Matrix/Tensor Decomposition | Koki Tsuyuzaki |
| dCUR | 1.0.1 | Dimension Reduction with Dynamic CUR | Cesar Gamboa |
| dcurver | 0.9.2 | Utility Functions for Davidian Curves | Oğuzhan Öğreden |
| dcurves | 0.4.0 | Decision Curve Analysis for Model Evaluation | Daniel D. Sjoberg |
| ddalpha | 1.3.15 | Depth-Based Classification and Calculation of Data Depth | Oleksii Pokotylo |
| ddc | 1.0.1 | Distance Density Clustering Algorithm | Ruizhe Ma |
| DDD | 5.2.2 | Diversity-Dependent Diversification | Rampal S. Etienne |
| dde | 1.0.5 | Solve Delay Differential Equations | Rich FitzJohn |
| DDHFm | 1.1.3 | Variance Stabilization by Data-Driven Haar-Fisz (for
Microarrays) | Guy Nason |
| ddi | 0.1.0 | The Data Defect Index for Samples that May not be IID | Shiro Kuriwaki |
| ddiv | 0.1.1 | Data Driven I-v Feature Extraction | Megan M. Morbitzer |
| DDIwR | 0.18 | DDI with R | Adrian Dusa |
| DDL | 1.0.2 | Doubly Debiased Lasso (DDL) | Zijian Guo |
| DDM | 1.0-0 | Death Registration Coverage Estimation | Tim Riffe |
| ddml | 0.2.0 | Double/Debiased Machine Learning | Thomas Wiemann |
| DDoutlier | 0.1.0 | Distance & Density-Based Outlier Detection | Jacob H. Madsen |
| ddp | 0.0.3 | Desirable Dietary Pattern | Weksi Budiaji |
| ddpca | 1.1 | Diagonally Dominant Principal Component Analysis | Fan Yang |
| ddpcr | 1.15.2 | Analysis and Visualization of Droplet Digital PCR in R and on
the Web | Dean Attali |
| ddplot | 0.0.1 | Create D3 Based SVG Graphics | Mohamed El Fodil Ihaddaden |
| DDPM | 0.1.0 | Data Sets for Discrete Probability Models | Muhammad Imran |
| DDPNA | 0.3.3 | Disease-Drived Differential Proteins Co-Expression Network
Analysis | Kefu Liu |
| DDRTree | 0.1.5 | Learning Principal Graphs with DDRTree | Xiaojie Qiu |
| ddsPLS | 1.2.1 | Data-Driven Sparse Partial Least Squares | Hadrien Lorenzo |
| ddst | 1.4 | Data Driven Smooth Tests | Przemyslaw Biecek |
| ddtlcm | 0.2.1 | Latent Class Analysis with Dirichlet Diffusion Tree Process
Prior | Mengbing Li |
| deadband | 0.1.0 | Statistical Deadband Algorithms Comparison | Nunzio Torrisi |
| deal | 1.2-42 | Learning Bayesian Networks with Mixed Variables | Claus Dethlefsen |
| deaR | 1.4.1 | Conventional and Fuzzy Data Envelopment Analysis | Vicente Bolos |
| debar | 0.1.1 | A Post-Clustering Denoiser for COI-5P Barcode Data | Cameron M. Nugent |
| DEBBI | 0.1.0 | Differential Evolution-Based Bayesian Inference | Brendan Matthew Galdo |
| debest | 0.1.0 | Duration Estimation for Biomarker Enrichment Studies and Trials | Hong Zhang |
| DebiasInfer | 0.2 | Efficient Inference on High-Dimensional Linear Model with
Missing Outcomes | Yikun Zhang |
| deBif | 0.1.8 | Bifurcation Analysis of Ordinary Differential Equation Systems | Andre M. de Roos |
| deBInfer | 0.4.4 | Bayesian Inference for Differential Equations | Philipp H Boersch-Supan |
| debkeepr | 0.1.1 | Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping | Jesse Sadler |
| DeBoinR | 1.0 | Box-Plots and Outlier Detection for Probability Density
Functions | Alexander C. Murph |
| debugme | 1.1.0 | Debug R Packages | Gábor Csárdi |
| debugr | 0.0.1 | Debug Tool to Watch Objects/Expressions While Running an R
Script | Joachim Zuckarelli |
| DeCAFS | 3.3.3 | Detecting Changes in Autocorrelated and Fluctuating Signals | Gaetano Romano |
| DECIDE | 1.3 | DEComposition of Indirect and Direct Effects | Christiana Kartsonaki |
| decido | 0.3.0 | Bindings for 'Mapbox' Ear Cutting Triangulation Library | Michael Sumner |
| decision | 0.1.0 | Statistical Decision Analysis | Partha Sarathi Bishnu |
| decisionSupport | 1.114 | Quantitative Support of Decision Making under Uncertainty | Eike Luedeling |
| deckgl | 0.3.0 | An R Interface to 'deck.gl' | Stefan Kuethe |
| declared | 0.24 | Functions for Declared Missing Values | Adrian Dusa |
| DeclareDesign | 1.0.8 | Declare and Diagnose Research Designs | Graeme Blair |
| decode | 1.2 | Differential Co-Expression and Differential Expression Analysis | Thomas Lui |
| decoder | 1.2.2 | Decode Coded Variables to Plain Text and the Other Way Around | Erik Bulow |
| decompDL | 0.1.0 | Decomposition Based Deep Learning Models for Time Series
Forecasting | Kapil Choudhary |
| decomposedPSF | 0.2 | Time Series Prediction with PSF and Decomposition Methods (EMD
and EEMD) | Neeraj Bokde |
| DecomposeR | 1.0.6 | Empirical Mode Decomposition for Cyclostratigraphy | Sebastien Wouters |
| decompr | 6.4.0 | Global Value Chain Decomposition | Bastiaan Quast |
| decon | 1.3-4 | Deconvolution Estimation in Measurement Error Models | Xiao-Feng Wang |
| deconstructSigs | 1.8.0 | Identifies Signatures Present in a Tumor Sample | Rachel Rosenthal |
| deconvolveR | 1.2-1 | Empirical Bayes Estimation Strategies | Balasubramanian Narasimhan |
| decor | 1.0.2 | Retrieve Code Decorations | Davis Vaughan |
| DecorateR | 0.1.2 | Fit and Deploy DECORATE Trees | Matthias Bogaert |
| decorators | 0.3.0 | Extend the Behaviour of a Function without Explicitly Modifying
it | Harel Lustiger |
| Deducer | 0.7-9 | A Data Analysis GUI for R | Ian Fellows |
| deducorrect | 1.3.7 | Deductive Correction, Deductive Imputation, and Deterministic
Correction | Mark van der Loo |
| deductive | 1.0.0 | Data Correction and Imputation Using Deductive Methods | Mark van der Loo |
| DeductiveR | 1.0.0 | Deductive Rational Method | Alonso Arriagada |
| deduped | 0.2.0 | Making "Deduplicated" Functions | Or Gadish |
| dedupewider | 0.1.0 | Deduplication Across Multiple Columns | Grzegorz Smoliński |
| deep | 0.1.0 | A Neural Networks Framework | Brian |
| deepdep | 0.4.3 | Visualise and Explore the Deep Dependencies of R Packages | Dominik Rafacz |
| deepdive | 1.0.4 | Deep Learning for General Purpose | Rajesh Balakirshnan |
| deepgmm | 0.2.1 | Deep Gaussian Mixture Models | Suren Rathnayake |
| deepgp | 1.1.1 | Bayesian Deep Gaussian Processes using MCMC | Annie S. Booth |
| deeplr | 2.0.1 | Interface to the 'DeepL' Translation API | David Zumbach |
| deepMOU | 0.1.1 | Clustering of Short Texts by Mixture of Unigrams and Its Deep
Extensions | Martin D'Ippolito |
| deepnet | 0.2.1 | Deep Learning Toolkit in R | Xiao Rong |
| deepNN | 1.2 | Deep Learning | Benjamin Taylor |
| deepredeff | 0.1.1 | Deep Learning Prediction of Effectors | Ruth Kristianingsih |
| deepregression | 1.0.0 | Fitting Deep Distributional Regression | David Ruegamer |
| deepRstudio | 0.0.9 | Seamless Language Translation in 'RStudio' using 'DeepL' API and
'Rstudioapi' | Satoshi Kume |
| deeptime | 1.1.1 | Plotting Tools for Anyone Working in Deep Time | William Gearty |
| deeptrafo | 0.1-1 | Fitting Deep Conditional Transformation Models | Lucas Kook |
| DEET | 1.0.11 | Differential Expression Enrichment Tool | Dustin Sokolowski |
| DEEVD | 1.2.3 | Density Estimation by Extreme Value Distributions | Javaria Ahmad Khan |
| default | 1.0.0 | Change the Default Arguments in R Functions | Nick Golding |
| defineOptions | 0.9 | Define and Parse Command Line Options | Toshihiro Umehara |
| defineR | 0.0.4 | Creates Define XML Documents | David Bosak |
| deFit | 0.2.1 | Fitting Differential Equations to Time Series Data | Yueqin Hu |
| deflateBR | 1.1.2 | Deflate Nominal Brazilian Reais | Fernando Meireles |
| deflist | 0.2.0 | Deferred List - A Read-Only List-Like Object with Deferred
Access | Bradley Buchsbaum |
| deforestable | 3.1.1 | Classify RGB Images into Forest or Non-Forest | Dmitry Otryakhin |
| deform | 1.0.0 | Spatial Deformation and Dimension Expansion Gaussian Processes | Ben Youngman |
| deformula | 0.1.2 | Integration of One-Dimensional Functions with Double Exponential
Formulas | Hiroyuki Okamura |
| degday | 0.4.0 | Compute Degree Days | Andy Lyons |
| DEGRE | 0.2.0 | Inferring Differentially Expressed Genes using Generalized
Linear Mixed Models | Douglas Terra Machado |
| degreenet | 1.3-5 | Models for Skewed Count Distributions Relevant to Networks | Mark S. Handcock |
| degross | 0.9.0 | Density Estimation from GROuped Summary Statistics | Philippe Lambert |
| dejaVu | 0.3.0 | Multiple Imputation for Recurrent Events | Jonathan Bartlett |
| Delaporte | 8.4.0 | Statistical Functions for the Delaporte Distribution | Avraham Adler |
| delayed | 0.4.0 | A Framework for Parallelizing Dependent Tasks | Jeremy Coyle |
| DelayedEffect.Design | 1.1.3 | Sample Size and Power Calculations using the APPLE, SEPPLE,
APPLE+ and SEPPLE+ Methods | Bill Wheeler |
| deldir | 2.0-4 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation | Rolf Turner |
| Delta | 0.2.0.3 | Measure of Agreement Between Two Raters | Antonio Rodriguez |
| deltaccd | 1.0.2 | Quantify Rhythmic Gene Co-Expression Relative to a Reference | Jake Hughey |
| DeltaMAN | 0.5.0 | Delta Measurement of Agreement for Nominal Data | Ana D. Maldonado |
| deltaPlotR | 1.6 | Identification of Dichotomous Differential Item Functioning
(DIF) using Angoff's Delta Plot Method | David Magis |
| DELTD | 2.6.8 | Kernel Density Estimation using Lifetime Distributions | Javaria Ahmad Khan |
| DEM | 0.0.0.2 | The Distributed EM Algorithms in Multivariate Gaussian Mixture
Models | Qian Wang |
| dematel | 0.1.0 | Decision Making Trial and Evaluation Laboratory Technique in R | Muhlis Ozdemir |
| demic | 2.0.0 | Dynamic Estimator of Microbial Communities | Charlie Bushman |
| deming | 1.4 | Deming, Theil-Sen, Passing-Bablock and Total Least Squares
Regression | Terry Therneau |
| DemoDecomp | 1.0.1 | Decompose Demographic Functions | Tim Riffe |
| demodelr | 1.0.1 | Simulating Differential Equations with Data | John Zobitz |
| demogR | 0.6.0 | Analysis of Age-Structured Demographic Models | Hana Sevcikova |
| DemografixeR | 0.1.1 | Extrapolate Gender, Age and Nationality of a Name | Matthias Brenninkmeijer |
| demoGraphic | 0.1.0 | Providing Demographic Table with the P-Value, Standardized Mean
Difference Value | Loan Robinson |
| DemographicTable | 0.1.7 | Creating Demographic Table | Tingting Zhan |
| demography | 2.0 | Forecasting Mortality, Fertility, Migration and Population Data | Rob Hyndman |
| demoKde | 1.0.1 | Kernel Density Estimation for Demonstration Purposes | Bill Venables |
| DemoKin | 1.0.3 | Estimate Population Kin Distribution | Iván Williams |
| demoShiny | 0.1 | Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps | Sigbert Klinke |
| DEMOVA | 1.0 | DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using
Test Set | Vinca Prana |
| demu | 0.3.0 | Optimal Design Emulators via Point Processes | Matthew T. Pratola |
| dendextend | 1.17.1 | Extending 'dendrogram' Functionality in R | Tal Galili |
| dendRoAnalyst | 0.1.5 | A Tool for Processing and Analyzing Dendrometer Data | Sugam Aryal |
| dendroextras | 0.2.3 | Extra Functions to Cut, Label and Colour Dendrogram Clusters | Gregory Jefferis |
| dendrometry | 0.0.2 | Forest Estimations and Dendrometric Computations | Narcisse Yehouenou |
| DendroSync | 0.1.4 | A Set of Tools for Calculating Spatial Synchrony Between
Tree-Ring Chronologies | Josu G. Alday |
| dendroTools | 1.2.11 | Linear and Nonlinear Methods for Analyzing Daily and Monthly
Dendroclimatological Data | Jernej Jevsenak |
| DendSer | 1.0.2 | Dendrogram Seriation: Ordering for Visualisation | Catherine Hurley |
| dendsort | 0.3.4 | Modular Leaf Ordering Methods for Dendrogram Nodes | Evan Biederstedt |
| denguedatahub | 1.0.4 | A Tidy Format Datasets of Dengue by Country | Thiyanga S. Talagala |
| denoiSeq | 0.1.1 | Differential Expression Analysis Using a Bottom-Up Model | Gershom Buri |
| denoiseR | 1.0.2 | Regularized Low Rank Matrix Estimation | Julie Josse |
| denovolyzeR | 0.2.0 | Statistical Analyses of De Novo Genetic Variants | James Ware |
| denseFLMM | 0.1.2 | Functional Linear Mixed Models for Densely Sampled Data | Jona Cederbaum |
| densEstBayes | 1.0-2.2 | Density Estimation via Bayesian Inference Engines | Matt P. Wand |
| densitr | 0.2 | Analysing Density Profiles from Resistance Drilling of Trees | Luka Krajnc |
| densityarea | 0.1.0 | Polygons of Bivariate Density Distributions | Josef Fruehwald |
| densityClust | 0.3.3 | Clustering by Fast Search and Find of Density Peaks | Thomas Lin Pedersen |
| DensParcorr | 1.1 | Dens-Based Method for Partial Correlation Estimation in Large
Scale Brain Networks | Yikai Wang |
| densratio | 0.2.1 | Density Ratio Estimation | Koji Makiyama |
| denstrip | 1.5.4 | Density Strips and Other Methods for Compactly Illustrating
Distributions | Christopher Jackson |
| denvax | 0.1.2 | Simple Dengue Test and Vaccinate Cost Thresholds | Carl A. B. Pearson |
| DEoptim | 2.2-8 | Global Optimization by Differential Evolution | Katharine Mullen |
| DEoptimR | 1.1-3 | Differential Evolution Optimization in Pure R | Eduardo L. T. Conceicao |
| depcache | 0.1-2 | Cache R Expressions, Taking Their Dependencies into Account | Ivan Krylov |
| DepCens | 0.2.3 | Dependent Censoring Regression Models | Silvana Schneider |
| depcoeff | 0.0.1 | Dependency Coefficients | Eckhard Liebscher |
| depend.truncation | 3.0 | Statistical Methods for the Analysis of Dependently Truncated
Data | Takeshi Emura |
| depigner | 0.9.1 | A Utility Package to Help you Deal with "Pignas" | Corrado Lanera |
| DepLogo | 1.2.1 | Dependency Logo | Jan Grau |
| depmix | 0.9.16 | Dependent Mixture Models | Ingmar Visser |
| depmixS4 | 1.5-0 | Dependent Mixture Models - Hidden Markov Models of GLMs and
Other Distributions in S4 | Ingmar Visser |
| DEPONS2R | 1.2.2 | Read, Plot and Analyse Output from the DEPONS Model | Jacob Nabe-Nielsen |
| deps | 0.2.0 | Dependency Management with 'roxygen'-Style Comments | Peter Solymos |
| depth.plot | 0.1 | Multivariate Analogy of Quantiles | Somedip Karmakar |
| DepthProc | 2.1.5 | Statistical Depth Functions for Multivariate Analysis | Zygmunt Zawadzki |
| depthTools | 0.7 | Depth Tools Package | Aurora Torrente |
| DeRezende.Ferreira | 0.1.0 | Zero Coupon Yield Curve Modelling | Oleksandr Castello |
| Deriv | 4.1.3 | Symbolic Differentiation | Serguei Sokol |
| derivmkts | 0.2.5 | Functions and R Code to Accompany Derivatives Markets | Robert McDonald |
| DES | 1.0.0 | Discrete Event Simulation | Norm Matloff |
| desc | 1.4.3 | Manipulate DESCRIPTION Files | Gábor Csárdi |
| descomponer | 1.6 | Seasonal Adjustment by Frequency Analysis | Francisco Parra |
| descr | 1.1.8 | Descriptive Statistics | Jakson Aquino |
| describedata | 0.1.0 | Miscellaneous Descriptive Functions | Craig McGowan |
| DescribeDF | 0.2.1 | Description of a Data Frame | Sandip Garai |
| DescribeDisplay | 0.2.11 | An Interface to the 'DescribeDisplay' 'GGobi' Plugin | Dianne Cook |
| describer | 0.2.0 | Describe Data in R Using Common Descriptive Statistics | Paul Hendricks |
| descriptio | 1.3 | Descriptive Statistical Analysis | Nicolas Robette |
| DescriptiveRepresentationCalculator | 1.0.0 | Descriptive Representation Calculator: Characterizing Observed
and Expected Representation | Connor Jerzak |
| DescriptiveStats.OBeu | 1.3.2 | Descriptive Statistics 'OpenBudgets.eu' | Kleanthis Koupidis |
| DescriptiveWH | 1.0.3 | Descriptive Statistics | William Herrera-Caceres |
| descriptr | 0.5.2 | Generate Descriptive Statistics | Aravind Hebbali |
| DescrTab2 | 2.1.16 | Publication Quality Descriptive Statistics Tables | Jan Meis |
| descstat | 0.1-2 | Tools for Descriptive Statistics | Yves Croissant |
| descstatsr | 0.1.0 | Descriptive Univariate Statistics | Harish Kumar |
| desctable | 0.3.0 | Produce Descriptive and Comparative Tables Easily | Maxime Wack |
| DescTools | 0.99.54 | Tools for Descriptive Statistics | Andri Signorell |
| DescToolsAddIns | 1.10 | Interactive Functions to be Used as Shortcuts in 'RStudio' | Andri Signorell |
| deseats | 1.0.0 | Data-Driven Locally Weighted Regression for Trend and
Seasonality in TS | Dominik Schulz |
| Design.parameters | 0.1.0 | Parameters of the Experimental Designs | Vinaykumar L.N. |
| DesignCTPB | 1.1.3 | Design Clinical Trials with Potential Biomarker Effect | Yitao Lu |
| designer | 0.3.0 | 'Shiny' UI Prototype Builder | Ashley Baldry |
| designit | 0.5.0 | Blocking and Randomization for Experimental Design | Iakov I. Davydov |
| DesignLibrary | 0.1.10 | Library of Research Designs | Jasper Cooper |
| designmatch | 0.5.4 | Matched Samples that are Balanced and Representative by Design | Jose R. Zubizarreta |
| designr | 0.1.13 | Balanced Factorial Designs | Maximilian M. Rabe |
| designsize | 0.1.0 | Sample Size Calculation of Various Study Designs | Atanu Bhattacharjee |
| desiR | 1.2.2 | Desirability Functions for Ranking, Selecting, and Integrating
Data | Stanley E. Lazic |
| desirability | 2.1 | Function Optimization and Ranking via Desirability Functions | Max Kuhn |
| desirability2 | 0.0.1 | Desirability Functions for Multiparameter Optimization | Max Kuhn |
| desk | 1.1.1 | Didactic Econometrics Starter Kit | Soenke Hoffmann |
| desla | 0.3.0 | Desparsified Lasso Inference for Time Series | Robert Adamek |
| deSolve | 1.40 | Solvers for Initial Value Problems of Differential Equations
('ODE', 'DAE', 'DDE') | Thomas Petzoldt |
| desplot | 1.10 | Plotting Field Plans for Agricultural Experiments | Kevin Wright |
| details | 0.3.0 | Create Details HTML Tag for Markdown and Package Documentation | Jonathan Sidi |
| detect | 0.4-6 | Analyzing Wildlife Data with Detection Error | Peter Solymos |
| detectnorm | 1.0.0 | Detect Nonnormality in Meta-Analysis without Raw Data | Rongwei Sun |
| detector | 0.1.0 | Detect Data Containing Personally Identifiable Information | Paul Hendricks |
| detectors | 0.1.0 | Prediction Data from GPT Detectors | Simon Couch |
| detectR | 0.3.0 | Change Point Detection | Changryong Baek |
| detectRUNS | 0.9.6 | Detect Runs of Homozygosity and Runs of Heterozygosity in
Diploid Genomes | Filippo Biscarini |
| detectseparation | 0.3 | Detect and Check for Separation and Infinite Maximum Likelihood
Estimates | Ioannis Kosmidis |
| DetLifeInsurance | 0.1.3 | Life Insurance Premium and Reserves Valuation | Joaquin Auza |
| DetMCD | 0.0.5 | Implementation of the DetMCD Algorithm (Robust and Deterministic
Estimation of Location and Scatter) | Vakili Kaveh |
| detourr | 0.1.0 | Portable and Performant Tour Animations | Casper Hart |
| detpack | 1.1.3 | Density Estimation and Random Number Generation with
Distribution Element Trees | Daniel Meyer |
| DetR | 0.0.5 | Suite of Deterministic and Robust Algorithms for Linear
Regression | Kaveh Vakili |
| detrendeR | 1.0.5 | A Graphical User Interface (GUI) to Visualize and Analyze
Dendrochronological Data | Filipe Campelo |
| detrendr | 0.6.15 | Detrend Images | Rory Nolan |
| deTS | 1.0 | Tissue-Specific Enrichment Analysis | Guangsheng Pei |
| detzrcr | 0.3.1 | Compare Detrital Zircon Suites | Magnus Kristoffersen |
| devEMF | 4.4-2 | EMF Graphics Output Device | Philip Johnson |
| devFunc | 0.1 | Clear and Condense Argument Check for User-Defined Functions | Robin Van Oirbeek |
| devoid | 0.1.2 | A Graphic Device that Does Nothing | Thomas Lin Pedersen |
| Devore7 | 0.7.6 | Data sets from Devore's "Prob and Stat for Eng (7th ed)" | John Verzani |
| devRate | 0.2.4 | Quantify the Relationship Between Development Rate and
Temperature in Ectotherms | Francois Rebaudo |
| devtools | 2.4.5 | Tools to Make Developing R Packages Easier | Jennifer Bryan |
| DevTreatRules | 1.1.0 | Develop Treatment Rules with Observational Data | Jeremy Roth |
| dexter | 1.4.0 | Data Management and Analysis of Tests | Jesse Koops |
| dextergui | 0.2.6 | A Graphical User Interface for Dexter | Jesse Koops |
| dexterMST | 0.9.6 | CML and Bayesian Calibration of Multistage Tests | Timo Bechger |
| df2yaml | 0.3.1 | Convert Dataframe to 'YAML' | Yabing Song |
| DFA | 1.0.0 | Detrended Fluctuation Analysis | Victor Barreto Mesquita |
| DFA.CANCOR | 0.2.8 | Linear Discriminant Function and Canonical Correlation Analysis | Brian P. O'Connor |
| dfadjust | 1.0.5 | Degrees of Freedom Adjustment for Robust Standard Errors | Michal Kolesár |
| DFBA | 0.1.0 | Distribution-Free Bayesian Analysis | Daniel H. Barch |
| dfcomb | 3.1-1 | Phase I/II Adaptive Dose-Finding Design for Combination Studies | Jacques-Henri Jourdan |
| dfCompare | 1.0.0 | Compare Two Dataframes and Return Adds, Changes, and Deletes | Shawn Waldroff |
| dfcrm | 0.2-2.1 | Dose-Finding by the Continual Reassessment Method | Jimmy Duong |
| DFD | 0.1.0 | Extract Drugs from Differential Expression Data from LINCS
Database | Mohamed Soudy |
| dfdr | 0.2.0 | Automatic Differentiation of Simple Functions | Konrad Krämer |
| dfexpand | 0.0.2 | Automatically Expand Delimited Column Values into Multiple
Binary Columns with 'dfexpand' | Jeffery Painter |
| dfidx | 0.0-5 | Indexed Data Frames | Yves Croissant |
| DFIT | 1.1 | Differential Functioning of Items and Tests | Victor H. Cervantes |
| dfmeta | 1.0.0 | Meta-Analysis of Phase I Dose-Finding Early Clinical Trials | Artemis Toumazi |
| dfmirroR | 2.1.0 | Simulate a Data Frame Mirroring an Input and Produce Shareable
Simulation Code | Jacob Patterson-Stein |
| dfms | 0.2.1 | Dynamic Factor Models | Sebastian Krantz |
| dfmta | 1.7-3 | Phase I/II Adaptive Dose-Finding Design for MTA | Jacques-Henri Jourdan |
| dfoliatR | 0.3.0 | Detection and Analysis of Insect Defoliation Signals in Tree
Rings | Chris Guiterman |
| dfoptim | 2023.1.0 | Derivative-Free Optimization | Ravi Varadhan |
| Dforest | 0.4.2 | Decision Forest | Leihong Wu |
| dformula | 1.0 | Data Manipulation using Formula | Alessio Serafini |
| dfped | 1.1 | Extrapolation and Bridging of Adult Information in Early Phase
Dose-Finding Paediatrics Studies | Artemis Toumazi |
| dfphase1 | 1.2.0 | Phase I Control Charts (with Emphasis on Distribution-Free
Methods) | Giovanna Capizzi |
| dfrr | 0.1.5 | Dichotomized Functional Response Regression | Fatemeh Asgari |
| dfsaneacc | 1.0.2 | Accelerated Derivative-Free Method for Large-Scale Nonlinear
Systems of Equations | John L. Gardenghi |
| dfvad | 0.3.6 | Diewert and Fox's Method of Value Added Growth Decomposition | Shipei Zeng |
| dga | 2.0.1 | Capture-Recapture Estimation using Bayesian Model Averaging | Olivier Binette |
| dGAselID | 1.2 | Genetic Algorithm with Incomplete Dominance for Feature
Selection | Nicolae Teodor Melita |
| DGCA | 1.0.3 | Differential Gene Correlation Analysis | Andrew McKenzie |
| DGEAR | 0.1.3 | Differential Gene Expression Analysis with R | Koushik Bardhan |
| DGEobj | 1.1.2 | Differential Gene Expression (DGE) Analysis Results Data Object | Connie Brett |
| DGEobj.utils | 1.0.6 | Differential Gene Expression (DGE) Analysis Utility Toolkit | Connie Brett |
| dggridR | 3.0.0 | Discrete Global Grids | Richard Barnes |
| dglars | 2.1.7 | Differential Geometric Least Angle Regression | Luigi Augugliaro |
| dglm | 1.8.6 | Double Generalized Linear Models | Gordon Smyth |
| DGLMExtPois | 0.2.3 | Double Generalized Linear Models Extending Poisson Regression | Francisco Martinez |
| DGM | 1.7.4 | Dynamic Graphical Models | Simon Schwab |
| dgof | 1.4 | Discrete Goodness-of-Fit Tests | Taylor B. Arnold |
| dgpsi | 2.4.0 | Interface to 'dgpsi' for Deep and Linked Gaussian Process
Emulations | Deyu Ming |
| dgumbel | 1.0.1 | The Gumbel Distribution Functions and Gradients | Berent Ånund Strømnes Lunde |
| DHARMa | 0.4.6 | Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
Regression Models | Florian Hartig |
| DHBins | 1.1 | Hexmaps for NZ District Health Boards | Thomas Lumley |
| dhga | 0.1 | Differential Hub Gene Analysis | Samarendra Das |
| dhglm | 2.0 | Double Hierarchical Generalized Linear Models | Maengseok Noh |
| dhh | 0.0.1 | A Heavy-Headed Distribution | Runlong Tang |
| dhis2r | 0.1.1 | Client for the 'DHIS2' Web API | Robinson Amanyiraho |
| dhlabR | 1.0.2 | National Library of Norway Quantitative Text Data API Tools | Lars Tungland |
| DHS.rates | 0.9.2 | Calculates Demographic Indicators | Mahmoud Elkasabi |
| dhsage | 0.1.0 | Reproductive Age Female Data of Various Demographic Health
Surveys | Muhammad Imran |
| dHSIC | 2.1 | Independence Testing via Hilbert Schmidt Independence Criterion | Niklas Pfister |
| di | 1.1.4 | Deficit Index (DI) | Ilya Y. Zhbannikov |
| diagis | 0.2.3 | Diagnostic Plot and Multivariate Summary Statistics of Weighted
Samples from Importance Sampling | Jouni Helske |
| diagL1 | 1.0.0 | Routines for Fit, Inference and Diagnostics in Linear L1 and LAD
Models | Kevin Allan Sales Rodrigues |
| diagmeta | 0.5-1 | Meta-Analysis of Diagnostic Accuracy Studies with Several
Cutpoints | Guido Schwarzer |
| diagonals | 6.4.0 | Block Diagonal Extraction or Replacement | Bastiaan Quast |
| diagram | 1.6.5 | Functions for Visualising Simple Graphs (Networks), Plotting
Flow Diagrams | Karline Soetaert |
| DiagrammeR | 1.0.11 | Graph/Network Visualization | Richard Iannone |
| DiagrammeRsvg | 0.1 | Export DiagrammeR Graphviz Graphs as SVG | Richard Iannone |
| DiallelAnalysisR | 0.5.0 | Diallel Analysis with R | Muhammad Yaseen |
| dialr | 0.4.2 | Parse, Format, and Validate International Phone Numbers | Danny Smith |
| dialrjars | 8.13.25 | Required 'libphonenumber' jars for the 'dialr' Package | Danny Smith |
| dials | 1.2.1 | Tools for Creating Tuning Parameter Values | Hannah Frick |
| diaplt | 1.4.0 | Beads Summary Plot of Ranges | Shinichiro Tomizono |
| diathor | 0.1.0 | Calculate Ecological Information and Diatom Based Indices | Joaquín Cochero |
| dibble | 0.2.2 | Dimensional Data Frames | Mizuki Uchida |
| dice | 1.2 | Calculate probabilities of various dice-rolling events | Dylan Arena |
| DiceDesign | 1.10 | Designs of Computer Experiments | Celine Helbert |
| DiceEval | 1.6.1 | Construction and Evaluation of Metamodels | C. Helbert |
| DiceKriging | 1.6.0 | Kriging Methods for Computer Experiments | Olivier Roustant |
| DiceOptim | 2.1.1 | Kriging-Based Optimization for Computer Experiments | Victor Picheny |
| diceR | 2.2.0 | Diverse Cluster Ensemble in R | Derek Chiu |
| DiceView | 2.2-0 | Methods for Visualization of Computer Experiments Design and
Surrogate | Yann Richet |
| dichromat | 2.0-0.1 | Color Schemes for Dichromats | Thomas Lumley |
| DICOMread | 0.0.0.3 | Reading and Saving DICOM Image Files | Shu Jiang |
| DIconvex | 1.0.0 | Finding Patterns of Monotonicity and Convexity in Data | Liudmila Karagyaur |
| Dict | 0.1.0 | R6 Based Key-Value Dictionary Implementation | Shun Asai |
| dictionar6 | 0.1.3 | R6 Dictionary Interface | Raphael Sonabend |
| dictionaRy | 0.1.1 | Retrieve the Dictionary Definitions of English Words | Steve Condylios |
| did | 2.1.2 | Treatment Effects with Multiple Periods and Groups | Brantly Callaway |
| did2s | 1.0.2 | Two-Stage Difference-in-Differences Following Gardner (2021) | Kyle Butts |
| DidacticBoost | 0.1.1 | A Simple Implementation and Demonstration of Gradient Boosting | David Shaub |
| Diderot | 0.13 | Bibliographic Network Analysis | Christian Vincenot |
| DiDforBigData | 1.0 | A Big Data Implementation of Difference-in-Differences
Estimation with Staggered Treatment | Bradley Setzler |
| didimputation | 0.3.0 | Imputation Estimator from Borusyak, Jaravel, and Spiess (2021) | Kyle Butts |
| DIDmultiplegt | 0.1.3 | Estimation in DID with Multiple Groups and Periods | Diego Ciccia |
| DIDmultiplegtDYN | 1.0.5 | Estimation in Difference-in-Difference Designs with Multiple
Groups and Periods | Diego Ciccia |
| didrooRFM | 1.0.0 | Compute Recency Frequency Monetary Scores for your Customer Data | Satish Hariharan |
| diemr | 1.2.2 | Diagnostic Index Expectation Maximisation in R | Natalia Martinkova |
| dietr | 1.1.4 | Diet Estimated Trophic Levels | Samuel R. Borstein |
| diezeit | 0.1-0 | R Interface to the ZEIT ONLINE Content API | Christian Graul |
| DIFboost | 0.3 | Detection of Differential Item Functioning (DIF) in Rasch Models
by Boosting Techniques | Gunther Schauberger |
| difconet | 1.0-4 | Differential Coexpressed Networks | Victor Trevino |
| diffcor | 0.8.2 | Fisher's z-Tests Concerning Difference of Correlations | Christian Blötner |
| DiffCorr | 0.4.3 | Analyzing and Visualizing Differential Correlation Networks in
Biological Data | Atsushi Fukushima |
| diffdf | 1.0.4 | Dataframe Difference Tool | Craig Gower-Page |
| diffdfs | 0.9.0 | Compute the Difference Between Data Frames | Riaz Arbi |
| diffee | 1.1.0 | Fast and Scalable Learning of Sparse Changes in High-Dimensional
Gaussian Graphical Model Structure | Beilun Wang |
| diffEnrich | 0.1.2 | Given a List of Gene Symbols, Performs Differential Enrichment
Analysis | Harry Smith |
| diffeqr | 2.0.1 | Solving Differential Equations (ODEs, SDEs, DDEs, DAEs) | Christopher Rackauckas |
| diffeR | 0.0-8 | Metrics of Difference for Comparing Pairs of Maps or Pairs of
Variables | Ali Santacruz |
| diffeRenTES | 0.3.2 | Computation of TES-Based Cell Differentiation Trees | Michele Braccini |
| diffIRT | 1.5 | Diffusion IRT Models for Response and Response Time Data | Dylan Molenaar |
| diffmatchpatch | 0.1.0 | String Diff, Match, and Patch Utilities | Colin Rundel |
| DiffNet | 1.0.2 | Identifying Significant Node Scores using Network Diffusion
Algorithm | Farzaneh Firoozbakht |
| diffobj | 0.3.5 | Diffs for R Objects | Brodie Gaslam |
| diffpriv | 0.4.2 | Easy Differential Privacy | Benjamin Rubinstein |
| diffr | 0.1 | Display Differences Between Two Files using Codediff Library | John Muschelli |
| diffudist | 1.0.1 | Diffusion Distance for Complex Networks | Giulia Bertagnolli |
| diffusion | 0.2.7 | Forecast the Diffusion of New Products | Oliver Schaer |
| diffusionMap | 1.2.0 | Diffusion Map | Robrecht Cannoodt |
| diffval | 1.1.0 | Vegetation Patterns | Tiago Monteiro-Henriques |
| diffviewer | 0.1.1 | HTML Widget to Show File Differences | Hadley Wickham |
| DiffXTables | 0.1.3 | Pattern Analysis Across Contingency Tables | Joe Song |
| DIFlasso | 1.0-4 | A Penalty Approach to Differential Item Functioning in Rasch
Models | Gunther Schauberger |
| difNLR | 1.4.2-1 | DIF and DDF Detection by Non-Linear Regression Models | Adela Hladka |
| DIFplus | 1.1 | Multilevel Mantel-Haenszel Statistics for Differential Item
Functioning Detection | Shenghai Dai |
| difR | 5.1 | Collection of Methods to Detect Dichotomous Differential Item
Functioning (DIF) | David Magis |
| DIFshiny | 0.1.0 | Differential Item Functioning via Shiny Application | Huseyin Yildiz |
| DIFtree | 3.1.6 | Item Focussed Trees for the Identification of Items in
Differential Item Functioning | Moritz Berger |
| digest | 0.6.35 | Create Compact Hash Digests of R Objects | Dirk Eddelbuettel |
| digiRhythm | 1.2 | Analyzing Animal's Rhythmicity | Hassan-Roland Nasser |
| digitalDLSorteR | 1.0.1 | Deconvolution of Bulk RNA-Seq Data Based on Deep Learning | Diego Mañanes |
| digitalPCR | 1.1.0 | Estimate Copy Number for Digital PCR | Xutao Deng |
| digitize | 0.0.4 | Use Data from Published Plots in R | Jaime Ashander |
| digitTests | 0.1.2 | Tests for Detecting Irregular Digit Patterns | Koen Derks |
| DIGSS | 1.0.2 | Determination of Intervals Using Georeferenced Survey Simulation | Mark Hubbe |
| dilp | 1.1.0 | Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy | Matthew J. Butrim |
| DIME | 1.3.0 | Differential Identification using Mixture Ensemble | Cenny Taslim |
| dimensio | 0.7.0 | Multivariate Data Analysis | Nicolas Frerebeau |
| dimensionsR | 0.0.3 | Gathering Bibliographic Records from 'Digital Science
Dimensions' Using 'DSL' API | Massimo Aria |
| DImodels | 1.3.2 | Diversity-Interactions (DI) Models | Rafael de Andrade Moral |
| DImodelsMulti | 1.0.1 | Fit Multivariate Diversity-Interactions Models with Repeated
Measures | Laura Byrne |
| DImodelsVis | 1.0.1 | Visualising and Interpreting Statistical Models Fit to
Compositional Data | Rishabh Vishwakarma |
| DIMORA | 0.3.6 | Diffusion Models R Analysis | Savio Andrea |
| dimRed | 0.2.6 | A Framework for Dimensionality Reduction | Guido Kraemer |
| dina | 2.0.0 | Bayesian Estimation of DINA Model | James Joseph Balamuta |
| dinamic | 1.0.1 | A Method to Analyze Recurrent DNA Copy Number Aberrations in
Tumors | Vonn Walter |
| DiNAMIC.Duo | 1.0.2 | Finding Recurrent DNA Copy Number Alterations and Differences | Vonn Walter |
| dineq | 0.1.0 | Decomposition of (Income) Inequality | René Schulenberg |
| dineR | 1.0.1 | Differential Network Estimation in R | Ricardo Daniel Marques Salgado |
| dint | 2.1.4 | A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates | Stefan Fleck |
| DiPALM | 1.2 | Differential Pattern Analysis via Linear Modeling | Ryan C. Sartor |
| DiPhiSeq | 0.2.0 | Robust Tests for Differential Dispersion and Differential
Expression in RNA-Sequencing Data | Jun Li |
| dipm | 1.9 | Depth Importance in Precision Medicine (DIPM) Method | Cai Li |
| diproperm | 0.2.0 | Conduct Direction-Projection-Permutation Tests and Display Plots | Andrew G. Allmon |
| DiPs | 0.6.4 | Directional Penalties for Optimal Matching in Observational
Studies | Ruoqi Yu |
| dipsaus | 0.2.8 | A Dipping Sauce for Data Analysis and Visualizations | Zhengjia Wang |
| diptest | 0.77-0 | Hartigan's Dip Test Statistic for Unimodality - Corrected | Martin Maechler |
| dipw | 0.1.0 | Debiased Inverse Propensity Score Weighting | Yuhao Wang |
| Dire | 2.2.0 | Linear Regressions with a Latent Outcome Variable | Paul Bailey |
| DIRECT | 1.1.0 | Bayesian Clustering of Multivariate Data Under the
Dirichlet-Process Prior | Audrey Q. Fu |
| DirectedClustering | 0.1.1 | Directed Weighted Clustering Coefficient | Gian Paolo Clemente |
| DirectEffects | 0.2.1 | Estimating Controlled Direct Effects for Explaining Causal
Findings | Matthew Blackwell |
| Directional | 6.5 | A Collection of Functions for Directional Data Analysis | Michail Tsagris |
| directlabels | 2024.1.21 | Direct Labels for Multicolor Plots | Toby Dylan Hocking |
| directotree | 1.0.0 | Creates an Interactive Tree Structure of a Directory | Louis Sirugue |
| directPA | 1.5.1 | Direction Analysis for Pathways and Kinases | Pengyi Yang |
| DirectStandardisation | 1.3 | Adjusted Means and Proportions by Direct Standardisation | Christiana Kartsonaki |
| dirichletprocess | 0.4.2 | Build Dirichlet Process Objects for Bayesian Modelling | Dean Markwick |
| DirichletReg | 0.7-1 | Dirichlet Regression | Marco Johannes Maier |
| dirmcmc | 1.3.3 | Directional Metropolis Hastings Algorithm | Abhirup Mallik |
| dirmult | 0.1.3-5 | Estimation in Dirichlet-Multinomial Distribution | Torben Tvedebrink |
| DirStats | 0.1.9 | Nonparametric Methods for Directional Data | Eduardo García-Portugués |
| dirttee | 1.0.2 | Distributional Regression for Time to Event Data | Alexander Seipp |
| disaggR | 1.0.5.2 | Two-Steps Benchmarks for Time Series Disaggregation | Pauline Meinzel |
| DisaggregateTS | 2.0.0 | High-Dimensional Temporal Disaggregation | Luke Mosley |
| disaggregation | 0.3.0 | Disaggregation Modelling | Tim Lucas |
| disbayes | 1.1.0 | Bayesian Multi-State Modelling of Chronic Disease Burden Data | Christopher Jackson |
| discAUC | 1.0.0 | Linear and Non-Linear AUC for Discounting Data | Jonathan E. Friedel |
| DIscBIO | 1.2.2 | A User-Friendly Pipeline for Biomarker Discovery in Single-Cell
Transcriptomics | Waldir Leoncio |
| discFA | 1.0.1 | Discrete Factor Analysis | Reza A. Belaghi |
| discfrail | 0.1 | Cox Models for Time-to-Event Data with Nonparametric Discrete
Group-Specific Frailties | Francesca Gasperoni |
| discharge | 1.0.0 | Fourier Analysis of Discharge Data | Samarth Shah |
| disclap | 1.5.1 | Discrete Laplace Exponential Family | Mikkel Meyer Andersen |
| disclapmix | 1.7.4 | Discrete Laplace Mixture Inference using the EM Algorithm | Mikkel Meyer Andersen |
| disclapmix2 | 0.6.1 | Mixtures of Discrete Laplace Distributions using Numerical
Optimisation | Maarten Kruijver |
| disclosuR | 0.6.0 | Text Conversion from Nexis Uni PDFs to R Data Frames | Jonas Röttger |
| discnorm | 0.2.1 | Test for Discretized Normality in Ordinal Data | Njål Foldnes |
| discord | 1.1.0 | Functions for Discordant Kinship Modeling | S. Mason Garrison |
| DiSCos | 0.0.1 | Distributional Synthetic Controls Estimation | David Van Dijcke |
| discourseGT | 1.2.0 | Analyze Group Patterns using Graph Theory in Educational
Settings | Qi Cui |
| discoveR | 3.1.2 | Exploratory Data Analysis System | Oldemar Rodriguez |
| discoverableresearch | 0.0.1 | Checks Title, Abstract and Keywords to Optimise Discoverability | Neal Haddaway |
| discretecdAlgorithm | 0.0.7 | Coordinate-Descent Algorithm for Learning Sparse Discrete
Bayesian Networks | Jiaying Gu |
| DiscreteDatasets | 0.1.0 | Example Data Sets for Use with Discrete Statistical Tests | Florian Junge |
| DiscreteFDR | 1.3.7 | Multiple Testing Procedures with Adaptation for Discrete Tests | Florian Junge |
| discretefit | 0.1.2 | Simulated Goodness-of-Fit Tests for Discrete Distributions | Josh McCormick |
| DiscreteInverseWeibull | 1.0.2 | Discrete Inverse Weibull Distribution | Alessandro Barbiero |
| DiscreteLaplace | 1.1.1 | Discrete Laplace Distributions | Alessandro Barbiero |
| DiscreteQvalue | 1.1 | Improved q-Values for Discrete Uniform and Homogeneous Tests | Marta Cousido Rocha |
| discreteRV | 1.2.2 | Create and Manipulate Discrete Random Variables | Eric Hare |
| DiscreteWeibull | 1.1 | Discrete Weibull Distributions (Type 1 and 3) | Alessandro Barbiero |
| discretization | 1.0-1.1 | Data Preprocessing, Discretization for Classification | HyunJi Kim |
| discrim | 1.0.1 | Model Wrappers for Discriminant Analysis | Emil Hvitfeldt |
| discrtr | 0.0.1 | A Companion Package for the Book "Discrete Choice Analysis with
'R'" | Antonio Paez |
| discSurv | 2.0.0 | Discrete Time Survival Analysis | Thomas Welchowski |
| discursive | 0.1.1 | Measuring Discursive Sophistication in Open-Ended Survey
Responses | Patrick Kraft |
| disdat | 1.0-1 | Data for Comparing Species Distribution Modeling Methods | Roozbeh Valavi |
| diseasemapping | 2.0.6 | Modelling Spatial Variation in Disease Risk for Areal Data | Patrick Brown |
| diseasystore | 0.2.0 | Feature Stores for the 'diseasy' Framework | Rasmus Skytte Randløv |
| DisHet | 1.0.0 | Estimate the Gene Expression Levels and Component Proportions of
the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor
Samples | Tao Wang |
| DisimForMixed | 0.2 | Calculate Dissimilarity Matrix for Dataset with Mixed Attributes | Hasanthi A. Pathberiya |
| DisImpact | 0.0.21 | Calculates Disproportionate Impact When Binary Success Data are
Disaggregated by Subgroups | Vinh Nguyen |
| disk.frame | 0.8.3 | Larger-than-RAM Disk-Based Data Manipulation Framework | Dai ZJ |
| dismo | 1.3-14 | Species Distribution Modeling | Robert J. Hijmans |
| disordR | 0.9-8.2 | Non-Ordered Vectors | Robin K. S. Hankin |
| disparityfilter | 2.2.3 | Disparity Filter Algorithm for Weighted Networks | Alessandro Bessi |
| dispeRse | 1.1 | Simulation of Demic Diffusion with Environmental Constraints | Jonas Gregorio de Souza |
| dispmod | 1.2 | Modelling Dispersion in GLM | Luca Scrucca |
| disposables | 1.0.3 | Create Disposable R Packages for Testing | Gábor Csárdi |
| dispositionEffect | 1.0.1 | Analysis of Disposition Effect on Financial Portfolios | Marco Zanotti |
| dispRity | 1.8 | Measuring Disparity | Thomas Guillerme |
| disprofas | 0.1.3 | Non-Parametric Dissolution Profile Analysis | Pius Dahinden |
| disprose | 0.1.6 | Discriminating Probes Selection | Elena Filatova |
| dissCqN | 0.1.0 | Multiple Assemblage Dissimilarity for Orders q = 0-N | Mark Murphy |
| dissever | 0.2-3 | Spatial Downscaling using the Dissever Algorithm | Pierre Roudier |
| DiSSMod | 1.0.0 | Fitting Sample Selection Models for Discrete Response Variables | Sang Kyu Lee |
| Distance | 1.0.9 | Distance Sampling Detection Function and Abundance Estimation | Laura Marshall |
| distances | 0.1.10 | Tools for Distance Metrics | Fredrik Savje |
| distanceto | 0.0.3 | Calculate Distance to Features | Alec L. Robitaille |
| distantia | 1.0.2 | Assessing Dissimilarity Between Multivariate Time Series | Blas M. Benito |
| DistatisR | 1.1.1 | DiSTATIS Three Way Metric Multidimensional Scaling | Herve Abdi |
| distcomp | 1.3-3 | Computations over Distributed Data without Aggregation | Balasubramanian Narasimhan |
| distcrete | 1.0.3 | Discrete Distribution Approximations | Steph Locke |
| distdichoR | 0.1-1 | Distributional Method for the Dichotomisation of Continuous
Outcomes | Odile Sauzet |
| distfree.cr | 1.5.1 | Distribution-Free Confidence Region | Zhiqiu Hu |
| distill | 1.6 | 'R Markdown' Format for Scientific and Technical Writing | Christophe Dervieux |
| distillery | 1.2-1 | Method Functions for Confidence Intervals and to Distill
Information from an Object | Eric Gilleland |
| distillML | 0.1.0.13 | Model Distillation and Interpretability Methods for Machine
Learning Models | Theo Saarinen |
| distinctiveness | 1.0.1 | Distinctiveness Centrality | Andrea Fronzetti Colladon |
| disto | 0.2.0 | Unified Interface to Distance, Dissimilarity, Similarity
Matrices | KS Srikanth |
| distops | 0.1.0 | Usual Operations for Distance Matrices in R | Aymeric Stamm |
| distory | 1.4.4 | Distance Between Phylogenetic Histories | Emmanuel Paradis |
| DistPlotter | 0.0.2 | A Graphical User Interface for Plotting Common Univariate
Distributions | Christopher Casement |
| distr | 2.9.3 | Object Oriented Implementation of Distributions | Peter Ruckdeschel |
| distrDoc | 2.8.2 | Documentation for 'distr' Family of R Packages | Peter Ruckdeschel |
| distreg.vis | 1.7.5 | Framework for the Visualization of Distributional Regression
Models | Stanislaus Stadlmann |
| distrEllipse | 2.8.2 | S4 Classes for Elliptically Contoured Distributions | Peter Ruckdeschel |
| distrEx | 2.9.2 | Extensions of Package 'distr' | Matthias Kohl |
| DISTRIB | 1.0 | Four Essential Functions for Statistical Distributions Analysis:
A New Functional Approach | Abbas Parchami |
| Distributacalcul | 0.4.0 | Probability Distribution Functions | Alec James van Rassel |
| distributional | 0.4.0 | Vectorised Probability Distributions | Mitchell O'Hara-Wild |
| DistributionOptimization | 1.2.6 | Distribution Optimization | Florian Lerch |
| distributions3 | 0.2.1 | Probability Distributions as S3 Objects | Alex Hayes |
| distributionsrd | 0.0.6 | Distribution Fitting and Evaluation | Ruben Dewitte |
| DistributionTest | 1.1 | Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio | Ning Cui <2433971953 at qq.com> |
| DistributionUtils | 0.6-1 | Distribution Utilities | David Scott |
| distrMod | 2.9.1 | Object Oriented Implementation of Probability Models | Peter Ruckdeschel |
| distro | 0.1.0 | Linux Distribution Properties | Neal Richardson |
| distrom | 1.0.1 | Distributed Multinomial Regression | Nelson Rayl |
| distrr | 0.0.6 | Estimate and Manage Empirical Distributions | Sandro Petrillo Burri |
| distrRmetrics | 2.8.2 | Distribution Classes for Distributions from Rmetrics | Peter Ruckdeschel |
| distrSim | 2.8.2 | Simulation Classes Based on Package 'distr' | Peter Ruckdeschel |
| distrTeach | 2.9.1 | Extensions of Package 'distr' for Teaching
Stochastics/Statistics in Secondary School | Peter Ruckdeschel |
| distrTEst | 2.8.2 | Estimation and Testing Classes Based on Package 'distr' | Peter Ruckdeschel |
| distTails | 0.1.2 | A Collection of Full Defined Distribution Tails | Sergi Vilardell |
| disttools | 0.1.8 | Distance Object Manipulation Tools | Zachary Colburn |
| dittodb | 0.1.8 | A Test Environment for Database Requests | Jonathan Keane |
| dittoViz | 1.0.1 | User Friendly Data Visualization | Daniel Bunis |
| div | 0.3.1 | Report on Diversity and Inclusion in a Corporate Setting | Philippe J.S. De Brouwer |
| divDyn | 0.8.2 | Diversity Dynamics using Fossil Sampling Data | Adam T. Kocsis |
| DivE | 1.3 | Diversity Estimator | Daniel Laydon |
| diveMove | 1.6.2 | Dive Analysis and Calibration | Sebastian P. Luque |
| diveR | 0.1.2 | Easily Install and Load Interactive Data Visualization Tools | R. Wayne Oldford |
| diverge | 2.0.6 | Evolutionary Trait Divergence Between Sister Species and Other
Paired Lineages | Sean A. S. Anderson |
| diverse | 0.1.5 | Diversity Measures for Complex Systems | Miguel R. Guevara |
| DiversificationR | 0.1.0 | Econometric Tools to Measure Portfolio Diversification | Jean-Baptiste Hasse |
| diversitree | 0.10-0 | Comparative 'Phylogenetic' Analyses of Diversification | Richard G. FitzJohn |
| diversityForest | 0.4.0 | Innovative Complex Split Procedures in Random Forests Through
Candidate Split Sampling | Roman Hornung |
| divest | 1.0.0 | Get Images Out of DICOM Format Quickly | Jon Clayden |
| divo | 1.0.1 | Tools for Analysis of Diversity and Similarity in Biological
Systems | Maciej Pietrzak |
| divraster | 1.0.4 | Diversity Metrics Calculations for Rasterized Data | Flávio M. M. Mota |
| divseg | 0.0.5 | Calculate Diversity and Segregation Indices | Christopher T. Kenny |
| divvy | 1.0.0 | Spatial Subsampling of Biodiversity Occurrence Data | Gawain Antell |
| dixon | 0.0-9 | Nearest Neighbour Contingency Table Analysis | Marcelino de la Cruz Rot |
| dixonTest | 1.0.4 | Dixon's Ratio Test for Outlier Detection | Thorsten Pohlert |
| diyar | 0.5.1 | Record Linkage and Epidemiological Case Definitions in 'R' | Olisaeloka Nsonwu |
| DIZtools | 1.0.1 | Lightweight Utilities for 'DIZ' R Package Development | Jonathan M. Mang |
| DIZutils | 0.1.2 | Utilities for 'DIZ' R Package Development | Jonathan M. Mang |
| DJL | 3.9 | Distance Measure Based Judgment and Learning | Dong-Joon Lim |
| dkanr | 0.1.3 | Client for the 'DKAN' API | Tony Fujs |
| dLagM | 1.1.13 | Time Series Regression Models with Distributed Lag Models | Haydar Demirhan |
| DLASSO | 2.0.2 | Implementation of Adaptive or Non-Adaptive Differentiable Lasso
and SCAD Penalties in Linear Models | Hamed Haseli Mashhadi |
| dlbayes | 0.1.0 | Use Dirichlet Laplace Prior to Solve Linear Regression Problem
and Do Variable Selection | Shijia Zhang |
| DLEGFM | 0.4.0 | Distributed Loading Estimation for General Factor Model | Guangbao Guo |
| dlib | 1.0.3.1 | Allow Access to the 'Dlib' C++ Library | Jan Wijffels |
| dlim | 0.1.0 | Distributed Lag Interaction Model | Danielle Demateis |
| DLL | 1.0.0 | Decorrelated Local Linear Estimator | Zijian Guo |
| dlm | 1.1-6 | Bayesian and Likelihood Analysis of Dynamic Linear Models | Giovanni Petris |
| DLMtool | 6.0.6 | Data-Limited Methods Toolkit | Adrian Hordyk |
| dlnm | 2.4.7 | Distributed Lag Non-Linear Models | Antonio Gasparrini |
| dlookr | 0.6.3 | Tools for Data Diagnosis, Exploration, Transformation | Choonghyun Ryu |
| DLPCA | 0.0.5 | The Distributed Local PCA Algorithm | Guangbao Guo |
| dlr | 1.0.1 | Download and Cache Files Safely | Jon Harmon |
| dlsem | 2.4.6 | Distributed-Lag Linear Structural Equation Models | Alessandro Magrini |
| dlstats | 0.1.7 | Download Stats of R Packages | Guangchuang Yu |
| dm | 1.0.10 | Relational Data Models | Kirill Müller |
| dma | 1.4-0 | Dynamic Model Averaging | Hana Sevcikova |
| dmai | 0.5.0 | Divisia Monetary Aggregates Index | Muhammad Yaseen |
| dmbc | 1.0.2 | Model Based Clustering of Binary Dissimilarity Measurements | Sergio Venturini |
| DMCfun | 3.5.4 | Diffusion Model of Conflict (DMC) in Reaction Time Tasks | Ian G. Mackenzie |
| dmetatools | 1.1.1 | Computational Tools for Meta-Analysis of Diagnostic Accuracy
Test | Hisashi Noma |
| dml | 1.1.0 | Distance Metric Learning in R | Yuan Tang |
| dmlalg | 1.0.2 | Double Machine Learning Algorithms | Corinne Emmenegger |
| DMLLZU | 0.1.1 | Double Machine Learning | Junchang Zhao |
| dmm | 2.1-9 | Dyadic Mixed Model for Pedigree Data | Neville Jackson |
| DMMF | 0.5.2.0 | Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model | Kwanghun Choi |
| dMod | 1.0.2 | Dynamic Modeling and Parameter Estimation in ODE Models | Daniel Kaschek |
| DMQ | 0.1.2 | Dynamic Multiple Quantile (DMQ) Model | Leopoldo Catania |
| dmri.tracking | 0.1.0 | DiST - Diffusion Direction Smoothing and Tracking | Seungyong Hwang |
| DMRnet | 0.4.0 | Delete or Merge Regressors Algorithms for Linear and Logistic
Model Selection and High-Dimensional Data | Szymon Nowakowski |
| DMtest | 1.0.0 | Differential Methylation Tests (DMtest) | James Dai |
| DMTL | 0.1.2 | Tools for Applying Distribution Mapping Based Transfer Learning | Saugato Rahman Dhruba |
| dmtools | 0.2.6 | Tools for Clinical Data Management | Konstantin Ryabov |
| dmutate | 0.1.3 | Mutate Data Frames with Random Variates | Kyle T Baron |
| DMwR2 | 0.0.2 | Functions and Data for the Second Edition of "Data Mining with
R" | Luis Torgo |
| DNAmixturesLite | 0.0-1 | Statistical Inference for Mixed Traces of DNA (Lite-Version) | Therese Graversen |
| dnapath | 0.7.4 | Differential Network Analysis using Gene Pathways | Tyler Grimes |
| DNAseqtest | 1.0 | Generating and Testing DNA Sequences | Hasinur Rahaman Khan |
| DNAtools | 0.2-4 | Tools for Analysing Forensic Genetic DNA Data | Mikkel Meyer Andersen |
| dndR | 1.3.1 | Dungeons & Dragons Functions for Players and Dungeon Masters | Nicholas Lyon |
| DNetFinder | 1.1 | Estimating Differential Networks under Semiparametric Gaussian
Graphical Models | Qingyang Zhang |
| dng | 0.2.1 | Distributions and Gradients | Jiayue Zeng |
| DNH4 | 0.1.12 | Crawling for Daum News Text | Chanyub Park |
| DNLC | 1.0.0 | Differential Network Local Consistency Analysis | Yusheng Ding |
| DNMF | 1.4.2 | Discriminant Non-Negative Matrix Factorization | Zhilong Jia |
| dnn | 0.0.6 | Deep Neural Network Tools for Probability and Statistic Models | Bingshu E. Chen |
| dnr | 0.3.5 | Simulate Dynamic Networks using Exponential Random Graph Models
(ERGM) Family | Abhirup Mallik |
| do | 2.0.0.0 | Data Operator | Jing Zhang |
| DOBAD | 1.0.6 | Analysis of Discretely Observed Linear
Birth-and-Death(-and-Immigration) Markov Chains | Charles Doss |
| dobin | 1.0.4 | Dimension Reduction for Outlier Detection | Sevvandi Kandanaarachchi |
| dobson | 0.4 | Data from the GLM Book by Dobson and Barnett | Adrian Barnett |
| doBy | 4.6.20 | Groupwise Statistics, LSmeans, Linear Estimates, Utilities | Søren Højsgaard |
| doc2concrete | 0.6.0 | Measuring Concreteness in Natural Language | Mike Yeomans |
| doc2vec | 0.2.0 | Distributed Representations of Sentences, Documents and Topics | Jan Wijffels |
| dockerfiler | 0.2.2 | Easy Dockerfile Creation from R | Colin Fay |
| DockerParallel | 1.0.4 | Using the Docker Container to Create R Workers on Local or Cloud
Platform | Jiefei Wang |
| docknitr | 1.0.1 | Use Docker Images to Process Rmarkdown Blocks | Ben Artin |
| doconv | 0.3.2 | Document Conversion to 'PDF' or 'PNG' | David Gohel |
| docopt | 0.7.1 | Command-Line Interface Specification Language | Edwin de Jonge |
| docopulae | 0.4.0 | Optimal Designs for Copula Models | Andreas Rappold |
| docore | 1.0 | Utility Functions for Scientific Coding | Danail Obreschkow |
| docstring | 1.0.0 | Provides Docstring Capabilities to R Functions | Dason Kurkiewicz |
| doctest | 0.3.0 | Generate Tests from Examples Using 'roxygen' and 'testthat' | David Hugh-Jones |
| document | 4.0.0 | Run 'roxygen2' on (Chunks of) Single Code Files | Andreas Dominik Cullmann |
| documenter | 0.1.3 | Documents Files | Zachary Colburn |
| docuSignr | 0.0.3 | Connect to 'DocuSign' API | Carl Ganz |
| docxtractr | 0.6.5 | Extract Data Tables and Comments from 'Microsoft' 'Word'
Documents | Bob Rudis |
| Dodge | 0.9-2 | Acceptance Sampling Ideas Originated by H.F. Dodge | A. Jonathan R. Godfrey |
| dodgr | 0.2.21 | Distances on Directed Graphs | Mark Padgham |
| DoE.base | 1.2-4 | Full Factorials, Orthogonal Arrays and Base Utilities for DoE
Packages | Ulrike Groemping |
| DoE.MIParray | 1.0-1 | Creation of Arrays by Mixed Integer Programming | Ulrike Groemping |
| DoE.wrapper | 0.12 | Wrapper Package for Design of Experiments Functionality | Ulrike Groemping |
| doebioresearch | 0.1.0 | Analysis of Design of Experiments for Biological Research | Raj Popat |
| DOEM | 0.0.0.1 | The Distributed Online Expectation Maximization Algorithms to
Solve Parameters of Poisson Mixture Models | Qian Wang |
| DoEstRare | 0.2 | Rare Variant Association Test Based on Position Density
Estimation | Elodie Persyn |
| doex | 1.2 | The One-Way Heteroscedastic ANOVA Tests | Mustafa CAVUS |
| doFuture | 1.0.1 | Use Foreach to Parallelize via the Future Framework | Henrik Bengtsson |
| dogesr | 0.5.0 | Work with the Doges/Dogaresse Dataset | Juan Julián Merelo-Guervós |
| doMC | 1.3.8 | Foreach Parallel Adaptor for 'parallel' | Folashade Daniel |
| dominanceanalysis | 2.1.0 | Dominance Analysis | Claudio Bustos Navarrete |
| domino | 0.3.1 | R Console Bindings for the 'Domino Command-Line Client' | Nick Elprin |
| DominoDataR | 0.2.3 | 'Domino Data R SDK' | Gabriel Haim |
| domir | 1.1.1 | Tools to Support Relative Importance Analysis | Joseph Luchman |
| doMPI | 0.2.2 | Foreach Parallel Adaptor for the Rmpi Package | Steve Weston |
| donut | 1.0.3 | Nearest Neighbour Search with Variables on a Torus | Paul J. Northrop |
| doolkit | 1.42.2 | Exploration of Dental Surface Topography | Ghislain Thiery |
| doParallel | 1.0.17 | Foreach Parallel Adaptor for the 'parallel' Package | Folashade Daniel |
| DOPE | 2.1.0 | Drug Ontology Parsing Engine | Raymond Balise |
| doRedis | 3.0.2 | 'Foreach' Parallel Adapter Using the 'Redis' Database | B. W. Lewis |
| doremi | 1.0.0 | Dynamics of Return to Equilibrium During Multiple Inputs | Mongin Denis |
| doRNG | 1.8.6 | Generic Reproducible Parallel Backend for 'foreach' Loops | Renaud Gaujoux |
| DOS | 1.0.0 | Design of Observational Studies | Paul Rosenbaum |
| DOS2 | 0.5.2 | Design of Observational Studies, Companion to the Second Edition | Paul Rosenbaum |
| dosearch | 1.0.8 | Causal Effect Identification from Multiple Incomplete Data
Sources | Santtu Tikka |
| dosedesignR | 0.3.0 | Interactive Designing of Dose Finding Studies | T. Schmelter |
| DoseFinding | 1.1-1 | Planning and Analyzing Dose Finding Experiments | Bjoern Bornkamp |
| doseminer | 0.1.2 | Extract Drug Dosages from Free-Text Prescriptions | David Selby |
| doseSens | 0.1.0 | Conduct Sensitivity Analysis with Continuous Exposures and
Binary Outcomes | Jeffrey Zhang |
| doSNOW | 1.0.20 | Foreach Parallel Adaptor for the 'snow' Package | Folashade Daniel |
| DOSPortfolio | 0.1.0 | Dynamic Optimal Shrinkage Portfolio | Erik Thorsén |
| dosresmeta | 2.0.1 | Multivariate Dose-Response Meta-Analysis | Alessio Crippa |
| dostats | 1.3.3 | Compute Statistics Helper Functions | Andrew Redd |
| DOT | 0.1 | Render and Export DOT Graphs in R | E. F. Haghish |
| dotCall64 | 1.1-1 | Enhanced Foreign Function Interface Supporting Long Vectors | Reinhard Furrer |
| dotenv | 1.0.3 | Load Environment Variables from '.env' | Gábor Csárdi |
| dotgen | 0.1.0 | Gene-Set Analysis via Decorrelation by Orthogonal Transformation | Xiaoran Tong |
| dotprofile | 0.0.1 | Create and Manage Configuration Profiles | Jean-Mathieu Potvin |
| dots | 0.0.2 | Dot Density Maps | Christopher T. Kenny |
| dotsViolin | 0.0.1 | Dot Plots Mimicking Violin Plots | Fernando Roa |
| dotwhisker | 0.8.1 | Dot-and-Whisker Plots of Regression Results | Yue Hu |
| doubcens | 1.1 | Survivor Function Estimation for Doubly Interval-Censored
Failure Time Data | James McVittie |
| double.truncation | 1.7 | Analysis of Doubly-Truncated Data | Takeshi Emura |
| DoubleCone | 1.1 | Test Against Parametric Regression Function | Mary C Meyer |
| DoubleExpSeq | 1.1 | Differential Exon Usage Test for RNA-Seq Data via Empirical
Bayes Shrinkage of the Dispersion Parameter | Sean Ruddy |
| DoubleML | 1.0.0 | Double Machine Learning in R | Philipp Bach |
| doubt | 0.1.0 | Enable Operators Containing the '?' Symbol | Antoine Fabri |
| doudpackage | 2.1.0 | Create Elegant Table 1 in HTML for Bio-Statistics | Edouard Baudouin |
| DOvalidation | 1.1.0 | Kernel Hazard Estimation with Best One-Sided and Double
One-Sided Cross-Validation | Maria Dolores Martinez-Miranda |
| DOVE | 1.10 | Durability of Vaccine Efficacy | Shannon T. Holloway |
| Dowd | 0.12 | Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's
Book Measuring Market Risk | Dinesh Acharya |
| downlit | 0.4.3 | Syntax Highlighting and Automatic Linking | Hadley Wickham |
| downloader | 0.4 | Download Files over HTTP and HTTPS | Winston Chang |
| downloadthis | 0.3.3 | Implement Download Buttons in 'rmarkdown' | Felipe Mattioni Maturana |
| downscale | 5.0.0 | Downscaling Species Occupancy | Charles Marsh |
| downsize | 0.2.3 | A Tool to Downsize Large Analysis Projects for Testing | William Michael Landau |
| dowser | 2.1.0 | B Cell Receptor Phylogenetics Toolkit | Kenneth Hoehn |
| DOYPAColors | 0.0.1 | Don't Overthink Your Palette of Colors | Jorge Mestre |
| dparser | 1.3.1-11 | Port of 'Dparser' Package | Matthew Fidler |
| DPBBM | 0.2.5 | Dirichlet Process Beta-Binomial Mixture | Lin Zhang |
| dpcc | 1.0.0 | Dynamic Programming for Convex Clustering | Bingyuan Zhang |
| dPCP | 2.0.1 | Automated Analysis of Multiplex Digital PCR Data | Alfonso De Falco |
| Dpit | 1.0 | Distribution Pitting | Harry Joo |
| dplR | 1.7.6 | Dendrochronology Program Library in R | Andy Bunn |
| dplyr | 1.1.4 | A Grammar of Data Manipulation | Hadley Wickham |
| dplyrAssist | 0.1.0 | RStudio Addin for Teaching and Learning Data Manipulation Using
'dplyr' | Keon-Woong Moon |
| dpm | 1.2.0 | Dynamic Panel Models Fit with Maximum Likelihood | Jacob A. Long |
| dpmr | 0.1.9 | Data Package Manager for R | Christopher Gandrud |
| DPP | 0.1.2 | Inference of Parameters of Normal Distributions from a Mixture
of Normals | Luis M. Avila |
| DPpack | 0.1.0 | Differentially Private Statistical Analysis and Machine Learning | Spencer Giddens |
| dppmix | 0.1.1 | Determinantal Point Process Mixture Models | David J. H. Shih |
| DPQ | 0.5-8 | Density, Probability, Quantile ('DPQ') Computations | Martin Maechler |
| DPQmpfr | 0.3-2 | DPQ (Density, Probability, Quantile) Distribution Computations
using MPFR | Martin Maechler |
| dprop | 0.1.0 | Computation of Some Important Distributional Properties | Muhammad Imran |
| dpseg | 0.1.1 | Piecewise Linear Segmentation by Dynamic Programming | Rainer Machne |
| DPTM | 1.3.8 | Dynamic Panel Multiple Threshold Model with Fixed Effects | Bai Hujie |
| DPtree | 1.0.1 | Dirichlet-Based Polya Tree | Shaoyang Ning |
| DQAgui | 0.2.3 | Graphical User Interface for Data Quality Assessment | Lorenz A. Kapsner |
| DQAstats | 0.3.4 | Core Functions for Data Quality Assessment | Lorenz A. Kapsner |
| dqrng | 0.3.2 | Fast Pseudo Random Number Generators | Ralf Stubner |
| dQTG.seq | 1.0.2 | A BSA Software for Detecting All Types of QTLs in BC, DH, RIL
and F2 | Yuan-Ming Zhang |
| dr | 3.0.10 | Methods for Dimension Reduction for Regression | Sanford Weisberg |
| DR.SC | 3.4 | Joint Dimension Reduction and Spatial Clustering | Wei Liu |
| dr4pl | 2.0.0 | Dose Response Data Analysis using the 4 Parameter Logistic (4pl)
Model | Justin T. Landis |
| dracor | 0.2.6 | Decode Draco Format 3D Mesh Data | Gregory Jefferis |
| dragonking | 0.1.0 | Statistical Tools to Identify Dragon Kings | Raoul Wadhwa |
| dragracer | 0.1.7 | Data Sets for RuPaul's Drag Race | Steve Miller |
| dragulaR | 0.3.1 | Drag and Drop Elements in 'Shiny' using 'Dragula Javascript
Library' | Zygmunt Zawadzki |
| drake | 7.13.9 | A Pipeline Toolkit for Reproducible Computation at Scale | William Michael Landau |
| DramaAnalysis | 3.0.2 | Analysis of Dramatic Texts | Nils Reiter |
| drape | 0.0.1 | Doubly Robust Average Partial Effects | Harvey Klyne |
| drat | 0.2.4 | 'Drat' R Archive Template | Dirk Eddelbuettel |
| draw | 1.0.0 | Wrapper Functions for Producing Graphics | Richard Wen |
| drawer | 0.2.0.1 | An Interactive HTML Image Editing Tool | Le Zhang |
| DRaWR | 1.0.3 | Discriminative Random Walk with Restart | Charles Blatti |
| drawsample | 1.0.1 | Draw Samples with the Desired Properties from a Data Set | Kubra Atalay Kabasakal |
| DRAYL | 1.0 | Computation of Rayleigh Densities of Arbitrary Dimension | Martin Wiegand |
| DrBats | 0.1.6 | Data Representation: Bayesian Approach That's Sparse | Benedicte Fontez |
| drc | 3.0-1 | Analysis of Dose-Response Curves | Christian Ritz |
| drcarlate | 1.2.0 | Improving Estimation Efficiency in CAR with Imperfect Compliance | Mingxin Zhang <21110680035 at m.fudan.edu.cn> |
| drcSeedGerm | 1.0.1 | Utilities for Data Analyses in Seed Germination/Emergence Assays | Andrea Onofri |
| drcte | 1.0.30 | Statistical Approaches for Time-to-Event Data in Agriculture | Andrea Onofri |
| drda | 2.0.3 | Dose-Response Data Analysis | Alberto Pessia |
| DRDID | 1.0.6 | Doubly Robust Difference-in-Differences Estimators | Pedro H. C. Sant'Anna |
| DrDimont | 0.1.4 | Drug Response Prediction from Differential Multi-Omics Networks | Katharina Baum |
| DRDRtest | 0.1 | A Nonparametric Doubly Robust Test for Continuous Treatment
Effect | Guangwei Weng |
| dreamer | 3.1.0 | Dose Response Models for Bayesian Model Averaging | Richard Daniel Payne |
| dreamerr | 1.4.0 | Error Handling Made Easy | Laurent Berge |
| DREGAR | 0.1.3.0 | Regularized Estimation of Dynamic Linear Regression in the
Presence of Autocorrelated Residuals (DREGAR) | Hamed Haselimashhadi |
| drf | 1.1.0 | Distributional Random Forests | Loris Michel |
| drgee | 1.1.10 | Doubly Robust Generalized Estimating Equations | Johan Zetterqvist |
| DRHotNet | 2.3 | Differential Risk Hotspots in a Linear Network | Alvaro Briz-Redon |
| drhur | 1.1.0 | Learning R with Dr. Hu | Yue Hu |
| DriftBurstHypothesis | 0.4.0.1 | Calculates the Test-Statistic for the Drift Burst Hypothesis | Emil Sjoerup |
| drifter | 0.2.1 | Concept Drift and Concept Shift Detection for Predictive Models | Przemyslaw Biecek |
| DrillR | 0.1 | R Driver for Apache Drill | Hanbing Yang |
| drimmR | 1.0.1 | Estimation, Simulation and Reliability of Drifting Markov Models | Nicolas Vergne |
| DrImpute | 1.0 | Imputing Dropout Events in Single-Cell RNA-Sequencing Data | Il-Youp Kwak |
| DRIP | 1.9 | Discontinuous Regression and Image Processing | Yicheng Kang |
| driveR | 0.4.1 | Prioritizing Cancer Driver Genes Using Genomics Data | Ege Ulgen |
| droll | 0.1.0 | Analyze Roll Distributions | C. Lente |
| DRomics | 2.5-2 | Dose Response for Omics | Aurelie Siberchicot |
| dropout | 2.1.1 | Handling Incomplete Responses in Survey Data Analysis | Hendrik Mann |
| droptest | 0.1.3 | Simulates LOX Drop Testing | Chad Ross |
| drord | 1.0.1 | Doubly-Robust Estimators for Ordinal Outcomes | David Benkeser |
| drought | 1.2 | Statistical Modeling and Assessment of Drought | Zengchao Hao |
| drpop | 0.0.3 | Efficient and Doubly Robust Population Size Estimation | Manjari Das |
| DRquality | 0.2.1 | Quality Measurements for Dimensionality Reduction | Michael Thrun |
| DRR | 0.0.4 | Dimensionality Reduction via Regression | Guido Kraemer |
| drtmle | 1.1.2 | Doubly-Robust Nonparametric Estimation and Inference | David Benkeser |
| drugDemand | 0.1.3 | Drug Demand Forecasting | Kaifeng Lu |
| drugdevelopR | 1.0.1 | Utility-Based Optimal Phase II/III Drug Development Planning | Lukas D. Sauer |
| DrugExposureDiagnostics | 1.0.4 | Diagnostics for OMOP Common Data Model Drug Records | Ger Inberg |
| drugprepr | 0.0.4 | Prepare Electronic Prescription Record Data to Estimate Drug
Exposure | David Selby |
| DrugSim2DR | 0.1.1 | Predict Drug Functional Similarity to Drug Repurposing | Junwei Han |
| DrugUtilisation | 0.5.3 | Summarise Patient-Level Drug Utilisation in Data Mapped to the
OMOP Common Data Model | Marti Catala |
| drumr | 0.1.0 | Turn R into a Drum Machine | James Martherus |
| DRviaSPCN | 0.1.4 | Drug Repurposing in Cancer via a Subpathway Crosstalk Network | Junwei Han |
| ds | 4.0 | Descriptive Statistics | Emmanuel Arnhold |
| ds4psy | 1.0.0 | Data Science for Psychologists | Hansjoerg Neth |
| dsa | 1.0.12 | Seasonal Adjustment of Daily Time Series | Daniel Ollech |
| DSAIDE | 0.9.6 | Dynamical Systems Approach to Infectious Disease Epidemiology
(Ecology/Evolution) | Andreas Handel |
| DSAIRM | 0.9.6 | Dynamical Systems Approach to Immune Response Modeling | Andreas Handel |
| DSAM | 1.0.2 | Data Splitting Algorithms for Model Developments | Junyi Chen |
| dsample | 0.91.3.4 | Discretization-Based Direct Random Sample Generation | Chel Hee Lee |
| dsb | 1.0.3 | Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq) | Matthew Mulè |
| DSBayes | 2023.1.0 | Bayesian Subgroup Analysis in Clinical Trials | Ravi Varadhan |
| dscore | 1.8.0 | D-Score for Child Development | Stef van Buuren |
| dsdp | 0.1.1 | Density Estimation with Semidefinite Programming | Satoshi Kakihara |
| dsem | 1.2.1 | Fit Dynamic Structural Equation Models | James Thorson |
| dsfa | 2.0.2 | Distributional Stochastic Frontier Analysis | Rouven Schmidt |
| dsims | 1.0.4 | Distance Sampling Simulations | Laura Marshall |
| DSjobtracker | 2.0.0 | What Skills and Qualifications are Required for Data Science
Related Jobs? | Thiyanga S. Talagala |
| DSL | 0.1-7 | Distributed Storage and List | Stefan Theussl |
| dslabs | 0.8.0 | Data Science Labs | Rafael A. Irizarry |
| dslice | 1.2.2 | Dynamic Slicing | Chao Ye |
| DSLite | 1.4.0 | 'DataSHIELD' Implementation on Local Datasets | Yannick Marcon |
| dsm | 2.3.3 | Density Surface Modelling of Distance Sampling Data | Laura Marshall |
| dsmisc | 0.3.3 | Data Science Box of Pandora Miscellaneous | Peter Meissner |
| dsmmR | 1.0.2 | Estimation and Simulation of Drifting Semi-Markov Models | Ioannis Mavrogiannis |
| DSMolgenisArmadillo | 2.0.5 | 'DataSHIELD' Client for 'MOLGENIS Armadillo' | Mariska Slofstra |
| dsmSearch | 1.0.1 | DSM and LiDAR downloader | Xiaohao Yang |
| DSOpal | 1.4.0 | 'DataSHIELD' Implementation for 'Opal' | Yannick Marcon |
| dsos | 0.1.2 | Dataset Shift with Outlier Scores | Vathy M. Kamulete |
| DSpoty | 0.1.0 | Get 'Spotify' API Multiple Information | Alberto Almuiña |
| dsrTest | 1.0.0 | Tests and Confidence Intervals on Directly Standardized Rates
for Several Methods | Michael Nelson |
| DSSAT | 0.0.9 | A Comprehensive R Interface for the DSSAT Cropping Systems Model | Phillip D. Alderman |
| dssd | 1.0.2 | Distance Sampling Survey Design | Laura Marshall |
| DSSP | 0.1.1 | Implementation of the Direct Sampling Spatial Prior | Gentry White |
| dst | 1.5.2 | Using the Theory of Belief Functions | Claude Boivin |
| dstabledist | 0.1.0 | The Discrete Stable Distribution Functions | Krutto Annika |
| DstarM | 0.4.0 | Analyze Two Choice Reaction Time Data with the D*M Method | Don van den Bergh |
| dstat | 1.0.4 | Conditional Sensitivity Analysis for Matched Observational
Studies | Paul R. Rosenbaum |
| dstat2x2xk | 0.2.0 | Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables | Paul R. Rosenbaum |
| dSTEM | 2.0-1 | Multiple Testing of Local Extrema for Detection of Change Points | Zhibing He |
| dSVA | 1.0 | Direct Surrogate Variable Analysis | Seunggeun (Shawn) Lee |
| DSWE | 1.8.2 | Data Science for Wind Energy | Yu Ding |
| DT | 0.33 | A Wrapper of the JavaScript Library 'DataTables' | Joe Cheng |
| Dtableone | 1.1.0 | Tabular Comparison of Paired Diagnostic Tests | Youngmi Park <02141 at snubh.org> |
| dtangle | 2.0.9 | Cell Type Deconvolution from Gene Expressions | Gregory Hunt |
| DTAplots | 1.0.2.5 | Creates Plots Accompanying Bayesian Diagnostic Test Accuracy
Meta-Analyses | Ian Schiller |
| DTAT | 0.3-6 | Dose Titration Algorithm Tuning | David C. Norris |
| DTAXG | 0.1.0 | Diagnostic Test Assessment in the Absence of Gold Standard | Zhicheng Du |
| dTBM | 3.0 | Multi-Way Spherical Clustering via Degree-Corrected Tensor Block
Models | Jiaxin Hu |
| dtComb | 1.0.2 | Statistical Combination of Diagnostic Tests | Gokmen Zararsiz |
| DTComPair | 1.2.2 | Comparison of Binary Diagnostic Tests in a Paired Study Design | Christian Stock |
| DtD | 0.2.2 | Distance to Default | Benjamin Christoffersen |
| DTDA | 3.0.1 | Doubly Truncated Data Analysis | Carla Moreira |
| DTDA.cif | 1.0.2 | Doubly Truncated Data Analysis, Cumulative Incidence Functions | José Carlos Soage González |
| DTDA.ni | 1.0.1 | Doubly Truncated Data Analysis, Non Iterative | José Carlos Soage González |
| dtgiw | 1.0.0 | Discrete Transmuted Generalized Inverse Weibull Distribution | Atchanut Rattanalertnusorn |
| dti | 1.5.4 | Analysis of Diffusion Weighted Imaging (DWI) Data | Karsten Tabelow |
| DTMCPack | 0.1-3 | Suite of Functions Related to Discrete-Time Discrete-State
Markov Chains | William Nicholson |
| dtp | 0.1.0 | Dynamic Panel Threshold Model | Taha Zaghdoudi |
| dtpcrm | 0.1.1 | Dose Transition Pathways for Continual Reassessment Method | Christina Yap |
| dtplyr | 1.3.1 | Data Table Back-End for 'dplyr' | Hadley Wickham |
| dtrackr | 0.4.4 | Track your Data Pipelines | Robert Challen |
| DTRKernSmooth | 1.1.0 | Estimate and Make Inference About Optimal Treatment Regimes via
Smoothed Methods | Yunan Wu |
| DTRlearn2 | 1.1 | Statistical Learning Methods for Optimizing Dynamic Treatment
Regimes | Yuan Chen |
| DTRreg | 2.2 | DTR Estimation and Inference via G-Estimation, Dynamic WOLS,
Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv) | Shannon T. Holloway |
| dtrSurv | 1.4 | Dynamic Treatment Regimes for Survival Analysis | Shannon T. Holloway |
| DTSEA | 0.0.3 | Drug Target Set Enrichment Analysis | Junwei Han |
| DTSg | 1.1.3 | A Class for Working with Time Series Data Based on 'data.table'
and 'R6' with Largely Optional Reference Semantics | Gerold Hepp |
| dtt | 0.1-2 | Discrete Trigonometric Transforms | Lukasz Komsta |
| dttr2 | 0.5.0 | Manipulate Date, POSIXct and hms Vectors | Ayla Pearson |
| dtts | 0.1.2 | 'data.table' Time-Series | Dirk Eddelbuettel |
| dtw | 1.23-1 | Dynamic Time Warping Algorithms | Toni Giorgino |
| DTWBI | 1.1 | Imputation of Time Series Based on Dynamic Time Warping | Emilie Poisson-Caillault |
| dtwclust | 5.5.12 | Time Series Clustering Along with Optimizations for the Dynamic
Time Warping Distance | Alexis Sarda |
| DTwrappers | 0.0.2 | Simplified Data Analysis with Wrapper Functions for the
'Data.Table' Package | Mayur Bansal |
| DTwrappers2 | 0.0.2 | Extensions of 'DTwrappers' | Srivastav Budugutta |
| DTWUMI | 1.0 | Imputation of Multivariate Time Series Based on Dynamic Time
Warping | POISSON-CAILLAULT Emilie |
| dual | 0.0.5 | Automatic Differentiation with Dual Numbers | Luca Sartore |
| dual.spls | 0.1.4 | Dual Sparse Partial Least Squares Regression | Louna Alsouki |
| dualScale | 1.0.0 | Dual Scaling Analysis of Data | Roberto de la Banda |
| dualtrees | 0.1.5 | Decimated and Undecimated 2D Complex Dual-Tree Wavelet Transform | Sebastian Buschow |
| duawranglr | 0.6.7 | Securely Wrangle Dataset According to Data Usage Agreement | Benjamin Skinner |
| dub | 0.2.0 | Unpacking Assignment for Lists via Pattern Matching | Eugene Ha |
| duckdb | 0.10.1 | DBI Package for the DuckDB Database Management System | Kirill Müller |
| duckdbfs | 0.0.4 | High Performance Remote File System, Database and 'Geospatial'
Access Using 'duckdb' | Carl Boettiger |
| duckduckr | 1.0.0 | Simple Client for the DuckDuckGo Instant Answer API | Schumacher Dirk |
| duckplyr | 0.3.2 | A 'DuckDB'-Backed Version of 'dplyr' | Kirill Müller |
| duke | 0.0.3 | Creating a Color-Blind Friendly Duke Color Package | Aidan Gildea |
| dumbbell | 0.1 | Displaying Changes Between Two Points Using Dumbbell Plots | Foo Cheung |
| dummy | 0.1.3 | Automatic Creation of Dummies with Support for Predictive
Modeling | Michel Ballings |
| dundermifflin | 0.1.1 | The Office Quotes on-Demand | Tyler Bradley |
| dunlin | 0.1.7 | Preprocessing Tools for Clinical Trial Data | Liming Li |
| dunn.test | 1.3.5 | Dunn's Test of Multiple Comparisons Using Rank Sums | Alexis Dinno |
| dupiR | 1.2.1 | Bayesian Inference from Count Data using Discrete Uniform Priors | Federico Comoglio |
| dupNodes | 0.2.0 | Creates an 'igraph' Object that Duplicates Nodes with Self-Loops | Juan Julián Merelo-Guervós |
| dupree | 0.3.0 | Identify Duplicated R Code in a Project | Russ Hyde |
| Durga | 2.0 | Effect Size Estimation and Visualisation | Jim McLean |
| DVHmetrics | 0.4.2 | Analyze Dose-Volume Histograms and Check Constraints | Daniel Wollschlaeger |
| dvir | 3.2.1 | Disaster Victim Identification | Magnus Dehli Vigeland |
| dvmisc | 1.1.4 | Convenience Functions, Moving Window Statistics, and Graphics | Dane R. Van Domelen |
| dvqcc | 0.1.0 | Dynamic VAR - Based Control Charts for Batch Process Monitoring | Danilo Marcondes Filho |
| dwctaxon | 2.0.3 | Edit and Validate Darwin Core Taxon Data | Joel H. Nitta |
| DWDLargeR | 0.1-0 | Fast Algorithms for Large Scale Generalized Distance Weighted
Discrimination | Kim-Chuan Toh |
| dwdradar | 0.2.10 | Read Binary Radar Files from 'DWD' (German Weather Service) | Berry Boessenkool |
| DWLasso | 1.1 | Degree Weighted Lasso | Nurgazy Sulaimanov |
| dwlm | 0.1.0 | Doubly Weighted Linear Model | Hugo Gasca-Aragon |
| DWLS | 0.1.0 | Gene Expression Deconvolution Using Dampened Weighted Least
Squares | Adriana Sistig |
| dwp | 1.1 | Density-Weighted Proportion | Daniel Dalthorp |
| DWreg | 2.0 | Parametric Regression for Discrete Response | Veronica Vinciotti |
| dyads | 1.2.1 | Dyadic Network Analysis | Bonne J.H. Zijlstra |
| dydea | 0.1.0 | Detection of Chaotic and Regular Intervals in the Data | Radek Halfar |
| dygraphs | 1.1.1.6 | Interface to 'Dygraphs' Interactive Time Series Charting Library | Petr Shevtsov |
| Dykstra | 1.0-0 | Quadratic Programming using Cyclic Projections | Nathaniel E. Helwig |
| DYM | 0.2 | Did You Mean? | Kosei Abe |
| dymo | 1.1.0 | Dynamic Mode Decomposition for Multivariate Time Feature
Prediction | Giancarlo Vercellino |
| dyn | 0.2-9.6 | Time Series Regression | M. Leeds |
| dyn.log | 0.4.0 | Dynamic Logging for R Inspired by Configuration Driven
Development | Brandon Moretz |
| dynamac | 0.1.12 | Dynamic Simulation and Testing for Single-Equation ARDL Models | Soren Jordan |
| dynamAedes | 2.2.9 | A Unified Mechanistic Model for the Population Dynamics of
Invasive Aedes Mosquitoes | Matteo Marcantonio |
| dynamic | 1.1.0 | DFI Cutoffs for Latent Variable Models | Melissa G. Wolf |
| DynamicGP | 1.1-9 | Modelling and Analysis of Dynamic Computer Experiments | Ru Zhang |
| dynamicSDM | 1.3.3 | Species Distribution and Abundance Modelling at High
Spatio-Temporal Resolution | Rachel Dobson |
| dynamicTreeCut | 1.63-1 | Methods for Detection of Clusters in Hierarchical Clustering
Dendrograms | Peter Langfelder |
| dynamite | 1.4.9 | Bayesian Modeling and Causal Inference for Multivariate
Longitudinal Data | Santtu Tikka |
| DynaRankR | 1.1.0 | Inferring Longitudinal Dominance Hierarchies | Eli D. Strauss |
| DynareR | 0.1.4 | Bringing the Power of 'Dynare' to 'R', 'R Markdown', and
'Quarto' | Sagiru Mati |
| dynaSpec | 1.0.1 | Dynamic Spectrogram Visualizations | Marcelo Araya-Salas |
| DYNATE | 0.1 | Dynamic Aggregation Testing | Xuechan Li |
| dynatop | 0.2.3 | An Implementation of Dynamic TOPMODEL Hydrological Model in R | Paul Smith |
| dynatopGIS | 0.2.5 | Algorithms for Helping Build Dynamic TOPMODEL Implementations
from Spatial Data | Paul Smith |
| dynaTree | 1.2-16 | Dynamic Trees for Learning and Design | Robert B. Gramacy |
| dynBiplotGUI | 1.1.6 | Full Interactive GUI for Dynamic Biplot in R | Jaime Egido |
| DynClust | 3.24 | Denoising and Clustering for Dynamical Image Sequence (2D or
3D)+t | Yves Rozenholc |
| dyncomp | 0.0.2-1 | Complexity of Short and Coarse-Grained Time Series | Tim Kaiser |
| dynConfiR | 0.0.4 | Dynamic Models for Confidence and Response Time Distributions | Sebastian Hellmann |
| dynCorr | 1.1.0 | Dynamic Correlation Package | Joel Dubin |
| dyndimred | 1.0.4 | Dimensionality Reduction Methods in a Common Format | Robrecht Cannoodt |
| dynetNLAResistance | 0.1.0 | Resisting Neighbor Label Attack in a Dynamic Network | Jiaqi Tang <1107967177 at qq.com> |
| DynForest | 1.1.3 | Random Forest with Multivariate Longitudinal Predictors | Anthony Devaux |
| dyngen | 1.0.5 | A Multi-Modal Simulator for Spearheading Single-Cell Omics
Analyses | Robrecht Cannoodt |
| dynlm | 0.3-6 | Dynamic Linear Regression | Achim Zeileis |
| dynmix | 2.0 | Estimation of Dynamic Finite Mixtures | Krzysztof Drachal |
| DynNom | 5.0.2 | Visualising Statistical Models using Dynamic Nomograms | Amirhossein Jalali |
| dynpanel | 0.1.0 | Dynamic Panel Data Models | Taha Zaghdoudi |
| dynparam | 1.0.2 | Creating Meta-Information for Parameters | Robrecht Cannoodt |
| dynpred | 0.1.2 | Companion Package to "Dynamic Prediction in Clinical Survival
Analysis" | Hein Putter |
| dynprog | 0.1.1 | Dynamic Programming Domain-Specific Language | Thomas Mailund |
| dynr | 0.1.16-105 | Dynamic Models with Regime-Switching | Michael D. Hunter |
| dynRB | 0.18 | Dynamic Range Boxes | Marco Tschimpke |
| dynsim | 1.2.3 | Dynamic Simulations of Autoregressive Relationships | Christopher Gandrud |
| dynsurv | 0.4-6 | Dynamic Models for Survival Data | Wenjie Wang |
| dyntaper | 1.1 | Dynamic Stem Profile Models, AKA Tree Taper Equations | Oscar Garcia |
| DynTxRegime | 4.15 | Methods for Estimating Optimal Dynamic Treatment Regimes | Shannon T. Holloway |
| dynutils | 1.0.11 | Common Functionality for the 'dynverse' Packages | Robrecht Cannoodt |
| dynwrap | 1.2.4 | Representing and Inferring Single-Cell Trajectories | Robrecht Cannoodt |
| dySEM | 1.0.0 | Dyadic Structural Equation Modeling | John Sakaluk |
| DysPIA | 1.3 | Dysregulated Pathway Identification Analysis | Limei Wang |
| DysPIAData | 0.1.2 | Background and Pathway Data Used in 'DysPIA' | Limei Wang |
| DySS | 1.0 | Dynamic Screening Systems | Lu You |
| e1071 | 1.7-14 | Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien | David Meyer |
| E4tools | 0.1.1 | Management and Processing Tools for Data Produced by the
Empatica E4 | Evan Kleiman |
| eadrm | 0.1.4 | Fitting Dose-Response Models Using an Evolutionary Algorithm | Eric Bair |
| eaf | 2.5 | Plots of the Empirical Attainment Function | Manuel López-Ibáñez |
| Eagle | 2.5 | Multiple Locus Association Mapping on a Genome-Wide Scale | Andrew George |
| EAinference | 0.2.3 | Estimator Augmentation and Simulation-Based Inference | Seunghyun Min |
| eAnalytics | 0.3 | Dynamic Web-Based Analytics for the Energy Industry | Paul Govan |
| earlygating | 1.1 | Properties of Bayesian Early Gating Designs | Elias Laurin Meyer |
| earlyR | 0.0.5 | Estimation of Transmissibility in the Early Stages of a Disease
Outbreak | Thibaut Jombart |
| earlywarnings | 1.1.29 | Early Warning Signals for Critical Transitions in Time Series | Vasilis Dakos |
| earth | 5.3.3 | Multivariate Adaptive Regression Splines | Stephen Milborrow |
| earthdatalogin | 0.0.2 | NASA 'EarthData' Login Utilities | Carl Boettiger |
| earthtide | 0.1.2 | Parallel Implementation of 'ETERNA 3.40' for Prediction and
Analysis of Earth Tides | Jonathan Kennel |
| earthtones | 0.1.1 | Derive a Color Palette from a Particular Location on Earth | Will Cornwell |
| Ease | 0.1.2 | Simulating Explicit Population Genetics Models | Ehouarn Le Faou |
| easy.utils | 0.0.4 | Frequently Used Functions for Easy R Programming | Yuchen Li |
| EasyABC | 1.5.2 | Efficient Approximate Bayesian Computation Sampling Schemes | Nicolas Dumoulin |
| easyAHP | 0.1.1 | Analytic Hierarchy Process (AHP) | Zhicheng Du |
| easyalluvial | 0.3.2 | Generate Alluvial Plots with a Single Line of Code | Bjoern Koneswarakantha |
| easyanova | 10.0 | Analysis of Variance and Other Important Complementary Analyses | Emmanuel Arnhold |
| easybgm | 0.1.2 | Extracting and Visualizing Bayesian Graphical Models | Karoline Huth |
| easycensus | 1.1.1 | Quickly Find, Extract, and Marginalize U.S. Census Tables | Cory McCartan |
| easyclimate | 0.2.1 | Easy Access to High-Resolution Daily Climate Data for Europe | Verónica Cruz-Alonso |
| easyCODA | 0.34.3 | Compositional Data Analysis in Practice | Michael Greenacre |
| easycsv | 1.0.8 | Load Multiple 'csv' and 'txt' Tables | Dror Bogin |
| easydb | 1.1.0 | Easily Connect to Common Types of Databases | Sam El-Kamand |
| easyDes | 6.0 | An Easy Way to Descriptive Analysis | Zhicheng Du |
| EasyDescribe | 0.1.2 | A Convenient Way of Descriptive Statistics | Xiuquan Nie |
| easyDifferentialGeneCoexpression | 1.4 | Easily Performs Differential Coexpression Analysis | Davide Chicco |
| easylabel | 0.2.8 | Interactive Scatter Plot and Volcano Plot Labels | Myles Lewis |
| EasyMx | 0.3-2 | Easy Model-Builder Functions for 'OpenMx' | Michael D. Hunter |
| easyNCDF | 0.1.2 | Tools to Easily Read/Write NetCDF Files into/from
Multidimensional R Arrays | An-Chi Ho |
| easynls | 5.0 | Easy Nonlinear Model | Emmanuel Arnhold |
| easypackages | 0.1.0 | Easy Loading and Installing of Packages | Jake Sherman |
| easypower | 1.0.2 | Sample Size Estimation for Experimental Designs | Aaron McGarvey |
| easyPSID | 0.1.2 | Reading, Formatting, and Organizing the Panel Study of Income
Dynamics (PSID) | Brian Aronson |
| easyPubMed | 2.13 | Search and Retrieve Scientific Publication Records from PubMed | Damiano Fantini |
| easyr | 0.5-11 | Helpful Functions from Oliver Wyman Actuarial Consulting | Bryce Chamberlain |
| easyreg | 4.0 | Easy Regression | Emmanuel Arnhold |
| easySdcTable | 1.0.7 | Easy Interface to the Statistical Disclosure Control Package
'sdcTable' Extended with Own Implementation of
'GaussSuppression' | Øyvind Langsrud |
| easystats | 0.7.1 | Framework for Easy Statistical Modeling, Visualization, and
Reporting | Daniel Lüdecke |
| easySVG | 0.1.0 | An Easy SVG Basic Elements Generator | Yuting Dai |
| easyVerification | 0.4.5 | Ensemble Forecast Verification for Large Data Sets | Jonas Bhend |
| eat | 0.1.4 | Efficiency Analysis Trees | Miriam Esteve |
| eatATA | 1.1.2 | Create Constraints for Small Test Assembly Problems | Benjamin Becker |
| eatDB | 0.5.0 | Spreadsheet Interface for Relational Databases | Benjamin Becker |
| eatGADS | 1.1.0 | Data Management of Large Hierarchical Data | Benjamin Becker |
| EATME | 0.1.0 | Exponentially Weighted Moving Average with Adjustments to
Measurement Error | Cheng-Kuan Lin Developer |
| eatRep | 0.14.7 | Educational Assessment Tools for Replication Methods | Sebastian Weirich |
| eatTools | 0.7.6 | Miscellaneous Functions for the Analysis of Educational
Assessments | Sebastian Weirich |
| eba | 1.10-0 | Elimination-by-Aspects Models | Florian Wickelmaier |
| ebal | 0.1-8 | Entropy Reweighting to Create Balanced Samples | Jens Hainmueller |
| EBASE | 1.0.1 | Estuarine Bayesian Single-Station Estimation Method for
Ecosystem Metabolism | Marcus Beck |
| EbayesThresh | 1.4-12 | Empirical Bayes Thresholding and Related Methods | Peter Carbonetto |
| EBCHS | 0.1.0 | An Empirical Bayes Method for Chi-Squared Data | Lilun Du |
| ebci | 1.0.0 | Robust Empirical Bayes Confidence Intervals | Michal Kolesár |
| ebdbNet | 1.2.8 | Empirical Bayes Estimation of Dynamic Bayesian Networks | Andrea Rau |
| EBEN | 5.1 | Empirical Bayesian Elastic Net | Anhui Huang |
| ebGenotyping | 2.0.1 | Genotyping and SNP Detection using Next Generation Sequencing
Data | Gongyi Huang<53hgy at 163.com> |
| EBglmnet | 6.0 | Empirical Bayesian Lasso and Elastic Net Methods for Generalized
Linear Models | Anhui Huang |
| ebirdst | 3.2022.3 | Access and Analyze eBird Status and Trends Data Products | Matthew Strimas-Mackey |
| EBMAforecast | 1.0.32 | Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs
Sampling or EM-Algorithms | Florian M. Hollenbach |
| ebmc | 1.0.1 | Ensemble-Based Methods for Class Imbalance Problem | "Hsiang Hao, Chen" |
| ebmstate | 0.1.4 | Empirical Bayes Multi-State Cox Model | Rui Costa |
| ebnm | 1.1-2 | Solve the Empirical Bayes Normal Means Problem | Peter Carbonetto |
| EBPRS | 2.1.0 | Derive Polygenic Risk Score Based on Emprical Bayes Theory | Shuang Song |
| EBrank | 1.0.0 | Empirical Bayes Ranking | John Ferguson |
| ebreg | 0.1.3 | Implementation of the Empirical Bayes Method | Yiqi Tang |
| eBsc | 4.17 | "Empirical Bayes Smoothing Splines with Correlated Errors" | Francisco Rosales |
| ebTobit | 1.0.1 | Empirical Bayesian Tobit Matrix Estimation | Alton Barbehenn |
| ebvcube | 0.1.7 | Working with netCDF for Essential Biodiversity Variables | Luise Quoss |
| ec50estimator | 0.1.0 | An Automated Way to Estimate EC50 for Stratified Datasets | Kaique dos S. Alves |
| ecan | 0.2.1 | Ecological Analysis and Visualization | Toshikazu Matsumura |
| eCAR | 0.1.2 | Eigenvalue CAR Models | Garritt L. Page |
| ecb | 0.4.2 | Programmatic Access to the European Central Bank's Statistical
Data Warehouse | Eric Persson |
| ecce | 2.0.6 | Translate English Words into Chinese, or Translate Chinese Words
into English | Xinyuan Chu |
| Ecdat | 0.4-2 | Data Sets for Econometrics | Spencer Graves |
| ecdfHT | 0.1.1 | Empirical CDF for Heavy Tailed Data | John P Nolan |
| ecespa | 1.1-17 | Functions for Spatial Point Pattern Analysis | Marcelino de la Cruz Rot |
| Ecfun | 0.3-2 | Functions for 'Ecdat' | Spencer Graves |
| ECGofTestDx | 0.4 | A Goodness-of-Fit Test for Elliptical Distributions with
Diagnostic Capabilities | Pierre Lafaye De Micheaux |
| ech | 0.1.3 | Downloading and Processing Microdata from ECH-INE (Uruguay) | Gabriela Mathieu |
| ECharts2Shiny | 0.2.13 | Embedding Interactive Charts Generated with ECharts Library into
Shiny Applications | Xiaodong Deng |
| echarts4r | 0.4.5 | Create Interactive Graphs with 'Echarts JavaScript' Version 5 | David Munoz Tord |
| echarty | 1.6.3 | Minimal R/Shiny Interface to JavaScript Library 'ECharts' | Larry Helgason |
| echelon | 0.2.0 | The Echelon Analysis and the Detection of Spatial Clusters using
Echelon Scan Method | Fumio Ishioka |
| eChem | 1.0.0 | Simulations for Electrochemistry Experiments | David Harvey |
| echo | 0.1.0 | Echo Code Evaluations | Jordan Mark Barbone |
| echo.find | 4.0.1 | Finding Rhythms Using Extended Circadian Harmonic Oscillators
(ECHO) | Jennifer Hurley |
| echogram | 0.1.2 | Echogram Visualisation and Analysis | Héctor Villalobos |
| echoice2 | 0.2.4 | Choice Models with Economic Foundation | Nino Hardt |
| echor | 0.1.9 | Access EPA 'ECHO' Data | Michael Schramm |
| ecic | 0.0.3 | Extended Changes-in-Changes | Frederic Kluser |
| ecipex | 1.1 | Efficient Calculation of Fine Structure Isotope Patterns via
Fourier Transforms of Simplex-Based Elemental Models | Andreas Ipsen |
| ECLRMC | 1.0 | Ensemble Correlation-Based Low-Rank Matrix Completion | Mahdi Ghadamyari |
| eclust | 0.1.0 | Environment Based Clustering for Interpretable Predictive Models
in High Dimensional Data | Sahir Rai Bhatnagar |
| ecm | 7.2.0 | Build Error Correction Models | Gaurav Bansal |
| ecmwfr | 1.5.0 | Interface to 'ECMWF' and 'CDS' Data Web Services | Koen Hufkens |
| ecocbo | 0.10.2 | Calculating Optimum Sampling Effort in Community Ecology | Arturo Sanchez-Porras |
| ecochange | 2.9.3.1 | Integrating Ecosystem Remote Sensing Products to Derive EBV
Indicators | Wilson Lara Henao |
| ecocomDP | 1.3.1 | Tools to Create, Use, and Convert ecocomDP Data | Colin Smith |
| ecoCopula | 1.0.2 | Graphical Modelling and Ordination using Copulas | Gordana Popovic |
| EcoDiet | 2.0.1 | Estimating a Diet Matrix from Biotracer and Stomach Content Data | Pierre-Yves Hernvann |
| ecodist | 2.1.3 | Dissimilarity-Based Functions for Ecological Analysis | Sarah Goslee |
| EcoEnsemble | 1.0.5 | A General Framework for Combining Ecosystem Models | Michael A. Spence |
| Ecohydmod | 1.0.0 | Ecohydrological Modelling | Rodolfo Souza |
| EcoIndR | 2.0 | Ecological Indicators | Castor Guisande Gonzalez |
| ECoL | 0.3.0 | Complexity Measures for Supervised Problems | Luis Garcia |
| ecolMod | 1.2.6.4 | "A Practical Guide to Ecological Modelling - Using R as a
Simulation Platform" | Karline Soetaert |
| ecolottery | 1.0.0 | Coalescent-Based Simulation of Ecological Communities | François Munoz |
| ecolRxC | 0.1.1-10 | Ecological Inference of RxC Tables by Latent Structure
Approaches | Jose M. Pavía |
| ecolTest | 0.0.1 | Community Ecology Tests | Hugo Salinas |
| EconDemand | 1.0 | General Analysis of Various Economics Demand Systems | Tianhao Wu |
| econet | 1.0.0 | Estimation of Parameter-Dependent Network Centrality Measures | Valerio Leone Sciabolazza |
| EcoNetGen | 0.2.4 | Simulate and Sample from Ecological Interaction Networks | Carl Boettiger |
| econetwork | 0.7.0 | Analyzing Ecological Networks | Vincent Miele |
| EconGeo | 2.0 | Computing Key Indicators of the Spatial Distribution of Economic
Activities | Pierre-Alexandre Balland |
| economiccomplexity | 1.5.0 | Computational Methods for Economic Complexity | Mauricio Vargas Sepulveda |
| econullnetr | 0.2.1 | Null Model Analysis for Ecological Networks | Ian Vaughan |
| ecopower | 0.2.0 | Power Estimates and Equivalence Testing for Multivariate Data | Michelle Lim |
| ecoreg | 0.2.4 | Ecological Regression using Aggregate and Individual Data | Christopher Jackson |
| ecoregime | 0.1.3 | Analysis of Ecological Dynamic Regimes | Martina Sánchez-Pinillos |
| ecorest | 1.0.0 | Conducts Analyses Informing Ecosystem Restoration Decisions | S. Kyle McKay |
| ecos | 0.1.6 | Economic Statistics System of the Bank of Korea | Seokhoon Joo |
| ecosim | 1.3-4 | Toolbox for Aquatic Ecosystem Modeling | Peter Reichert |
| ECOSolveR | 0.5.5 | Embedded Conic Solver in R | Balasubramanian Narasimhan |
| ecospace | 1.4.2 | Simulating Community Assembly and Ecological Diversification
Using Ecospace Frameworks | Phil Novack-Gottshall |
| ecospat | 4.0.0 | Spatial Ecology Miscellaneous Methods | Olivier Broennimann |
| ecostats | 1.1.11 | Code and Data Accompanying the Eco-Stats Text (Warton 2022) | David Warton |
| ecostatscale | 1.1 | Statistical Scaling Functions for Ecological Systems | Adam Clark |
| EcotoneFinder | 0.2.3 | Characterising and Locating Ecotones and Communities | Antoine Bagnaro |
| ecotox | 1.4.4 | Analysis of Ecotoxicology | Benjamin L Hlina |
| ecotoxicology | 1.0.1 | Methods for Ecotoxicology | Jose Gama |
| ECOTOXr | 1.0.9 | Download and Extract Data from US EPA's ECOTOX Database | Pepijn de Vries |
| ecotraj | 0.1.1 | Ecological Trajectory Analysis | Miquel De Cáceres |
| EcoTroph | 1.6.1 | An Implementation of the EcoTroph Ecosystem Modelling Approach | Jerome Guitton |
| ecoval | 1.2.9 | Procedures for Ecological Assessment of Surface Waters | Nele Schuwirth |
| EcoVirtual | 1.1 | Simulation of Ecological Models | Alexandre Adalardo de Oliveira |
| ecp | 3.1.5 | Non-Parametric Multiple Change-Point Analysis of Multivariate
Data | Wenyu Zhang |
| ecpc | 3.1.1 | Flexible Co-Data Learning for High-Dimensional Prediction | Mirrelijn M. van Nee |
| ecr | 2.1.1 | Evolutionary Computation in R | Jakob Bossek |
| ectotemp | 0.2.0 | Quantitative Estimates of Small Ectotherm Temperature Regulation
Effectiveness | Wouter Beukema |
| ECTSVR | 0.1.0 | Cointegration Based Support Vector Regression Model | Pankaj Das |
| ECTTDNN | 0.1.0 | Cointegration Based Timedelay Neural Network Model | Pankaj Das |
| Ecume | 0.9.1 | Equality of 2 (or k) Continuous Univariate and Multivariate
Distributions | Hector Roux de Bezieux |
| eCV | 0.0.2 | Enhanced Coefficient of Variation and IDR Extensions for
Reproducibility Assessment | Agustin Gonzalez-Reymundez |
| ed50 | 0.1.1 | Estimate ED50 and Its Confidence Interval | Yongbo Gan |
| ed50simulation | 0.1.1 | Estimate ED50 and Its Confidence Interval | Fengru Wang |
| EDA | 1.3 | Energy Decomposition Analysis | Yongze Song |
| eda4treeR | 0.6.0 | Experimental Design and Analysis for Tree Improvement | Muhammad Yaseen |
| edbuildmapr | 0.3.1 | Download School District Geospatial Data, Perform Spatial
Analysis, and Create Formatted Exportable Maps | Megan Brodzik |
| EDCimport | 0.4.1 | Import Data from EDC Software | Dan Chaltiel |
| edcpR | 1.0.1 | Ecological Data Collection and Processing Package | Ward Fonteyn |
| eddington | 4.1.3 | Compute a Cyclist's Eddington Number | Paul Egeler |
| edeaR | 0.9.4 | Exploratory and Descriptive Event-Based Data Analysis | Gert Janssenswillen |
| edecob | 1.2.2 | Event Detection Using Confidence Bounds | Zheng Chen Man |
| edf | 1.0.0 | Read Data from European Data Format (EDF and EDF+) Files | Andreas Henelius |
| edfReader | 1.2.1 | Reading EDF(+) and BDF(+) Files | Jan Vis |
| EDFtest | 0.1.0 | Goodness of Fit Based on Empirical Distribution Function | Li Yao |
| edfun | 0.2.0 | Creating Empirical Distribution Functions | Tal Galili |
| edgar | 2.0.7 | Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate
Filings | Gunratan Lonare |
| edgarWebR | 1.1.0 | SEC Filings Access | Micah J Waldstein |
| edgebundle | 0.4.2 | Algorithms for Bundling Edges in Networks and Visualizing Flow
and Metro Maps | David Schoch |
| edgebundleR | 0.1.4 | Circle Plot with Bundled Edges | Garth Tarr |
| edgeCorr | 1.0 | Spatial Edge Correction | Glenna Nightingale |
| edgedata | 0.2.0 | Datasets that Support the EDGE Server DIY Logic | Ethan Brockmann |
| edibble | 1.1.0 | Encapsulating Elements of Experimental Design | Emi Tanaka |
| ediblecity | 0.2.1 | Modeling Urban Agriculture at City Scale | Josep Pueyo-Ros |
| edina | 0.1.1 | Bayesian Estimation of an Exploratory Deterministic Input, Noisy
and Gate Model | James Joseph Balamuta |
| EDISON | 1.1.1 | Network Reconstruction and Changepoint Detection | Frank Dondelinger |
| editbl | 1.0.3 | 'DT' Extension for CRUD (Create, Read, Update, Delete)
Applications in 'shiny' | Jasper Schelfhout |
| editData | 0.1.8 | 'RStudio' Addin for Editing a 'data.frame' | Keon-Woong Moon |
| eDITH | 0.3.0 | Model Transport of Environmental DNA in River Networks | Luca Carraro |
| editrules | 2.9.3 | Parsing, Applying, and Manipulating Data Cleaning Rules | Edwin de Jonge |
| EDIutils | 1.0.3 | An API Client for the Environmental Data Initiative Repository | Colin Smith |
| edl | 1.1 | Toolbox for Error-Driven Learning Simulations with Two-Layer
Networks | Jacolien van Rij |
| edlibR | 1.0.2 | R Integration for Edlib, the C/C++ Library for Exact Pairwise
Sequence Alignment using Edit (Levenshtein) Distance | Evan Biederstedt |
| eDMA | 1.5-3 | Dynamic Model Averaging with Grid Search | Leopoldo Catania |
| edmcr | 0.2.0 | Euclidean Distance Matrix Completion Tools | R. Wayne Oldford |
| edmdata | 1.2.0 | Data Sets for Psychometric Modeling | James Joseph Balamuta |
| EDMeasure | 1.2.0 | Energy-Based Dependence Measures | Ze Jin |
| EDNE.EQ | 1.0 | Implements the EDNE-Test for Equivalence | Thomas Hoffelder |
| EDOIF | 0.1.3 | Empirical Distribution Ordering Inference Framework (EDOIF) | Chainarong Amornbunchornvej |
| EDOtrans | 0.2.2 | Euclidean Distance-Optimized Data Transformation | Jorn Lotsch |
| edstan | 1.0.6 | Stan Models for Item Response Theory | Daniel C. Furr |
| EdSurvey | 4.0.4 | Analysis of NCES Education Survey and Assessment Data | Paul Bailey |
| educationdata | 0.1.3 | Retrieve Records from the Urban Institute's Education Data
Portal API | Erika Tyagi |
| educineq | 0.1.0 | Compute and Decompose Inequality in Education | Vanesa Jorda |
| edwards97 | 0.1.1 | Langmuir Semi-Empirical Coagulation Model | Dewey Dunnington |
| EEAaq | 0.0.3 | Handle Air Quality Data from the European Environment Agency
Data Portal | Agostino Tassan Mazzocco |
| eefAnalytics | 1.1.1 | Robust Analytical Methods for Evaluating Educational
Interventions using Randomised Controlled Trials Designs | Germaine Uwimpuhwe |
| eegkit | 1.0-4 | Toolkit for Electroencephalography Data | Nathaniel E. Helwig |
| eegkitdata | 1.1 | Electroencephalography Toolkit Datasets | Nathaniel E. Helwig |
| EEM | 1.1.1 | Read and Preprocess Fluorescence Excitation-Emission Matrix
(EEM) Data | Vipavee Trivittayasil |
| eemdARIMA | 0.1.0 | EEMD Based Auto Regressive Integrated Moving Average Model | Rajeev Ranjan Kumar |
| EEMDelm | 0.1.1 | Ensemble Empirical Mode Decomposition and Its Variant Based ELM
Model | Girish Kumar Jha |
| EEMDlstm | 0.1.0 | EEMD Based LSTM Model for Time Series Forecasting | Kapil Choudhary |
| EEMDSVR | 0.1.0 | Ensemble Empirical Mode Decomposition and Its Variant Based
Support Vector Regression Model | Pankaj Das |
| eemdTDNN | 0.1.0 | EEMD and Its Variant Based Time Delay Neural Network Model | Kapil Choudhary |
| eemR | 1.0.1 | Tools for Pre-Processing Emission-Excitation-Matrix (EEM)
Fluorescence Data | Philippe Massicotte |
| eeptools | 1.2.5 | Convenience Functions for Education Data | Jared E. Knowles |
| eesim | 0.1.0 | Simulate and Evaluate Time Series for Environmental Epidemiology | Brooke Anderson |
| EESPCA | 0.7.0 | Eigenvectors from Eigenvalues Sparse Principal Component
Analysis (EESPCA) | H. Robert Frost |
| ef | 1.2.0 | Modelling Framework for the Estimation of Salmonid Abundance | Colin Millar |
| EFA.dimensions | 0.1.8.1 | Exploratory Factor Analysis Functions for Assessing
Dimensionality | Brian P. O'Connor |
| EFA.MRFA | 1.1.2 | Dimensionality Assessment Using Minimum Rank Factor Analysis | David Navarro-Gonzalez |
| EFAtools | 0.4.4 | Fast and Flexible Implementations of Exploratory Factor Analysis
Tools | Markus Steiner |
| EFAutilities | 2.1.3 | Utility Functions for Exploratory Factor Analysis | Guangjian Zhang |
| efdm | 0.2.1 | Simulate Forest Resources with the European Forestry Dynamics
Model | Mikko Kuronen |
| EFDR | 1.3 | Wavelet-Based Enhanced FDR for Detecting Signals from Complete
or Incomplete Spatially Aggregated Data | Andrew Zammit-Mangion |
| eff2 | 1.0.2 | Efficient Least Squares for Total Causal Effects | Richard Guo |
| effClust | 0.8.0 | Calculate Effective Number of Clusters for a Linear Model | Joe Ritter |
| EffectLiteR | 0.4-6 | Average and Conditional Effects | Axel Mayer |
| effectR | 1.0.2 | Predicts Oomycete Effectors | Javier Tabima |
| effects | 4.2-2 | Effect Displays for Linear, Generalized Linear, and Other Models | John Fox |
| effectsize | 0.8.7 | Indices of Effect Size | Mattan S. Ben-Shachar |
| effectsizescr | 0.1.0 | Indices for Single-Case Research | Isabella Giammusso |
| EffectStars | 1.9-1 | Visualization of Categorical Response Models | Gunther Schauberger |
| EffectStars2 | 0.1-3 | Effect Stars | Gunther Schauberger |
| EffectTreat | 1.1 | Prediction of Therapeutic Success | Wim Van der Elst |
| EfficientMaxEigenpair | 0.1.4 | Efficient Initials for Computing the Maximal Eigenpair | Xiao-Jun Mao |
| efflog | 1.0 | The Causal Effects for a Causal Loglinear Model | Gloria Gheno |
| effsize | 0.8.1 | Efficient Effect Size Computation | Marco Torchiano |
| efreadr | 0.2.2 | Read European Eddy Fluxes CSV Files | Marco Bascietto |
| eFRED | 0.1.0 | Fetch Data from the Federal Reserve Economic Database | Chris Mann |
| EFS | 1.0.3 | Tool for Ensemble Feature Selection | Ursula Neumann |
| ega | 2.0.0 | Error Grid Analysis | Daniel Schmolze |
| EGAnet | 2.0.5 | Exploratory Graph Analysis – a Framework for Estimating the
Number of Dimensions in Multivariate Data using Network
Psychometrics | Hudson Golino |
| egcm | 1.0.13 | Engle-Granger Cointegration Models | Matthew Clegg |
| egg | 0.4.5 | Extensions for 'ggplot2': Custom Geom, Custom Themes, Plot
Alignment, Labelled Panels, Symmetric Scales, and Fixed Panel
Size | Baptiste Auguie |
| eggCounts | 2.4 | Hierarchical Modelling of Faecal Egg Counts | Craig Wang |
| eglhmm | 0.1-3 | Extended Generalised Linear Hidden Markov Models | Rolf Turner |
| EgoCor | 1.2.0 | Simple Presentation of Estimated Exponential Semi-Variograms | Julia Dyck |
| egor | 1.24.2 | Import and Analyse Ego-Centered Network Data | Till Krenz |
| EGRET | 3.0.9 | Exploration and Graphics for RivEr Trends | Laura DeCicco |
| EGRETci | 2.0.4 | Exploration and Graphics for RivEr Trends Confidence Intervals | Laura DeCicco |
| EGRNi | 0.1.6 | Ensemble Gene Regulatory Network Inference | Chiranjib Sarkar |
| eGST | 1.0.0 | Leveraging eQTLs to Identify Individual-Level Tissue of Interest
for a Complex Trait | Arunabha Majumdar |
| eha | 2.11.4 | Event History Analysis | Göran Broström |
| ehaGoF | 0.1.1 | Calculates Goodness of Fit Statistics | Alper Gulbe |
| eHDPrep | 1.3.3 | Quality Control and Semantic Enrichment of Datasets | Ian Overton |
| ehelp | 1.2.1 | Enhanced Help to Enable "Docstring"-Comments in Users Functions | Marcelo Ponce |
| eHOF | 1.15 | Extended HOF (Huisman-Olff-Fresco) Models | Florian Jansen |
| EHR | 0.4-11 | Electronic Health Record (EHR) Data Processing and Analysis Tool | Leena Choi |
| EHRtemporalVariability | 1.2.1 | Delineating Temporal Dataset Shifts in Electronic Health Records | Carlos Sáez |
| ei | 1.3-3 | Ecological Inference | James Honaker |
| ei.Datasets | 0.0.1-3 | Real Datasets for Assessing Ecological Inference Algorithms | Jose M. Pavía |
| eia | 0.4.1 | API Wrapper for 'US Energy Information Administration' Open Data | Matthew Hoff |
| EIAapi | 0.1.2 | Query Data from the 'EIA' API | Rami Krispin |
| eiCircles | 0.0.1-7 | Ecological Inference of RxC Tables by Overdispersed-Multinomial
Models | Jose M. Pavía |
| eicm | 1.0.3 | Explicit Interaction Community Models | Miguel Porto |
| eiExpand | 1.0.5 | Utilities for Expanding Functionality of 'eiCompare' | Rachel Carroll |
| eigenmodel | 1.11 | Semiparametric Factor and Regression Models for Symmetric
Relational Data | Peter Hoff |
| EigenR | 1.2.3 | Complex Matrix Algebra with 'Eigen' | Stéphane Laurent |
| eikosograms | 0.1.1 | The Picture of Probability | Wayne Oldford |
| eimpute | 0.2.3 | Efficiently Impute Large Scale Incomplete Matrix | Zhe Gao |
| einet | 0.1.0 | Effective Information and Causal Emergence | Travis Byrum |
| einsum | 0.1.2 | Einstein Summation | Constantin Ahlmann-Eltze |
| eiopaR | 0.1.1 | Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA | Mehdi Echchelh |
| eiPack | 0.2-2 | Ecological Inference and Higher-Dimension Data Management | Michael Kellermann |
| eirm | 0.5 | Explanatory Item Response Modeling for Dichotomous and
Polytomous Items | Okan Bulut |
| eive | 3.1.3 | An Algorithm for Reducing Errors-in-Variable Bias in Simple and
Multiple Linear Regressions | Mehmet Hakan Satman |
| eivtools | 0.1-8 | Measurement Error Modeling Tools | J.R. Lockwood |
| EIX | 1.2.0 | Explain Interactions in 'XGBoost' | Szymon Maksymiuk |
| eixport | 0.6.0 | Export Emissions to Atmospheric Models | Sergio Ibarra-Espinosa |
| EKMCMC | 1.1.2 | MCMC Procedures for Estimating Enzyme Kinetics Constants | Hyukpyo Hong |
| eks | 1.0.4 | Tidy and Geospatial Kernel Smoothing | Tarn Duong |
| EL | 1.2 | Two-Sample Empirical Likelihood | Janis Gredzens |
| EL2Surv | 1.1 | Empirical Likelihood (EL) for Comparing Two Survival Functions | Guo-You Lan |
| elaborator | 1.1 | A 'shiny' Application for Exploring Laboratory Data | Steffen Jeske |
| elasdics | 1.1.3 | Elastic Analysis of Sparse, Dense and Irregular Curves | Lisa Steyer |
| elasso | 1.1 | Enhanced Least Absolute Shrinkage and Selection Operator
Regression Model | Pi Guo |
| elastes | 0.1.7 | Elastic Full Procrustes Means for Sparse and Irregular Planar
Curves | Manuel Pfeuffer |
| elastic | 1.2.0 | General Purpose Interface to 'Elasticsearch' | Scott Chamberlain |
| elasticnet | 1.3 | Elastic-Net for Sparse Estimation and Sparse PCA | Hui Zou |
| ELCIC | 0.2.1 | The Empirical Likelihood-Based Consistent Information Criterion | Chixiang Chen |
| elec | 0.1.2.2 | Collection of Functions for Statistical Election Audits | Luke Mirarix |
| EleChemr | 1.2.0 | Electrochemical Reactions Simulation | Federico Maria Vivaldi |
| elect | 1.2 | Estimation of Life Expectancies Using Multi-State Models | Ardo van den Hout |
| elections | 1.0.1 | USA Presidential Elections Data | Willem M. van der Wal |
| elections.dtree | 2.0.0 | Ranked Voting Election Audits with Dirichlet-Trees | Floyd Everest |
| electionsBR | 0.4.0 | R Functions to Download and Clean Brazilian Electoral Data | Denisson Silva |
| electivity | 1.0.2 | Algorithms for Electivity Indices | Desi Quintans |
| electoral | 0.1.3 | Allocating Seats Methods and Party System Scores | Jorge Albuja |
| elevatr | 0.99.0 | Access Elevation Data from Various APIs | Jeffrey Hollister |
| elexr | 1.0 | Load Associated Press Election Results with Elex | Geoff Hing |
| elfDistr | 1.0.0 | Kumaraswamy Complementary Weibull Geometric (Kw-CWG) Probability
Distribution | Matheus H. J. Saldanha |
| elgbd | 0.9.0 | Empirical Likelihood for General Block Designs | Eunseop Kim |
| elhmc | 1.1.0 | Sampling from a Empirical Likelihood Bayesian Posterior of
Parameters Using Hamiltonian Monte Carlo | Sanjay Chaudhuri |
| ELISAtools | 0.1.5 | ELISA Data Analysis with Batch Correction | Feng Feng |
| elisr | 0.1.1 | Exploratory Likert Scaling | Steven Bißantz |
| eList | 0.2.0 | List Comprehension and Tools | Chris Mann |
| elitism | 1.1.1 | Equipment for Logarithmic and Linear Time Stepwise Multiple
Hypothesis Testing | Jiangtao Gou |
| Elja | 1.0.0 | Linear, Logistic and Generalized Linear Models Regressions for
the EnvWAS/EWAS Approach | Marwan El Homsi |
| elliplot | 1.3.0 | Ellipse Summary Plot of Quantiles | Shinichiro Tomizono |
| ellipse | 0.5.0 | Functions for Drawing Ellipses and Ellipse-Like Confidence
Regions | Duncan Murdoch |
| ellipsis | 0.3.2 | Tools for Working with ... | Hadley Wickham |
| ElliptCopulas | 0.1.3 | Inference of Elliptical Distributions and Copulas | Alexis Derumigny |
| elliptic | 1.4-0 | Weierstrass and Jacobi Elliptic Functions | Robin K. S. Hankin |
| ellipticalsymmetry | 0.1.2 | Elliptical Symmetry Tests | Marko Palangetic |
| elmNNRcpp | 1.0.4 | The Extreme Learning Machine Algorithm | Lampros Mouselimis |
| ELMR | 1.0 | Extreme Machine Learning (ELM) | Alessio Petrozziello |
| ELMSO | 1.0.1 | Implementation of the Efficient Large-Scale Online Display
Advertising Algorithm | Courtney Paulson |
| eLNNpairedCov | 0.3.2 | Model-Based Gene Selection for Paired Data | Yixin Zhang |
| elo | 3.0.2 | Ranking Teams by Elo Rating and Comparable Methods | Ethan Heinzen |
| EloChoice | 0.29.4 | Preference Rating for Visual Stimuli Based on Elo Ratings | Christof Neumann |
| EloRating | 0.46.11 | Animal Dominance Hierarchies by Elo Rating | Christof Neumann |
| EloSteepness | 0.5.0 | Bayesian Dominance Hierarchy Steepness via Elo Rating and
David's Scores | Christof Neumann |
| elrm | 1.2.5 | Exact Logistic Regression via MCMC | David Zamar |
| elsa | 1.1-28 | Entropy-Based Local Indicator of Spatial Association | Babak Naimi |
| ELT | 1.7 | Experience Life Tables | Wassim Youssef |
| eltr | 0.1.0 | Utilise Catastrophe Model Event Loss Table Outputs | Randhir Bilkhu |
| ELYP | 0.7-5 | Empirical Likelihood Analysis for the Cox Model and
Yang-Prentice (2005) Model | Mai Zhou |
| em | 1.0.0 | Generic EM Algorithm | Dongjie Wu |
| EM.Fuzzy | 1.0 | EM Algorithm for Maximum Likelihood Estimation by Non-Precise
Information | Abbas Parchami |
| emailjsr | 0.0.2 | 'emailjs' Support | Changwoo Lim |
| emailvalidation | 0.1.0 | Client for the 'emailalvalidation.io' E-Mail Validation API | Dominik Kukacka |
| EMAR | 1.0.0 | Empirical Model Assessment | Friday Nwabueze Ogana |
| EMAS | 0.2.2 | Epigenome-Wide Mediation Analysis Study | Xiuquan Nie |
| EMAtools | 0.1.4 | Data Management Tools for Real-Time Monitoring/Ecological
Momentary Assessment Data | Evan Kleiman |
| emayili | 0.7.18 | Send Email Messages | Andrew B. Collier |
| emBayes | 0.1.5 | Robust Bayesian Variable Selection via Expectation-Maximization | Yuwen Liu |
| EMbC | 2.0.4 | Expectation-Maximization Binary Clustering | Joan Garriga |
| embed | 1.1.4 | Extra Recipes for Encoding Predictors | Emil Hvitfeldt |
| EmbedSOM | 2.1.2 | Fast Embedding Guided by Self-Organizing Map | Mirek Kratochvil |
| embryogrowth | 9.1 | Tools to Analyze the Thermal Reaction Norm of Embryo Growth | Marc Girondot |
| EMCluster | 0.2-15 | EM Algorithm for Model-Based Clustering of Finite Mixture
Gaussian Distribution | Wei-Chen Chen |
| EMD | 1.5.9 | Empirical Mode Decomposition and Hilbert Spectral Analysis | Donghoh Kim |
| EMDANNhybrid | 0.2.0 | Empirical Mode Decomposition Based Artificial Neural Network
Model | Pankaj Das |
| emdbook | 1.3.13 | Support Functions and Data for "Ecological Models and Data" | Ben Bolker |
| emdi | 2.2.1 | Estimating and Mapping Disaggregated Indicators | Soeren Pannier |
| emdist | 0.3-3 | Earth Mover's Distance | Simon Urbanek |
| EMDSVRhybrid | 0.2.0 | Empirical Mode Decomposition Based Support Vector Regression
Model | Pankaj Das |
| emery | 0.5.1 | Accuracy Statistic Estimation for Imperfect Gold Standards | Corie Drake |
| emg | 1.0.9 | Exponentially Modified Gaussian (EMG) Distribution | Shawn Garbett |
| EMgaussian | 0.2.1 | Expectation-Maximization Algorithm for Multivariate Normal
(Gaussian) with Missing Data | Carl F. Falk |
| emhawkes | 0.9.7 | Exponential Multivariate Hawkes Model | Kyungsub Lee |
| EmiR | 1.0.4 | Evolutionary Minimizer for R | Lorenzo Sostero |
| EmissV | 0.665.6.6 | Tools for Create Emissions for Air Quality Models | Daniel Schuch |
| EmiStatR | 1.2.3.0 | Emissions and Statistics in R for Wastewater and Pollutants in
Combined Sewer Systems | J.A. Torres-Matallana |
| EML | 2.0.6.1 | Read and Write Ecological Metadata Language Files | Carl Boettiger |
| emld | 0.5.1 | Ecological Metadata as Linked Data | Carl Boettiger |
| EMLI | 0.2.0 | Computationally Efficient Maximum Likelihood Identification of
Linear Dynamical Systems | Vytautas Dulskis |
| EMMAgeo | 0.9.7 | End-Member Modelling of Grain-Size Data | Michael Dietze |
| emmeans | 1.10.1 | Estimated Marginal Means, aka Least-Squares Means | Russell V. Lenth |
| EMMIXgene | 0.1.4 | A Mixture Model-Based Approach to the Clustering of Microarray
Expression Data | Andrew Thomas Jones |
| EMMIXmfa | 2.0.14 | Mixture Models with Component-Wise Factor Analyzers | Suren Rathnayake |
| EMMIXSSL | 1.1.1 | Semi-Supervised Gaussian Mixture Model with a Missing-Data
Mechanism | Ziyang Lyu |
| EMMLi | 0.0.3 | A Maximum Likelihood Approach to the Analysis of Modularity | Tim Lucas |
| EMMREML | 3.1 | Fitting Mixed Models with Known Covariance Structures | Deniz Akdemir |
| emoa | 0.5-2 | Evolutionary Multiobjective Optimization Algorithms | Olaf Mersmann |
| emoji | 15.0 | Data and Function to Work with Emojis | Emil Hvitfeldt |
| emojifont | 0.5.5 | Emoji and Font Awesome in Graphics | Guangchuang Yu |
| emon | 1.3.2 | Tools for Environmental and Ecological Survey Design | Jon Barry |
| emov | 0.1.1 | Eye Movement Analysis Package for Fixation and Saccade Detection | Simon Schwab |
| EMP | 2.0.5 | Expected Maximum Profit Classification Performance Measure | Cristian Bravo |
| EMpeaksR | 0.3.1 | Conducting the Peak Fitting Based on the EM Algorithm | Tarojiro Matsumura |
| empichar | 1.0.1 | Evaluates the Empirical Characteristic Function for Multivariate
Samples | Guillermo Basulto-Elias |
| EmpiricalCalibration | 3.1.2 | Routines for Performing Empirical Calibration of Observational
Study Estimates | Martijn Schuemie |
| emplik | 1.3-1 | Empirical Likelihood Ratio for Censored/Truncated Data | Mai Zhou |
| emplik2 | 1.32 | Empirical Likelihood Ratio Test for Two Samples with Censored
Data | Mai Zhou |
| emplikAUC | 0.3 | Empirical Likelihood Ratio Test/Confidence Interval for AUC or
pAUC | Mai Zhou |
| ems | 1.3.11 | Epimed Solutions Collection for Data Editing, Analysis, and
Benchmark of Health Units | Lunna Borges |
| EMSaov | 2.3 | The Analysis of Variance with EMS | Eun-Kyung Lee |
| EMSC | 0.9.4 | Extended Multiplicative Signal Correction | Kristian Hovde Liland |
| EMSNM | 1.0 | EM Algorithm for Sigmoid Normal Model | Linsui Deng |
| EMSS | 1.1.1 | Some EM-Type Estimation Methods for the Heckman Selection Model | Sang Kyu Lee |
| emstreeR | 3.1.2 | Tools for Fast Computing and Visualizing Euclidean Minimum
Spanning Trees | Allan Quadros |
| EMT | 1.3.1 | Exact Multinomial Test: Goodness-of-Fit Test for Discrete
Multivariate Data | Uwe Menzel |
| emulator | 1.2-24 | Bayesian Emulation of Computer Programs | Robin K. S. Hankin |
| emuR | 2.5.0 | Main Package of the EMU Speech Database Management System | Markus Jochim |
| EncDNA | 1.0.2 | Encoding of Nucleotide Sequences into Numeric Feature Vectors | Prabina Kumar Meher |
| eNchange | 1.0 | Ensemble Methods for Multiple Change-Point Detection | Karolos K. Korkas |
| encode | 0.3.6 | Represent Ordered Lists and Pairs as Strings | Tim Bergsma |
| EncompassTest | 0.22 | Direct Multi-Step Forecast Based Comparison of Nested Models via
an Encompassing Test | Rong Peng |
| encryptedRmd | 0.2.1 | Encrypt Html Reports Using 'Libsodium' | Dirk Schumacher |
| encryptr | 0.1.3 | Easily Encrypt and Decrypt Data Frame/Tibble Columns or Files
using RSA Public/Private Keys | Ewen Harrison |
| endogeneity | 2.1.3 | Recursive Two-Stage Models to Address Endogeneity | Jing Peng |
| endogenous | 1.0 | Classical Simultaneous Equation Models | Andrew J. Spieker |
| endorse | 1.6.2 | Bayesian Measurement Models for Analyzing Endorsement
Experiments | Yuki Shiraito |
| endoSwitch | 1.0.0 | Endogenous Switching Regression Models | Bowen Chen |
| endtoend | 2.29 | Transmissions and Receptions in an End to End Network | Christian E. Galarza |
| energy | 1.7-11 | E-Statistics: Multivariate Inference via the Energy of Data | Maria Rizzo |
| EnergyOnlineCPM | 1.0 | Distribution Free Multivariate Control Chart Based on Energy
Test | Yafei Xu |
| energyr | 0.1.2 | Data Published by the United States Federal Energy Regulatory
Commission | Paul Govan |
| enerscape | 1.1.0 | Compute Energy Landscapes | Emilio Berti |
| enetLTS | 1.1.0 | Robust and Sparse Methods for High Dimensional Linear and Binary
and Multinomial Regression | Fatma Sevinc Kurnaz |
| english | 1.2-6 | Translate Integers into English | Bill Venables |
| EngrEcon | 1.0.0 | Engineering Economics Analysis for Engineering Projects Cost
Analysis | Liya Abera |
| engression | 0.1.4 | Engression Modelling | Nicolai Meinshausen |
| EngrExpt | 0.1-8 | Data sets from "Introductory Statistics for Engineering
Experimentation" | Douglas Bates |
| ENMeval | 2.0.4 | Automated Tuning and Evaluations of Ecological Niche Models | Jamie M. Kass |
| enmpa | 0.1.5 | Ecological Niche Modeling using Presence-Absence Data | Luis F. Arias-Giraldo |
| enmSdmX | 1.1.2 | Species Distribution Modeling and Ecological Niche Modeling | Adam B. Smith |
| ENMTools | 1.1.2 | Analysis of Niche Evolution using Niche and Distribution Models | Dan Warren |
| enpls | 6.1 | Ensemble Partial Least Squares Regression | Nan Xiao |
| EnrichIntersect | 0.7 | Enrichment Analysis and Intersecting Sankey Diagram | Zhi Zhao |
| enrichR | 3.2 | Provides an R Interface to 'Enrichr' | Wajid Jawaid |
| enrichwith | 0.3.1 | Methods to Enrich R Objects with Extra Components | Ioannis Kosmidis |
| EnsCat | 1.1 | Clustering of Categorical Data | Saeid Amiri |
| EnsembleBase | 1.0.2 | Extensible Package for Parallel, Batch Training of Base Learners
for Ensemble Modeling | Alireza S. Mahani |
| ensembleBMA | 5.1.8 | Probabilistic Forecasting using Ensembles and Bayesian Model
Averaging | Chris Fraley |
| EnsembleCV | 0.8 | Extensible Package for Cross-Validation-Based Integration of
Base Learners | Alireza S. Mahani |
| ensembleMOS | 0.8.2 | Ensemble Model Output Statistics | Sandor Baran |
| EnsemblePCReg | 1.1.4 | Extensible Package for Principal-Component-Regression-Based
Heterogeneous Ensemble Meta-Learning | Alireza S. Mahani |
| EnsemblePenReg | 0.7 | Extensible Classes and Methods for Penalized-Regression-Based
Integration of Base Learners | Alireza S. Mahani |
| ensemblepp | 1.0-0 | Ensemble Postprocessing Data Sets | Jakob Messner |
| ensembleR | 0.1.0 | Ensemble Models in R | Saurav Kaushik |
| ensembleTax | 1.1.1 | Ensemble Taxonomic Assignments of Amplicon Sequencing Data | Dylan Catlett |
| enshuman | 1.0.0 | Human Gene Annotation Data from 'Ensembl' | Thorhildur Juliusdottir |
| ensr | 0.1.0 | Elastic Net SearcheR | Peter DeWitt |
| ensurer | 1.1 | Ensure Values at Runtime | Stefan Milton Bache |
| entropart | 1.6-13 | Entropy Partitioning to Measure Diversity | Eric Marcon |
| EntropicStatistics | 0.1.0 | Functions Based on Entropic Statistics | Jialin Zhang (JZ) |
| entropy | 1.3.1 | Estimation of Entropy, Mutual Information and Related Quantities | Korbinian Strimmer |
| EntropyEstimation | 1.2 | Estimation of Entropy and Related Quantities | Michael Grabchak |
| EntropyMCMC | 1.0.4 | MCMC Simulation and Convergence Evaluation using Entropy and
Kullback-Leibler Divergence Estimation | Didier Chauveau |
| entrymodels | 0.2.1 | Estimate Entry Models | Guilherme Jardim |
| envalysis | 0.7.0 | Miscellaneous Functions for Environmental Analyses | Zacharias Steinmetz |
| EnvCpt | 1.1.3 | Detection of Structural Changes in Climate and Environment Time
Series | Rebecca Killick |
| envDocument | 2.4.1 | Document the R Working Environment | Donald Jackson |
| enveomics.R | 1.9.1 | Various Utilities for Microbial Genomics and Metagenomics | Luis M. Rodriguez-R |
| envi | 0.1.19 | Environmental Interpolation using Spatial Kernel Density
Estimation | Ian D. Buller |
| enviGCMS | 0.7.1 | GC/LC-MS Data Analysis for Environmental Science | Miao YU |
| enviPat | 2.6 | Isotope Pattern, Profile and Centroid Calculation for Mass
Spectrometry | Martin Loos |
| envir | 0.2.2 | Manage R Environments Better | Tomasz Kalinowski |
| envirem | 3.0 | Generation of ENVIREM Variables | Pascal Title |
| EnviroPRA2 | 1.0.1 | Environmental Probabilistic Risk Assessment Tools | Fernando Barrio-Parra |
| envnames | 0.4.1 | Keep Track of User-Defined Environment Names | Daniel Mastropietro |
| EnvNicheR | 1.5 | Niche Estimation | Castor Guisande Gonzalez |
| EnvNJ | 0.1.3 | Whole Genome Phylogenies Using Sequence Environments | Juan Carlos Aledo |
| envoutliers | 1.1.0 | Methods for Identification of Outliers in Environmental Data | Martina Campulova |
| envstat | 0.0.3 | Configurable Reporting on your External Compute Environment | Mark Sellors |
| EnvStats | 2.8.1 | Package for Environmental Statistics, Including US EPA Guidance | Alexander Kowarik |
| envvar | 0.1.1 | Make Working with Environment Variables Easier and More
Consistent | Brian Connelly |
| eoa3 | 1.0.0.1 | Wildlife Mortality Estimator for Low Fatality Rates and
Imperfect Detection | Daniel Dalthorp |
| eodhd | 1.0.4 | Official 'eodhd' API R Financial Library | EODHD Maintainer |
| eoffice | 0.2.2 | Export or Graph and Tables to 'Microsoft' Office and Import
Figures and Tables | Kai Guo |
| eoR | 0.4.0 | Data Management Package (Exposure and Occurrence Data in R) | Rainer Walke |
| epade | 0.5.1 | Easy Plots | Andreas Schulz |
| epandist | 1.1.1 | Statistical Functions for the Censored and Uncensored
Epanechnikov Distribution | Mathias Borritz Milfeldt |
| epanet2toolkit | 1.0.4 | Call 'EPANET' Functions to Simulate Pipe Networks | Bradley Eck |
| epanetReader | 0.7.3 | Read Epanet Files into R | Bradley Eck |
| epca | 1.1.0 | Exploratory Principal Component Analysis | Fan Chen |
| ePCR | 0.11.0 | Ensemble Penalized Cox Regression for Survival Prediction | Teemu Daniel Laajala |
| epe4md | 0.1.4 | EPE's 4MD Model to Forecast the Adoption of Distributed
Generation | Gabriel Konzen |
| eph | 1.0.0 | Argentina's Permanent Household Survey Data and Manipulation
Utilities | Carolina Pradier |
| Epi | 2.48 | Statistical Analysis in Epidemiology | Bendix Carstensen |
| epibasix | 1.5 | Elementary Epidemiological Functions for Epidemiology and
Biostatistics | Michael A Rotondi |
| epicasting | 0.1.0 | Ewnet: An Ensemble Wavelet Neural Network for Forecasting and
Epicasting | Tanujit Chakraborty |
| epiCleanr | 0.2.0 | A Tidy Solution for Epidemiological Data | Mohamed A. Yusuf |
| epicontacts | 1.1.3 | Handling, Visualisation and Analysis of Epidemiological Contacts | Finlay Campbell |
| EpiContactTrace | 0.17.0 | Epidemiological Tool for Contact Tracing | Stefan Widgren |
| EpiCurve | 2.4-2 | Plot an Epidemic Curve | Jean Pierre Decorps |
| epidata | 0.4.0 | Tools to Retrieve Economic Policy Institute Data Library
Extracts | Bob Rudis |
| epidatr | 1.1.1 | Client for Delphi's 'Epidata' API | David Weber |
| epiDisplay | 3.5.0.2 | Epidemiological Data Display Package | Virasakdi Chongsuvivatwong |
| epidm | 1.0.4 | UK Epidemiological Data Management | Alex Bhattacharya |
| EpiDynamics | 0.3.1 | Dynamic Models in Epidemiology | Oswaldo Santos Baquero |
| EpiEstim | 2.2-4 | Estimate Time Varying Reproduction Numbers from Epidemic Curves | Anne Cori |
| epifitter | 0.3.0 | Analysis and Simulation of Plant Disease Progress Curves | Kaique dos S. Alves |
| epiflows | 0.2.1 | Predicting Disease Spread from Flow Data | Pawel Piatkowski |
| EpiForsk | 0.1.1 | Code Sharing at the Department of Epidemiological Research at
Statens Serum Institut | Kim Daniel Jakobsen |
| epigraphdb | 0.2.3 | Interface Package for the 'EpiGraphDB' Platform | Yi Liu |
| EpiILM | 1.5.2 | Spatial and Network Based Individual Level Models for Epidemics | Waleed Almutiry |
| EpiILMCT | 1.1.7 | Continuous Time Distance-Based and Network-Based Individual
Level Models for Epidemics | Waleed Almutiry |
| EpiInvert | 0.3.1 | Variational Techniques in Epidemiology | Luis Alvarez |
| epikit | 0.1.6 | Miscellaneous Helper Tools for Epidemiologists | Zhian N. Kamvar |
| epilogi | 1.0 | The 'epilogi' Variable Selection Algorithm for Continuous Data | Michail Tsagris |
| EpiLPS | 1.3.0 | A Fast and Flexible Bayesian Tool for Estimating Epidemiological
Parameters | Oswaldo Gressani |
| epimdr | 0.6-5 | Functions and Data for "Epidemics: Models and Data in R" | Ottar N. Bjornstad |
| epimdr2 | 1.0-9 | Functions and Data for "Epidemics: Models and Data in R (2nd
Edition)" | Ottar N. Bjornstad |
| EpiModel | 2.4.0 | Mathematical Modeling of Infectious Disease Dynamics | Samuel Jenness |
| epinet | 2.1.11 | Epidemic/Network-Related Tools | Chris Groendyke |
| epinetr | 0.96 | Epistatic Network Modelling with Forward-Time Simulation | Dion Detterer |
| EpiNow2 | 1.4.0 | Estimate Real-Time Case Counts and Time-Varying Epidemiological
Parameters | Sam Abbott |
| epiomics | 1.1.0 | Analysis of Omics Data in Observational Studies | Jesse Goodrich |
| epiphy | 0.5.0 | Analysis of Plant Disease Epidemics | Christophe Gigot |
| epiR | 2.0.73 | Tools for the Analysis of Epidemiological Data | Mark Stevenson |
| EpiReport | 1.0.2 | Epidemiological Report | Lore Merdrignac |
| episcan | 0.0.1 | Scan Pairwise Epistasis | Beibei Jiang |
| EpiSemble | 0.1.1 | Ensemble Based Machine Learning Approach for Predicting
Methylation States | Dipro Sinha |
| episensr | 1.3.0 | Basic Sensitivity Analysis of Epidemiological Results | Denis Haine |
| EpiSignalDetection | 0.1.2 | Signal Detection Analysis | Lore Merdrignac |
| EpiStats | 1.6-2 | Tools for Epidemiologists | Lore Merdrignac |
| EpistemicGameTheory | 0.1.2 | Constructing an Epistemic Model for the Games with Two Players | Bilge Baser |
| epitab | 0.2.2 | Flexible Contingency Tables for Epidemiology | Stuart Lacy |
| EpiTest | 1.0.0 | Test for Gene x Gene Interactions in Bi-Parental Populations | Simon Rio |
| epitools | 0.5-10.1 | Epidemiology Tools | Adam Omidpanah |
| epitrix | 0.4.0 | Small Helpers and Tricks for Epidemics Analysis | Thibaut Jombart |
| epitweetr | 2.2.16 | Early Detection of Public Health Threats from 'Twitter' Data | Laura Espinosa |
| epiworldR | 0.1-0 | Fast Agent-Based Epi Models | Derek Meyer |
| EPLSIM | 0.1.0 | Partial Linear Single Index Models for Environmental Mixture
Analysis | Yuyan Wang |
| eplusr | 0.16.2 | A Toolkit for Using Whole Building Simulation Program
'EnergyPlus' | Hongyuan Jia |
| eply | 0.1.2 | Apply a Function Over Expressions | William Michael Landau |
| epm | 1.1.2 | EcoPhyloMapper | Pascal Title |
| epmrob | 0.1 | Robust Estimation of Probit Models with Endogeneity | Mikhail Zhelonkin |
| epo | 0.1.0 | Enhanced Portfolio Optimization (EPO) | Bernardo Reckziegel |
| epoc | 0.2.6-1.1 | Endogenous Perturbation Analysis of Cancer | Tobias Abenius |
| epocakir | 0.9.9 | Clinical Coding of Patients with Kidney Disease | Alwin Wang |
| eponge | 0.1.0 | Keep Your Environment Clean | Krzysztof Joachimiak |
| epos | 1.1 | Epilepsy Ontologies' Similarities | Bernd Mueller |
| epoxy | 1.0.0 | String Interpolation for Documents, Reports and Apps | Garrick Aden-Buie |
| epr | 3.0 | Easy Polynomial Regression | Emmanuel Arnhold |
| epsiwal | 0.1.0 | Exact Post Selection Inference with Applications to the Lasso | Steven E. Pav |
| EPT | 0.7.6 | Ensemble Patch Transform, Visualization and Decomposition | Donghoh Kim |
| epubr | 0.6.4 | Read EPUB File Metadata and Text | Matthew Leonawicz |
| epwshiftr | 0.1.4 | Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data | Hongyuan Jia |
| EPX | 1.0.4 | Ensemble of Phalanxes | Jabed Tomal |
| epxToR | 0.4-1 | Import 'Epidata' XML Files '.epx' | Jean Pierre Decorps |
| eq5d | 0.15.2 | Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index
Scores | Fraser Morton |
| EQL | 1.0-1 | Extended-Quasi-Likelihood-Function (EQL) | Thorn Thaler |
| equalCovs | 1.0 | Testing the Equality of Two Covariance Matrices | Jun Li |
| Equalden.HD | 1.2 | Testing the Equality of a High Dimensional Set of Densities | Marta Cousido Rocha |
| equaltestMI | 0.6.1 | Examine Measurement Invariance via Equivalence Testing and
Projection Method | Ge Jiang |
| equatags | 0.2.0 | Equations to 'XML' | David Gohel |
| equate | 2.0.8 | Observed-Score Linking and Equating | Anthony Albano |
| equateIRT | 2.4.0 | IRT Equating Methods | Michela Battauz |
| equateMultiple | 0.1.2 | Equating of Multiple Forms | Michela Battauz |
| equil2 | 1.0.0 | Calculate Urinary Saturation with the EQUIL2 Algorithm | Bill Denney |
| EquiSurv | 0.1.0 | Modeling, Confidence Intervals and Equivalence of Survival
Curves | Kathrin Moellenhoff |
| equivalence | 0.7.2 | Provides Tests and Graphics for Assessing Tests of Equivalence | Andrew Robinson |
| equivalenceTest | 0.0.1.1 | Equivalence Test for the Means of Two Normal Distributions | Chao Wang |
| EQUIVNONINF | 1.0.2 | Testing for Equivalence and Noninferiority | Stefan Wellek |
| equivUMP | 0.1.1 | Uniformly Most Powerful Invariant Tests of Equivalence | Thoralf Mildenberger |
| ER | 1.1.1 | Effect + Residual Modelling | Kristian Hovde Liland |
| era | 0.4.1 | Year-Based Time Scales | Joe Roe |
| erah | 2.0.1 | Automated Spectral Deconvolution, Alignment, and Metabolite
Identification in GC/MS-Based Untargeted Metabolomics | Xavier Domingo-Almenara |
| erboost | 1.4 | Nonparametric Multiple Expectile Regression via ER-Boost | Yi Yang |
| ercv | 1.0.1 | Fitting Tails by the Empirical Residual Coefficient of Variation | Isabel Serra |
| ERDbuilder | 1.0.0 | Entity Relationship Diagrams Builder | Guillermo Basulto-Elias |
| erer | 3.1 | Empirical Research in Economics with R | Changyou Sun |
| erfe | 0.0.1 | Fits Expectile Regression for Panel Fixed Effect Model | Amadou Barry |
| ergm | 4.6.0 | Fit, Simulate and Diagnose Exponential-Family Models for
Networks | Pavel N. Krivitsky |
| ergm.ego | 1.1.0 | Fit, Simulate and Diagnose Exponential-Family Random Graph
Models to Egocentrically Sampled Network Data | Pavel N. Krivitsky |
| ergm.multi | 0.2.1 | Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks | Pavel N. Krivitsky |
| ergMargins | 1.2 | Process Analysis for Exponential Random Graph Models | Scott Duxbury |
| ergmgp | 0.1-1 | Tools for Modeling ERGM Generating Processes | Carter T. Butts |
| ergmharris | 1.0 | Local Health Department network data set | Jenine K. Harris |
| ergmito | 0.3-1 | Exponential Random Graph Models for Small Networks | George Vega Yon |
| erify | 0.4.0 | Check Arguments and Generate Readable Error Messages | Renfei Mao |
| eRm | 1.0-6 | Extended Rasch Modeling | Patrick Mair |
| ern | 1.3.1 | Effective Reproduction Number Estimation | David Champredon |
| ERP | 2.2 | Significance Analysis of Event-Related Potentials Data | David Causeur |
| erp.easy | 1.1.0 | Event-Related Potential (ERP) Data Exploration Made Easy | Travis Moore |
| ERPeq | 0.1.0 | Probabilistic Hazard Assessment | Emrah Altun |
| err | 0.2.0 | Customizable Object Sensitive Messages | Joe Thorley |
| errint | 1.0 | Builds Error Intervals | Jesus Prada |
| errorist | 0.1.2 | Automatically Search Errors or Warnings | James Balamuta |
| errorlocate | 1.1.1 | Locate Errors with Validation Rules | Edwin de Jonge |
| errors | 0.4.1 | Uncertainty Propagation for R Vectors | Iñaki Ucar |
| errum | 0.0.3 | Exploratory Reduced Reparameterized Unified Model Estimation | James Joseph Balamuta |
| ERSA | 0.1.4 | Exploratory Regression 'Shiny' App | Catherine B. Hurley |
| eRTG3D | 0.7.0 | Empirically Informed Random Trajectory Generation in 3-D | Merlin Unterfinger |
| es.dif | 1.0.2 | Compute Effect Sizes of the Difference | Satoshi Aoki |
| esaBcv | 1.2.1.1 | Estimate Number of Latent Factors and Factor Matrix for Factor
Analysis | Jingshu Wang |
| esaddle | 0.0.7 | Extended Empirical Saddlepoint Density Approximations | Matteo Fasiolo |
| esaps | 0.2.2 | Indicators of Electoral Systems and Party Systems | Nicolas Schmidt |
| esback | 0.3.1 | Expected Shortfall Backtesting | Sebastian Bayer |
| esc | 0.5.1 | Effect Size Computation for Meta Analysis | Daniel Lüdecke |
| escalation | 0.1.8 | A Modular Approach to Dose-Finding Clinical Trials | Kristian Brock |
| esci | 1.0.2 | Estimation Statistics with Confidence Intervals | Robert Calin-Jageman |
| EScvtmle | 0.0.2 | Experiment-Selector CV-TMLE for Integration of Observational and
RCT Data | Lauren Eyler Dang |
| esDesign | 1.0.3 | Adaptive Enrichment Designs with Sample Size Re-Estimation | Zhao Yang |
| eSDM | 0.4.1 | Ensemble Tool for Predictions from Species Distribution Models | Sam Woodman |
| eseis | 0.7.3 | Environmental Seismology Toolbox | Michael Dietze |
| eselect | 1.1 | Adaptive Clinical Trial Designs with Endpoint Selection and
Sample Size Reassessment | Marta Bofill Roig |
| esem | 2.0.0 | Exploratory Structural Equation Modeling ESEM | Maria Prokofieva |
| esemifar | 1.0.2 | Smoothing Long-Memory Time Series | Sebastian Letmathe |
| ESG | 1.3 | A Package for Asset Projection | Wassim Youssef |
| eshrink | 0.1.2 | Shrinkage for Effect Estimation | Joshua Keller |
| eSIR | 0.4.2 | Extended State-Space SIR Models | Michael Kleinsasser |
| esmisc | 0.0.3 | Misc Functions of Eduard Szöcs | Eduard Szöcs |
| esmprep | 0.2.0 | Data Preparation During and After the Use of the Experience
Sampling Methodology (ESM) | Marcel Miché |
| esmtools | 1.0.1 | Preprocessing Experience Sampling Method (ESM) Data | Jordan Revol |
| espadon | 1.6.0 | Easy Study of Patient DICOM Data in Oncology | Cathy Fontbonne |
| esquisse | 1.2.0 | Explore and Visualize Your Data Interactively | Victor Perrier |
| esreg | 0.6.2 | Joint Quantile and Expected Shortfall Regression | Sebastian Bayer |
| ess | 1.1.2 | Efficient Stepwise Selection in Decomposable Models | Mads Lindskou |
| essentials | 0.1.0 | Essential Functions not Included in Base R | Andrew Simmons |
| essHist | 1.2.2 | The Essential Histogram | Housen Li |
| essurvey | 1.0.8 | Download Data from the European Social Survey on the Fly | Jorge Cimentada |
| estadistica | 0.2.3 | Fundamentos De Estadistica Descriptiva e Inferencial | Vicente Coll-Serrano |
| estatapi | 0.4.0 | R Interface to e-Stat API | Hiroaki Yutani |
| EstCRM | 1.6 | Calibrating Parameters for the Samejima's Continuous IRT Model | Cengiz Zopluoglu |
| ESTER | 0.2.0 | Efficient Sequential Testing with Evidence Ratios | Ladislas Nalborczyk |
| estimability | 1.5 | Tools for Assessing Estimability of Linear Predictions | Russell Lenth |
| EstimateGroupNetwork | 0.3.1 | Perform the Joint Graphical Lasso and Selects Tuning Parameters | Giulio Costantini |
| estimateW | 0.0.1 | Estimation of Spatial Weight Matrices | Tamas Krisztin |
| EstimationTools | 4.0.0 | Maximum Likelihood Estimation for Probability Functions from
Data Sets | Jaime Mosquera |
| estimators | 0.7.3 | Parameter Estimation | Ioannis Oikonomidis |
| estimatr | 1.0.4 | Fast Estimators for Design-Based Inference | Graeme Blair |
| EstimDiagnostics | 0.0.3 | Diagnostic Tools and Unit Tests for Statistical Estimators | Dmitry Otryakhin |
| estimraw | 1.0.0 | Estimation of Four-Fold Table Cell Frequencies (Raw Data) from
Effect Size Measures | Bernardo Sousa-Pinto |
| estmeansd | 1.0.1 | Estimating the Sample Mean and Standard Deviation from Commonly
Reported Quantiles in Meta-Analysis | Sean McGrath |
| EstMix | 1.0.1 | Tumor Clones Percentage Estimations | Xuan You |
| estprod | 1.2 | Estimation of Production Functions | Rodrigo R Remédio |
| esvis | 0.3.1 | Visualization and Estimation of Effect Sizes | Daniel Anderson |
| et.nwfva | 0.1.1 | Forest Yield Tables for Northwest Germany and their Application | Robert Nuske |
| etable | 1.3.1 | Easy Table | Andreas Schulz |
| ETAS | 0.6.1 | Modeling Earthquake Data Using 'ETAS' Model | Abdollah Jalilian |
| ETASbootstrap | 0.1.0 | Bootstrap Confidence Interval Estimation for 'ETAS' Model
Parameters | Renjie Peng |
| etasFLP | 2.2.2 | Mixed FLP and ML Estimation of ETAS Space-Time Point Processes
for Earthquake Description | Marcello Chiodi |
| ETC | 1.5 | Equivalence to Control | Mario Hasler |
| ethnobotanyR | 0.1.9 | Calculate Quantitative Ethnobotany Indices | Cory Whitney |
| EthSEQ | 3.0.2 | Ethnicity Annotation from Whole-Exome and Targeted Sequencing
Data | Alessandro Romanel |
| etl | 0.4.1 | Extract-Transform-Load Framework for Medium Data | Benjamin S. Baumer |
| ETLUtils | 1.5 | Utility Functions to Execute Standard Extract/Transform/Load
Operations (using Package 'ff') on Large Data | Jan Wijffels |
| etm | 1.1.1 | Empirical Transition Matrix | Mark Clements |
| etrader | 0.1.5 | 'ETRADE' API Interface for R | Anthony Balentine |
| etree | 0.1.0 | Classification and Regression with Structured and Mixed-Type
Data | Riccardo Giubilei |
| etrm | 1.0.1 | Energy Trading and Risk Management | Anders D. Sleire |
| etrunct | 0.1 | Computes Moments of Univariate Truncated t Distribution | Matthew Stephens |
| etwfe | 0.4.0 | Extended Two-Way Fixed Effects | Grant McDermott |
| EuclideanSD | 0.1.0 | An Euclidean View of Center and Spread | Siddhanta Phuyal |
| Euclimatch | 1.0.1 | Euclidean Climatch Algorithm | Justin A. G. Hubbard |
| eudract | 1.0.0 | Creates Safety Results Summary in XML to Upload to EudraCT, or
ClinicalTrials.gov | Simon Bond |
| eufmdis.adapt | 0.1.0 | Analyse 'EuFMDiS' Output Files via a Shiny App | Ian Kopacka |
| EUfootball | 0.0.1 | Football Match Data of European Leagues | Hendrik van der Wurp |
| eulerian | 1.0 | eulerian: A package to find eulerian paths from graphs | Ashis Saha |
| eulerr | 7.0.2 | Area-Proportional Euler and Venn Diagrams with Ellipses | Johan Larsson |
| eummd | 0.1.4 | Efficient Univariate Maximum Mean Discrepancy | Dean Bodenham |
| eunis.habitats | 0.1.0 | EUNIS Habitat Classification | Ramiro Magno |
| eurlex | 0.4.7 | Retrieve Data on European Union Law | Michal Ovadek |
| eurocordexr | 0.2.4 | Makes it Easier to Work with Daily 'netCDF' from EURO-CORDEX
RCMs | Michael Matiu |
| eurodata | 1.7.0 | Fast and Easy Eurostat Data Import and Search | Aleksander Rutkowski |
| euroleaguer | 0.2.0 | 'Euroleague basketball API' | Flavio Leccese |
| Euronext | 2.0.2 | Retrieve Historical Data of Companies Listed on the 'Euronext'
Stock Exchange | Sessie Koffi Frederic |
| europeanaR | 0.1.0 | Interact with Metadata Records and Media on the Europeana
Repository | Alexandros Kouretsis |
| europepmc | 0.4.3 | R Interface to the Europe PubMed Central RESTful Web Service | Najko Jahn |
| europop | 0.3.1 | Historical Populations of European Cities, 1500-1800 | Matthew Lincoln |
| EurosarcBayes | 1.1 | Bayesian Single Arm Sample Size Calculation Software | Peter Dutton |
| eurostat | 4.0.0 | Tools for Eurostat Open Data | Leo Lahti |
| eva | 0.2.6 | Extreme Value Analysis with Goodness-of-Fit Testing | Brian Bader |
| evabic | 0.1.1 | Evaluation of Binary Classifiers | Antoine Bichat |
| Evacluster | 0.1.0 | Evaluation Clustering Methods for Disease Subtypes Diagnosis | Fahimeh Nezhadmoghadam |
| evalITR | 1.0.0 | Evaluating Individualized Treatment Rules | Michael Lingzhi Li |
| evalR | 0.0.1 | Evaluation of Unverified Code | Trevor Olsen |
| evaluate | 0.23 | Parsing and Evaluation Tools that Provide More Details than the
Default | Yihui Xie |
| EvaluateCore | 0.1.3 | Quality Evaluation of Core Collections | J. Aravind |
| EvaluationMeasures | 1.1.0 | Collection of Model Evaluation Measure Functions | Babak Khorsand |
| EValue | 4.1.3 | Sensitivity Analyses for Unmeasured Confounding and Other Biases
in Observational Studies and Meta-Analyses | Maya B. Mathur |
| evapoRe | 1.0.0 | Evapotranspiration R Recipes | Akbar Rahmati Ziveh |
| Evapotranspiration | 1.16 | Modelling Actual, Potential and Reference Crop
Evapotranspiration | Danlu Guo |
| EVchargcost | 0.1.0 | Computes and Plot the Optimal Charging Strategy for Electric
Vehicles | Brais Gonzalez-Rodriguez |
| evclass | 2.0.2 | Evidential Distance-Based Classification | Thierry Denoeux |
| evclust | 2.0.3 | Evidential Clustering | Thierry Denoeux |
| EvCombR | 0.1-4 | Evidence Combination in R | Alexander Karlsson |
| evd | 2.3-6.1 | Functions for Extreme Value Distributions | Alec Stephenson |
| evdbayes | 1.1-3 | Bayesian Analysis in Extreme Value Theory | Alec Stephenson |
| event | 1.1.1 | Event History Procedures and Models | Bruce Swihart |
| eventdataR | 0.3.1 | Event Data Repository | Gert Janssenswillen |
| EventDetectGUI | 0.3.0 | Graphical User Interface for the 'EventDetectR' Package | Sowmya Chandrasekaran |
| EventDetectR | 0.3.5 | Event Detection Framework | Sowmya Chandrasekaran |
| eventglm | 1.2.2 | Regression Models for Event History Outcomes | Michael C Sachs |
| eventInterval | 1.3 | Sequential Event Interval Analysis | Jim Lemon |
| eventPred | 0.2.5 | Event Prediction | Kaifeng Lu |
| EventPredInCure | 1.0 | Event Prediction Including Cured Population | Bo Wei |
| eventstream | 0.1.1 | Streaming Events and their Early Classification | Sevvandi Kandanaarachchi |
| EventStudy | 0.39.2 | Event Study Analysis | Dr. Simon Mueller |
| eventstudyr | 1.1.3 | Estimation and Visualization of Linear Panel Event Studies | Santiago Hermo |
| eventTrack | 1.0.3 | Event Prediction for Time-to-Event Endpoints | Kaspar Rufibach |
| EventWinRatios | 1.0.0 | Event-Specific Win Ratios for Terminal and Non-Terminal Events | Daewoo Pak |
| evgam | 1.0.0 | Generalised Additive Extreme Value Models | Ben Youngman |
| EVI | 0.2.0-0 | Epidemic Volatility Index as an Early-Warning Tool | Konstantinos Pateras |
| evian | 2.1.0 | Evidential Analysis of Genetic Association Data | Jiafen Gong |
| evidence | 0.8.10 | Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods | Robert van Hulst |
| evidenceFactors | 1.8 | Reporting Tools for Sensitivity Analysis of Evidence Factors in
Observational Studies | Bikram Karmakar |
| EvidenceSynthesis | 0.5.0 | Synthesizing Causal Evidence in a Distributed Research Network | Martijn Schuemie |
| evident | 1.0.4 | Evidence Factors in Observational Studies | Paul R. Rosenbaum |
| EviewsR | 0.1.6 | A Seamless Integration of 'EViews' and R | Sagiru Mati |
| evilDice | 1.0 | Test Dice Sets for Intransitive Properties | Carl Witthoft |
| evinf | 0.8.8 | Inference with Extreme Value Inflated Count Data | David Randahl |
| evir | 1.7-4 | Extreme Values in R | Bernhard Pfaff |
| evmix | 2.12 | Extreme Value Mixture Modelling, Threshold Estimation and
Boundary Corrected Kernel Density Estimation | Carl Scarrott |
| evobiR | 1.1 | Comparative and Population Genetic Analyses | Heath Blackmon |
| evolMap | 1.2.33 | Dynamic and Interactive Maps | Modesto Escobar |
| evolqg | 0.3-4 | Evolutionary Quantitative Genetics | Diogo Melo |
| EvolutionaryGames | 0.1.2 | Important Concepts of Evolutionary Game Theory | Jochen Staudacher |
| evolvability | 2.0.0 | Calculation of Evolvability Parameters | Geir H. Bolstad |
| Evomorph | 0.9 | Evolutionary Morphometric Simulation | Juan Manuel Cabrera |
| evoper | 0.5.0 | Evolutionary Parameter Estimation for 'Repast Simphony' Models | Antonio Prestes Garcia |
| EvoPhylo | 0.3.2 | Pre- And Postprocessing of Morphological Data from Relaxed Clock
Bayesian Phylogenetics | Tiago Simoes |
| evoTS | 1.0.2 | Analyses of Evolutionary Time-Series | Kjetil Lysne Voje |
| evprof | 1.1.2 | Electric Vehicle Charging Sessions Profiling and Modelling | Marc Cañigueral |
| evreg | 1.0.3 | Evidential Regression | Thierry Denoeux |
| evsim | 1.4.0 | Electric Vehicle Charging Sessions Simulation | Marc Cañigueral |
| evt0 | 1.1-4 | Mean of Order P, Peaks over Random Threshold Hill and High
Quantile Estimates | Leo Belzile |
| evtclass | 1.0 | Extreme Value Theory for Open Set Classification - GPD and GEV
Classifiers | Edoardo Vignotto |
| evtree | 1.0-8 | Evolutionary Learning of Globally Optimal Trees | Thomas Grubinger |
| EWGoF | 2.2.2 | Goodness-of-Fit Tests for the Exponential and Two-Parameter
Weibull Distributions | Meryam Krit |
| ewoc | 0.3.0 | Escalation with Overdose Control | Marcio A. Diniz |
| EwR | 1.4 | Econometrics with R | Burak Guris |
| EWS | 0.2.0 | Early Warning System | Quentin Lajaunie |
| EWSmethods | 1.2.5 | Forecasting Tipping Points at the Community Level | Duncan O'Brien |
| Exact | 3.2 | Unconditional Exact Test | Peter Calhoun |
| exact.n | 1.1.1 | Exact Samples Sizes and Inference for Clinical Trials with
Binary Endpoint | Chris J. Lloyd |
| exact2x2 | 1.6.9 | Exact Tests and Confidence Intervals for 2x2 Tables | Michael P. Fay |
| exactamente | 0.1.1 | Explore the Exact Bootstrap Method | Mackson Ncube |
| exactci | 1.4-4 | Exact P-Values and Matching Confidence Intervals for Simple
Discrete Parametric Cases | Michael P. Fay |
| ExactCIdiff | 2.1 | Inductive Confidence Intervals for the Difference Between Two
Proportions | Guogen Shan |
| ExactCIone | 1.0.5 | Admissible Exact Intervals for One-Dimensional Discrete
Distributions | Chongxiu Yu |
| exactextractr | 0.10.0 | Fast Extraction from Raster Datasets using Polygons | Daniel Baston |
| exactLTRE | 0.1.0 | An Exact Method for Life Table Response Experiment (LTRE)
Analysis | Christina Hernandez |
| ExactMed | 0.3.0 | Exact Mediation Analysis for Binary Outcomes | Miguel Caubet |
| ExactMultinom | 0.1.2 | Multinomial Goodness-of-Fit Tests | Johannes Resin |
| exactRankTests | 0.8-35 | Exact Distributions for Rank and Permutation Tests | Torsten Hothorn |
| ExamPAData | 0.5.0 | Data Sets for Predictive Analytics Exam | Guanglai Li |
| exampletestr | 1.7.1 | Help for Writing Unit Tests Based on Function Examples | Rory Nolan |
| exams | 2.4-0 | Automatic Generation of Exams in R | Achim Zeileis |
| exams.mylearn | 1.4 | Question Generation in the 'MyLearn' XML Format | Darjus Hosszejni |
| exams2learnr | 0.1-0 | Interface for 'exams' Exercises in 'learnr' Tutorials | Achim Zeileis |
| exams2sakai | 0.3 | Automatic Generation of Exams in R for 'Sakai' | Jesús María Méndez Pérez |
| ExceedanceTools | 1.3.6 | Confidence/Credible Regions for Exceedance Sets and Contour
Lines | Joshua French |
| exceedProb | 0.0.1 | Confidence Intervals for Exceedance Probability | Brian D. Segal |
| excel.link | 0.9.12 | Convenient Data Exchange with Microsoft Excel | Gregory Demin |
| excel2eprime | 0.4.0 | Split Sentences by Factors | Jack Will |
| exceldata | 0.1.1.3 | Streamline Data Import, Cleaning and Recoding from 'Excel' | Lisa Avery |
| ExcelFunctionsR | 0.1.4 | Imports Excel Functions to R | Nika Salia <2001salia at gmail.com> |
| excelR | 0.4.0 | A Wrapper of the 'JavaScript' Library 'jExcel' | Swechhya Bista |
| ExcessMass | 1.0.1 | Excess Mass Calculation and Plots | Marc-Daniel Mildenberger |
| excessmort | 0.7.0 | Excess Mortality | Rafael A. Irizarry |
| excluder | 0.5.1 | Checks for Exclusion Criteria in Online Data | Jeffrey R. Stevens |
| ExclusionTable | 1.1.0 | Creating Tables of Excluded Observations | Joshua P. Entrop |
| exCon | 0.2.5 | Interactive Exploration of Contour Data | Bryan A. Hanson |
| excursions | 2.5.8 | Excursion Sets and Contour Credibility Regions for Random Fields | David Bolin |
| exdex | 1.2.3 | Estimation of the Extremal Index | Paul J. Northrop |
| exdqlm | 0.1.3 | Extended Dynamic Quantile Linear Models | Raquel Barata |
| executablePackeR | 0.0.2 | Make 'shiny' App to Executable Program | Changwoo Lim |
| ExGaussEstim | 0.1.2 | Quantile Maximization Likelihood Estimation and Bayesian
Ex-Gaussian Estimation | Jean DUMONCEL |
| ExhaustiveSearch | 1.0.1 | A Fast and Scalable Exhaustive Feature Selection Framework | Rudolf Jagdhuber |
| exif | 0.1.0 | Read EXIF Metadata from JPEGs | Oliver Keyes |
| exifr | 0.3.2 | EXIF Image Data in R | Dewey Dunnington |
| exiftoolr | 0.2.4 | ExifTool Functionality from R | Joshua O'Brien |
| ExNRuleEnsemble | 0.1.1 | A k Nearest Neibour Ensemble Based on Extended Neighbourhood
Rule | Amjad Ali |
| ExpAnalysis3d | 0.1.2 | Pacote Para Analise De Experimentos Com Graficos De Superficie
Resposta | Alcinei Mistico Azevedo |
| ExPanDaR | 0.5.3 | Explore Your Data Interactively | Joachim Gassen |
| expandFunctions | 0.1.0 | Feature Matrix Builder | Scott Miller |
| EXPARMA | 0.1.0 | Fitting of Exponential Autoregressive Moving Average (EXPARMA)
Model | Bishal Gurung |
| expDB | 0.1.0 | Database for Experiment Dataset | Bangyou Zheng |
| ExpDE | 0.1.4 | Modular Differential Evolution for Experimenting with Operators | Felipe Campelo |
| ExpDes | 1.2.2 | Experimental Designs Package | Eric Batista Ferreira |
| ExpDes.pt | 1.2.2 | Pacote Experimental Designs (Portugues) | Eric Batista Ferreira |
| expectreg | 0.53 | Expectile and Quantile Regression | Fabian Otto-Sobotka |
| experDesign | 0.3.0 | Design Experiments for Batches | Lluís Revilla Sancho |
| experiences | 0.1.1 | Experience Research | Joe Chelladurai |
| experiment | 1.2.1 | R Package for Designing and Analyzing Randomized Experiments | Kosuke Imai |
| experimentr | 0.1.0 | Datasets Used in Social Science Experiments: A Hands-on
Introduction | Kerem Tuncer |
| ExpertChoice | 0.2.0 | Design of Discrete Choice and Conjoint Analysis | Jed Stephens |
| expertsurv | 1.3.0 | Incorporate Expert Opinion with Parametric Survival Models | Philip Cooney |
| ExpGenetic | 0.1.0 | Non-Additive Expression Analysis of Hybrid Offspring | Yuqing Wu |
| expint | 0.1-8 | Exponential Integral and Incomplete Gamma Function | Vincent Goulet |
| expirest | 0.1.6 | Expiry Estimation Procedures | Pius Dahinden |
| explainer | 1.0.0 | Machine Learning Model Explainer | Ramtin Zargari Marandi |
| ExplainPrediction | 1.3.0 | Explanation of Predictions for Classification and Regression
Models | Marko Robnik-Sikonja |
| ExplodeLayout | 0.1.2 | Calculate Exploded Coordinates Based on Original Node
Coordinates and Node Clustering Membership | Weibin Zhang |
| explor | 0.3.10 | Interactive Interfaces for Results Exploration | Julien Barnier |
| exploratory | 0.3.31 | A Tool for Large-Scale Exploratory Analyses | Jin Kim |
| explore | 1.2.0 | Simplifies Exploratory Data Analysis | Roland Krasser |
| exploreR | 0.1 | Tools for Quickly Exploring Data | Michael Coates |
| expm | 0.999-9 | Matrix Exponential, Log, 'etc' | Martin Maechler |
| export | 0.3.0 | Streamlined Export of Graphs and Data Tables | Tom Wenseleers |
| ExPosition | 2.8.23 | Exploratory Analysis with the Singular Value Decomposition | Derek Beaton |
| ExposR | 1.1 | Models Topographic Exposure to Hurricane Winds | Emery Boose |
| expowo | 2.0 | Data Mining of Plant Diversity and Distribution | Debora Zuanny |
| expperm | 1.6 | Computing Expectations and Marginal Likelihoods for Permutations | Ben Powell |
| ExpRep | 1.0 | Experiment Repetitions | Larisa Zamora-Matamoros |
| expSBM | 1.3.5 | An Exponential Stochastic Block Model for Interaction Lengths | Riccardo Rastelli |
| expsmooth | 2.3 | Data Sets from "Forecasting with Exponential Smoothing" | Rob J Hyndman |
| expss | 0.11.6 | Tables, Labels and Some Useful Functions from Spreadsheets and
'SPSS' Statistics | Gregory Demin |
| expstudy | 2.0.0 | Tools for Actuarial Experience Studies | Cody Buehler |
| exreport | 0.4.1 | Fast, Reliable and Elegant Reproducible Research | Jacinto Arias |
| EXRQ | 1.0 | Extreme Regression of Quantiles | Huixia Judy Wang |
| extBatchMarking | 1.0.1 | Extended Batch Marking Models | Kehinde Olobatuyi |
| ExtDist | 0.7-2 | Extending the Range of Functions for Probability Distributions | Oleksii Nikolaienko |
| extendedFamily | 0.2.4 | Additional Families for Generalized Linear Models | Greg McMahan |
| exteriorMatch | 1.0.0 | Constructs the Exterior Match from Two Matched Control Groups | Paul R. Rosenbaum |
| extlasso | 0.3 | Maximum Penalized Likelihood Estimation with Extended Lasso
Penalty | B N Mandal |
| ExtMallows | 0.1.0 | An Extended Mallows Model and Its Hierarchical Version for
Ranked Data Aggregation | Han Li |
| ExtractTrainData | 9.1.6 | Extract Values from Raster | Subhadip Datta |
| extraDistr | 1.10.0 | Additional Univariate and Multivariate Distributions | Tymoteusz Wolodzko |
| extrafont | 0.19 | Tools for Using Fonts | Winston Chang |
| extrafontdb | 1.0 | Package for holding the database for the extrafont package | Winston Chang |
| extrafrail | 1.9 | Estimation and Additional Tools for Alternative Shared Frailty
Models | Diego Gallardo |
| extraoperators | 0.3.0 | Extra Binary Relational and Logical Operators | Joshua F. Wiley |
| extras | 0.6.1 | Helper Functions for Bayesian Analyses | Joe Thorley |
| extraterrestrial | 0.1.0 | Astrobiology Equations Estimating Extraterrestrial Life | Chester C. Deocaris |
| extRatum | 1.0.4 | Summary Statistics for Geospatial Features | Nikos Patias |
| extRC | 1.2 | Extended RC Models for Contingency Tables | Francesco Bartolucci |
| ExtremalDep | 0.0.4-1 | Extremal Dependence Models | Simone Padoan |
| ExtremeBounds | 0.1.7 | Extreme Bounds Analysis (EBA) | Marek Hlavac |
| extremefit | 1.0.2 | Estimation of Extreme Conditional Quantiles and Probabilities | Kevin Jaunatre |
| extremeIndex | 0.0.3 | Forecast Verification for Extreme Events | Maxime Taillardat |
| ExtremeRisks | 0.0.4 | Extreme Risk Measures | Simone Padoan |
| extRemes | 2.1-4 | Extreme Value Analysis | Eric Gilleland |
| extremeStat | 1.5.9 | Extreme Value Statistics and Quantile Estimation | Berry Boessenkool |
| extremevalues | 2.3.4 | Univariate Outlier Detection | Mark van der Loo |
| extremis | 1.2.1 | Statistics of Extremes | Miguel de Carvalho |
| extremogram | 1.0.2 | Estimation of Extreme Value Dependence for Time Series Data | Nadezda Frolova |
| ExtrPatt | 0.1-4 | Spatial Dependencies and Indices for Extremes | Svenja Szemkus |
| exuber | 1.0.2 | Econometric Analysis of Explosive Time Series | Kostas Vasilopoulos |
| exvatools | 0.8.0 | Value Added in Exports and Other Input-Output Table Analysis
Tools | Enrique Feas |
| eye | 1.2.1 | Analysis of Eye Data | Tjebo Heeren |
| eyedata | 0.1.0 | Open Source Ophthalmic Data Sets Curated for R | Tjebo Heeren |
| eyelinker | 0.2.1 | Import ASC Files from EyeLink Eye Trackers | Austin Hurst |
| eyelinkReader | 1.0.1 | Import Gaze Data for EyeLink Eye Tracker | Alexander Pastukhov |
| eyeRead | 0.0.4 | Prepare/Analyse Eye Tracking Data for Reading | San Verhavert |
| eyetrackingR | 0.2.1 | Eye-Tracking Data Analysis | Samuel Forbes |
| eyeTrackR | 1.0.1 | Organising and Analysing Eye-Tracking Data | Hayward Godwin |
| ez | 4.4-0 | Easy Analysis and Visualization of Factorial Experiments | Michael A. Lawrence |
| ez.combat | 1.0.0 | Easy ComBat Harmonization | Timothy Koscik |
| ezcox | 1.0.4 | Easily Process a Batch of Cox Models | Shixiang Wang |
| ezCutoffs | 1.0.1 | Fit Measure Cutoffs in SEM | Bjarne Schmalbach |
| ezec | 1.0.1 | Easy Interface to Effective Concentration Calculations | Zhian N. Kamvar |
| ezEDA | 0.1.1 | Task Oriented Interface for Exploratory Data Analysis | Viswa Viswanathan |
| EzGP | 0.1.0 | Easy-to-Interpret Gaussian Process Models for Computer
Experiments | Jiayi Li |
| ezknitr | 0.6.3 | Avoid the Typical Working Directory Pain When Using 'knitr' | Dean Attali |
| ezmmek | 0.2.4 | Easy Michaelis-Menten Enzyme Kinetics | Christopher Cook |
| ezplot | 0.7.13 | Functions for Common Chart Types | Wojtek Kostelecki |
| ezr | 0.1.5 | Easy Use of R via Shiny App for Basic Analyses of Experimental
Data | Jin Kim |
| EZtune | 3.1.1 | Tunes AdaBoost, Elastic Net, Support Vector Machines, and
Gradient Boosting Machines | Jill Lundell |
| f1dataR | 1.5.1 | Access Formula 1 Data | Santiago Casanova |
| FaaSr | 1.1.2 | FaaS (Function as a Service) Package | Figueiredo Renato |
| fabCI | 0.2 | FAB Confidence Intervals | Peter Hoff |
| FABInference | 0.1 | FAB p-Values and Confidence Intervals | Peter Hoff |
| fabisearch | 0.0.4.5 | Change Point Detection in High-Dimensional Time Series Networks | Martin Ondrus |
| fable | 0.3.4 | Forecasting Models for Tidy Time Series | Mitchell O'Hara-Wild |
| fable.ata | 0.0.6 | 'ATAforecasting' Modelling Interface for 'fable' Framework | Ali Sabri Taylan |
| fable.prophet | 0.1.0 | Prophet Modelling Interface for 'fable' | Mitchell O'Hara-Wild |
| fableCount | 0.1.0 | INGARCH and GLARMA Models for Count Time Series in Fable
Framework | Gustavo Almeida |
| fabletools | 0.4.1 | Core Tools for Packages in the 'fable' Framework | Mitchell O'Hara-Wild |
| fabMix | 5.1 | Overfitting Bayesian Mixtures of Factor Analyzers with
Parsimonious Covariance and Unknown Number of Components | Panagiotis Papastamoulis |
| fabPrediction | 1.0.4 | Compute FAB (Frequentist and Bayes) Conformal Prediction
Intervals | Elizabeth Bersson |
| fabR | 2.0.1 | Wrapper Functions Collection Used in Data Pipelines | Guillaume Fabre |
| fabricatr | 1.0.2 | Imagine Your Data Before You Collect It | Graeme Blair |
| fabricerin | 0.1.2 | Create Easily Canvas in 'shiny' and 'RMarkdown' Documents | Mohamed El Fodil Ihaddaden |
| face | 0.1-7 | Fast Covariance Estimation for Sparse Functional Data | Cai Li |
| facebookadsR | 0.1.0 | Access to Facebook Ads via the 'Windsor.ai' API | Pablo Sanchez |
| facebookleadsR | 0.1.0 | Get Facebook Leads Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| facebookorganicR | 0.1.0 | Get Data from 'Facebook Organic' via the 'Windsor.ai' API | Pablo Sanchez |
| facerec | 0.1.0 | An Interface for Face Recognition | Carsten Schwemmer |
| facmodCS | 1.0 | Cross-Section Factor Models | Mido Shammaa |
| facmodTS | 1.0 | Time Series Factor Models for Asset Returns | Doug Martin |
| FACT | 0.1.1 | Feature Attributions for ClusTering | Henri Funk |
| factiv | 0.1.0 | Instrumental Variables Estimation for 2^k Factorial Experiments | Matthew Blackwell |
| FACTMLE | 1.1 | Maximum Likelihood Factor Analysis | Koulik Khamaru |
| FactoClass | 1.2.9 | Combination of Factorial Methods and Cluster Analysis | Campo Elias Pardo |
| factoextra | 1.0.7 | Extract and Visualize the Results of Multivariate Data Analyses | Alboukadel Kassambara |
| FactoInvestigate | 1.9 | Automatic Description of Factorial Analysis | Francois Husson |
| FactoMineR | 2.10 | Multivariate Exploratory Data Analysis and Data Mining | Francois Husson |
| factoptd | 1.0.3 | Factorial Optimal Designs for Two-Colour cDNA Microarray
Experiments | Dibaba Bayisa Gemechu |
| factor.switching | 1.4 | Post-Processing MCMC Outputs of Bayesian Factor Analytic Models | Panagiotis Papastamoulis |
| factor256 | 0.1.0 | Use Raw Vectors to Minimize Memory Consumption of Factors | Hugh Parsonage |
| FactorAssumptions | 2.0.1 | Set of Assumptions for Factor and Principal Component Analysis | Jose Storopoli |
| FactorCopula | 0.9.3 | Factor, Bi-Factor, Second-Order and Factor Tree Copula Models | Aristidis K. Nikoloulopoulos |
| factorial2x2 | 0.2.0 | Design and Analysis of a 2x2 Factorial Trial | Eric Leifer |
| factormodel | 1.0 | Factor Model Estimation Using Proxy Variables | Yujung Hwang |
| factorstochvol | 1.1.0 | Bayesian Estimation of (Sparse) Latent Factor Stochastic
Volatility Models | Gregor Kastner |
| factory | 0.1.0 | Build Function Factories | Jon Harmon |
| Factoshiny | 2.5 | Perform Factorial Analysis from 'FactoMineR' with a Shiny
Application | Francois Husson |
| factReg | 1.0.0 | Multi-Environment Genomic Prediction with Penalized Factorial
Regression | Bart-Jan van Rossum |
| factset.analyticsapi.engines | 3.0.1 | 'FactSet' Engines API Client | Akshay Sheth |
| factset.protobuf.stach.v2 | 1.0.6 | 'FactSet' 'STACH V2' Library | Charlie Mathis |
| factset.protobuf.stachextensions | 1.0.4 | 'FactSet' 'STACH' Extensions Package | Veda Bhaskara Ramanth |
| fad | 0.9-1 | Factor Analysis for Data | Somak Dutta |
| FADA | 1.3.5 | Variable Selection for Supervised Classification in High
Dimension | David Causeur |
| FAdist | 2.4 | Distributions that are Sometimes Used in Hydrology | Thomas Petzoldt |
| FADPclust | 1.1.1 | Functional Data Clustering Using Adaptive Density Peak Detection | Rui Ren |
| faersquarterlydata | 1.1.0 | FDA Adverse Event Reporting System Quarterly Data Extracting
Tool | Luis Garcez |
| Fahrmeir | 2016.5.31 | Data from the Book "Multivariate Statistical Modelling Based on
Generalized Linear Models", First Edition, by Ludwig Fahrmeir
and Gerhard Tutz | Kjetil B Halvorsen |
| fail | 1.3 | File Abstraction Interface Layer (FAIL) | Michel Lang |
| fairadapt | 0.2.7 | Fair Data Adaptation with Quantile Preservation | Drago Plecko |
| FAIRmaterials | 0.4.1 | Make Materials Data FAIR | Roger French |
| FairMclus | 2.2.1 | Clustering for Data with Sensitive Attribute | Carlos Santos-Mangudo |
| fairml | 0.8 | Fair Models in Machine Learning | Marco Scutari |
| fairmodels | 1.2.1 | Flexible Tool for Bias Detection, Visualization, and Mitigation | Jakub Wiśniewski |
| fairness | 1.2.2 | Algorithmic Fairness Metrics | Nikita Kozodoi |
| fairsubset | 1.0 | Choose Representative Subsets | Joe Delaney |
| fake | 1.4.0 | Flexible Data Simulation Using the Multivariate Normal
Distribution | Barbara Bodinier |
| fakemake | 1.11.1 | Mock the Unix Make Utility | Andreas Dominik Cullmann |
| fakir | 1.0.0 | Generate Fake Datasets for Prototyping and Teaching | Colin Fay |
| fakmct | 0.1.0 | Fuzzy Adaptive Resonance Theory K-Means Clustering Technique | Alfi Nurrahmah <221810140 at stis.ac.id> |
| falcon | 0.2 | Finding Allele-Specific Copy Number in Next-Generation
Sequencing Data | Hao Chen |
| falconx | 0.2 | Finding Allele-Specific Copy Number in Whole-Exome Sequencing
Data | Hao Chen |
| fam.recrisk | 0.1 | Familial Recurrence Risk | Jason Sinnwell |
| FAMetA | 0.1.6 | Fatty Acid Metabolic Analysis | Maribel Alcoriza-Balaguer |
| FamEvent | 3.1 | Family Age-at-Onset Data Simulation and Penetrance Estimation | Yun-Hee Choi |
| familial | 1.0.5 | Statistical Tests of Familial Hypotheses | Ryan Thompson |
| familiar | 1.4.6 | End-to-End Automated Machine Learning and Model Evaluation | Alex Zwanenburg |
| Familias | 2.6.1 | Probabilities for Pedigrees Given DNA Data | Thore Egeland |
| Families | 2.0.1 | Kinship Ties in (Virtual) Multi-Generation Populations | Frans Willekens |
| FamilyRank | 1.0 | Algorithm for Ranking Predictors Using Graphical Domain
Knowledge | Michelle Saul |
| FAmle | 1.3.7 | Maximum Likelihood and Bayesian Estimation of Univariate
Probability Distributions | Thomas Petzoldt |
| FAMoS | 0.3.0 | A Flexible Algorithm for Model Selection | Michael Gabel |
| famSKATRC | 1.1.0 | Family Sequence Kernel Association Test for Rare and Common
Variants | Khalid B. Kunji |
| FAMT | 2.6 | Factor Analysis for Multiple Testing (FAMT) : Simultaneous Tests
under Dependence in High-Dimensional Data | David Causeur |
| fanc | 2.3.11 | Penalized Likelihood Factor Analysis via Nonconvex Penalty | Kei Hirose |
| fANCOVA | 0.6-1 | Nonparametric Analysis of Covariance | Xiaofeng Wang |
| fancycut | 0.1.2 | A Fancy Version of 'base::cut' | Adam Rich |
| fangs | 0.2.13 | Feature Allocation Neighborhood Greedy Search Algorithm | David B. Dahl |
| fanovaGraph | 1.5 | Building Kriging Models from FANOVA Graphs | Sonja Kuhnt |
| fanplot | 4.0.0 | Visualisation of Sequential Probability Distributions Using Fan
Charts | Guy J. Abel |
| fansi | 1.0.6 | ANSI Control Sequence Aware String Functions | Brodie Gaslam |
| fanyi | 0.0.6 | Translate Words or Sentences via Online Translators | Guangchuang Yu |
| FAO56 | 1.0 | Evapotranspiration Based on FAO Penman-Monteith Equation | Ali Ahani |
| FAOSTAT | 2.3.0 | Download Data from the FAOSTAT Database | Paul Rougieux |
| faoutlier | 0.7.6 | Influential Case Detection Methods for Factor Analysis and
Structural Equation Models | Phil Chalmers |
| faq | 0.1.1 | Create FAQ Page | Jiena McLellan |
| far | 0.6-6 | Modelization for Functional AutoRegressive Processes | Damon Julien |
| faraway | 1.0.8 | Functions and Datasets for Books by Julian Faraway | Julian Faraway |
| FARDEEP | 1.0.1 | Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte
from Expression Profiles using Least Trimmed Squares | Yuying Xie |
| farff | 1.1.1 | A Faster 'ARFF' File Reader and Writer | Marc Becker |
| FarmSelect | 1.0.2 | Factor Adjusted Robust Model Selection | Koushiki Bose |
| FarmTest | 2.2.0 | Factor-Adjusted Robust Multiple Testing | Xiaoou Pan |
| farr | 0.3.0 | Data and Code for Financial Accounting Research | Ian Gow |
| farrell | 0.2.1 | Interactive Interface to Data Envelopment Analysis Modeling | Mohamed El Fodil Ihaddaden |
| farver | 2.1.1 | High Performance Colour Space Manipulation | Thomas Lin Pedersen |
| FAS | 1.0.0 | Factor-Augmented Sparse Regression Tuning-Free Testing | Jonas Striaukas |
| fasano.franceschini.test | 2.2.2 | Fasano-Franceschini Test: A Multivariate Kolmogorov-Smirnov
Two-Sample Test | Connor Puritz |
| fase | 1.0.1 | Functional Adjacency Spectral Embedding | Peter W. MacDonald |
| FASeg | 0.1.9 | Joint Segmentation of Correlated Time Series | Emilie Lebarbier |
| fasjem | 1.1.2 | A Fast and Scalable Joint Estimator for Learning Multiple
Related Sparse Gaussian Graphical Models | Beilun Wang |
| fAssets | 4023.85 | Rmetrics - Analysing and Modelling Financial Assets | Stefan Theussl |
| fasstr | 0.5.2 | Analyze, Summarize, and Visualize Daily Streamflow Data | Jon Goetz |
| FAST.R | 0.2.1 | Analyze and Visualize FAST-Generated Data | Francesco Neri |
| fasta | 0.1.0 | Fast Adaptive Shrinkage/Thresholding Algorithm | Eric C. Chi |
| fastadi | 0.1.1 | Self-Tuning Data Adaptive Matrix Imputation | Alex Hayes |
| fastAFT | 1.4 | Fast Regression for the Accelerated Failure Time (AFT) Model | Yijian Huang |
| fastai | 2.2.1 | Interface to 'fastai' | Turgut Abdullayev |
| FastBandChol | 0.1.1 | Fast Estimation of a Covariance Matrix by Banding the Cholesky
Factor | Aaron Molstad |
| fastbeta | 0.2.0 | Fast Estimation of Time-Varying Infectious Disease Transmission
Rates | Mikael Jagan |
| fastcluster | 1.2.6 | Fast Hierarchical Clustering Routines for R and 'Python' | Daniel Müllner |
| fastcmh | 0.2.7 | Significant Interval Discovery with Categorical Covariates | Dean Bodenham |
| fastcox | 1.1.3 | Lasso and Elastic-Net Penalized Cox's Regression in High
Dimensions Models using the Cocktail Algorithm | Yi Yang |
| fastcpd | 0.13.1 | Fast Change Point Detection via Sequential Gradient Descent | Xingchi Li |
| FastCUB | 0.0.3 | Fast Estimation of CUB Models via Louis' Identity | Rosaria Simone |
| fastdigest | 0.6-4 | Fast, Low Memory Footprint Digests of R Objects | Gabriel Becker |
| fastDummies | 1.7.3 | Fast Creation of Dummy (Binary) Columns and Rows from
Categorical Variables | Jacob Kaplan |
| fasterElasticNet | 1.1.2 | An Amazing Fast Way to Fit Elastic Net | Linyu Zuo |
| fasterize | 1.0.5 | Fast Polygon to Raster Conversion | Michael Sumner |
| fastFMM | 0.2.0 | Fast Functional Mixed Models using Fast Univariate Inference | Erjia Cui |
| FastGaSP | 0.5.2 | Fast and Exact Computation of Gaussian Stochastic Process | Mengyang Gu |
| fastGHQuad | 1.0.1 | Fast 'Rcpp' Implementation of Gauss-Hermite Quadrature | Alexander W Blocker |
| fastGLCM | 1.0.2 | 'GLCM' Texture Features | Lampros Mouselimis |
| fastglm | 0.0.3 | Fast and Stable Fitting of Generalized Linear Models using
'RcppEigen' | Jared Huling |
| fastglmpca | 0.1-103 | Fast Algorithms for Generalized Principal Component Analysis | Eric Weine |
| FastGP | 1.2 | Efficiently Using Gaussian Processes with Rcpp and RcppEigen | Giri Gopalan |
| fastGraph | 2.1 | Fast Drawing and Shading of Graphs of Statistical Distributions | Steven T. Garren |
| fastICA | 1.2-4 | FastICA Algorithms to Perform ICA and Projection Pursuit | Brian Ripley |
| FastImputation | 2.2.1 | Learn from Training Data then Quickly Fill in Missing Data | Stephen R. Haptonstahl |
| FastJM | 1.4.2 | Semi-Parametric Joint Modeling of Longitudinal and Survival Data | Shanpeng Li |
| fastJT | 1.0.6 | Efficient Jonckheere-Terpstra Test Statistics | Alexander Sibley |
| FastKM | 1.1 | A Fast Multiple-Kernel Method Based on a Low-Rank Approximation | Shannon T. Holloway |
| fastkmedoids | 1.2 | Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA,
FastCLARANS | Xun Li |
| FastKNN | 0.0.1 | Fast k-Nearest Neighbors | Gaston Besanson |
| fastLaplace | 0.0.2 | A Fast Laplace Method for Spatial Generalized Linear Mixed Model | Sangwan Lee |
| fastLink | 0.6.1 | Fast Probabilistic Record Linkage with Missing Data | Ted Enamorado |
| fastliu | 1.0 | Fast Functions for Liu Regression with Regularization Parameter
and Statistics | Murat Genç |
| fastLogisticRegressionWrap | 1.2.0 | Fast Logistic Regression Wrapper | Adam Kapelner |
| fastlogitME | 0.1.0 | Basic Marginal Effects for Logit Models | Mathieu Steijn |
| fastM | 0.0-4 | Fast Computation of Multivariate M-Estimators | Klaus Nordhausen |
| fastmap | 1.1.1 | Fast Data Structures | Winston Chang |
| fastmatch | 1.1-4 | Fast 'match()' Function | Simon Urbanek |
| fastMatMR | 1.2.5 | High-Performance Matrix Market File Operations | Rohit Goswami |
| fastmatrix | 0.5-772 | Fast Computation of some Matrices Useful in Statistics | Felipe Osorio |
| fastmit | 0.1.1 | Fast Mutual Information Based Independence Test | Shiyun Lin |
| fastNaiveBayes | 2.2.1 | Extremely Fast Implementation of a Naive Bayes Classifier | Martin Skogholt |
| fastnet | 1.0.0 | Large-Scale Social Network Analysis | Nazrul Shaikh |
| fastOnlineCpt | 1.0 | Online Multivariate Changepoint Detection | Georg Hahn |
| FastPCS | 0.1.4 | FastPCS Robust Fit of Multivariate Location and Scatter | Kaveh Vakili |
| fastpos | 0.5.1 | Finds the Critical Sequential Point of Stability for a Pearson
Correlation | Johannes Titz |
| fastqcr | 0.1.3 | Quality Control of Sequencing Data | Alboukadel Kassambara |
| fastqq | 0.1.3 | Faster Generation of Quantile Quantile Plots with Large Samples | Gudmundur Einarsson |
| fastR2 | 1.2.4 | Foundations and Applications of Statistics Using R (2nd Edition) | Randall Pruim |
| FastRCS | 0.0.9 | Fits the FastRCS Robust Multivariable Linear Regression Model | Kaveh Vakili |
| fastrep | 0.7 | Time-Saving Package for Creating Reports | Alisson Rosa |
| fastRG | 0.3.2 | Sample Generalized Random Dot Product Graphs in Linear Time | Alex Hayes |
| fastRhockey | 0.4.0 | Functions to Access Premier Hockey Federation and National
Hockey League Play by Play Data | Saiem Gilani |
| fastrmodels | 1.0.2 | Models for the 'nflfastR' Package | Sebastian Carl |
| FastRWeb | 1.2-1 | Fast Interactive Framework for Web Scripting Using R | Simon Urbanek |
| FastSF | 0.1.1 | Fast Structural Filtering | Canhong Wen |
| fastshap | 0.1.1 | Fast Approximate Shapley Values | Brandon Greenwell |
| fastSOM | 1.0.1 | Fast Calculation of Spillover Measures | Stefan Kloessner |
| FastStepGraph | 0.1.1 | A Fast Algorithm for Sparse Precision Matrix Estimation | Juan G. Colonna |
| fastText | 1.0.4 | Efficient Learning of Word Representations and Sentence
Classification | Lampros Mouselimis |
| fastTextR | 2.1.0 | An Interface to the 'fastText' Library | Emil Hvitfeldt |
| fasttime | 1.1-0 | Fast Utility Function for Time Parsing and Conversion | Simon Urbanek |
| fastTopics | 0.6-163 | Fast Algorithms for Fitting Topic Models and Non-Negative Matrix
Factorizations to Count Data | Peter Carbonetto |
| fastTS | 1.0.1 | Fast Time Series Modeling for Seasonal Series with Exogenous
Variables | Ryan Andrew Peterson |
| fastverse | 0.3.2 | A Suite of High-Performance Packages for Statistics and Data
Manipulation | Sebastian Krantz |
| fastWavelets | 1.0.1 | Compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À
Trous Discrete Wavelet Transform | John You |
| fat2Lpoly | 1.2.5 | Two-Locus Family-Based Association Test with Polytomous Outcome | Alexandre BUREAU |
| FateID | 0.2.2 | Quantification of Fate Bias in Multipotent Progenitors | Dominic Grün |
| FatTailsR | 1.8-5 | Kiener Distributions and Fat Tails in Finance | Patrice Kiener |
| FaultTree | 1.0.1 | Fault Trees for Risk and Reliability Analysis | Jacob Ormerod |
| faux | 1.2.1 | Simulation for Factorial Designs | Lisa DeBruine |
| fauxnaif | 0.7.1 | Convert Values to NA | Alexander Rossell Hayes |
| fauxpas | 0.5.2 | HTTP Error Helpers | Scott Chamberlain |
| FAVAR | 0.1.3 | Bayesian Analysis of a FAVAR Model | Pu Chen |
| faviconPlease | 0.1.3 | Find the URL to the 'Favicon' for a Website | John Blischak |
| favnums | 1.0.0 | A Dataset of Favourite Numbers | Oliver Keyes |
| FAwR | 1.1.2 | Functions and Datasets for "Forest Analytics with R" | Andrew Robinson |
| fbar | 0.6.0 | An Extensible Approach to Flux Balance Analysis | Max Conway |
| fBasics | 4032.96 | Rmetrics - Markets and Basic Statistics | Georgi N. Boshnakov |
| fbati | 1.0-9 | Gene by Environment Interaction and Conditional Gene Tests for
Nuclear Families | Thomas Hoffmann |
| FBCRM | 1.1 | Phase I Optimal Dose Assignment using the FBCRM and MFBCRM
Methods | Andrew G Chapple |
| FBFsearch | 1.2 | Algorithm for Searching the Space of Gaussian Directed Acyclic
Graph Models Through Moment Fractional Bayes Factors | Davide Altomare |
| FBMS | 1.0 | Flexible Bayesian Model Selection and Model Averaging | Jon Lachmann |
| FBN | 1.5.2 | FISH Based Normalization and Copy Number Inference of SNP
Microarray Data | Luca Agnelli |
| fbnet | 1.0.3 | Forensic Bayesian Networks | Franco Marsico |
| fBonds | 3042.78 | Rmetrics - Pricing and Evaluating Bonds | Tobias Setz |
| fbRads | 17.0.0 | Analyzing and Managing Facebook Ads from R | Gergely Daroczi |
| fbroc | 0.4.1 | Fast Algorithms to Bootstrap Receiver Operating Characteristics
Curves | Erik Peter |
| fbst | 2.2 | The Full Bayesian Evidence Test, Full Bayesian Significance Test
and the e-Value | Riko Kelter |
| fc | 0.1.0 | Standard Evaluation-Based Multivariate Function Composition | Xiaofei (Susan) Wang |
| fca | 0.1.0 | Floating Catchment Area (FCA) Methods to Calculate Spatial
Accessibility | Etienne Grueebler |
| fcaR | 1.2.2 | Formal Concept Analysis | Domingo Lopez Rodriguez |
| fcci | 1.0.1 | Feldman-Cousins Confidence Intervals | Valerio Gherardi |
| fcfdr | 1.0.0 | Flexible cFDR | Anna Hutchinson |
| fcirt | 0.1.0 | Forced Choice in Item Response Theory | Naidan Tu |
| fcl | 0.1.0 | A Financial Calculator | Xianying Tan |
| fclust | 2.1.1.1 | Fuzzy Clustering | Paolo Giordani |
| fcm | 0.1.3 | Inference of Fuzzy Cognitive Maps (FCMs) | Zoumpoulia Dikopoulou |
| FCMapper | 1.1 | Fuzzy Cognitive Mapping | Shaun Turney |
| FCO | 0.8.0 | Flexible Cutoffs for Model Fit Evaluation in Covariance-Based
Structural Models | Thomas Niemand |
| fCopulae | 4022.85 | Rmetrics - Bivariate Dependence Structures with Copulae | Paul Smith |
| fcp | 0.1.0 | Function Composition | Xiaoran Tong |
| FCPS | 1.3.4 | Fundamental Clustering Problems Suite | Michael Thrun |
| fcr | 1.0 | Functional Concurrent Regression for Sparse Data | Andrew Leroux |
| fcros | 1.6.1 | A Method to Search for Differentially Expressed Genes and to
Detect Recurrent Chromosomal Copy Number Aberrations | Doulaye Dembele |
| FCSlib | 1.3.0 | A Collection of Fluorescence Fluctuation Spectroscopy Analysis
Methods | Raúl Pinto Cámara |
| fctbases | 1.1.1 | Functional Bases | Niels Olsen |
| fcuk | 0.1.21 | The Ultimate Helper for Clumsy Fingers | Vincent Guyader |
| FCVAR | 0.1.4 | Estimation and Inference for the Fractionally Cointegrated VAR | Lealand Morin |
| FD | 1.0-12.3 | Measuring Functional Diversity (FD) from Multiple Traits, and
Other Tools for Functional Ecology | Etienne Laliberté |
| fda | 6.1.8 | Functional Data Analysis | James Ramsay |
| fda.usc | 2.1.0 | Functional Data Analysis and Utilities for Statistical Computing | Manuel Oviedo de la Fuente |
| fdaACF | 1.0.0 | Autocorrelation Function for Functional Time Series | Guillermo Mestre Marcos |
| fdacluster | 0.3.0 | Joint Clustering and Alignment of Functional Data | Aymeric Stamm |
| fdaconcur | 0.1.2 | Concurrent Regression and History Index Models for Functional
Data | Su I Iao |
| fdadensity | 0.1.2 | Functional Data Analysis for Density Functions by Transformation
to a Hilbert Space | Alexander Petersen |
| fdaMixed | 0.6.1 | Functional Data Analysis in a Mixed Model Framework | Bo Markussen |
| fdaMocca | 0.1-1 | Model-Based Clustering for Functional Data with Covariates | Natalya Pya Arnqvist |
| fdANOVA | 0.1.2 | Analysis of Variance for Univariate and Multivariate Functional
Data | Lukasz Smaga |
| fdaoutlier | 0.2.1 | Outlier Detection Tools for Functional Data Analysis | Oluwasegun Taiwo Ojo |
| fdapace | 0.5.9 | Functional Data Analysis and Empirical Dynamics | Yidong Zhou |
| fdapaceShiny | 1.0.5 | A Shiny App for the 'fdapace' Package | Camden Possinger |
| fdaPDE | 1.1-17 | Physics-Informed Spatial and Functional Data Analysis | Eleonora Arnone |
| fdaPOIFD | 1.0.3 | Partially Observed Integrated Functional Depth | Antonio Elías |
| fdarep | 0.1.1 | Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for
Repeated Functional Data | Poorbita Kundu |
| fdaSP | 1.1.1 | Sparse Functional Data Analysis Methods | Mauro Bernardi |
| fdasrvf | 2.2.0 | Elastic Functional Data Analysis | J. Derek Tucker |
| fdatest | 2.1.1 | Interval Testing Procedure for Functional Data | Alessia Pini |
| FDboost | 1.1-2 | Boosting Functional Regression Models | David Ruegamer |
| fddm | 0.5-2 | Fast Implementation of the Diffusion Decision Model | Henrik Singmann |
| fdicdata | 0.1.0 | Accessing FDIC Bank Data | Ugur Dar |
| fdm2id | 0.9.9 | Data Mining and R Programming for Beginners | Alexandre Blansché |
| fDMA | 2.2.7 | Dynamic Model Averaging and Dynamic Model Selection for
Continuous Outcomes | Krzysztof Drachal |
| fdq | 0.12 | Forest Data Quality | Caíque de Oliveira de Souza |
| fdrci | 2.4 | Permutation-Based FDR Point and Confidence Interval Estimation | Joshua Millstein |
| fdrDiscreteNull | 1.4 | False Discovery Rate Procedures Under Discrete and Heterogeneous
Null Distributions | Xiongzhi Chen |
| FDRestimation | 1.0.1 | Estimate, Plot, and Summarize False Discovery Rates | Megan Murray |
| FDRsamplesize2 | 0.2.0 | Computing Power and Sample Size for the False Discovery Rate in
Multiple Applications | Yonghui Ni |
| FDRsampsize | 1.0 | Compute Sample Size that Meets Requirements for Average Power
and FDR | Stan Pounds |
| fdrtool | 1.2.17 | Estimation of (Local) False Discovery Rates and Higher Criticism | Korbinian Strimmer |
| fds | 1.8 | Functional Data Sets | Han Lin Shang |
| fdth | 1.3-0 | Frequency Distribution Tables, Histograms and Polygons | J. C. Faria |
| fdWasserstein | 1.0 | Application of Optimal Transport to Functional Data Analysis | Valentina Masarotto |
| FDX | 1.0.6 | False Discovery Exceedance Controlling Multiple Testing
Procedures | Florian Junge |
| FEA | 0.0.2 | Finite Element Modeling for R | Henna D. Bhramdat |
| FeaLect | 1.20 | Scores Features for Feature Selection | Habil Zare |
| feasts | 0.3.2 | Feature Extraction and Statistics for Time Series | Mitchell O'Hara-Wild |
| feather | 0.3.5 | R Bindings to the Feather 'API' | Hadley Wickham |
| feature | 1.2.15 | Local Inferential Feature Significance for Multivariate Kernel
Density Estimation | Tarn Duong |
| featureCorMatrix | 0.4.0 | Measurement Level Independent Feature Correlation Matrix | Guido Moeser |
| featurefinder | 1.1 | Feature Finder | Richard Davis |
| featureflag | 0.1.0 | Turn Features On and Off using Feature Flags | Ryszard Szymański |
| FeatureHashing | 0.9.2 | Creates a Model Matrix via Feature Hashing with a Formula
Interface | Wush Wu |
| FeatureImpCluster | 0.1.5 | Feature Importance for Partitional Clustering | Oliver Pfaffel |
| features | 2015.12-1 | Feature Extraction for Discretely-Sampled Functional Data | Ravi Varadhan |
| FeatureTerminatoR | 1.0.0 | Feature Selection Engine to Remove Features with Minimal
Predictive Power | Gary Hutson |
| featurizer | 0.2 | Some Helper Functions that Help Create Features from Data | Chhavi Choudhury |
| fec16 | 0.1.4 | Data Package for the 2016 United States Federal Elections | Marium Tapal |
| fechner | 1.0-3 | Fechnerian Scaling of Discrete Object Sets | Ali Uenlue |
| fect | 1.0.0 | Fixed Effects Counterfactuals | Ziyi Liu |
| FedData | 4.0.1 | Functions to Automate Downloading Geospatial Data Available from
Several Federated Data Sources | R. Kyle Bocinsky |
| federalregister | 0.2.0 | Client Package for the U.S. Federal Register API | Thomas J. Leeper |
| fedmatch | 2.0.5 | Fast, Flexible, and User-Friendly Record Linkage Methods | Chris Webster |
| fedregs | 1.0.0 | Text Analysis of the US Code of Federal Regulations | Scott Large |
| fedstatAPIr | 1.0.3 | Unofficial API for Fedstat (Rosstat EMISS System) for Automatic
and Efficient Data Queries | Denis Krylov |
| fedz1 | 0.1.0 | An Easier Access to Financial Accounts of the United States(Z.1) | Hamid Shafiezadeh |
| FeedbackTS | 1.5 | Analysis of Feedback in Time Series | Samuel Soubeyrand |
| feisr | 1.3.0 | Estimating Fixed Effects Individual Slope Models | Tobias Ruettenauer |
| felp | 0.4.0 | Functional Help for Functions, Objects, and Packages | Atsushi Yasumoto |
| feltr | 0.0.4 | Access the Felt API | Christopher T. Kenny |
| fence | 1.0 | Using Fence Methods for Model Selection | Thuan Nguyen |
| FENmlm | 2.4.4 | Fixed Effects Nonlinear Maximum Likelihood Models | Laurent Berge |
| FEprovideR | 1.1 | Fixed Effects Logistic Model with High-Dimensional Parameters | Michael Kleinsasser |
| FER | 0.94 | Financial Engineering in R | Jaehyuk Choi |
| fergm | 1.1.4 | Estimation and Fit Assessment of Frailty Exponential Random
Graph Models | Benjamin W. Campbell |
| fermicatsR | 1.4 | Fermi Large Area Telescope Catalogs | Pablo Saz Parkinson |
| ferrn | 0.0.2 | Facilitate Exploration of touRR optimisatioN | H. Sherry Zhang |
| FertBoot | 0.5.0 | Fertilizer Response Curve Analysis by Bootstrapping Residuals | Ting Fung (Ralph) Ma |
| fertilmodel | 1.1 | Fertility Models | Michail Tsagris |
| FertNet | 0.1.2 | Process Data from the Social Networks and Fertility Survey | Gert Stulp |
| FESta | 1.0.0 | Fishing Effort Standardisation | Eldho Varghese |
| fetch | 0.1.5 | Fetch Data from Various Data Sources | David Bosak |
| fetchGoogleAnalyticsR | 0.1.0 | Get Data from Google Analytics via the 'Windsor.ai' API | Pablo Sanchez |
| fetchSalesforceR | 0.1.0 | Get Data from Salesforce via the 'Windsor.ai' API | Pablo Sanchez |
| fExtremes | 4032.84 | Rmetrics - Modelling Extreme Events in Finance | Paul J. Northrop |
| ff | 4.0.12 | Memory-Efficient Storage of Large Data on Disk and Fast Access
Functions | Jens Oehlschlägel |
| FFD | 1.0-9 | Freedom from Disease | Ian Kopacka |
| FFdownload | 1.1.1 | Download Data from Kenneth French's Website | Sebastian Stoeckl |
| fflr | 2.2.4 | Retrieve ESPN Fantasy Football Data | Kiernan Nicholls |
| ffmanova | 1.1.2 | Fifty-Fifty MANOVA | Øyvind Langsrud |
| ffp | 0.2.2 | Fully Flexible Probabilities for Stress Testing and Portfolio
Construction | Bernardo Reckziegel |
| ffscrapr | 1.4.8 | API Client for Fantasy Football League Platforms | Tan Ho |
| ffstream | 0.1.7.2 | Forgetting Factor Methods for Change Detection in Streaming Data | Dean Bodenham |
| FFTrees | 2.0.0 | Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees | Hansjoerg Neth |
| fftw | 1.0-8 | Fast FFT and DCT Based on the FFTW Library | Uwe Ligges |
| fftwtools | 0.9-11 | Wrapper for 'FFTW3' Includes: One-Dimensional, Two-Dimensional,
Three-Dimensional, and Multivariate Transforms | Karim Rahim |
| FGalgorithm | 1.0 | Flury and Gautschi algorithms | Dariush Najarzadeh |
| fGarch | 4033.92 | Rmetrics - Autoregressive Conditional Heteroskedastic Modelling | Georgi N. Boshnakov |
| fgdr | 1.1.1 | Utilities for Fundamental Geo-Spatial Data | Shinya Uryu |
| fgeo | 1.1.4 | Analyze Forest Diversity and Dynamics | Mauro Lepore |
| fgeo.analyze | 1.1.14 | Analyze ForestGEO Data | Mauro Lepore |
| fgeo.plot | 1.1.11 | Plot ForestGEO Data | Mauro Lepore |
| fgeo.tool | 1.2.9 | Import and Manipulate 'ForestGEO' Data | Mauro Lepore |
| fgeo.x | 1.1.4 | Access Small ForestGEO Datasets For Examples | Mauro Lepore |
| fgitR | 0.2.0 | Using 'FastGit' to Accelerate the Access to 'GitHub' | Han Chen |
| FGLMtrunc | 0.1.0 | Truncated Functional Generalized Linear Models | Chau Tran |
| fglsnet | 1.0 | A Feasible Generalized Least Squares Estimator for Regression
Analysis of Outcomes with Network Dependence | Weihua An |
| fgm | 1.0 | Partial Separability and Functional Gaussian Graphical Models | Javier Zapata |
| Fgmutils | 0.9.5 | Forest Growth Model Utilities | Clayton Vieira Fraga Filho |
| fgui | 1.0-8 | Function GUI | Thomas Hoffmann |
| FHDI | 1.4.1 | Fractional Hot Deck and Fully Efficient Fractional Imputation | Inho Cho |
| fhircrackr | 2.2.0 | Handling HL7 FHIR® Resources in R | Julia Palm |
| fHMM | 1.2.2 | Fitting Hidden Markov Models to Financial Data | Lennart Oelschläger |
| FHtest | 1.5.1 | Tests for Right and Interval-Censored Survival Data Based on the
Fleming-Harrington Class | Ramon Oller |
| FI | 1.0 | Provide functions for forest inventory calculations | David V. Dias |
| fiberLD | 0.1-8 | Fiber Length Determination | Natalya Pya Arnqvist |
| fic | 1.0.0 | Focused Information Criteria for Model Comparison | Christopher Jackson |
| fICA | 1.1-2 | Classical, Reloaded and Adaptive FastICA Algorithms | Klaus Nordhausen |
| fidelius | 0.0.2 | Browser-Side Password-Protected HTML Documents | Matthew T. Warkentin |
| fido | 1.0.4 | Bayesian Multinomial Logistic Normal Regression | Michelle Nixon
|
| FielDHub | 1.3.7 | A Shiny App for Design of Experiments in Life Sciences | Didier Murillo |
| fields | 15.2 | Tools for Spatial Data | Douglas Nychka |
| FieldSimR | 1.3.0 | Simulation of Plot Errors and Phenotypes in Plant Breeding Field
Trials | Christian Werner |
| fiery | 1.2.1 | A Lightweight and Flexible Web Framework | Thomas Lin Pedersen |
| FIESTA | 3.6.2 | Forest Inventory Estimation and Analysis | Grayson White |
| FIESTAutils | 1.2.2 | Utility Functions for Forest Inventory Estimation and Analysis | Grayson White |
| fig | 1.0.0 | A Config Package with No "Con" | Tymoteusz Makowski |
| figir | 0.1.7.0 | Check Validity of FIGI, CUSIP, ISIN, SEDOL | Panagiotis Cheilaris |
| figma | 0.2.0 | Web Client/Wrapper to the 'Figma API' | Pedro Faria |
| figpatch | 0.2 | Easily Arrange External Figures with Patchwork Alongside
'ggplot2' Figures | Brady Johnston |
| figuRes2 | 1.0.0 | Support for a Variety of Figure Production Tasks | Greg Cicconetti |
| file2meco | 0.7.1 | Transform Files to 'microtable' Object with 'microeco' Package | Chi Liu |
| filearray | 0.1.6 | File-Backed Array for Out-of-Memory Computation | Zhengjia Wang |
| filebin | 0.0.6 | Wrapper for the Filebin File Sharing API | Andrew B. Collier |
| filecacher | 0.2.9 | File Cacher | Or Gadish |
| filehash | 2.4-5 | Simple Key-Value Database | Roger D. Peng |
| filehashSQLite | 0.2-6 | Simple Key-Value Database Using SQLite | Roger D. Peng |
| filelock | 1.0.3 | Portable File Locking | Gábor Csárdi |
| filematrix | 1.3 | File-Backed Matrix Class with Convenient Read and Write Access | Andrey A Shabalin |
| filenamer | 0.2.4 | Easy Management of File Names | David J. H. Shih |
| files | 0.0.1 | Effective File Navigation from the R Console | Ronald E. Robertson |
| filesstrings | 3.4.0 | Handy File and String Manipulation | Rory Nolan |
| FILEST | 1.1.2 | Fine-Level Structure Simulator | Kridsadakorn Chaichoompu |
| filibustr | 0.2.0 | Data Utilities for Congressional Research | Max Feinleib |
| filling | 0.2.3 | Matrix Completion, Imputation, and Inpainting Methods | Kisung You |
| fillpattern | 1.0.1 | Patterned Fills for 'ggplot2' and 'grid' Graphics | Daniel P. Smith |
| fillr | 1.0.0 | Fill Missing Values in Vectors | Jelger van Zaane |
| filteRjsats | 1.0 | Filter Raw JSATS Acoustic Telemetry Files from Lotek, ATS,
Teknologic | Taylor Spaulding |
| filterNHP | 0.1.2 | Non-Human Primate Search Filters | Alan V. Rincon |
| fImport | 4032.87 | Rmetrics - Importing Economic and Financial Data | Georgi N. Boshnakov |
| finalfit | 1.0.7 | Quickly Create Elegant Regression Results Tables and Plots when
Modelling | Ewen Harrison |
| finalsize | 0.2.1 | Calculate the Final Size of an Epidemic | Pratik Gupte |
| FinAna | 0.1.2 | Financial Analysis and Regression Diagnostic Analysis | Xuanhua(Peter) Yin |
| FinancialInstrument | 1.3.1 | Financial Instrument Model Infrastructure and Meta-Data | Ross Bennett |
| FinancialMath | 0.1.1 | Financial Mathematics for Actuaries | Kameron Penn |
| finbif | 0.9.5 | Interface for the 'Finnish Biodiversity Information Facility'
API | William K. Morris |
| finbipartite | 0.1.0 | Learning Bipartite Graphs: Heavy Tails and Multiple Components | Ze Vinicius |
| FinCal | 0.6.3 | Time Value of Money, Time Series Analysis and Computational
Finance | Felix Yanhui Fan |
| finch | 0.4.0 | Parse Darwin Core Files | Scott Chamberlain |
| FinCovRegularization | 1.1.0 | Covariance Matrix Estimation and Regularization for Finance | YaChen Yan |
| findInFiles | 0.4.0 | Find Pattern in Files | Stéphane Laurent |
| findInGit | 0.1.1 | Find Pattern in Files of All Branches of a 'git' Repository | Stéphane Laurent |
| FindIt | 1.2.0 | Finding Heterogeneous Treatment Effects | Naoki Egami |
| findPackage | 0.2.0 | Find 'CRAN' Package by Topic | Amarnath Bose |
| findpython | 1.0.8 | Functions to Find an Acceptable Python Binary | Trevor L Davis |
| findR | 0.2.1 | Find Code Snippets, R Scripts, R Markdown, PDF and Text Files
with Pattern Matching | David Zumbach |
| findSVI | 0.1.2 | Calculate Social Vulnerability Index for Communities | Heli Xu |
| findviews | 0.1.3 | A View Generator for Multidimensional Data | Thibault Sellam |
| FinePop | 1.5.2 | Fine-Scale Population Analysis | Reiichiro Nakamichi |
| FinePop2 | 0.4 | Fine-Scale Population Analysis (Rewrite for
Gene-Trait-Environment Interaction Analysis) | Reiichiro Nakamichi |
| finetune | 1.2.0 | Additional Functions for Model Tuning | Max Kuhn |
| fingerprint | 3.5.7 | Functions to Operate on Binary Fingerprint Data | Rajarshi Guha |
| fingerPro | 1.1 | Sediment Source Fingerprinting | Ivan Lizaga |
| fingraph | 0.1.0 | Learning Graphs for Financial Markets | Ze Vinicius |
| finiteruinprob | 0.6 | Computation of the Probability of Ruin Within a Finite Time
Horizon | Benjamin Baumgartner |
| finity | 0.1.5 | Test for Finiteness of Moments in a Distribution | Torsten Heinrich |
| FinNet | 0.1.2 | Quickly Build and Manipulate Financial Networks | Fabio Ashtar Telarico |
| finnishgrid | 0.1.0 | 'Fingrid Open Data API' R Client | Markus Virtanen |
| finnsurveytext | 1.0.0 | Analyse Open-Ended Survey Responses in Finnish | Adeline Clarke |
| finnts | 0.4.0 | Microsoft Finance Time Series Forecasting Framework | Mike Tokic |
| finreportr | 1.0.4 | Financial Data from U.S. Securities and Exchange Commission | Seward Lee |
| FinTS | 0.4-9 | Companion to Tsay (2005) Analysis of Financial Time Series | Georgi N. Boshnakov |
| fipio | 1.1.2 | Lightweight Federal Information Processing System (FIPS) Code
Information Retrieval | Justin Singh-Mohudpur |
| fipp | 1.0.0 | Induced Priors in Bayesian Mixture Models | Jan Greve |
| FiRE | 1.0.1 | Finder of Rare Entities (FiRE) | Prashant Gupta |
| firebase | 1.0.2 | Integrates 'Google Firebase' Authentication Storage, and
'Analytics' with 'Shiny' | David Munoz Tord |
| firebehavioR | 0.1.2 | Prediction of Wildland Fire Behavior and Hazard | Justin Ziegler |
| first | 1.1 | Factor Importance Ranking and Selection using Total Indices | Chaofan Huang |
| FiSh | 1.1 | Fisher-Shannon Method | Mohamed Laib |
| fishbc | 0.2.1 | Fishes of British Columbia | Evan Amies-Galonski |
| fishdata | 1.0.1 | A Small Collection of Fish Population Datasets | Conor Neilson |
| FisherEM | 1.6 | The FisherEM Algorithm to Simultaneously Cluster and Visualize
High-Dimensional Data | Charles Bouveyron |
| fisheye | 0.2.0 | Transform Base Maps Using Log-Azimuthal Projection | Timothée Giraud |
| fishkirkko2015 | 1.0.0 | Dataset of Measurements of Fish Species at Kirkkojarvi Lake,
Finland | Jose Gama |
| fishmethods | 1.12-1 | Fishery Science Methods and Models | Gary A. Nelson |
| fishMod | 0.29 | Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta
Log-Normal Models | Scott Foster |
| FishPhyloMaker | 0.2.0 | Phylogenies for a List of Finned-Ray Fishes | Gabriel Nakamura |
| FishResp | 1.1.1 | Analytical Tool for Aquatic Respirometry | Sergey Morozov |
| fishRman | 1.2.3 | The Fisheries Scientist's Toolbox | Pasquale Buonomo |
| fishtree | 0.3.4 | Interface to the Fish Tree of Life API | Jonathan Chang |
| fishualize | 0.2.3 | Color Palettes Based on Fish Species | Nina M. D. Schiettekatte |
| FisPro | 1.1.4 | Fuzzy Inference System Design and Optimization | Jean-Luc Lablée |
| FIT | 0.0.6 | Transcriptomic Dynamics Models in Field Conditions | Koji Iwayama |
| fit.models | 0.64 | Compare Fitted Models | Kjell Konis |
| fitbitr | 0.3.0 | Interface with the 'Fitbit' API | Matt Kaye |
| fitbitScraper | 0.1.8 | Scrapes Data from Fitbit | Cory Nissen |
| fitbitViz | 1.0.6 | 'Fitbit' Visualizations | Lampros Mouselimis |
| fitConic | 1.2.1 | Fit Data to Any Conic Section | Carl Witthoft |
| fitdistrplus | 1.1-11 | Help to Fit of a Parametric Distribution to Non-Censored or
Censored Data | Aurelie Siberchicot |
| FitDynMix | 1.0.0 | Estimation of Dynamic Mixtures | Marco Bee |
| fitHeavyTail | 0.2.0 | Mean and Covariance Matrix Estimation under Heavy Tails | Daniel P. Palomar |
| fitlandr | 0.1.0 | Fit Vector Fields and Potential Landscapes from Intensive
Longitudinal Data | Jingmeng Cui |
| fitmix | 0.1.0 | Finite Mixture Model Fitting of Lifespan Datasets | Emine Guven |
| fitODBOD | 1.5.1 | Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD | Amalan Mahendran |
| fitODBODRshiny | 1.0.2 | 'Shiny' Application for R Package 'fitODBOD' | Amalan Mahendran |
| fitode | 0.1.1 | Tools for Ordinary Differential Equations Model Fitting | Sang Woo Park |
| fitplc | 1.2-3 | Fit Hydraulic Vulnerability Curves | Remko Duursma |
| fitPoly | 3.0.0 | Genotype Calling for Bi-Allelic Marker Assays | Roeland E. Voorrips |
| fitPS | 1.0.1 | Fit Zeta Distributions to Forensic Data | James Curran |
| fitscape | 0.1.0 | Classes for Fitness Landscapes and Seascapes | Raoul Wadhwa |
| FITSio | 2.1-6 | FITS (Flexible Image Transport System) Utilities | Andrew Harris |
| fitteR | 0.2.0 | Fit Hundreds of Theoretical Distributions to Empirical Data | Markus Boenn |
| FitUltD | 3.1.0 | Fit Univariate Mixed and Usual Distributions | José Carlos Del Valle |
| fitur | 0.6.2 | Fit Univariate Distributions | Thomas Roh |
| fitzRoy | 1.3.0 | Easily Scrape and Process AFL Data | James Day |
| fivethirtyeight | 0.6.2 | Data and Code Behind the Stories and Interactives at
'FiveThirtyEight' | Albert Y. Kim |
| fixedincome | 0.0.5 | Fixed Income Models, Calculations, Data Structures and
Instruments | Wilson Freitas |
| FixedPoint | 0.6.3 | Algorithms for Finding Fixed Point Vectors of Functions | Stuart Baumann |
| fixedpointproperty | 1.0 | Determine and Test the Fixed-Point Property in Binary Mixture
Data | Leendert Van Maanen |
| fixedTimeEvents | 1.0.1 | The Distribution of Distances Between Discrete Events in Fixed
Time | Kristian Hovde Liland |
| fixerapi | 0.1.6 | An R Client for the "Fixer.io" Currency API | Evan Odell |
| fixest | 0.11.2 | Fast Fixed-Effects Estimations | Laurent Berge |
| fixr | 0.1.0 | Fixing Data Made Easy for Statistical Analysis | Ambu Vijayan |
| FixSeqMTP | 0.1.2 | Fixed Sequence Multiple Testing Procedures | Yalin Zhu |
| fixtuRes | 0.1.3 | Mock Data Generator | Jakub Nowicki |
| fizzbuzzR | 0.1.1 | Fizz Buzz Implementation | Ansgar Wenzel |
| FjordLight | 0.7.0 | Available Light Within the Water Column and Seafloor of Arctic
Fjords | Robert W. Schlegel |
| FKF | 0.2.5 | Fast Kalman Filter | Paul Smith |
| FKF.SP | 0.3.1 | Fast Kalman Filtering Through Sequential Processing | Thomas Aspinall |
| FKSUM | 1.0.1 | Fast Kernel Sums | David P. Hofmeyr |
| flacco | 1.8 | Feature-Based Landscape Analysis of Continuous and Constrained
Optimization Problems | Pascal Kerschke |
| flagr | 0.3.2 | Implementation of Flag Aggregation | Mátyás Mészáros |
| flam | 3.2 | Fits Piecewise Constant Models with Data-Adaptive Knots | Ashley Petersen |
| FLAME | 2.1.1 | Interpretable Matching for Causal Inference | Vittorio Orlandi |
| flametree | 0.1.3 | Generate Random Tree-Like Images | Danielle Navarro |
| flamingos | 0.1.0 | Functional Latent Data Models for Clustering Heterogeneous
Curves ('FLaMingos') | Florian Lecocq |
| flan | 0.9 | FLuctuation ANalysis on Mutation Models | Adrien Mazoyer |
| flap | 0.1.0 | Forecast Linear Augmented Projection | Yangzhuoran Fin Yang |
| flare | 1.7.0.1 | Family of Lasso Regression | Xingguo Li |
| flashCard | 0.1.0 | Create a Flash Card | Jiena McLellan |
| flashClust | 1.01-2 | Implementation of optimal hierarchical clustering | Peter Langfelder |
| flashier | 1.0.7 | Empirical Bayes Matrix Factorization | Jason Willwerscheid |
| flashlight | 0.9.0 | Shed Light on Black Box Machine Learning Models | Michael Mayer |
| flashr | 0.1.2 | Create Flashcards of Terms and Definitions | Jeffrey R. Stevens |
| flatr | 0.1.1 | Transforms Contingency Tables to Data Frames, and Analyses Them | Scott D. Graham |
| flattabler | 2.1.1 | Obtaining a Flat Table from Pivot Tables | Jose Samos |
| flatxml | 0.1.1 | Tools for Working with XML Files as R Dataframes | Joachim Zuckarelli |
| fledge | 0.1.2 | Smoother Change Tracking and Versioning for R Packages | Kirill Müller |
| flevr | 0.0.4 | Flexible, Ensemble-Based Variable Selection with Potentially
Missing Data | Brian D. Williamson |
| flexclust | 1.4-1 | Flexible Cluster Algorithms | Friedrich Leisch |
| flexCWM | 1.92 | Flexible Cluster-Weighted Modeling | Angelo Mazza |
| flexdashboard | 0.6.2 | R Markdown Format for Flexible Dashboards | Garrick Aden-Buie |
| FlexDir | 1.0 | Tools to Work with the Flexible Dirichlet Distribution | Agnese Maria Di Brisco |
| FlexGAM | 0.7.2 | Generalized Additive Models with Flexible Response Functions | Elmar Spiegel |
| flexiblas | 3.4.0 | 'FlexiBLAS' API Interface | Iñaki Ucar |
| flexmet | 1.1 | Flexible Latent Trait Metrics using the Filtered Monotonic
Polynomial Item Response Model | Leah Feuerstahler |
| flexmix | 2.3-19 | Flexible Mixture Modeling | Bettina Gruen |
| flexmixNL | 0.0.1 | Finite Mixture Modeling of Generalized Nonlinear Models | Sanela Omerovic |
| flexmsm | 0.1.1 | A General Framework for Flexible Multi-State Survival Modelling | Alessia Eletti |
| flexOR | 0.9.6 | Flexible Odds Ratio Curves | Marta Azevedo |
| FlexParamCurve | 1.5-6 | Tools to Fit Flexible Parametric Curves | Stephen Oswald |
| flexpolyline | 0.3.0 | Flexible Polyline Encoding | Merlin Unterfinger |
| FlexReg | 1.3.0 | Regression Models for Bounded Continuous and Discrete Responses | Roberto Ascari |
| flexrsurv | 2.0.18 | Flexible Relative Survival Analysis | Michel Grzebyk |
| FlexScan | 0.2.2 | Flexible Scan Statistics | Zhicheng Du |
| flexsiteboard | 0.0.7 | Breaks Single Page Applications from 'flexdashboard' in Multiple
Files | Stephan Struckmann |
| flexsurv | 2.2.2 | Flexible Parametric Survival and Multi-State Models | Christopher Jackson |
| flexsurvcure | 1.3.1 | Flexible Parametric Cure Models | Jordan Amdahl |
| flextable | 0.9.5 | Functions for Tabular Reporting | David Gohel |
| FlexVarJM | 0.1.0 | Estimate Joint Models with Subject-Specific Variance | Léonie Courcoul |
| FlickrAPI | 0.1.0.1 | Access to Flickr API | Koki Ando |
| flifo | 0.1.5 | Don't Get Stuck with Stacks in R | Paul Poncet |
| flightplot | 0.1.0 | Plotting Flight Paths on Maps | Mingchu Xu |
| flightsbr | 0.4.0 | Download Flight and Airport Data from Brazil | Rafael H. M. Pereira |
| flimo | 0.1.5 | Fixed Landscape Inference Method | Sylvain Moinard |
| flintyR | 0.1.0 | Simple and Flexible Tests of Sample Exchangeability | Alan Aw |
| flip | 2.5.0 | Multivariate Permutation Tests | Livio Finos |
| flipbookr | 0.1.0 | Parses Code, Creates Partial Code Builds, Delivers Code Movie | Evangeline Reynolds |
| flipdownr | 0.1.1 | Implement a Countdown in 'RMarkdown' Documents and 'shiny'
Applications | Mohamed El Fodil Ihaddaden |
| flipdownWidgets | 0.1.0 | A Wrapper of JavaScript Library 'flipdown.js' | Yongchao Fang |
| flippant | 1.5.5 | Dithionite Scramblase Assay Analysis | Johannes Graumann |
| flipr | 0.3.3 | Flexible Inference via Permutations in R | Aymeric Stamm |
| flipscores | 1.2.0 | Robust Score Testing in GLMs, by Sign-Flip Contributions | Livio Finos |
| FLLat | 1.2-1 | Fused Lasso Latent Feature Model | Gen Nowak |
| float | 0.3-2 | 32-Bit Floats | Drew Schmidt |
| flobr | 0.2.3 | Convert Files to and from Binary Objects (BLOBs) | Joe Thorley |
| flock | 0.7 | Process Synchronization Using File Locks | Ivan Popivanov |
| flocker | 1.0-0 | Flexible Occupancy Estimation with Stan | Jacob B. Socolar |
| flood | 0.1.1 | Statistical Methods for the (Regional) Analysis of Flood
Frequency | Friederike Deiters |
| FloodFreqPlot | 0.1.0 | Flood Probability Plotting and Graphical Frequency Analysis | Ali Ahani |
| FLOPART | 2023.8.31 | Functional Labeled Optimal Partitioning | Toby Dylan Hocking |
| flora | 0.3.4 | Tools for Interacting with the Brazilian Flora 2020 | Gustavo Carvalho |
| florabr | 1.1.0 | Explore Brazilian Flora 2020 Database | Weverton Trindade |
| FLORAL | 0.2.0 | Fit Log-Ratio Lasso Regression for Compositional Data | Teng Fei |
| flow | 0.2.0 | View and Browse Code Using Flow Diagrams | Antoine Fabri |
| flowchart | 0.2.0 | Tidy Flowchart Generator | Pau Satorra |
| flowml | 0.1.3 | A Backend for a 'nextflow' Pipeline that Performs
Machine-Learning-Based Modeling of Biomedical Data | Sebastian Malkusch |
| flowr | 0.9.11 | Streamlining Design and Deployment of Complex Workflows | Sahil Seth |
| FlowRegEnvCost | 0.1.1 | The Environmental Costs of Flow Regulation | Javier Martinez-Lopez |
| FlowScreen | 1.2.6 | Daily Streamflow Trend and Change Point Screening | Jennifer Dierauer |
| flowTraceR | 0.1.0 | Tracing Information Flow for Inter-Software Comparisons in Mass
Spectrometry-Based Bottom-Up Proteomics | Oliver Kardell |
| flps | 1.0.0 | Fully-Latent Principal Stratification | Sooyong Lee |
| FLR | 1.0 | Fuzzy Logic Rule Classifier | Constantinos Mavridis |
| flsa | 1.5.5 | Path Algorithm for the General Fused Lasso Signal Approximator | Holger Hoefling |
| FLSSS | 9.1.3 | Mining Rigs for Problems in the Subset Sum Family | Charlie Wusuo Liu |
| Fluidigm | 0.2 | Handling Fluidigm Data | Daniel Fischer |
| fluidsynth | 1.0.0 | Read and Play Digital Music (MIDI) | Jeroen Ooms |
| FluMoDL | 0.0.3 | Influenza-Attributable Mortality with Distributed-Lag Models | Theodore Lytras |
| fluoSurv | 1.0.0 | Estimate Insect Survival from Fluorescence Data | Jean-Baptiste Ferdy |
| fluspect | 1.0.0 | Fluspect-B | Alberto Hornero |
| flux | 0.3-0.1 | Flux Rate Calculation from Dynamic Closed Chamber Measurements | Gerald Jurasinski |
| fluxweb | 0.2.0 | Estimate Energy Fluxes in Food Webs | Benoit Gauzens |
| flying | 0.1.3 | Simulation of Bird Flight Range | Brian Masinde |
| FlyingR | 0.2.2 | Simulation of Bird Flight Range | Brian Masinde |
| fma | 2.5 | Data Sets from "Forecasting: Methods and Applications" by
Makridakis, Wheelwright & Hyndman (1998) | Rob Hyndman |
| FMAdist | 0.1.2 | Frequentist Model Averaging Distribution | Xi Jiang |
| FMAT | 2024.3 | The Fill-Mask Association Test | Han-Wu-Shuang Bao |
| fmbasics | 0.3.0 | Financial Market Building Blocks | Imanuel Costigan |
| FMC | 1.0.1 | Factorial Experiments with Minimum Level Changes | Shwetank Lall |
| FMCCSD | 1.0 | Efficient Estimation of Clustered Current Status Data | Tong Wang |
| fmcmc | 0.5-2 | A friendly MCMC framework | George Vega Yon |
| fmdates | 0.1.4 | Financial Market Date Calculations | Imanuel Costigan |
| fmdu | 0.1.1 | (Restricted) [external] Multidimensional Unfolding | Frank Busing |
| FME | 1.3.6.3 | A Flexible Modelling Environment for Inverse Modelling,
Sensitivity, Identifiability and Monte Carlo Analysis | Karline Soetaert |
| fmeffects | 0.1.2 | Model-Agnostic Interpretations with Forward Marginal Effects | Holger Löwe |
| fmerPack | 0.0-1 | Tools of Heterogeneity Pursuit via Finite Mixture Effects Model | Yan Li |
| fmesher | 0.1.5 | Triangle Meshes and Related Geometry Tools | Finn Lindgren |
| fmf | 1.1.1 | Fast Class Noise Detector with Multi-Factor-Based Learning | Wanwan Zheng |
| FMM | 0.3.1 | Rhythmic Patterns Modeling by FMM Models | Itziar Fernandez |
| FMP | 1.4 | Filtered Monotonic Polynomial IRT Models | Niels G. Waller |
| fmpcloudr | 0.1.5 | R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API | Anthony Balentine |
| FMradio | 1.1.1 | Factor Modeling for Radiomics Data | Carel F.W. Peeters |
| fmri | 1.9.12 | Analysis of fMRI Experiments | Karsten Tabelow |
| fmriqa | 0.3.0 | Functional MRI Quality Assurance Routines | Martin Wilson |
| fMRIscrub | 0.14.5 | Scrubbing and Other Data Cleaning Routines for fMRI | Amanda Mejia |
| fMRItools | 0.4.2 | Routines for Common fMRI Processing Tasks | Amanda Mejia |
| fmsb | 0.7.6 | Functions for Medical Statistics Book with some Demographic Data | Minato Nakazawa |
| FMsmsnReg | 1.0 | Regression Models with Finite Mixtures of Skew Heavy-Tailed
Errors | Luis Benites Sanchez |
| FMStable | 0.1-4 | Finite Moment Stable Distributions | Daniel Wilson |
| fmt | 2.0 | Variance Estimation of FMT Method (Fully Moderated T-Statistic) | Lianbo Yu |
| fmtr | 1.6.3 | Easily Apply Formats to Data | David Bosak |
| fMultivar | 4031.84 | Rmetrics - Modeling of Multivariate Financial Return
Distributions | Stefan Theussl |
| fmx | 0.1.1 | Finite Mixture Parametrization | Tingting Zhan |
| fnets | 0.1.6 | Factor-Adjusted Network Estimation and Forecasting for
High-Dimensional Time Series | Haeran Cho |
| FNN | 1.1.4 | Fast Nearest Neighbor Search Algorithms and Applications | Shengqiao Li |
| fNonlinear | 4021.81 | Rmetrics - Nonlinear and Chaotic Time Series Modelling | Paul Smith |
| FOCI | 0.1.3 | Feature Ordering by Conditional Independence | Mona Azadkia |
| focusedMDS | 1.3.3 | Focused, Interactive Multidimensional Scaling | Lea Urpa |
| foghorn | 1.5.2 | Summarize CRAN Check Results in the Terminal | Francois Michonneau |
| folders | 0.1.0 | Standardized Folder Names | Brian High |
| folio | 1.4.0 | Datasets for Teaching Archaeology and Paleontology | Nicolas Frerebeau |
| fomantic.plus | 0.1.0 | Add Extra 'Fomantic UI' Components to 'shiny.semantic' | Ashley Baldry |
| fontawesome | 0.5.2 | Easily Work with 'Font Awesome' Icons | Richard Iannone |
| fontBitstreamVera | 0.1.1 | Fonts with 'Bitstream Vera Fonts' License | Lionel Henry |
| fontcm | 1.1 | Computer Modern font for use with extrafont package | Winston Chang |
| fontLiberation | 0.1.0 | Liberation Fonts | Lionel Henry |
| fontquiver | 0.2.1 | Set of Installed Fonts | Lionel Henry |
| foodingraph | 0.1.0 | Food Network Inference and Visualization | Victor Gasque |
| foodquotient | 0.1.1 | Food Quotient and Nutrient Analysis for HSFFQ | Kate Pogue |
| foodwebWrapper | 1.1.0 | Enhanced Wrapper to Show Which Functions Call What | Barry Zeeberg |
| foolbox | 0.1.1 | Function Manipulation Toolbox | Thomas Mailund |
| footballpenaltiesBL | 1.0.0 | Penalties in the German Men's Football Bundesliga | Leo N. Geppert |
| footBayes | 0.2.0 | Fitting Bayesian and MLE Football Models | Leonardo Egidi |
| footprint | 0.1 | Calculate Air Travel Emissions | Anthony Schmidt |
| foqat | 2.0.8.2 | Field Observation Quick Analysis Toolkit | Tianshu Chen |
| ForagingOrg | 0.1.0 | Organization Measures for Visual Foraging | Marcos Bella-Fernández |
| forams | 2.0-6 | Foraminifera and Community Ecology Analyses | Rodrigo Aluizio |
| forcats | 1.0.0 | Tools for Working with Categorical Variables (Factors) | Hadley Wickham |
| forceplate | 1.1-3 | Processing Force-Plate Data | Raphae Hartmann |
| forceR | 1.0.20 | Force Measurement Analyses | Peter T. Rühr |
| foreach | 1.5.2 | Provides Foreach Looping Construct | Folashade Daniel |
| ForeCA | 0.2.7 | Forecastable Component Analysis | Georg M. Goerg |
| forecast | 8.22.0 | Forecasting Functions for Time Series and Linear Models | Rob Hyndman |
| ForecastComb | 1.3.1 | Forecast Combination Methods | Christoph E. Weiss |
| ForecastCombinations | 1.1 | Forecast Combinations | Eran Raviv |
| forecasteR | 2.0.2 | Time Series Forecast System | Oldemar Rodriguez |
| forecastHybrid | 5.0.19 | Convenient Functions for Ensemble Time Series Forecasts | David Shaub |
| forecastLSW | 1.0 | Forecasting Routines for Locally Stationary Wavelet Processes | Rebecca Killick |
| forecastML | 0.9.0 | Time Series Forecasting with Machine Learning Methods | Nickalus Redell |
| forecastSNSTS | 1.3-0 | Forecasting for Stationary and Non-Stationary Time Series | Tobias Kley |
| ForecastTB | 1.0.1 | Test Bench for the Comparison of Forecast Methods | Neeraj Dhanraj Bokde |
| FoReco | 0.2.6 | Forecast Reconciliation | Daniele Girolimetto |
| ForeComp | 0.9.0 | Size-Power Tradeoff Visualization for Equal Predictive Ability
of Two Forecasts | Minchul Shin |
| forecTheta | 2.6.2 | Forecasting Time Series by Theta Models | Jose Augusto Fiorucci |
| foreign | 0.8-86 | Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata',
'Systat', 'Weka', 'dBase', ... | R Core Team |
| forensIT | 1.0.0 | Information Theory Tools for Forensic Analysis | Franco Marsico |
| foreSIGHT | 1.2.0 | Systems Insights from Generation of Hydroclimatic Timeseries | David McInerney |
| forestat | 1.1.0 | Forest Carbon Sequestration and Potential Productivity
Calculation | Yuanyuan Han |
| forestControl | 0.2.2 | Approximate False Positive Rate Control in Selection Frequency
for Random Forest | Tom Wilson |
| ForestDisc | 0.1.0 | Forest Discretization | Haddouchi Maïssae |
| forestecology | 0.2.0 | Fitting and Assessing Neighborhood Models of the Effect of
Interspecific Competition on the Growth of Trees | Albert Y. Kim |
| forestError | 1.1.0 | A Unified Framework for Random Forest Prediction Error
Estimation | Benjamin Lu |
| ForestFit | 2.2.3 | Statistical Modelling for Plant Size Distributions | Mahdi Teimouri |
| ForestGapR | 0.1.7 | Tropical Forest Canopy Gaps Analysis | Carlos Alberto Silva |
| forestHES | 1.0-1 | Forest Health Evaluation System at the Forest Stand Level in
China | Zongzheng Chai |
| forestinventory | 1.0.0 | Design-Based Global and Small-Area Estimations for Multiphase
Forest Inventories | Andreas Hill |
| forestly | 0.1.0 | Interactive Forest Plot | Benjamin Wang |
| forestmangr | 0.9.6 | Forest Mensuration and Management | Sollano Rabelo Braga |
| forestmodel | 0.6.2 | Forest Plots from Regression Models | Nick Kennedy |
| forestplot | 3.1.3 | Advanced Forest Plot Using 'grid' Graphics | Max Gordon |
| forestploter | 1.1.1 | Create Flexible Forest Plot | Alimu Dayimu |
| forestr | 2.0.2 | Ecosystem and Canopy Structural Complexity Metrics from LiDAR | Jeff Atkins |
| forestRK | 0.0-5 | Implements the Forest-R.K. Algorithm for Classification Problems | Hyunjin Cho |
| forestry | 0.1.1 | Reshape Data Tree | Jiena McLellan |
| ForestTools | 1.0.1 | Tools for Analyzing Remote Sensing Forest Data | Andrew Plowright |
| foretell | 0.2.0 | Projecting Customer Retention Based on Fader and Hardie
Probability Models | Srihari Jaganathan |
| forge | 0.2.0 | Casting Values into Shape | Kevin Kuo |
| forImage | 0.1.0 | Foraminiferal Image Analysis and Test Measurement | Thaise R Freitas |
| ForIT | 2.4.0 | Functions to Estimate Tree Volume and Phytomass in the Italian
Forest Inventory 2005 | Nicola Puletti |
| formatBibtex | 0.1.0 | Format BibTeX Entries and Files | Wenjie Wang |
| formatdown | 0.1.3 | Formatting Tools for 'rmarkdown' Documents | Richard Layton |
| formatR | 1.14 | Format R Code Automatically | Yihui Xie |
| formattable | 0.2.1 | Create 'Formattable' Data Structures | Kun Ren |
| formatters | 0.5.5 | ASCII Formatting for Values and Tables | Joe Zhu |
| formods | 0.1.4 | 'Shiny' Modules for General Tasks | John Harrold |
| FormShare | 1.0.1 | A Simple Connection Between the 'FormShare App' and 'R' for
Advanced Analytics | Carlos Quiros |
| Formula | 1.2-5 | Extended Model Formulas | Achim Zeileis |
| formula.tools | 1.7.1 | Programmatic Utilities for Manipulating Formulas, Expressions,
Calls, Assignments and Other R Objects | Christopher Brown |
| formulaic | 0.0.8 | Dynamic Generation and Quality Checks of Formula Objects | Anderson Nelson |
| formulops | 0.5.0 | Mathematical Operations on R Formula | Bill Denney |
| FormulR | 1.0.0 | Comprehensive Tools for Drug Formulation Analysis and
Visualization | Oche Ambrose George |
| forplo | 0.2.5 | Flexible Forest Plots | "Vincent ten Cate, PhD" |
| forrel | 1.6.1 | Forensic Pedigree Analysis and Relatedness Inference | Magnus Dehli Vigeland |
| forsearch | 6.0.0 | Diagnostic Analysis Using Forward Search Procedure for Various
Models | William Fairweather |
| forstringr | 1.0.0 | String Manipulation Package for Those Familiar with 'Microsoft
Excel' | Ezekiel Ogundepo |
| FORTLS | 1.4.0 | Automatic Processing of Terrestrial-Based Technologies Point
Cloud Data for Forestry Purposes | Juan Alberto Molina-Valero |
| fortunes | 1.5-4 | R Fortunes | Achim Zeileis |
| forward | 1.0.6 | Robust Analysis using Forward Search | Ken Beath |
| forwards | 0.1.3 | Data from Surveys Conducted by Forwards | Heather Turner |
| fossil | 0.4.0 | Palaeoecological and Palaeogeographical Analysis Tools | Matthew J. Vavrek |
| fossilbrush | 1.0.3 | Automated Cleaning of Fossil Occurrence Data | Joe Flannery-Sutherland |
| FossilSim | 2.3.2 | Simulation of Fossil and Taxonomy Data | Joelle Barido-Sottani |
| FossilSimShiny | 1.1.1 | Shiny Application for 'FossilSim' | Joelle Barido-Sottani |
| foto | 1.1 | Fourier Transform Textural Ordination | Koen Hufkens |
| foundry | 0.13.0 | 'Palantir Foundry' Software Development Kit | Alexandre Guinaudeau |
| FourgameteP | 0.1.0 | FourGamete Test | Milton T Drott |
| fourierin | 0.2.5 | Computes Numeric Fourier Integrals | Guillermo Basulto-Elias |
| fourPNO | 1.1.0 | Bayesian 4 Parameter Item Response Model | Steven Andrew Culpepper |
| FourScores | 1.5.1 | A Game for Human vs. Human or Human vs. AI | Matthias Speidel |
| FourWayHMM | 1.0.0 | Parsimonious Hidden Markov Models for Four-Way Data | Salvatore D. Tomarchio |
| fpa | 1.0 | Spatio-Temporal Fixation Pattern Analysis | Jinlu Cao |
| fPASS | 1.0.0 | Power and Sample Size for Projection Test under Repeated
Measures | Salil Koner |
| fpc | 2.2-11 | Flexible Procedures for Clustering | Christian Hennig |
| FPCA3D | 1.0 | Three Dimensional Functional Component Analysis | Nan Lin |
| fpcb | 0.1.0 | Predictive Confidence Bands for Functional Time Series
Forecasting | Nicolás Hernández |
| fpCompare | 0.2.4 | Reliable Comparison of Floating Point Numbers | Alex M Chubaty |
| FPDclustering | 2.3.1 | PD-Clustering and Related Methods | Cristina Tortora |
| fpeek | 0.1.2 | Check Text Files Content at a Glance | David Gohel |
| fpest | 0.1.1 | Estimating Finite Population Total | S.Sampath |
| FPLdata | 0.1.0 | Read in Fantasy Premier League Data | Andrew Little |
| fplot | 1.1.0 | Automatic Distribution Graphs Using Formulas | Laurent Berge |
| fplyr | 1.3.0 | Apply Functions to Blocks of Files | Federico Marotta |
| fpop | 2019.08.26 | Segmentation using Optimal Partitioning and Function Pruning | Guillem Rigaill |
| fpopw | 1.1 | Weighted Segmentation using Functional Pruning and Optimal
Partioning | Guillem Rigaill |
| fPortfolio | 4023.84 | Rmetrics - Portfolio Selection and Optimization | Stefan Theussl |
| fpow | 0.0-2 | Computing the noncentrality parameter of the noncentral F
distribution | Ali Baharev |
| fpp | 0.5 | Data for "Forecasting: principles and practice" | Rob J Hyndman |
| fpp2 | 2.5 | Data for "Forecasting: Principles and Practice" (2nd Edition) | Rob Hyndman |
| fpp3 | 0.5 | Data for "Forecasting: Principles and Practice" (3rd Edition) | Rob Hyndman |
| fptdApprox | 2.5 | Approximation of First-Passage-Time Densities for Diffusion
Processes | Juan J. Serrano-Perez |
| FPV | 0.5 | Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment | Abbas Parchami |
| fqacalc | 1.1.0 | Calculate Floristic Quality Assessment Metrics | Iris Foxfoot |
| fqadata | 1.1.0 | Contains Regional Floristic Quality Assessment Databases | Iris Foxfoot |
| fqar | 0.5.2 | Floristic Quality Assessment Tools for R | Andrew Gard |
| fr | 0.5.1 | Frictionless Standards | Cole Brokamp |
| frab | 0.0-3 | How to Add Two Tables | Robin K. S. Hankin |
| fracdiff | 1.5-3 | Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models | Martin Maechler |
| fracdist | 0.1.1 | Numerical CDFs for Fractional Unit Root and Cointegration Tests | Lealand Morin |
| FracKrigingR | 1.0.0 | Spatial Multivariate Data Modeling | Neringa Urbonaite |
| fracprolif | 1.0.7 | Fraction Proliferation via a Quiescent Growth Model | Shawn Garbett |
| fractaldim | 0.8-5 | Estimation of Fractal Dimensions | Hana Sevcikova |
| FractalParameterEstimation | 1.1.2 | Simulation and Parameter Estimation of Randomized Sierpinski
Carpets using the p-p-p-q-Model | Philipp Hermann |
| fractalRegression | 1.2 | Performs Fractal Analysis and Fractal Regression | Aaron Likens |
| fractD | 0.1.0 | Estimation of Fractal Dimension of a Black Area in 2D and 3D
(Slices) Images | Francesco Paolo Mancuso |
| FRACTION | 1.1.1 | Numeric Number into Fraction | OuYang Ming |
| fractional | 0.1.3 | Vulgar Fractions in R | Bill Venables |
| fracture | 0.2.1 | Convert Decimals to Fractions | Alexander Rossell Hayes |
| fragility | 1.4 | Assessing and Visualizing Fragility of Clinical Results with
Binary Outcomes | Lifeng Lin |
| Fragman | 1.0.9 | Fragment Analysis in R | Giovanny Covarrubias-Pazaran |
| frailtyEM | 1.0.1 | Fitting Frailty Models with the EM Algorithm | Theodor Adrian Balan |
| frailtyHL | 2.3 | Frailty Models via Hierarchical Likelihood | Maengseok Noh |
| frailtyMMpen | 1.2.1 | Efficient Algorithm for High-Dimensional Frailty Model | Yunpeng Zhou |
| frailtypack | 3.6.0 | Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints | Virginie Rondeau |
| frailtySurv | 1.3.8 | General Semiparametric Shared Frailty Model | Vinnie Monaco |
| frair | 0.5.100 | Tools for Functional Response Analysis | Daniel Pritchard |
| framecleaner | 0.2.1 | Clean Data Frames | Harrison Tietze |
| Frames2 | 0.2.1 | Estimation in Dual Frame Surveys | David Molina |
| franc | 1.1.4 | Detect the Language of Text | Gábor Csárdi |
| FRAPO | 0.4-1 | Financial Risk Modelling and Portfolio Optimisation with R | Bernhard Pfaff |
| frapplot | 0.1.3 | Automatic Data Processing and Visualization for FRAP | Guanqiao Ding |
| frbinom | 1.0.0 | Fractional Binomial Distributions | Jeonghwa Lee |
| frbs | 3.2-0 | Fuzzy Rule-Based Systems for Classification and Regression Tasks | Christoph Bergmeir |
| FRCC | 1.1.0 | Fast Regularized Canonical Correlation Analysis | Raul Cruz-Cano |
| frechet | 0.3.0 | Statistical Analysis for Random Objects and Non-Euclidean Data | Yaqing Chen |
| fredr | 2.1.0 | An R Client for the 'FRED' API | Sam Boysel |
| free | 1.0.1 | Flexible Regularized Estimating Equations | Yi Lian |
| freealg | 1.1-1 | The Free Algebra | Robin K. S. Hankin |
| freebird | 1.0 | Estimation and Inference for High Dimensional Mediation and
Surrogate Analysis | Layla Parast |
| freecurrencyapi | 0.1.0 | Client for the 'freecurrencyapi.com' Currency Conversion API | Dominik Kukacka |
| freedom | 1.0.1 | Demonstration of Disease Freedom (DDF) | Thomas Rosendal |
| freegroup | 1.1-8 | The Free Group | Robin K. S. Hankin |
| FreeSortR | 1.3 | Free Sorting Data Analysis | Philippe Courcoux |
| freesurferformats | 0.1.18 | Read and Write 'FreeSurfer' Neuroimaging File Formats | Tim Schäfer |
| FREEtree | 0.1.0 | Tree Method for High Dimensional Longitudinal Data | Athanasse Zafirov |
| fRegression | 4021.83 | Rmetrics - Regression Based Decision and Prediction | Paul J. Northrop |
| frenchCurve | 0.2.0 | Generate Open or Closed Interpolating Curves | Bill Venables |
| frenchdata | 0.2.0 | Download Data Sets from Kenneth's French Finance Data Library
Site | Nelson Areal |
| FREQ | 1.0 | FREQ: Estimate population size from capture frequencies | Annegret Grimm |
| freqdist | 0.1 | Frequency Distribution | Kenneth W. Moffett |
| freqdistributionNogives | 0.1.1 | Automated Cumulative Frequency Plots for Grouped Distribution | Harshit Budakoti |
| freqdom | 2.0.5 | Frequency Domain Based Analysis: Dynamic PCA | Kidzinski L. |
| freqdom.fda | 1.0.1 | Functional Time Series: Dynamic Functional Principal Components | Kidzinski L. |
| freqparcoord | 1.0.1 | Novel Methods for Parallel Coordinates | Norm Matloff |
| freqpcr | 0.4.0 | Estimates Allele Frequency on qPCR DeltaDeltaCq from Bulk
Samples | Masaaki Sudo |
| FreqProf | 0.0.1 | Frequency Profiles Computing and Plotting | Ronald E. Robertson |
| freqtables | 0.1.1 | Make Quick Descriptive Tables for Categorical Variables | Brad Cannell |
| frequency | 0.4.1 | Easy Frequency Tables | Alistair Wilcox |
| frequencyConnectedness | 0.2.4 | Spectral Decomposition of Connectedness Measures | Tomas Krehlik |
| frequentdirections | 0.1.0 | Implementation of Frequent-Directions Algorithm for Efficient
Matrix Sketching | Shinichi Takayanagi |
| frequentistSSD | 0.1.1 | Screened Selection Design with Survival Endpoints | Chia-Wei Hsu |
| FRESA.CAD | 3.4.7 | Feature Selection Algorithms for Computer Aided Diagnosis | Jose Gerardo Tamez-Pena |
| FRESHD | 1.0 | Fast Robust Estimation of Signals in Heterogeneous Data | Adam Lund |
| freshr | 1.0.2 | Make R Environment Fresh Again | Shawn Lin |
| FrF2 | 2.3-3 | Fractional Factorial Designs with 2-Level Factors | Ulrike Groemping |
| FrF2.catlg128 | 1.2-3 | Catalogues of Resolution IV 128 Run 2-Level Fractional
Factorials Up to 33 Factors that Do Have 5-Letter Words | Ulrike Groemping |
| FRI | 1.0 | Relative Importance of Main and Interaction Effects | Omar Maghawry Ibrahim |
| frictionless | 1.1.0 | Read and Write Frictionless Data Packages | Peter Desmet |
| friends | 0.1.0 | The Entire Transcript from Friends in Tidy Format | Emil Hvitfeldt |
| fritools | 4.3.0 | Utilities for the Forest Research Institute of the State
Baden-Wuerttemberg | Andreas Dominik Cullmann |
| fritools2 | 4.1.0 | Utilities for the Forest Research Institute of the State
Baden-Wuerttemberg | Andreas Dominik Cullmann |
| FRK | 2.2.3 | Fixed Rank Kriging | Andrew Zammit-Mangion |
| fRLR | 1.3.0 | Fit Repeated Linear Regressions | Lijun Wang |
| fromo | 0.2.1 | Fast Robust Moments | Steven E. Pav |
| frontier | 1.1-8 | Stochastic Frontier Analysis | Arne Henningsen |
| frontiles | 1.3.1 | Partial Frontier Efficiency Analysis | Thibault Laurent |
| frostr | 0.2.0 | R API to MET Norway's 'Frost' API | Iman Ghayoornia |
| froth | 1.1.0 | Emulate a 'Forth' Programming Environment | Aidan Lakshman |
| frscore | 0.3.1 | Functions for Calculating Fit-Robustness of CNA-Solutions | Veli-Pekka Parkkinen |
| fruclimadapt | 0.4.5 | Evaluation Tools for Assessing Climate Adaptation of Fruit Tree
Species | Carlos Miranda |
| fs | 1.6.3 | Cross-Platform File System Operations Based on 'libuv' | Gábor Csárdi |
| FSA | 0.9.5 | Simple Fisheries Stock Assessment Methods | Derek H. Ogle |
| FSAdata | 0.4.1 | Data to Support Fish Stock Assessment ('FSA') Package | Derek Ogle |
| FSAtools | 2.0.5 | Fragment Analysis and Capillary Sequencing Tool Kit | Sylvain Mareschal |
| fsbrain | 0.5.5 | Managing and Visualizing Brain Surface Data | Tim Schäfer |
| fscache | 1.0.2 | File System Cache | Pierrick Roger |
| fscaret | 0.9.4.4 | Automated Feature Selection from 'caret' | Jakub Szlek |
| FSDAM | 2024.1-30 | Forward Stepwise Deep Autoencoder-Based Monotone NLDR | Youyi Fong |
| fsdaR | 0.9-0 | Robust Data Analysis Through Monitoring and Dynamic
Visualization | Valentin Todorov |
| FSelector | 0.34 | Selecting Attributes | Lars Kotthoff |
| FSelectorRcpp | 0.3.11 | 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature
Selection Algorithms with a Sparse Matrix Support | Zygmunt Zawadzki |
| fsemipar | 1.0.1 | Estimation, Variable Selection and Prediction for Functional
Semiparametric Models | Silvia Novo |
| fsia | 1.1.1 | Import and Analysis of OMR Data from FormScanner | Michela Battauz |
| FSinR | 2.0.5 | Feature Selection | Alfonso Jiménez-Vílchez |
| FSInteract | 0.1.2 | Fast Searches for Interactions | Rajen D. Shah |
| FSK2R | 0.1.3 | An Interface Between the 'FSKX' Standard and 'R' | Alberto Garre |
| fslr | 2.25.2 | Wrapper Functions for 'FSL' ('FMRIB' Software Library) from
Functional MRI of the Brain ('FMRIB') | John Muschelli |
| FSM | 1.0.0 | Finite Selection Model | Ambarish Chattopadhyay |
| FSMUMI | 1.0 | Imputation of Time Series Based on Fuzzy Logic | Thi Thu Hong Phan |
| fsn | 0.2 | Rosenthal's Fail Safe Number and Related Functions | Michail Tsagris |
| fso | 2.1-2 | Fuzzy Set Ordination | David W. Roberts |
| fspe | 0.1.2 | Estimating the Number of Factors in EFA with Out-of-Sample
Prediction Errors | Jonas Haslbeck |
| fsr | 2.0.1 | Handling Fuzzy Spatial Data | Anderson Carniel |
| fSRM | 0.6.5 | Social Relations Analyses with Roles ("Family SRM") | Felix Schönbrodt |
| fssemR | 0.1.8 | Fused Sparse Structural Equation Models to Jointly Infer Gene
Regulatory Network | Xin Zhou |
| FSSF | 0.1.1 | Generate Fully-Sequential Space-Filling Designs Inside a Unit
Hypercube | Boyang Shang |
| fst | 0.9.8 | Lightning Fast Serialization of Data Frames | Mark Klik |
| fst4pg | 1.0.0 | Genetic Distance Segmentation for Population Genetics | Tristan Mary-Huard |
| Fstability | 0.1.2 | Calculate Feature Stability | Nicolas Ewen |
| fstcore | 0.9.18 | R Bindings to the 'Fstlib' Library | Mark Klik |
| fsthet | 1.0.1 | Fst-Heterozygosity Smoothed Quantiles | Sarah P. Flanagan |
| FSTpackage | 0.1 | Unified Sequence-Based Association Tests Allowing for Multiple
Functional Annotation Scores | Zihuai He |
| ftaproxim | 0.0.1 | Fault Tree Analysis Based on Proxel Simulation | Hossein Haghbin |
| ftDK | 1.0 | A Wrapper for the API of the Danish Parliament | Mikkel Freltoft Krogsholm |
| ftExtra | 0.6.3 | Extensions for 'Flextable' | Atsushi Yasumoto |
| fTrading | 3042.79 | Rmetrics - Trading and Rebalancing Financial Instruments | Tobias Setz |
| ftrCOOL | 2.0.0 | Feature Extraction from Biological Sequences | Sare Amerifar |
| ftsa | 6.4 | Functional Time Series Analysis | Han Lin Shang |
| ftsspec | 1.0.0 | Spectral Density Estimation and Comparison for Functional Time
Series | Shahin Tavakoli |
| fude | 0.3.5 | Utilities for Fude Polygon | Takeshi Nishimura |
| fuel | 1.2.0 | Framework for Unified Estimation in Lognormal Models | Jiangtao Gou |
| fueleconomy | 1.0.0 | EPA Fuel Economy Data | Hadley Wickham |
| fugue | 0.1.7 | Sensitivity Analysis Optimized for Matched Sets of Varied Sizes | Paul R. Rosenbaum |
| fuj | 0.1.4 | Functions and Utilities for Jordan | Jordan Mark Barbone |
| fullfact | 1.5.2 | Full Factorial Breeding Analysis | Aimee Lee Houde |
| fullROC | 0.1.0 | Plot Full ROC Curves using Eyewitness Lineup Data | Yueran Yang |
| fun | 0.3 | Use R for Fun | Yihui Xie |
| func2vis | 1.0-3 | Clean and Visualize Over Expression Results from
'ConsensusPathDB' | Raghvendra Mall |
| FunCC | 1.0 | Functional Cheng and Church Bi-Clustering | Agostino Torti |
| FuncDiv | 1.0.0 | Compute Contributional Diversity Metrics | Gavin Douglas |
| funcharts | 1.4.1 | Functional Control Charts | Christian Capezza |
| funchir | 0.2.2 | Convenience Functions by Michael Chirico | Michael Chirico |
| FunChisq | 2.5.3 | Model-Free Functional Chi-Squared and Exact Tests | Joe Song |
| FuncMap | 1.0.10 | Hive Plots of R Package Function Calls | Bryan A. Hanson |
| FuncNN | 1.0 | Functional Neural Networks | Barinder Thind |
| FunctanSNP | 0.1.0 | Functional Analysis (with Interactions) for Dense SNP Data | Rui Ren |
| functional | 0.6 | Curry, Compose, and other higher-order functions | Peter Danenberg |
| functiondepends | 0.2.3 | Find Functions and their Dependencies | Jakub Sobolewski |
| funData | 1.3-9 | An S4 Class for Functional Data | Clara Happ-Kurz |
| fundiversity | 1.1.1 | Easy Computation of Functional Diversity Indices | Matthias Grenié |
| funFEM | 1.2 | Clustering in the Discriminative Functional Subspace | Charles Bouveyron |
| fungible | 2.4.4 | Psychometric Functions from the Waller Lab | Niels Waller |
| funGp | 0.3.2 | Gaussian Process Models for Scalar and Functional Inputs | Jose Betancourt |
| funique | 0.0.1 | A Faster Unique Function | Michael Wayne Kearney |
| fUnitRoots | 4021.80 | Rmetrics - Modelling Trends and Unit Roots | Georgi N. Boshnakov |
| funkycells | 1.1.1 | Functional Data Analysis for Multiplexed Cell Images | Jeremy VanderDoes |
| funkyheatmap | 0.5.0 | Generating Funky Heatmaps for Data Frames | Robrecht Cannoodt |
| funLBM | 2.3 | Model-Based Co-Clustering of Functional Data | Charles Bouveyron |
| funmediation | 1.0.2 | Functional Mediation for a Distal Outcome | John J. Dziak |
| funModeling | 1.9.5 | Exploratory Data Analysis and Data Preparation Tool-Box | Pablo Casas |
| funneljoin | 0.2.0 | Time-Based Joins to Analyze Sequences of Events | Emily Robinson |
| FunnelPlotR | 0.4.2 | Funnel Plots for Comparing Institutional Performance | Chris Mainey |
| funnelR | 0.1.0 | Funnel Plots for Proportion Data | Matthew Kumar |
| funpca | 9.0 | Functional Principal Component Analysis | Francisco Rosales |
| funprog | 0.3.0 | Functional Programming | Pierre-Yves Berrard |
| funr | 0.3.2 | Simple Utility Providing Terminal Access to all R Functions | Sahil Seth |
| funrar | 1.5.0 | Functional Rarity Indices Computation | Matthias Grenié |
| funreg | 1.2.2 | Functional Regression for Irregularly Timed Data | John Dziak |
| funspace | 0.2.1 | Creating and Representing Functional Trait Spaces | Carlos P. Carmona |
| funspotr | 0.0.4 | Spot R Functions & Packages | Bryan Shalloway |
| funStatTest | 1.0.2 | Statistical Testing for Functional Data | Ghislain Durif |
| FUNTA | 0.1.0 | Functional Tangential Angle Pseudo-Depth | Andre Rehage |
| funtimes | 9.1 | Functions for Time Series Analysis | Vyacheslav Lyubchich |
| FunWithNumbers | 1.2 | Fun with Fractions and Number Sequences | Carl Witthoft |
| furniture | 1.9.14 | Furniture for Quantitative Scientists | Tyson S. Barrett |
| furrr | 0.3.1 | Apply Mapping Functions in Parallel using Futures | Davis Vaughan |
| fusedMGM | 0.1.0.1 | Implementation of Fused MGM to Infer 2-Class Networks | Jaehyun Park |
| fusen | 0.5.2 | Build a Package from Rmarkdown Files | Sebastien Rochette |
| fuser | 1.0.1 | Fused Lasso for High-Dimensional Regression over Groups | Frank Dondelinger |
| fusionchartsR | 0.0.3 | Embedding 'FusionCharts Javascript' Library in R | Alex Yahiaoui Martinez |
| fusionclust | 1.0.0 | Clustering and Feature Screening using L1 Fusion Penalty | Trambak Banerjee |
| FusionLearn | 0.2.1 | Fusion Learning | Yuan Zhong |
| futile.logger | 1.4.3 | A Logging Utility for R | Brian Lee Yung Rowe |
| futile.options | 1.0.1 | Futile Options Management | Brian Lee Yung Rowe |
| futility | 0.4 | Interim Analysis of Operational Futility in Randomized Trials
with Time-to-Event Endpoints and Fixed Follow-Up | Michal Juraska |
| future | 1.33.2 | Unified Parallel and Distributed Processing in R for Everyone | Henrik Bengtsson |
| future.apply | 1.11.2 | Apply Function to Elements in Parallel using Futures | Henrik Bengtsson |
| future.batchtools | 0.12.1 | A Future API for Parallel and Distributed Processing using
'batchtools' | Henrik Bengtsson |
| future.callr | 0.8.2 | A Future API for Parallel Processing using 'callr' | Henrik Bengtsson |
| future.tests | 0.7.0 | Test Suite for 'Future API' Backends | Henrik Bengtsson |
| fuzzr | 0.2.2 | Fuzz-Test R Functions | Matthew Lincoln |
| Fuzzy.p.value | 1.1 | Computing Fuzzy p-Value | Abbas Parchami |
| FuzzyAHP | 0.9.5 | (Fuzzy) AHP Calculation | Jan Caha |
| FuzzyClass | 0.1.6 | Fuzzy and Non-Fuzzy Classifiers | Jodavid Ferreira |
| FuzzyDBScan | 0.0.3 | Run and Predict a Fuzzy DBScan | Henri Funk |
| fuzzyforest | 1.0.8 | Fuzzy Forests | Daniel Conn |
| fuzzyjoin | 0.1.6 | Join Tables Together on Inexact Matching | David Robinson |
| FuzzyLP | 0.1-7 | Fuzzy Linear Programming | Pablo J. Villacorta |
| FuzzyM | 0.1.0 | Fuzzy Cognitive Maps Operations | Alina Petukhova |
| FuzzyNumbers | 0.4-7 | Tools to Deal with Fuzzy Numbers | Marek Gagolewski |
| FuzzyNumbers.Ext.2 | 3.2 | Apply Two Fuzzy Numbers on a Monotone Function | Abbas Parchami |
| FuzzyPovertyR | 2.0.1 | Estimation of Fuzzy Poverty Measures | Federico Crescenzi |
| FuzzyQ | 0.1.0 | Fuzzy Quantification of Common and Rare Species | Juan A. Balbuena |
| FuzzyR | 2.3.2 | Fuzzy Logic Toolkit for R | Chao Chen |
| fuzzyRankTests | 0.4 | Fuzzy Rank Tests and Confidence Intervals | Charles J. Geyer |
| fuzzyreg | 0.6.2 | Fuzzy Linear Regression | Natalia Martinkova |
| FuzzyResampling | 0.6.3 | Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers | Maciej Romaniuk |
| fuzzySim | 4.10.7 | Fuzzy Similarity in Species Distributions | A. Marcia Barbosa |
| FuzzySimRes | 0.4.0 | Simulation and Resampling Methods for Epistemic Fuzzy Data | Maciej Romaniuk |
| FuzzyStatProb | 2.0.4 | Fuzzy Stationary Probabilities from a Sequence of Observations
of an Unknown Markov Chain | Pablo J. Villacorta |
| FuzzyStatTra | 1.0 | Statistical Methods for Trapezoidal Fuzzy Numbers | Asun Lubiano |
| FuzzyStatTraEOO | 1.0 | Package 'FuzzyStatTra' in Encapsulated Object Oriented
Programming | Andrea García Cernuda |
| FuzzySTs | 0.2 | Fuzzy Statistical Tools | Redina Berkachy |
| fuzzywuzzyR | 1.0.5 | Fuzzy String Matching | Lampros Mouselimis |
| fwb | 0.2.0 | Fractional Weighted Bootstrap | Noah Greifer |
| FWDselect | 2.1.0 | Selecting Variables in Regression Models | Marta Sestelo |
| fwildclusterboot | 0.13.0 | Fast Wild Cluster Bootstrap Inference for Linear Models | Alexander Fischer |
| fwlplot | 0.2.0 | Scatter Plot After Residualizing Using 'fixest' Package | Kyle Butts |
| FWRGB | 0.1.0 | Fresh Weight Determination from Visual Image of the Plant | Tanuj Misra |
| fwsim | 0.3.4 | Fisher-Wright Population Simulation | Mikkel Meyer Andersen |
| fxl | 1.6.3 | 'fxl' Single Case Design Charting Package | Shawn Gilroy |
| fxregime | 1.0-4 | Exchange Rate Regime Analysis | Achim Zeileis |
| fxTWAPLS | 0.1.2 | An Improved Version of WA-PLS | Roberto Villegas-Diaz |
| fy | 0.4.2 | Utilities for Financial Years | Hugh Parsonage |
| g.data | 2.4.1 | Delayed-Data Packages | David Brahm |
| g.ridge | 1.0 | Generalized Ridge Regression for Linear Models | Takeshi Emura |
| G2Sd | 2.1.5 | Grain-Size Statistics and Description of Sediment | Regis K. Gallon |
| GA | 3.2.4 | Genetic Algorithms | Luca Scrucca |
| GAabbreviate | 1.3 | Abbreviating Items Measures using Genetic Algorithms | Baljinder K. Sahdra |
| GABB | 0.3.8 | Facilitation of Data Preparation and Plotting Procedures for RDA
and PCA Analyses | Gregoire Bianchetti |
| GACFF | 1.0 | Genetic Similarity in User-Based Collaborative Filtering | Farimah Houshmand Nanehkaran |
| GAD | 1.1.1 | GAD: Analysis of variance from general principles | Leonardo Sandrini-Neto |
| GADAG | 0.99.0 | A Genetic Algorithm for Learning Directed Acyclic Graphs | Magali Champion |
| gadget2 | 2.3.11 | Gadget is the Globally-Applicable Area Disaggregated General
Ecosystem Toolbox | Bjarki Thor Elvarsson |
| gadget3 | 0.11-1 | Globally-Applicable Area Disaggregated General Ecosystem Toolbox
V3 | Jamie Lentin |
| gafit | 0.5.1 | Genetic Algorithm for Curve Fitting | Telford Tendys |
| GAGAs | 0.6.2 | Global Adaptive Generative Adjustment Algorithm for Generalized
Linear Models | Bin Wang |
| GAGBLUP | 1.0 | Genetic Algorithm Assisted Genomic Best Liner Unbiased
Prediction | Yuxiang Zhang |
| gaiah | 0.0.5 | Genetic and Isotopic Assignment Accounting for Habitat
Suitability | Eric C. Anderson |
| gainML | 0.1.0 | Machine Learning-Based Analysis of Potential Power Gain from
Passive Device Installation on Wind Turbine Generators | Hoon Hwangbo |
| gains | 1.2 | Lift (Gains) Tables and Charts | Craig A. Rolling |
| GAIPE | 1.1 | Graphical Extension with Accuracy in Parameter Estimation
(GAIPE) | Yao Lin |
| galah | 2.0.1 | Biodiversity Data from the GBIF Node Network | Martin Westgate |
| galamm | 0.2.0 | Generalized Additive Latent and Mixed Models | Øystein Sørensen |
| galigor | 0.2.5 | Collection of Packages for Internet Marketing | Alexey Seleznev |
| GALLO | 1.4 | Genomic Annotation in Livestock for Positional Candidate LOci | Pablo Fonseca |
| galts | 1.3.2 | Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares)
Estimation | Mehmet Hakan Satman |
| galvanizer | 0.5.3 | Interface to Galvanize 'Highbond' Internal Audit Software | Jonathan Lin |
| gam | 1.22-3 | Generalized Additive Models | Trevor Hastie |
| gam.hp | 0.0-1 | Hierarchical Partitioning of Adjusted R2 and Explained Deviance
for Generalized Additive Models | Jiangshan Lai |
| GaMaBioMD | 0.2.0 | Diversity Analysis for Sequence Data | Sandip Garai |
| gamair | 1.0-2 | Data for 'GAMs: An Introduction with R' | Simon Wood |
| gambin | 2.5.0 | Fit the Gambin Model to Species Abundance Distributions | Thomas Matthews |
| gamblers.ruin.gameplay | 4.0.5 | One-Dimensional Random Walks Through Simulation of the Gambler's
Ruin Problem | Somjit Roy |
| gamboostLSS | 2.0-7 | Boosting Methods for 'GAMLSS' | Benjamin Hofner |
| gamboostMSM | 1.1.88 | Boosting Multistate Models | Holger Reulen |
| gamclass | 0.62.5 | Functions and Data for a Course on Modern Regression and
Classification | John Maindonald |
| gamCopula | 0.0-7 | Generalized Additive Models for Bivariate Conditional Dependence
Structures and Vine Copulas | Thibault Vatter |
| GAMens | 1.2.1 | Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for
Binary Classification | Koen W. De Bock |
| gameR | 0.0.5 | Color Palettes Inspired by Video Games | Nathan Constantine-Cooke |
| gamesGA | 1.1.3.7 | Genetic Algorithm for Sequential Symmetric Games | A. Bradley Duthie |
| GameTheory | 2.7.1 | Cooperative Game Theory | Sebastian Cano-Berlanga |
| GameTheoryAllocation | 1.0 | Tools for Calculating Allocations in Game Theory | Alejandro Saavedra-Nieves |
| gamlr | 1.13-8 | Gamma Lasso Regression | Matt Taddy |
| gamlss | 5.4-22 | Generalized Additive Models for Location Scale and Shape | Mikis Stasinopoulos |
| gamlss.add | 5.1-13 | Extra Additive Terms for Generalized Additive Models for
Location Scale and Shape | Mikis Stasinopoulos |
| gamlss.cens | 5.0-7 | Fitting an Interval Response Variable Using `gamlss.family'
Distributions | Mikis Stasinopoulos |
| gamlss.countKinf | 3.5.1 | Generating and Fitting K-Inflated 'discrete gamlss.family'
Distributions | Saeed Mohammadpour |
| gamlss.data | 6.0-6 | Data for Generalised Additive Models for Location Scale and
Shape | Mikis Stasinopoulos |
| gamlss.demo | 4.3-3 | Demos for GAMLSS | Mikis Stasinopoulos |
| gamlss.dist | 6.1-1 | Distributions for Generalized Additive Models for Location Scale
and Shape | Mikis Stasinopoulos |
| gamlss.foreach | 1.1-6 | Parallel Computations for Distributional Regression | Mikis Stasinopoulos |
| gamlss.ggplots | 2.1-12 | Plotting Functions for Generalized Additive Model for Location
Scale and Shape | Mikis Stasinopoulos |
| gamlss.inf | 1.0-1 | Fitting Mixed (Inflated and Adjusted) Distributions | Marco Enea |
| gamlss.lasso | 1.0-1 | Extra Lasso-Type Additive Terms for GAMLSS | Florian Ziel |
| gamlss.mx | 6.0-1 | Fitting Mixture Distributions with GAMLSS | Mikis Stasinopoulos |
| gamlss.spatial | 3.0-2 | Spatial Terms in Generalized Additive Models for Location Scale
and Shape Models | Fernanda De Bastiani |
| gamlss.tr | 5.1-9 | Generating and Fitting Truncated `gamlss.family' Distributions | Mikis Stasinopoulos |
| gamlssbssn | 0.1.0 | Bimodal Skew Symmetric Normal Distribution | Abu Hossain |
| gamm4 | 0.2-6 | Generalized Additive Mixed Models using 'mgcv' and 'lme4' | Simon Wood |
| gamma | 1.0.5 | Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry
Measurements | Archéosciences Bordeaux |
| Gammareg | 3.0.1 | Classic Gamma Regression: Joint Modeling of Mean and Shape
Parameters | Martha Corrales |
| gammSlice | 2.0-2 | Generalized Additive Mixed Model Analysis via Slice Sampling | Matt P. Wand |
| gamreg | 0.3 | Robust and Sparse Regression via Gamma-Divergence | Takayuki Kawashima |
| gamRR | 0.7.0 | Calculate the RR for the GAM | Zhicheng Du |
| gamsel | 1.8-2 | Fit Regularization Path for Generalized Additive Models | Trevor Hastie |
| gamselBayes | 2.0-1 | Bayesian Generalized Additive Model Selection | Matt P. Wand |
| gamstransfer | 3.0.2 | A Data Interface Between 'GAMS' and R | Atharv Bhosekar |
| ganDataModel | 1.1.6 | Build a Metric Subspaces Data Model for a Data Source | Werner Mueller |
| ganGenerativeData | 1.5.7 | Generate Generative Data for a Data Source | Werner Mueller |
| GANPA | 1.2 | Gene Association Network-Based Pathway Analysis (GANPA) | Zhaoyuan Fang |
| GANPAdata | 1.0 | The GANPA Datasets Package | Zhaoyuan Fang |
| gap | 1.5-3 | Genetic Analysis Package | Jing Hua Zhao |
| gap.datasets | 0.0.6 | Datasets for 'gap' | Jing Hua Zhao |
| GAparsimony | 0.9.5 | Searching Parsimony Models with Genetic Algorithms | F.J. Martinez-de-Pison |
| gapclosing | 1.0.2 | Estimate Gaps Under an Intervention | Ian Lundberg |
| gapfill | 0.9.6-1 | Fill Missing Values in Satellite Data | Florian Gerber |
| gapmap | 1.0.0 | Drawing Gapped Cluster Heatmaps with 'ggplot2' | Evan Biederstedt |
| gapminder | 1.0.0 | Data from Gapminder | Jennifer Bryan |
| GARCHIto | 0.1.0 | Class of GARCH-Ito Models | Xinyu Song |
| GARCHSK | 0.1.0 | Estimating a GARCHSK Model and GJRSK Model | Kei Nakagawa |
| garchx | 1.5 | Flexible and Robust GARCH-X Modelling | Genaro Sucarrat |
| GARCOM | 1.2.2 | Gene and Region Counting of Mutations ("GARCOM") | Sanjeev Sariya |
| gargle | 1.5.2 | Utilities for Working with Google APIs | Jennifer Bryan |
| gargoyle | 0.0.1 | An Event-Based Mechanism for 'Shiny' | Colin Fay |
| garma | 0.9.13 | Fitting and Forecasting Gegenbauer ARMA Time Series Models | Richard Hunt |
| garray | 1.1.2 | Generalized Array Arithmetic for Ragged Arrays with Named
Margins | Qingsheng Huang |
| GAS | 0.3.4 | Generalized Autoregressive Score Models | Leopoldo Catania |
| gasanalyzer | 0.3.4 | Import, Recompute and Analyze Data from Portable Gas Analyzers | Danny Tholen |
| gaselect | 1.0.22 | Genetic Algorithm (GA) for Variable Selection from
High-Dimensional Data | David Kepplinger |
| gasfluxes | 0.6-2 | Greenhouse Gas Flux Calculation from Chamber Measurements | Roland Fuss |
| gasmodel | 0.6.0 | Generalized Autoregressive Score Models | Vladimír Holý |
| GaSP | 1.0.5 | Train and Apply a Gaussian Stochastic Process Model | William J. Welch |
| gasper | 1.1.6 | Graph Signal Processing | Fabien Navarro |
| gastempt | 0.5.5 | Analyzing Gastric Emptying from MRI or Scintigraphy | Dieter Menne |
| gaston | 1.6 | Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models | Hervé Perdry |
| gatepoints | 0.1.5 | Easily Gate or Select Points on a Scatter Plot | Wajid Jawaid |
| gateR | 0.1.15 | Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation | Ian D. Buller |
| gatoRs | 1.0.1 | Geographic and Taxonomic Occurrence R-Based Scrubbing | Natalie N. Patten |
| GauPro | 0.2.11 | Gaussian Process Fitting | Collin Erickson |
| gauseR | 1.2 | Lotka-Volterra Models for Gause's 'Struggle for Existence' | Adam Clark |
| gausscov | 1.1.2 | The Gaussian Covariate Method for Variable Selection | Laurie Davies |
| gaussDiff | 1.1 | Difference measures for multivariate Gaussian probability
density functions | Henning Rust |
| gaussfacts | 0.0.2 | The Greatest Mathematician Since Antiquity | Dirk Eddelbuettel |
| GaussianHMM1d | 1.1.1 | Inference, Goodness-of-Fit and Forecast for Univariate Gaussian
Hidden Markov Models | Bouchra R. Nasri |
| gaussplotR | 0.2.5 | Fit, Predict and Plot 2D Gaussians | Vikram B. Baliga |
| gaussquad | 1.0-3 | Collection of Functions for Gaussian Quadrature | Frederick Novomestky |
| GaussSuppression | 0.8.3 | Tabular Data Suppression using Gaussian Elimination | Øyvind Langsrud |
| gawdis | 0.1.5 | Multi-Trait Dissimilarity with more Uniform Contributions | Pavel Fibich |
| gb | 2.3.3 | Generalize Lambda Distribution and Generalized Bootstrapping | Bin Wang |
| GB2 | 2.1.1 | Generalized Beta Distribution of the Second Kind: Properties,
Likelihood, Estimation | Desislava Nedyalkova |
| GB2group | 0.3.0 | Estimation of the Generalised Beta Distribution of the Second
Kind from Grouped Data | Vanesa Jorda |
| GB5mcPred | 0.1.0 | Gradient Boosting Algorithm for Predicting Methylation States | Dipro Sinha |
| gbeta | 0.1.0 | Generalized Beta and Beta Prime Distributions | Stéphane Laurent |
| gbfs | 1.3.9 | Interface with Live Bikeshare Data | Simon P. Couch |
| gbifdb | 1.0.0 | High Performance Interface to 'GBIF' | Carl Boettiger |
| GBJ | 0.5.4 | Generalized Berk-Jones Test for Set-Based Inference in Genetic
Association Studies | Ryan Sun |
| gbm | 2.1.9 | Generalized Boosted Regression Models | Ridgeway Greg |
| gbm.auto | 2023.08.31 | Automated Boosted Regression Tree Modelling and Mapping Suite | Simon Dedman |
| gbm2sas | 3.0 | Convert GBM Object Trees to SAS Code | John R. Dixon |
| gbmt | 0.1.3 | Group-Based Multivariate Trajectory Modeling | Alessandro Magrini |
| gbp | 0.1.0.4 | A Bin Packing Problem Solver | Guang Yang |
| gbRd | 0.4-11 | Utilities for processing Rd objects and files | Georgi N. Boshnakov |
| gbs2ploidy | 1.0 | Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data | Zachariah Gompert |
| gbts | 1.2.0 | Hyperparameter Search for Gradient Boosted Trees | Waley W. J. Liang |
| gbutils | 0.5 | Utilities for Simulation, Plots, Quantile Functions and
Programming | Georgi N. Boshnakov |
| GCalcium | 1.0.0 | A Data Manipulation and Analysis Package for Calcium Indicator
Data | Andrew Tamalunas |
| GCalignR | 1.0.6 | Simple Peak Alignment for Gas-Chromatography Data | Meinolf Ottensmann |
| gCat | 0.2 | Graph-Based Two-Sample Tests for Categorical Data | Hao Chen |
| gcbd | 0.2.6 | 'GPU'/CPU Benchmarking in Debian-Based Systems | Dirk Eddelbuettel |
| GCCfactor | 1.0.1 | GCC Estimation of the Multilevel Factor Model | Rui Lin |
| GCD | 4.0.7 | Global Charcoal Database | Olivier Blarquez |
| gcdnet | 1.0.6 | The (Adaptive) LASSO and Elastic Net Penalized Least Squares,
Logistic Regression, Hybrid Huberized Support Vector Machines,
Squared Hinge Loss Support Vector Machines and Expectile
Regression using a Fast Generalized Coordinate Descent
Algorithm | Yi Yang |
| gcerisk | 19.05.24 | Generalized Competing Event Model | Hanjie Shen |
| gcite | 0.10.1 | Google Citation Parser | John Muschelli |
| gcKrig | 1.1.8 | Analysis of Geostatistical Count Data using Gaussian Copulas | Zifei Han |
| gclm | 0.0.1 | Graphical Continuous Lyapunov Models | Gherardo Varando |
| gclus | 1.3.2 | Clustering Graphics | Catherine Hurley |
| gcmr | 1.0.3 | Gaussian Copula Marginal Regression | Cristiano Varin |
| gconsensus | 0.3.2 | Consensus Value Constructor | Hugo Gasca-Aragon |
| gcookbook | 2.0 | Data for "R Graphics Cookbook" | Winston Chang |
| GCPBayes | 4.2.0 | Bayesian Meta-Analysis of Pleiotropic Effects Using Group
Structure | Yazdan Asgari |
| gcplyr | 1.9.0 | Wrangle and Analyze Growth Curve Data | Mike Blazanin |
| GCPM | 1.2.2 | Generalized Credit Portfolio Model | Kevin Jakob |
| GCSM | 0.1.1 | Implements Generic Composite Similarity Measure | Yadong Liu |
| gcTensor | 1.0.0 | Generalized Coupled Tensor Factorization | Koki Tsuyuzaki |
| gcxgclab | 1.0.1 | GCxGC Preprocessing and Analysis | Stephanie Gamble |
| GD | 10.3 | Geographical Detectors for Assessing Spatial Factors | Yongze Song |
| GDAdata | 0.93 | Datasets for the Book Graphical Data Analysis with R | Antony Unwin |
| gdalBindings | 0.1.17 | GDAL Classes Wrapper for Reading and Writing Raster Blocks | Caio Hamamura |
| gdalcubes | 0.7.0 | Earth Observation Data Cubes from Satellite Image Collections | Marius Appel |
| gdalraster | 1.10.0 | Bindings to the 'Geospatial Data Abstraction Library' Raster API | Chris Toney |
| gdalUtilities | 1.2.5 | Wrappers for 'GDAL' Utilities Executables | Joshua O'Brien |
| gdata | 3.0.0 | Various R Programming Tools for Data Manipulation | Arni Magnusson |
| GDAtools | 2.1 | Geometric Data Analysis | Nicolas Robette |
| gde | 0.2.1 | GBIF Dataset Explorer | Luis J Villanueva |
| GDELTtools | 1.7 | Download, Slice, and Normalize GDELT V1 Event and Sentiment API
Data | Stephen R. Haptonstahl |
| gdi | 1.5.4 | Volumetric Analysis using Graphic Double Integration | Darius Nau |
| gdiff | 0.2-5 | Graphical Difference Testing | Paul Murrell |
| gdim | 0.1.0 | Estimate Graph Dimension using Cross-Validated Eigenvalues | Alex Hayes |
| GDINA | 2.9.4 | The Generalized DINA Model Framework | Wenchao Ma |
| gdistance | 1.6.4 | Distances and Routes on Geographical Grids | Andrew Marx |
| gdldata | 0.1 | 'Global Data Lab' R API | Aaron van Geffen |
| gdm | 1.5.0-9.1 | Generalized Dissimilarity Modeling | Matt Fitzpatrick |
| gdpc | 1.1.4 | Generalized Dynamic Principal Components | Ezequiel Smucler |
| GDPuc | 0.11.1 | Easily Convert GDP Data | Johannes Koch |
| gds | 0.1.1 | Descriptive Statistics of Grouped Data | Partha Sarathi Bishnu |
| GDSARM | 0.1.1 | Gauss - Dantzig Selector: Aggregation over Random Models | Rakhi Singh |
| gdtools | 0.3.7 | Utilities for Graphical Rendering and Fonts Management | David Gohel |
| gdxdt | 0.1.0 | IO for GAMS GDX Files using 'data.table' | Alois Dirnaichner |
| GE | 0.4.3 | General Equilibrium Modeling | LI Wu |
| gear | 0.3.4 | Geostatistical Analysis in R | Joshua French |
| geboes.score | 1.0.0 | Evaluate the Geboes Score for Histology in Ulcerative Colitis | Bill Denney |
| GEC | 0.1.0 | Generalized Exponentiated Composite Distributions | Bowen Liu |
| gecko | 1.0.0 | Geographical Ecology and Conservation Knowledge Online | Vasco V. Branco |
| GeDS | 0.2.0 | Geometrically Designed Spline Regression | Emilio S. Guillen |
| gee | 4.13-26 | Generalized Estimation Equation Solver | Brian Ripley |
| GEEaSPU | 1.0.2 | Adaptive Association Tests for Multiple Phenotypes using
Generalized Estimating Equations (GEE) | Junghi Kim |
| geeasy | 0.1.1 | Solve Generalized Estimating Equations for Clustered Data | Søren Højsgaard |
| geeCRT | 1.1.3 | Bias-Corrected GEE for Cluster Randomized Trials | Hengshi Yu |
| geecure | 1.0-6 | Marginal Proportional Hazards Mixture Cure Models with
Generalized Estimating Equations | Yi Niu |
| geeM | 0.10.1 | Solve Generalized Estimating Equations | Lee McDaniel |
| GEEmediate | 1.1.4 | Mediation Analysis for Generalized Linear Models Using the
Difference Method | Daniel Nevo |
| geepack | 1.3.10 | Generalized Estimating Equation Package | Søren Højsgaard |
| geesmv | 1.3 | Modified Variance Estimators for Generalized Estimating
Equations | Zheng Li |
| geessbin | 0.1.2 | Modified Generalized Estimating Equations for Binary Outcome | Ryota Ishii |
| geeVerse | 0.1.0 | A Comprehensive Analysis of High Dimensional Longitudinal Data | Tianhai Zu |
| geex | 1.1.1 | An API for M-Estimation | Bradley Saul |
| geigen | 2.3 | Calculate Generalized Eigenvalues, the Generalized Schur
Decomposition and the Generalized Singular Value Decomposition
of a Matrix Pair with Lapack | Berend Hasselman |
| geiger | 2.0.11 | Analysis of Evolutionary Diversification | Luke Harmon |
| GEInfo | 1.0 | Gene-Environment Interaction Analysis Incorporating Prior
Information | Xiaoyan Wang |
| GEInter | 0.3.2 | Robust Gene-Environment Interaction Analysis | Xing Qin |
| gellipsoid | 0.7.3 | Generalized Ellipsoids | Michael Friendly |
| gelnet | 1.2.1 | Generalized Elastic Nets | Artem Sokolov |
| GEmetrics | 1.0.0 | Best Linear Unbiased Prediction of Genotype-by-Environment
Metrics | Simon Rio |
| gemlog | 0.41 | File Conversion for 'Gem Infrasound Logger' | Jake Anderson |
| gemma2 | 0.1.3 | GEMMA Multivariate Linear Mixed Model | Frederick Boehm |
| gems | 1.1.1 | Generalized Multistate Simulation Model | Luisa Salazar Vizcaya |
| gemtc | 1.0-2 | Network Meta-Analysis Using Bayesian Methods | Gert van Valkenhoef |
| gen2stage | 1.0 | Generalized Two-Stage Designs for Phase II Single-Arm Studies | Seongho Kim |
| gen3sis | 1.5.11 | General Engine for Eco-Evolutionary Simulations | Oskar Hagen |
| gen5helper | 1.0.1 | Processing 'Gen5' 2.06 Exported Data | Yanxian Lin |
| gena | 1.0.0 | Genetic Algorithm and Particle Swarm Optimization | Bogdan Potanin |
| GenAI | 0.2.0 | Generative Artificial Intelligence | Li Yuan |
| genalg | 0.2.1 | R Based Genetic Algorithm | Michel Ballings |
| GenAlgo | 2.2.0 | Classes and Methods to Use Genetic Algorithms for Feature
Selection | Kevin R. Coombes |
| genBaRcode | 1.2.7 | Analysis and Visualization Tools for Genetic Barcode Data | Lars Thielecke |
| GenBinomApps | 1.2.1 | Clopper-Pearson Confidence Interval and Generalized Binomial
Distribution | Horst Lewitschnig |
| gencor | 1.0.2 | Generate Customized Correlation Matrices | Helgem de Souza Ribeiro Martins |
| genCountR | 1.0.0 | Interacting with Roberts and Utych's (2019) Gendered Language
Dictionary | Damon Roberts |
| gendata | 1.2.0 | Generate and Modify Synthetic Datasets | Francis Huang |
| gender | 0.6.0 | Predict Gender from Names Using Historical Data | Lincoln Mullen |
| genderBR | 1.1.2 | Predict Gender from Brazilian First Names | Fernando Meireles |
| GenderInfer | 0.1.0 | This is a Collection of Functions to Analyse Gender Differences | Rita Giordano |
| genderstat | 0.1.3 | Quantitative Analysis Tools for Gender Studies | S M Mashrur Arafin Ayon |
| gendist | 2.0 | Generated Probability Distribution Models | Shaiful Anuar Abu Bakar |
| GENEAclassify | 1.5.5 | Segmentation and Classification of Accelerometer Data | Jia Ying Chua |
| GENEAread | 2.0.10 | Package for Reading Binary Files | Jia Ying Chua |
| GeneCycle | 1.1.5 | Identification of Periodically Expressed Genes | Miika Ahdesmaki |
| geneExpressionFromGEO | 0.9 | Easily Downloads a Gene Expression Dataset from a GEO Code and
Retrieves the Gene Symbols of Its Probesets | Davide Chicco |
| GeneF | 1.0.1 | Package for Generalized F-Statistics | Yinglei Lai |
| geneHapR | 1.2.4 | Gene Haplotype Statistics, Phenotype Association and
Visualization | Zhang Renliang |
| geneHummus | 1.0.11 | A Pipeline to Define Gene Families in Legumes and Beyond | Jose V. Die |
| genekitr | 1.2.5 | Gene Analysis Toolkit | Yunze Liu |
| genemodel | 1.1.0 | Gene Model Plotting in R | J Grey Monroe |
| GeneNet | 1.2.16 | Modeling and Inferring Gene Networks | Korbinian Strimmer |
| GeneNMF | 0.4.0 | Non-Negative Matrix Factorization for Single-Cell Omics | Massimo Andreatta |
| genepi | 1.0.3 | Genetic Epidemiology Design and Inference | Venkatraman E. Seshan |
| genepop | 1.2.2 | Population Genetic Data Analysis Using Genepop | François Rousset |
| generalCorr | 1.2.6 | Generalized Correlations, Causal Paths and Portfolio Selection | H. D. Vinod |
| generalhoslem | 1.3.4 | Goodness of Fit Tests for Logistic Regression Models | Matthew Jay |
| GeneralisedCovarianceMeasure | 0.2.0 | Test for Conditional Independence Based on the Generalized
Covariance Measure (GCM) | Jonas Peters |
| GeneralizedHyperbolic | 0.8-6 | The Generalized Hyperbolic Distribution | David Scott |
| GeneralizedUmatrix | 1.2.6 | Credible Visualization for Two-Dimensional Projections of Data | Michael Thrun |
| GeneralizedWendland | 0.6.0 | Fully Parameterized Generalized Wendland Covariance Function | Thomas C. Fischer |
| GeneralOaxaca | 1.0 | Blinder-Oaxaca Decomposition for Generalized Linear Model | Aurelien Nicosia |
| generator | 0.1.0 | Generate Data Containing Fake Personally Identifiable
Information | Paul Hendricks |
| GenericML | 0.2.2 | Generic Machine Learning Inference | Max Welz |
| generics | 0.1.3 | Common S3 Generics not Provided by Base R Methods Related to
Model Fitting | Hadley Wickham |
| genero | 0.1.0 | Estimate Gender from Names in Spanish and Portuguese | Juan Pablo Marin Diaz |
| GeneScape | 1.0 | Simulation of Single Cell RNA-Seq Data with Complex Structure | Qi Gao |
| GeneSelectR | 1.0.1 | 'GeneSelectR' - Comprehensive Feature Selection Workflow for
Bulk RNAseq Datasets | Damir Zhakparov |
| geneset | 0.2.7 | Get Gene Sets for Gene Enrichment Analysis | Yunze Liu |
| geneSLOPE | 0.38.2 | Genome-Wide Association Study with SLOPE | Piotr Sobczyk |
| GenEst | 1.4.9 | Generalized Mortality Estimator | Daniel Dalthorp |
| genesysr | 2.1.1 | Genesys PGR Client | Matija Obreza |
| genetic.algo.optimizeR | 0.2.6 | Genetic Algorithm Optimization | Dany Mukesha |
| geneticae | 0.4.0 | Statistical Tools for the Analysis of Multi Environment
Agronomic Trials | Julia Angelini |
| genetics | 1.3.8.1.3 | Population Genetics | Gregory Warnes |
| GeneticSubsetter | 0.8 | Identify Favorable Subsets of Germplasm Collections | Ryan C. Graebner |
| GeNetIt | 0.1-6 | Spatial Graph-Theoretic Genetic Gravity Modelling | Jeffrey S. Evans |
| genie | 1.0.5 | Fast, Robust, and Outlier Resistant Hierarchical Clustering | Marek Gagolewski |
| genieBPC | 1.1.1 | Project GENIE BioPharma Collaborative Data Processing Pipeline | Jessica A. Lavery |
| genieclust | 1.1.5-2 | Fast and Robust Hierarchical Clustering with Noise Points
Detection | Marek Gagolewski |
| genio | 1.1.2 | Genetics Input/Output Functions | Alejandro Ochoa |
| geniusr | 1.2.1 | Tools for Working with the 'Genius' API | Ewen Henderson |
| genlasso | 1.6.1 | Path Algorithm for Generalized Lasso Problems | Taylor B. Arnold |
| GENLIB | 1.1.10 | Genealogical Data Analysis | Marie-Helene Roy-Gagnon |
| genlogis | 1.0.2 | Generalized Logistic Distribution | Eduardo Hellas |
| GenMarkov | 0.2.0 | Multivariate Markov Chains | Carolina Vasconcelos |
| GENMETA | 0.2.0 | Implements Generalized Meta-Analysis Using Iterated Reweighted
Least Squares Algorithm | Prosenjit Kundu <28pkundu1992 at gmail.com> |
| geno2proteo | 0.0.6 | Finding the DNA and Protein Sequences of Any Genomic or
Proteomic Loci | Yaoyong Li |
| genodds | 1.1.2 | Generalised Odds Ratios | Hannah Johns |
| genogeographer | 0.1.19 | Methods for Analysing Forensic Ancestry Informative Markers | Torben Tvedebrink |
| GenomeAdmixR | 2.1.7 | Simulate Admixture of Genomes | Thijs Janzen |
| genomic.autocorr | 1.0-1 | Models Dealing with Spatial Dependency in Genomic Data | Chris Wallace |
| genomicper | 1.7 | Circular Genomic Permutation using Genome Wide Association
p-Values | Claudia P Cabrera |
| GenomicTools.fileHandler | 0.1.5.9 | File Handlers for Genomic Data Analysis | Daniel Fischer |
| genoPlotR | 0.8.11 | Plot Publication-Grade Gene and Genome Maps | Lionel Guy |
| GenOrd | 1.4.0 | Simulation of Discrete Random Variables with Given Correlation
Matrix and Marginal Distributions | Alessandro Barbiero |
| GenoScan | 0.1 | A Genome-Wide Scan Statistic Framework for Whole-Genome Sequence
Data Analysis | Zihuai He |
| GenoTriplo | 1.0.4 | Genotyping Triploids (or Diploids) from Luminescence Data | Julien Roche |
| genpathmox | 1.1 | Pathmox Approach Segmentation Tree Analysis | Giuseppe Lamberti |
| genpwr | 1.0.4 | Power Calculations Under Genetic Model Misspecification | Camille Moore |
| genridge | 0.7.0 | Generalized Ridge Trace Plots for Ridge Regression | Michael Friendly |
| GenSA | 1.1.14 | R Functions for Generalized Simulated Annealing | Sylvain Gubian |
| genscore | 1.0.2.2 | Generalized Score Matching Estimators | Shiqing Yu |
| genSEIR | 0.1.1 | Predict Epidemic Curves with Generalized SEIR Modeling | Selcuk Korkmaz |
| genset | 0.1.0 | Generates Data Sets for Class Demonstrations | Lori Murray |
| gensphere | 1.3 | Generalized Spherical Distributions | John P Nolan |
| genstab | 1.0.0 | Resampling Based Yield Stability Analyses | Jixiang Wu |
| genSurv | 1.0.4 | Generating Multi-State Survival Data | Artur Araujo |
| gensvm | 0.1.7 | A Generalized Multiclass Support Vector Machine | Gertjan van den Burg |
| GenTag | 1.0 | Generate Color Tag Sequences | Carlos Biagolini-Jr. |
| genTS | 0.1.4 | R Shiny App for Creating Simplified Trial Summary (TS) Domain | Hanming Tu |
| GenTwoArmsTrialSize | 0.0.5 | Generalized Two Arms Clinical Trial Sample Size Calculation | Chel Hee Lee |
| GenWin | 1.0 | Spline Based Window Boundaries for Genomic Analyses | Timothy M. Beissinger |
| GeoAdjust | 2.0.0 | Accounting for Random Displacements of True GPS Coordinates of
Data | Umut Altay |
| geoAr | 1.0.0 | Argentina's Spatial Data Toolbox | Juan Pablo Ruiz Nicolini |
| geoBayes | 0.7.3 | Analysis of Geostatistical Data using Bayes and Empirical Bayes
Methods | Evangelos Evangelou |
| geobr | 1.8.2 | Download Official Spatial Data Sets of Brazil | Rafael H. M. Pereira |
| geocacheR | 0.1.0 | Tools for Geocaching | Alun Hewinson |
| geocausal | 0.3.0 | Causal Inference with Spatio-Temporal Data | Mitsuru Mukaigawara |
| geocmeans | 0.3.4 | Implementing Methods for Spatial Fuzzy Unsupervised
Classification | Jeremy Gelb |
| geodaData | 0.1.0 | Spatial Analysis Datasets for Teaching | Angela Li |
| geodata | 0.5-9 | Download Geographic Data | Robert J. Hijmans |
| geodimension | 2.0.0 | Definition of Geographic Dimensions | Jose Samos |
| geodist | 0.0.8 | Fast, Dependency-Free Geodesic Distance Calculations | Mark Padgham |
| geodiv | 1.1.0 | Methods for Calculating Gradient Surface Metrics | Annie C. Smith |
| geodrawr | 2.0.0 | Making Geospatial Objects | Heoncheol Ha |
| GeodRegr | 0.2.0 | Geodesic Regression | Ha-Young Shin |
| geoelectrics | 0.2.2 | 3D-Visualization of Geoelectric Resistivity Measurement Profiles | Anja Kleebaum |
| geofacet | 0.2.1 | 'ggplot2' Faceting Utilities for Geographical Data | Ryan Hafen |
| geofi | 1.0.15 | Access Finnish Geospatial Data | Markus Kainu |
| geoFKF | 0.1.1 | Kriging Method for Spatial Functional Data | Gilberto Sassi |
| geoFourierFDA | 0.1.0 | Ordinary Functional Kriging Using Fourier Smoothing and Gaussian
Quadrature | Gilberto Sassi |
| geoGAM | 0.1-3 | Select Sparse Geoadditive Models for Spatial Prediction | Madlene Nussbaum |
| geogenr | 2.0.1 | Generator from American Community Survey Geodatabases | Jose Samos |
| geogrid | 0.1.2 | Turn Geospatial Polygons into Regular or Hexagonal Grids | Ryan Hafen |
| geohabnet | 2.1.2 | Geographical Risk Analysis Based on Habitat Connectivity | Krishna Keshav |
| geohashTools | 0.3.3 | Tools for Working with Geohashes | Michael Chirico |
| geojson | 0.3.5 | Classes for 'GeoJSON' | Michael Sumner |
| geojsonio | 0.11.3 | Convert Data from and to 'GeoJSON' or 'TopoJSON' | Michael Mahoney |
| geojsonR | 1.1.1 | A GeoJson Processing Toolkit | Lampros Mouselimis |
| geojsonsf | 2.0.3 | GeoJSON to Simple Feature Converter | David Cooley |
| geomander | 2.3.0 | Geographic Tools for Studying Gerrymandering | Christopher T. Kenny |
| GEOmap | 2.5-5 | Topographic and Geologic Mapping | Jonathan M. Lees |
| geomapdata | 2.0-2 | Data for Topographic and Geologic Mapping | Jonathan M. Lees |
| geomaroc | 0.1.1 | Easily Visualize Geographic Data of Morocco | Amine Andam |
| GeomComb | 1.0 | (Geometric) Forecast Combination Methods | Christoph E. Weiss |
| geomerge | 0.3.4 | Geospatial Data Integration | Karsten Donnay |
| geometa | 0.7-1 | Tools for Reading and Writing ISO/OGC Geographic Metadata | Emmanuel Blondel |
| geometries | 0.2.4 | Convert Between R Objects and Geometric Structures | David Cooley |
| geometry | 0.4.7 | Mesh Generation and Surface Tessellation | David C. Sterratt |
| geomod | 0.1.0 | A Computer Program for Geotechnical Investigations | Festus Ngeno |
| GeoModels | 2.0.0 | Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis | Moreno Bevilacqua |
| GeoMongo | 1.0.3 | Geospatial Queries Using 'PyMongo' | Lampros Mouselimis |
| geomorph | 4.0.7 | Geometric Morphometric Analyses of 2D and 3D Landmark Data | Dean Adams |
| geomtextpath | 0.1.3 | Curved Text in 'ggplot2' | Allan Cameron |
| geomultistar | 1.2.1 | Multidimensional Queries Enriched with Geographic Data | Jose Samos |
| geonames | 0.999 | Interface to the "Geonames" Spatial Query Web Service | Barry Rowlingson |
| geonapi | 0.7-2 | 'GeoNetwork' API R Interface | Emmanuel Blondel |
| geonetwork | 0.5.0 | Geographic Networks | Facundo Muñoz |
| geoperu | 0.0.0.2 | Download Spatial Datasets of Peru | Paul E. Santos Andrade |
| geoR | 1.9-4 | Analysis of Geostatistical Data | Paulo Justiniano Ribeiro Jr |
| GeoRange | 0.1.0 | Calculating Geographic Range from Occurrence Data | James Boyle Developer |
| georefdatar | 0.6.5 | Geosciences Reference Datasets | Gerald Schuberth-Hlavač |
| georob | 0.3-19 | Robust Geostatistical Analysis of Spatial Data | Andreas Papritz |
| geos | 0.2.4 | Open Source Geometry Engine ('GEOS') R API | Dewey Dunnington |
| geoSAE | 0.1.0 | Geoadditive Small Area Model | Ketut Karang Pradnyadika <221709776 at stis.ac.id> |
| geosapi | 0.7-1 | GeoServer REST API R Interface | Emmanuel Blondel |
| geoscale | 2.0.1 | Geological Time Scale Plotting | Mark A. Bell |
| geosed | 0.1.1 | Smallest Enclosing Disc for Latitude and Longitude Points | Shant Sukljian |
| geosimilarity | 2.2 | Geographically Optimal Similarity | Yongze Song |
| geospark | 0.3.1 | Bring Local Sf to Spark | Harry Zhu <7harryprince at gmail.com> |
| geosphere | 1.5-18 | Spherical Trigonometry | Robert J. Hijmans |
| geospt | 1.0-4 | Geostatistical Analysis and Design of Optimal Spatial Sampling
Networks | Ali Santacruz |
| geosptdb | 1.0-1 | Spatio-Temporal Radial Basis Functions with Distance-Based
Methods (Optimization, Prediction and Cross Validation) | Carlos Melo |
| geostan | 0.5.4 | Bayesian Spatial Analysis | Connor Donegan |
| geostats | 1.6 | An Introduction to Statistics for Geoscientists | Pieter Vermeesch |
| geostatsp | 2.0.6 | Geostatistical Modelling with Likelihood and Bayes | Patrick Brown |
| geotools | 0.1 | Geo tools | Antoine Lucas |
| geotopbricks | 1.5.8.2 | An R Plug-in for the Distributed Hydrological Model GEOtop | Emanuele Cordano |
| geoTS | 0.1.8 | Methods for Handling and Analyzing Time Series of Satellite
Images | Inder Tecuapetla-Gómez
|
| geouy | 0.2.8 | Geographic Information of Uruguay | Richard Detomasi |
| geovol | 1.0 | Geopolitical Volatility (GEOVOL) Modelling | Susana Campos-Martins |
| GeoWeightedModel | 1.0.3 | User-Friendly Interface for Geographically-Weighted Models | Javier De La Hoz Maestre |
| geozoo | 0.5.1 | Zoo of Geometric Objects | Barret Schloerke |
| gepaf | 0.1.1 | Google Encoded Polyline Algorithm Format | Timothée Giraud |
| gerbil | 0.1.9 | Generalized Efficient Regression-Based Imputation with Latent
Processes | Michael Robbins |
| GerminaR | 2.1.4 | Indices and Graphics for Assess Seed Germination Process | Flavio Lozano-Isla |
| germinationmetrics | 0.1.8 | Seed Germination Indices and Curve Fitting | J. Aravind |
| gert | 2.0.1 | Simple Git Client for R | Jeroen Ooms |
| GESE | 2.0.1 | Gene-Based Segregation Test | Dandi Qiao |
| gesisdata | 0.1.2 | Reproducible Data Retrieval from the GESIS Data Archive | Frederick Solt |
| geslaR | 1.0-1 | Get and Manipulate the GESLA Dataset | Fernando Mayer |
| gesso | 1.0.2 | Hierarchical GxE Interactions in a Regularized Regression Model | Natalia Zemlianskaia |
| gestalt | 0.2.0 | Tools for Making and Combining Functions | Eugene Ha |
| gestate | 1.6.0 | Generalised Survival Trial Assessment Tool Environment | James Bell |
| gesttools | 1.3.0 | General Purpose G-Estimation for End of Study or Time-Varying
Outcomes | Daniel Tompsett |
| GET | 1.0 | Global Envelopes | Mari Myllymäki |
| getable | 1.0.3 | Fetching Tabular Data "Onload" in Compiled R Markdown HTML
Documents | Yongfu Liao |
| GetBCBData | 0.7.0 | Imports Datasets from BCB (Central Bank of Brazil) using Its
Official API | Marcelo Perlin |
| GETdesigns | 1.2.0 | Generalized Extended Triangular Designs ('GETdesigns') | Ashutosh Dalal |
| GetDFPData | 1.6 | Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA
System | Marcelo Perlin |
| GetDFPData2 | 0.6.3 | Reading Annual and Quarterly Financial Reports from B3 | Marcelo Perlin |
| getDTeval | 0.0.2 | Translating Coding Statements using get() and eval() for
Improved Run-Time Coding Efficiency | Mayur Bansal |
| GetFREData | 0.8.1 | Reading FRE Corporate Data of Public Traded Companies from B3 | Marcelo Perlin |
| getip | 0.1-4 | 'IP' Address 'Lookup' | Drew Schmidt |
| getLattes | 0.2.0 | Import and Process Data from the 'Lattes' Curriculum Platform | Roney Fraga Souza |
| GetLattesData | 1.4.3 | Reading Bibliometric Data from Lattes Platform | Marcelo Perlin |
| getmstatistic | 0.2.2 | Quantifying Systematic Heterogeneity in Meta-Analysis | Lerato E Magosi |
| getopt | 1.20.4 | C-Like 'getopt' Behavior | Trevor L Davis |
| GetoptLong | 1.0.5 | Parsing Command-Line Arguments and Simple Variable Interpolation | Zuguang Gu |
| getPass | 0.2-4 | Masked User Input | Drew Schmidt |
| getProxy | 1.13 | Get Free Proxy IP and Port | Alexey Seleznev |
| GetQuandlData | 1.0.0 | Fast and Cached Import of Data from 'Quandl' Using the 'json
API' | Marcelo S. Perlin |
| gets | 0.37 | General-to-Specific (GETS) Modelling and Indicator Saturation
Methods | Genaro Sucarrat |
| getspanel | 0.2.0 | General-to-Specific Modelling of Panel Data | Moritz Schwarz |
| getspres | 0.2.0 | SPRE Statistics for Exploring Heterogeneity in Meta-Analysis | Lerato E Magosi |
| GetTDData | 1.5.4 | Get Data for Brazilian Bonds (Tesouro Direto) | Marcelo Perlin |
| gettz | 0.0.5 | Get the Timezone Information | Dirk Eddelbuettel |
| getwiki | 0.9.0 | R Wrapper for Wikipedia Data | Corydon Baylor |
| GEVACO | 1.0.1 | Joint Test of Gene and GxE Interactions via Varying Coefficients | Sydney Manning |
| GEVcdn | 1.1.6-2 | GEV Conditional Density Estimation Network | Alex J. Cannon |
| gexp | 1.0-21 | Generator of Experiments | Ivan Bezerra Allaman |
| geysertimes | 0.1.9 | Geyser Data from GeyserTimes.org | Stephen Kaluzny |
| GFA | 1.0.5 | Group Factor Analysis | Eemeli Leppäaho |
| gfboost | 0.1.1 | Gradient-Free Gradient Boosting | Tino Werner |
| gfcanalysis | 1.8.0 | Tools for Working with Hansen et al. Global Forest Change
Dataset | Matthew Cooper |
| GFD | 0.3.3 | Tests for General Factorial Designs | Sarah Friedrich |
| GFDmcv | 0.1.0 | General Hypothesis Testing Problems for Multivariate
Coefficients of Variation | Lukasz Smaga |
| GFDrmst | 0.1.0 | Multiple RMST-Based Tests in General Factorial Designs | Merle Munko |
| GFDsurv | 0.1.1 | Tests for Survival Data in General Factorial Designs | Merle Munko |
| GFE | 0.1.1 | Gross Flows Estimation under Complex Surveys | Acero William |
| gfer | 0.1.12 | Green Finance and Environmental Risk | Yuanchao Xu |
| GFGM.copula | 1.0.4 | Generalized Farlie-Gumbel-Morgenstern Copula | Jia-Han Shih |
| gfiExtremes | 1.0.1 | Generalized Fiducial Inference for Extremes | Stéphane Laurent |
| gfilmm | 2.0.5 | Generalized Fiducial Inference for Normal Linear Mixed Models | Stéphane Laurent |
| gfilogisreg | 1.0.3 | Generalized Fiducial Inference for Binary Logistic Regression
Models | Stéphane Laurent |
| GFisher | 0.2.0 | Generalized Fisher's Combination Tests Under Dependence | Hong Zhang |
| gfiUltra | 1.0.0 | Generalized Fiducial Inference for Ultrahigh-Dimensional
Regression | Stéphane Laurent |
| GFM | 1.2.1 | Generalized Factor Model | Wei Liu |
| gfonts | 0.2.0 | Offline 'Google' Fonts for 'Markdown' and 'Shiny' | Victor Perrier |
| gfoRmula | 1.0.4 | Parametric G-Formula | Sean McGrath |
| gFormulaMI | 1.0.0 | G-Formula for Causal Inference via Multiple Imputation | Jonathan Bartlett |
| gg.gap | 1.3 | Define Segments in y-Axis for 'ggplot2' | Jiacheng Lou |
| ggaligner | 0.1 | Visualizing Sequence Alignment by Generating Publication-Ready
Plots | Mohamed Soudy |
| ggalignment | 1.0.1 | Plots 'D&D'-Style Alignment Charts | Afton Coombs |
| ggallin | 0.1.1 | Grab Bag of 'ggplot2' Functions | Steven E. Pav |
| ggalluvial | 0.12.5 | Alluvial Plots in 'ggplot2' | Jason Cory Brunson |
| GGally | 2.2.1 | Extension to 'ggplot2' | Barret Schloerke |
| ggalt | 0.4.0 | Extra Coordinate Systems, 'Geoms', Statistical Transformations,
Scales and Fonts for 'ggplot2' | Bob Rudis |
| ggamma | 1.0.1 | Generalized Gamma Probability Distribution | Matheus H. J. Saldanha |
| gganimate | 1.0.9 | A Grammar of Animated Graphics | Thomas Lin Pedersen |
| ggarchery | 0.4.3 | Flexible Segment Geoms with Arrows for 'ggplot2' | Matthew Hall |
| ggautomap | 0.3.2 | Create Maps from a Column of Place Names | Carl Suster |
| ggbeeswarm | 0.7.2 | Categorical Scatter (Violin Point) Plots | Erik Clarke |
| ggbiplot | 0.6.2 | A Grammar of Graphics Implementation of Biplots | Michael Friendly |
| ggblanket | 7.0.0 | Simplify 'ggplot2' Visualisation | David Hodge |
| ggblend | 0.1.0 | Blending and Compositing Algebra for 'ggplot2' | Matthew Kay |
| ggborderline | 0.2.0 | Line Plots that Pop | Jacob Scott |
| ggbrace | 0.1.1 | Curly Braces for 'ggplot2' | Nicolas Huber |
| ggbrain | 0.8.1 | Create Images of Volumetric Brain Data in NIfTI Format Using
'ggplot2' Syntax | Michael Hallquist |
| ggbreak | 0.1.2 | Set Axis Break for 'ggplot2' | Guangchuang Yu |
| ggbrick | 0.3.0 | Waffle Style Chart with a Brick Layout in 'ggplot2' | Daniel Oehm |
| ggBubbles | 0.1.4 | Mini Bubble Plots for Comparison of Discrete Data with 'ggplot2' | Thomas Schwarzl |
| ggbuildr | 0.1.0 | Save Incremental Builds of Plots | Jongbin Jung |
| ggbump | 0.1.0 | Bump Chart and Sigmoid Curves | David Sjoberg |
| ggchangepoint | 0.1.0 | Combines Changepoint Analysis with 'ggplot2' | Youzhi Yu |
| ggcharts | 0.2.1 | Shorten the Distance from Data Visualization Idea to Actual Plot | Thomas Neitmann |
| ggChernoff | 0.3.0 | Chernoff Faces for 'ggplot2' | David Selby |
| GGClassification | 0.1 | Gabriel Graph Based Large-Margin Classifiers | Felipe Campos |
| ggcleveland | 0.1.0 | Implementation of Plots from Cleveland's Visualizing Data Book | Marcos Prunello |
| ggcorrplot | 0.1.4.1 | Visualization of a Correlation Matrix using 'ggplot2' | Alboukadel Kassambara |
| ggcorset | 0.5.0 | The Corset Plot | Kyla Belisario |
| ggdag | 0.2.12 | Analyze and Create Elegant Directed Acyclic Graphs | Malcolm Barrett |
| ggdark | 0.2.1 | Dark Mode for 'ggplot2' Themes | Neal Grantham |
| ggdemetra | 0.2.8 | 'ggplot2' Extension for Seasonal and Trading Day Adjustment with
'RJDemetra' | Alain Quartier-la-Tente |
| ggdendro | 0.2.0 | Create Dendrograms and Tree Diagrams Using 'ggplot2' | Andrie de Vries |
| ggdensity | 1.0.0 | Interpretable Bivariate Density Visualization with 'ggplot2' | James Otto |
| ggdist | 3.3.2 | Visualizations of Distributions and Uncertainty | Matthew Kay |
| ggdmc | 0.2.6.0 | Cognitive Models | Yi-Shin Lin |
| ggDoE | 0.8 | Modern Graphs for Design of Experiments with 'ggplot2' | Jose Toledo Luna |
| ggDoubleHeat | 0.1.2 | A Heatmap-Like Visualization Tool | Youzhi Yu |
| gge | 1.8 | Genotype Plus Genotype-by-Environment Biplots | Kevin Wright |
| ggeasy | 0.1.4 | Easy Access to 'ggplot2' Commands | Jonathan Carroll |
| GGEBiplots | 0.1.3 | GGE Biplots with 'ggplot2' | Sam Dumble |
| ggedit | 0.4.1 | Interactive 'ggplot2' Layer and Theme Aesthetic Editor | Jonathan Sidi |
| ggeffects | 1.5.1 | Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs | Daniel Lüdecke |
| ggenealogy | 1.0.3 | Visualization Tools for Genealogical Data | Lindsay Rutter |
| ggESDA | 0.2.0 | Exploratory Symbolic Data Analysis with 'ggplot2' | Bo-Syue Jiang |
| ggetho | 0.3.7 | Visualisation of High-Throughput Behavioural (i.e. Ethomics)
Data | Quentin Geissmann |
| ggExtra | 0.10.1 | Add Marginal Histograms to 'ggplot2', and More 'ggplot2'
Enhancements | Dean Attali |
| ggfacto | 0.3.0 | Graphs for Correspondence Analysis | Brice Nocenti |
| ggfields | 0.0.6 | Add Vector Field Layers to Ggplots | Pepijn de Vries |
| ggFishPlots | 0.2.2 | Visualise and Calculate Life History Parameters for Fisheries
Science using 'ggplot2' | Mikko Vihtakari |
| ggfittext | 0.10.2 | Fit Text Inside a Box in 'ggplot2' | David Wilkins |
| ggfixest | 0.1.0 | Dedicated 'ggplot2' Methods for 'fixest' Objects | Grant McDermott |
| ggflowchart | 1.0.0 | Flowcharts with 'ggplot2' | Nicola Rennie |
| ggfocus | 1.0.0 | Scales that Focus Specific Levels in your ggplot() | Victor Freguglia |
| ggforce | 0.4.2 | Accelerating 'ggplot2' | Thomas Lin Pedersen |
| ggformula | 0.12.0 | Formula Interface to the Grammar of Graphics | Randall Pruim |
| ggfortify | 0.4.16 | Data Visualization Tools for Statistical Analysis Results | Yuan Tang |
| ggfun | 0.1.4 | Miscellaneous Functions for 'ggplot2' | Guangchuang Yu |
| ggfx | 1.0.1 | Pixel Filters for 'ggplot2' and 'grid' | Thomas Lin Pedersen |
| gggap | 1.0.1 | Streamlined Creation of Segments on the Y-Axis of 'ggplot2'
Plots | Carlos Morales |
| gggenes | 0.5.1 | Draw Gene Arrow Maps in 'ggplot2' | David Wilkins |
| ggghost | 0.2.1 | Capture the Spirit of Your 'ggplot2' Calls | Jonathan Carroll |
| gggibbous | 0.1.1 | Moon Charts, a Pie Chart Alternative | Michael Bramson |
| gggrid | 0.2-0 | Draw with 'grid' in 'ggplot2' | Paul Murrell |
| ggh4x | 0.2.8 | Hacks for 'ggplot2' | Teun van den Brand |
| gghalfnorm | 1.1.2 | Create a Half Normal Plot Using 'ggplot2' | Nathan Eastwood |
| gghalves | 0.1.4 | Compose Half-Half Plots Using Your Favourite Geoms | Frederik Tiedemann |
| gghdx | 0.1.2 | HDX Theme, Scales, and Other Conveniences for 'ggplot2' | Seth Caldwell |
| ggheatmap | 2.2 | Plot Heatmap | Baiwei Luo <2734782653 at qq.com> |
| gghighlight | 0.4.1 | Highlight Lines and Points in 'ggplot2' | Hiroaki Yutani |
| gghilbertstrings | 0.3.3 | A Fast 'ggplot2'-Based Implementation of Hilbert Curves | André Calero Valdez |
| gghist | 0.1.0 | Plot the Histogram of a Numeric Vector | Frederik Ziebell |
| ggHoriPlot | 1.0.1 | Horizon Plots for 'ggplot2' | Iker Rivas-González |
| ggimage | 0.3.3 | Use Image in 'ggplot2' | Guangchuang Yu |
| ggimg | 0.1.2 | Graphics Layers for Plotting Image Data with 'ggplot2' | Taylor B. Arnold |
| gginference | 0.1.3 | Visualise the Results of Inferential Statistics using 'ggplot2' | Kleanthis Koupidis |
| gginnards | 0.1.2 | Explore the Innards of 'ggplot2' Objects | Pedro J. Aphalo |
| ggip | 0.3.2 | Data Visualization for IP Addresses and Networks | David Hall |
| GGIR | 3.0-9 | Raw Accelerometer Data Analysis | Vincent T van Hees |
| ggiraph | 0.8.9 | Make 'ggplot2' Graphics Interactive | David Gohel |
| ggiraphExtra | 0.3.0 | Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph' | Keon-Woong Moon |
| GGIRread | 1.0.0 | Wearable Accelerometer Data File Readers | Vincent T van Hees |
| ggisotonic | 0.1.2 | 'ggplot2' Friendly Isotonic or Monotonic Regression Curves | Komala Sheshachala Srikanth |
| ggjoy | 0.4.1 | Joyplots in 'ggplot2' | Claus O. Wilke |
| gglasso | 1.5.1 | Group Lasso Penalized Learning Using a Unified BMD Algorithm | Yi Yang |
| gglgbtq | 0.1.1 | Show Pride on 'ggplot2' Plots | Laura Bakala |
| gglm | 1.0.3 | Grammar of Graphics for Linear Model Diagnostic Plots | Grayson White |
| gglorenz | 0.0.2 | Plotting Lorenz Curve with the Blessing of 'ggplot2' | JJ Chen |
| ggm | 2.5.1 | Graphical Markov Models with Mixed Graphs | Giovanni M. Marchetti |
| ggmap | 4.0.0 | Spatial Visualization with ggplot2 | David Kahle |
| ggmapinset | 0.3.0 | Add Inset Panels to Maps | Carl Suster |
| ggmatplot | 0.1.2 | Plot Columns of Two Matrices Against Each Other Using 'ggplot2' | Xuan Liang |
| ggmcmc | 1.5.1.1 | Tools for Analyzing MCMC Simulations from Bayesian Inference | Xavier Fernández i Marín |
| ggmice | 0.1.0 | Visualizations for 'mice' with 'ggplot2' | Hanne Oberman |
| ggmix | 0.0.2 | Variable Selection in Linear Mixed Models for SNP Data | Sahir Bhatnagar |
| GGMncv | 2.1.1 | Gaussian Graphical Models with Nonconvex Regularization | Donald Williams |
| GGMnonreg | 1.0.0 | Non-Regularized Gaussian Graphical Models | Donald Williams |
| ggmosaic | 0.3.3 | Mosaic Plots in the 'ggplot2' Framework | Haley Jeppson |
| ggmr | 0.1.1 | Generalized Gauss Markov Regression | Hugo Gasca-Aragon |
| GGMridge | 1.4 | Gaussian Graphical Models Using Ridge Penalty Followed by
Thresholding and Reestimation | Shannon T. Holloway |
| GGMselect | 0.1-12.7 | Gaussian Graphs Models Selection | Benjamin Auder |
| ggmuller | 0.5.6 | Create Muller Plots of Evolutionary Dynamics | Robert Noble |
| ggmulti | 1.0.7 | High Dimensional Data Visualization | Zehao Xu |
| ggnetwork | 0.5.13 | Geometries to Plot Networks with 'ggplot2' | François Briatte |
| ggnewscale | 0.4.10 | Multiple Fill and Colour Scales in 'ggplot2' | Elio Campitelli |
| ggnormalviolin | 0.1.2 | A 'ggplot2' Extension to Make Normal Violin Plots | W. Joel Schneider |
| ggnuplot | 0.1.0 | Make 'ggplot2' Look Like 'gnuplot' | Hannes Riebl |
| ggOceanMaps | 2.2.0 | Plot Data on Oceanographic Maps using 'ggplot2' | Mikko Vihtakari |
| ggokabeito | 0.1.0 | 'Okabe-Ito' Scales for 'ggplot2' and 'ggraph' | Malcolm Barrett |
| ggordiplots | 0.4.3 | Make 'ggplot2' Versions of Vegan's Ordiplots | John Quensen |
| GGoutlieR | 1.0.2 | Identify Individuals with Unusual Geo-Genetic Patterns | Che-Wei Chang |
| ggpackets | 0.2.1 | Package Plot Layers for Easier Portability and Modularization | Doug Kelkhoff |
| ggpage | 0.2.3 | Creates Page Layout Visualizations | Emil Hvitfeldt |
| ggparallel | 0.4.0 | Variations of Parallel Coordinate Plots for Categorical Data | Heike Hofmann |
| ggparliament | 2.0.0 | Parliament Plots | Robert Hickman |
| ggparty | 1.0.0 | 'ggplot' Visualizations for the 'partykit' Package | Martin Borkovec |
| ggpath | 1.0.1 | Robust Image Rendering Support for 'ggplot2' | Sebastian Carl |
| ggpattern | 1.0.1 | 'ggplot2' Pattern Geoms | Trevor L Davis |
| ggpcp | 0.2.0 | Parallel Coordinate Plots in the 'ggplot2' Framework | Heike Hofmann |
| ggperiodic | 1.0.3 | Easy Plotting of Periodic Data with 'ggplot2' | Elio Campitelli |
| ggpicrust2 | 1.7.3 | Make 'PICRUSt2' Output Analysis and Visualization Easier | Chen Yang |
| ggpie | 0.2.5 | Pie, Donut and Rose Pie Plots | Yabing Song |
| ggplate | 0.1.1 | Create Layout Plots of Biological Culture Plates and Microplates | Jan-Philipp Quast |
| ggplot.multistats | 1.0.0 | Multiple Summary Statistics for Binned Stats/Geometries | Philipp Angerer |
| ggplot2 | 3.5.0 | Create Elegant Data Visualisations Using the Grammar of Graphics | Thomas Lin Pedersen |
| ggplot2.utils | 0.3.1 | Selected Utilities Extending 'ggplot2' | Daniel Sabanés Bové |
| ggplot2movies | 0.0.1 | Movies Data | Hadley Wickham |
| ggplotAssist | 0.1.3 | 'RStudio' Addin for Teaching and Learning 'ggplot2' | Keon-Woong Moon |
| ggplotgui | 1.0.0 | Create Ggplots via a Graphical User Interface | Gert Stulp |
| ggplotify | 0.1.2 | Convert Plot to 'grob' or 'ggplot' Object | Guangchuang Yu |
| ggplotlyExtra | 0.0.1 | Extra Convenience Functions for 'Plotly' | Omar I. Elashkar |
| ggpmisc | 0.5.5 | Miscellaneous Extensions to 'ggplot2' | Pedro J. Aphalo |
| ggPMX | 1.2.11 | 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models | Matthew Fidler |
| ggpointdensity | 0.1.0 | A Cross Between a 2D Density Plot and a Scatter Plot | Lukas P. M. Kremer |
| ggpointless | 0.1.0 | Additional Geometries and Stats for 'ggplot2' | Markus Döring |
| ggpol | 0.0.7 | Visualizing Social Science Data with 'ggplot2' | Frederik Tiedemann |
| ggpolar | 0.2.2 | Dots and Their Connections in Polar Coordinate System | Shixiang Wang |
| ggpolypath | 0.3.0 | Polygons with Holes for the Grammar of Graphics | Michael D. Sumner |
| ggpp | 0.5.6 | Grammar Extensions to 'ggplot2' | Pedro J. Aphalo |
| ggprism | 1.0.5 | A 'ggplot2' Extension Inspired by 'GraphPad Prism' | Charlotte Dawson |
| ggpubr | 0.6.0 | 'ggplot2' Based Publication Ready Plots | Alboukadel Kassambara |
| ggpval | 0.2.5 | Annotate Statistical Tests for 'ggplot2' | Jun Cheng |
| ggQC | 0.0.31 | Quality Control Charts for 'ggplot' | Kenith Grey |
| ggQQunif | 0.1.5 | Compare Big Datasets to the Uniform Distribution | Robert Corty |
| ggquickeda | 0.3.1 | Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary
Tables | Samer Mouksassi |
| ggquiver | 0.3.3 | Quiver Plots for 'ggplot2' | Mitchell O'Hara-Wild |
| ggragged | 0.1.0 | Ragged Grids for 'ggplot2' | Mikko Marttila |
| ggrain | 0.0.4 | A Rainclouds Geom for 'ggplot2' | Nicholas Judd |
| ggRandomForests | 2.2.1 | Visually Exploring Random Forests | John Ehrlinger |
| ggraph | 2.2.1 | An Implementation of Grammar of Graphics for Graphs and Networks | Thomas Lin Pedersen |
| ggraptR | 1.3 | Allows Interactive Visualization of Data Through a Web Browser
GUI | Eugene Dubossarsky |
| ggrasp | 1.2 | Gaussian-Based Genome Representative Selector with
Prioritization | Thomas Clarke |
| ggrastr | 1.0.2 | Rasterize Layers for 'ggplot2' | Evan Biederstedt |
| ggrcs | 0.3.8 | Draw Histograms and Restricted Cubic Splines (RCS) | Qiang LIU |
| ggredist | 0.0.2 | Scales, Geometries, and Extensions of 'ggplot2' for Election
Mapping | Christopher T. Kenny |
| ggrepel | 0.9.5 | Automatically Position Non-Overlapping Text Labels with
'ggplot2' | Kamil Slowikowski |
| ggResidpanel | 0.3.0 | Panels and Interactive Versions of Diagnostic Plots using
'ggplot2' | Katherine Goode |
| GGRidge | 1.1.0 | Graphical Group Ridge | Saeed Aldahmani |
| ggridges | 0.5.6 | Ridgeline Plots in 'ggplot2' | Claus O. Wilke |
| ggrisk | 1.3 | Risk Score Plot for Cox Regression | Jing Zhang |
| ggrounded | 0.0.3 | Rounded Bar Plots | Botan Ağın |
| ggroups | 2.1.2 | Pedigree and Genetic Groups | Mohammad Ali Nilforooshan |
| ggRtsy | 0.1.0 | Add Some Van Gogh Colors and Overlay Colors on Your 'ggplot()' | Katelyn Diaz |
| ggsankeyfier | 0.1.8 | Create Sankey and Alluvial Diagrams Using 'ggplot2' | Pepijn de Vries |
| ggScatRidges | 0.1.1 | Scatter Plot Combined with Ridgelines in 'ggplot2' | Matthieu Bourgery |
| ggsci | 3.0.3 | Scientific Journal and Sci-Fi Themed Color Palettes for
'ggplot2' | Nan Xiao |
| ggscidca | 0.2.0 | Plotting Decision Curve Analysis with Coloured Bars | Qiang Liu |
| ggseas | 0.5.4 | 'stats' for Seasonal Adjustment on the Fly with 'ggplot2' | Peter Ellis |
| ggsector | 1.6.6 | Draw Sectors | Pengdong Yan |
| ggseg | 1.6.5 | Plotting Tool for Brain Atlases | Athanasia Mo Mowinckel |
| ggseg3d | 1.6.3 | Tri-Surface Mesh Plots for Brain Atlases | Athanasia Mo Mowinckel |
| ggseqlogo | 0.2 | A 'ggplot2' Extension for Drawing Publication-Ready Sequence
Logos | Omar Wagih |
| ggseqplot | 0.8.3 | Render Sequence Plots using 'ggplot2' | Marcel Raab |
| ggshadow | 0.0.5 | Shadow and Glow Geoms for 'ggplot2' | Marc Menem |
| ggside | 0.3.1 | Side Grammar Graphics | Justin Landis |
| ggsignif | 0.6.4 | Significance Brackets for 'ggplot2' | Constantin Ahlmann-Eltze |
| ggsoccer | 0.1.7 | Plot Soccer Event Data | Ben Torvaney |
| ggsolvencyii | 0.1.2 | A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM | Marco van Zanden |
| ggsom | 0.4.0 | New Data Visualisations for SOMs Networks | Felipe Carvalho |
| ggspatial | 1.1.9 | Spatial Data Framework for ggplot2 | Dewey Dunnington |
| ggspectra | 0.3.12 | Extensions to 'ggplot2' for Radiation Spectra | Pedro J. Aphalo |
| ggstance | 0.3.7 | Horizontal 'ggplot2' Components | Lionel Henry |
| ggstar | 1.0.4 | Multiple Geometric Shape Point Layer for 'ggplot2' | Shuangbin Xu |
| ggstats | 0.6.0 | Extension to 'ggplot2' for Plotting Stats | Joseph Larmarange |
| ggstatsplot | 0.12.3 | 'ggplot2' Based Plots with Statistical Details | Indrajeet Patil |
| ggstream | 0.1.0 | Create Streamplots in 'ggplot2' | David Sjoberg |
| ggstudent | 0.1.1-1 | Continuous Confidence Interval Plots using t-Distribution | Jouni Helske |
| ggsurvey | 1.0.0 | Simplifying 'ggplot2' for Survey Data | Brittany Alexander |
| ggsurvfit | 1.0.0 | Flexible Time-to-Event Figures | Daniel D. Sjoberg |
| ggswissmaps | 0.1.1 | Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects | Sandro Petrillo Burri |
| ggtea | 0.1.1 | Palettes and Themes for 'ggplot2' | Pushkar Sarkar |
| ggtern | 3.5.0 | An Extension to 'ggplot2', for the Creation of Ternary Diagrams | Nicholas Hamilton |
| ggtext | 0.1.2 | Improved Text Rendering Support for 'ggplot2' | Brenton M. Wiernik |
| ggThemeAssist | 0.1.5 | Add-in to Customize 'ggplot2' Themes | Calli Gross |
| ggthemes | 5.1.0 | Extra Themes, Scales and Geoms for 'ggplot2' | Jeffrey B. Arnold |
| ggthemeUL | 0.1.3 | A 'ggplot' Theme for University of Ljubljana | Marjan Cugmas |
| ggtibble | 1.0.0 | Create Tibbles and Lists of 'ggplot' Figures for Reporting | Bill Denney |
| ggTimeSeries | 1.0.2 | Time Series Visualisations Using the Grammar of Graphics | Aditya Kothari |
| ggtrace | 0.2.0 | Trace and Highlight Groups of Data Points | Ryan Sheridan |
| ggtrendline | 1.0.3 | Add Trendline and Confidence Interval to 'ggplot' | Weiping Mei |
| ggtricks | 0.1.0 | Create Sector and Other Charts Easily Using Grammar of Graphics | Abdoul ISSA BIDA |
| GGUM | 0.5 | Generalized Graded Unfolding Model | Jorge N. Tendeiro |
| ggupset | 0.3.0 | Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots | Constantin Ahlmann-Eltze |
| ggvenn | 0.1.10 | Draw Venn Diagram by 'ggplot2' | Linlin Yan |
| ggVennDiagram | 1.5.2 | A 'ggplot2' Implement of Venn Diagram | Chun-Hui Gao |
| ggversa | 0.0.1 | Graficas Versatiles Con 'ggplot2' | Raymond L. Tremblay |
| ggvis | 0.4.9 | Interactive Grammar of Graphics | Hadley Wickham |
| ggwordcloud | 0.6.1 | A Word Cloud Geom for 'ggplot2' | Erwan Le Pennec |
| ggx | 0.1.1 | A Natural Language Interface to 'ggplot2' | Andreas M. Brandmaier |
| gh | 1.4.1 | 'GitHub' 'API' | Gábor Csárdi |
| GHap | 3.0.0 | Genome-Wide Haplotyping | Yuri Tani Utsunomiya |
| ghapps | 1.0.0 | Authenticate as a 'GitHub' App | Jeroen Ooms |
| Ghat | 0.2.0 | Quantifying Evolution and Selection on Complex Traits | Tim Beissinger |
| ghclass | 0.3.0 | Tools for Managing Classes on GitHub | Colin Rundel |
| ghcm | 3.0.1 | Functional Conditional Independence Testing with the GHCM | Anton Rask Lundborg |
| ghibli | 0.3.4 | Studio Ghibli Colour Palettes | Ewen Henderson |
| Ghost | 0.1.0 | Missing Data Segments Imputation in Multivariate Streams | Siyavash Shabani |
| GhostKnockoff | 0.1.0 | The Knockoff Inference Using Summary Statistics | Zihuai He |
| ghql | 0.1.0 | General Purpose 'GraphQL' Client | Scott Chamberlain |
| GHS | 0.1 | Graphical Horseshoe MCMC Sampler Using Data Augmented Block
Gibbs Sampler | Ashutosh Srivastava |
| ghyp | 1.6.4 | Generalized Hyperbolic Distribution and Its Special Cases | Marc Weibel |
| ghypernet | 1.1.0 | Fit and Simulate Generalised Hypergeometric Ensembles of Graphs | Giona Casiraghi |
| giacR | 1.0.0 | Interface to the Computer Algebra System 'Giac' | Stéphane Laurent |
| gibasa | 1.1.0 | An Alternative 'Rcpp' Wrapper of 'MeCab' | Akiru Kato |
| gibble | 0.4.0 | Geometry Decomposition | Michael Sumner |
| GIC | 1.0.0 | A General Iterative Clustering Algorithm | Ziqiang Lin |
| gie | 0.1.1 | API Wrapper for the Natural Gas Transparency Platforms of Gas
Infrastructure Europe | Yannik Buhl |
| gif | 0.1.1 | Graphical Independence Filtering | Shiyun Lin |
| Gifi | 0.4-0 | Multivariate Analysis with Optimal Scaling | Patrick Mair |
| gifski | 1.12.0-2 | Highest Quality GIF Encoder | Jeroen Ooms |
| GIFT | 1.3.2 | Access to the Global Inventory of Floras and Traits (GIFT) | Pierre Denelle |
| gifti | 0.8.0 | Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information | John Muschelli |
| GIFTr | 0.1.0 | GIFT Questions Format Generator from Dataframes | Omar I. Elashkar |
| gigg | 0.2.1 | Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with
Grouping Structure | Michael Kleinsasser |
| GIGrvg | 0.8 | Random Variate Generator for the GIG Distribution | Josef Leydold |
| GillespieSSA | 0.6.2 | Gillespie's Stochastic Simulation Algorithm (SSA) | Robrecht Cannoodt |
| GillespieSSA2 | 0.3.0 | Gillespie's Stochastic Simulation Algorithm for Impatient People | Robrecht Cannoodt |
| gim | 0.33.1 | Generalized Integration Model | Han Zhang |
| gimme | 0.7-16 | Group Iterative Multiple Model Estimation | Kathleen M Gates |
| GimmeMyPlot | 0.1.0 | Graphical Utilities for Visualizing and Exploring Data | Etienne Camenen |
| gimmeTools | 0.1 | Supplemental Tools for the 'gimme' R Package | Stephanie Lane |
| gimms | 1.2.2 | Download and Process GIMMS NDVI3g Data | Florian Detsch |
| GiNA | 1.0.1 | High Throughput Phenotyping | Giovanny Covarrubias-Pazaran |
| Gini | 0.1.0 | Gini Coefficient | Zhicheng Du |
| GiniDecompLY | 1.0.0 | Gini Decomposition by Income Sources | Abdessamad Ait Mbarek |
| GiniDistance | 0.1.1 | A New Gini Correlation Between Quantitative and Qualitative
Variables | Dao Nguyen |
| giniVarCI | 0.0.1-3 | Gini Indices, Variances and Confidence Intervals for Finite and
Infinite Populations | Juan Francisco Muñoz |
| ginormal | 0.0.2 | Generalized Inverse Normal Distribution Density and Generation | Santiago Montoya-Blandón |
| GInSARCorW | 1.15.8 | GACOS InSAR Correction Workflow | Subhadip Datta |
| gIPFrm | 3.1 | Generalized Iterative Proportional Fitting for Relational Models | Anna Klimova |
| GIplot | 0.1.0 | Gaussian Interval Plot (GIplot) | Siddhanta Phuyal |
| gips | 1.2.1 | Gaussian Model Invariant by Permutation Symmetry | Adam Przemysław Chojecki |
| GiRaF | 1.0.1 | Gibbs Random Fields Analysis | Julien Stoehr |
| giscoR | 0.4.2 | Download Map Data from GISCO API - Eurostat | Diego Hernangómez |
| GISINTEGRATION | 1.0 | GIS Integration | Leila Marvian Mashhad |
| GISSB | 1.1 | Network Analysis on the Norwegian Road Network | Sindre Mikael Haugen |
| gistr | 0.9.0 | Work with 'GitHub' 'Gists' | Scott Chamberlain |
| git2r | 0.33.0 | Provides Access to Git Repositories | Stefan Widgren |
| git2rdata | 0.4.0 | Store and Retrieve Data.frames in a Git Repository | Thierry Onkelinx |
| git4r | 0.1.2 | Interactive Git for R | John Hobbs |
| gitcreds | 0.1.2 | Query 'git' Credentials from 'R' | Gábor Csárdi |
| gitdown | 0.1.6 | Turn Your Git Commit Messages into a HTML Book | Sébastien Rochette |
| gitear | 1.0.0 | Client to the 'gitea' API | Frans van Dunné |
| gitgadget | 0.8.1 | 'Rstudio' Addin for Version Control and Assignment Management
using Git | Vincent Nijs |
| gitGPT | 0.1.3 | Automated Git Commit Messages using the 'OpenAI' 'GPT' Model | Steve Condylios |
| githubinstall | 0.2.2 | A Helpful Way to Install R Packages Hosted on GitHub | Koji Makiyama |
| githubr | 0.9.1 | Easier to Use API Wrapper for 'GitHub' | Candace Savonen |
| gitignore | 0.1.6 | Create Useful .gitignore Files for your Project | Philippe Massicotte |
| gitlabr | 2.0.1 | Access to the 'Gitlab' API | Sébastien Rochette |
| gitlink | 0.1.3 | Add 'Git' Links to Your Web Based Assets | Cole Arendt |
| gitr | 0.0.1 | A Lightweight API for 'Git' | Stu Field |
| gittargets | 0.0.7 | Data Version Control for the Targets Package | William Michael Landau |
| givitiR | 1.3 | The GiViTI Calibration Test and Belt | Giovanni Nattino |
| gjam | 2.6.2 | Generalized Joint Attribute Modeling | James S. Clark |
| gJLS2 | 0.2.0 | A Generalized Joint Location and Scale Framework for Association
Testing | Wei Deng |
| GJRM | 0.2-6.5 | Generalised Joint Regression Modelling | Giampiero Marra |
| gk | 0.6.0 | g-and-k and g-and-h Distribution Functions | Dennis Prangle |
| GK2011 | 0.1.3 | Gaines and Kuklinski (2011) Estimators for Hybrid Experiments | Thomas J. Leeper |
| gkgraphR | 1.0.2 | Accessing the Official 'Google Knowledge Graph' API | Ricardo Correia |
| gkmSVM | 0.83.0 | Gapped-Kmer Support Vector Machine | Mike Beer |
| gKRLS | 1.0.2 | Generalized Kernel Regularized Least Squares | Max Goplerud |
| glamlasso | 3.0.1 | Penalization in Large Scale Generalized Linear Array Models | Adam Lund |
| glarma | 1.6-0 | Generalized Linear Autoregressive Moving Average Models | "William T.M. Dunsmuir" |
| Glarmadillo | 1.1.1 | Solve the Graphical Lasso Problem with 'Armadillo' | Alessandro Meng |
| GlarmaVarSel | 1.0 | Variable Selection in Sparse GLARMA Models | Marina Gomtsyan |
| glassdoor | 0.8.1 | Interface to 'Glassdoor' API | John Muschelli |
| glasso | 1.11 | Graphical Lasso: Estimation of Gaussian Graphical Models | Rob Tibshirani |
| glassoFast | 1.0.1 | Fast Graphical LASSO | Julien Clavel |
| glba | 0.2.1 | General Linear Ballistic Accumulator Models | Ingmar Visser |
| glca | 1.4.0 | An R Package for Multiple-Group Latent Class Analysis | Youngsun Kim |
| glcm | 1.6.5 | Calculate Textures from Grey-Level Co-Occurrence Matrices
(GLCMs) | Alex Zvoleff |
| GLCMTextures | 0.4.1 | GLCM Textures of Raster Layers | Alexander Ilich |
| gld | 2.6.6 | Estimation and Use of the Generalised (Tukey) Lambda
Distribution | Robert King |
| GLDEX | 2.0.0.9.3 | Fitting Single and Mixture of Generalised Lambda Distributions | Steve Su |
| GLDreg | 1.1.1 | Fit GLD Regression/Quantile/AFT Model to Data | Steve Su |
| gldrm | 1.6 | Generalized Linear Density Ratio Models | Michael Wurm |
| GLIDE | 1.0.5 | Global and Individual Tests for Direct Effects | James Dai |
| glinternet | 1.0.12 | Learning Interactions via Hierarchical Group-Lasso
Regularization | Michael Lim |
| glinvci | 1.2.2 | Phylogenetic Comparative Methods with Uncertainty Estimates | Hao Chi Kiang |
| gllm | 0.38 | Generalised log-Linear Model | David Duffy |
| gllvm | 1.4.3 | Generalized Linear Latent Variable Models | Jenni Niku |
| glm.deploy | 1.0.4 | 'C' and 'Java' Source Code Generator for Fitted Glm Objects | Oscar Castro-Lopez |
| glm.predict | 4.3-0 | Predicted Values and Discrete Changes for Regression Models | Benjamin E. Schlegel |
| glm2 | 1.2.1 | Fitting Generalized Linear Models | Mark W. Donoghoe |
| GLMaSPU | 1.0 | An Adaptive Test on High Dimensional Parameters in Generalized
Linear Models | Chong Wu |
| glmbb | 0.5-1 | All Hierarchical or Graphical Models for Generalized Linear
Model | Charles J. Geyer |
| glmc | 0.3-1 | Fitting Generalized Linear Models Subject to Constraints | Sanjay Chaudhuri |
| GLMcat | 0.2.6 | Generalized Linear Models for Categorical Responses | Lorena León |
| glme | 0.1.0 | Generalized Linear Mixed Effects Models | Mustafa Cavus |
| glmertree | 0.2-4 | Generalized Linear Mixed Model Trees | Marjolein Fokkema |
| glmglrt | 0.2.2 | GLRT P-Values in Generalized Linear Models | André GILLIBERT |
| glmlep | 0.2 | Fit GLM with LEP-Based Penalized Maximum Likelihood | Canhong Wen |
| glmm | 1.4.4 | Generalized Linear Mixed Models via Monte Carlo Likelihood
Approximation | Christina Knudson |
| glmm.hp | 0.1-2 | Hierarchical Partitioning of Marginal R2 for Generalized
Mixed-Effect Models | Jiangshan Lai |
| GLMMadaptive | 0.9-1 | Generalized Linear Mixed Models using Adaptive Gaussian
Quadrature | Dimitris Rizopoulos |
| GLMMcosinor | 0.2.0 | Fit a Cosinor Model Using a Generalised Mixed Modelling
Framework | Rex Parsons |
| glmmEP | 1.0-3.1 | Generalized Linear Mixed Model Analysis via Expectation
Propagation | Matt P. Wand |
| glmmfields | 0.1.8 | Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling | Sean C. Anderson |
| glmMisrep | 0.1.0 | Generalized Linear Models Adjusting for Misrepresentation | Patrick Rafael |
| glmmLasso | 1.6.3 | Variable Selection for Generalized Linear Mixed Models by
L1-Penalized Estimation | Andreas Groll |
| glmmML | 1.1.6 | Generalized Linear Models with Clustering | Göran Broström |
| glmmPen | 1.5.4.4 | High Dimensional Penalized Generalized Linear Mixed Models
(pGLMM) | Hillary Heiling |
| glmmrBase | 0.8.1 | Generalised Linear Mixed Models in R | Sam Watson |
| glmmrOptim | 0.3.4 | Approximate Optimal Experimental Designs Using Generalised
Linear Mixed Models | Sam Watson |
| GLMMRR | 0.5.0 | Generalized Linear Mixed Model (GLMM) for Binary Randomized
Response Data | Konrad Klotzke |
| GLMMselect | 1.2.0 | Bayesian Model Selection for Generalized Linear Mixed Models | Shuangshuang Xu |
| glmmSeq | 0.5.5 | General Linear Mixed Models for Gene-Level Differential
Expression | Myles Lewis |
| glmmTMB | 1.1.9 | Generalized Linear Mixed Models using Template Model Builder | Mollie Brooks |
| glmnet | 4.1-8 | Lasso and Elastic-Net Regularized Generalized Linear Models | Trevor Hastie |
| glmnetcr | 1.0.6 | Fit a Penalized Constrained Continuation Ratio Model for
Predicting an Ordinal Response | Kellie J. Archer |
| glmnetr | 0.4-4 | Nested Cross Validation for the Relaxed Lasso and Other Machine
Learning Models | Walter K Kremers |
| glmnetSE | 0.0.1 | Add Nonparametric Bootstrap SE to 'glmnet' for Selected
Coefficients (No Shrinkage) | Sebastian Bahr |
| glmnetUtils | 1.1.9 | Utilities for 'Glmnet' | Hong Ooi |
| GLMpack | 0.1.0 | Data and Code to Accompany Generalized Linear Models, 2nd
Edition | Michelle Torres |
| glmpath | 0.98 | L1 Regularization Path for Generalized Linear Models and Cox
Proportional Hazards Model | Mee Young Park |
| glmpathcr | 1.0.10 | Fit a Penalized Continuation Ratio Model for Predicting an
Ordinal Response | Kellie J. Archer |
| glmpca | 0.2.0 | Dimension Reduction of Non-Normally Distributed Data | F. William Townes |
| glmpermu | 0.0.1 | Permutation-Based Inference for Generalized Linear Models | Xuekui Zhang |
| GLMsData | 1.4 | Generalized Linear Model Data Sets | Peter K. Dunn |
| GlmSimulatoR | 1.0.0 | Creates Ideal Data for Generalized Linear Models | Greg McMahan |
| glmtlp | 2.0.1 | Generalized Linear Models with Truncated Lasso Penalty | Yu Yang |
| glmtoolbox | 0.1.10 | Set of Tools to Data Analysis using Generalized Linear Models | Luis Hernando Vanegas |
| glmtrans | 2.0.0 | Transfer Learning under Regularized Generalized Linear Models | Ye Tian |
| glmtree | 0.3.1 | Logistic Regression Trees | Adrien Ehrhardt |
| glmulti | 1.0.8 | Model Selection and Multimodel Inference Made Easy | Vincent Calcagno |
| glmvsd | 1.5 | Variable Selection Deviation Measures and Instability Tests for
High-Dimensional Generalized Linear Models | Yi Yang |
| glmx | 0.2-0 | Generalized Linear Models Extended | Achim Zeileis |
| glmxdiag | 1.0.0 | A Collection of Graphic Tools for GLM Diagnostics and some
Extensions | Giuseppe Reale |
| globalKinhom | 0.1.7 | Inhomogeneous K- And Pair Correlation Functions Using Global
Estimators | Thomas Shaw |
| GlobalOptions | 0.1.2 | Generate Functions to Get or Set Global Options | Zuguang Gu |
| globalOptTests | 1.1 | Objective functions for benchmarking the performance of global
optimization algorithms | Katharine Mullen |
| globals | 0.16.3 | Identify Global Objects in R Expressions | Henrik Bengtsson |
| globaltrends | 0.0.14 | Download and Measure Global Trends Through Google Search Volumes | Harald Puhr |
| globe | 1.2-0 | Plot 2D and 3D Views of the Earth, Including Major Coastline | Adrian Baddeley |
| glober | 1.0 | Estimating Functions with Multivariate B-Splines | Mary E. Savino |
| glogis | 1.0-2 | Fitting and Testing Generalized Logistic Distributions | Achim Zeileis |
| glossary | 1.0.0 | Glossaries for Markdown and Quarto Documents | Lisa DeBruine |
| glossr | 0.7.0 | Use Interlinear Glosses in R Markdown | Mariana Montes |
| glottospace | 0.0.112 | Language Mapping and Geospatial Analysis of Linguistic and
Cultural Data | Sietze Norder |
| glow | 0.11.0 | Make Plots that Glow | Travers Ching |
| glpkAPI | 1.3.4 | R Interface to C API of GLPK | Mihail Anton |
| gLRTH | 0.2.0 | Genome-Wide Association and Linkage Analysis under Heterogeneity | Xiaoxia Han |
| GLSME | 1.0.5 | Generalized Least Squares with Measurement Error | Krzysztof Bartoszek |
| glue | 1.7.0 | Interpreted String Literals | Jennifer Bryan |
| gluedown | 1.0.9 | Wrap Vectors in Markdown Formatting | Kiernan Nicholls |
| gluvarpro | 7.0 | Glucose Variability Measures from Continuous Glucose Monitoring
Data | Sergio Contador |
| glvmfit | 0.1.0 | Methods to Assess Generalized Latent Variable Model Fit | Tyler Matta |
| glycanr | 0.4.0 | Tools for Analysing N-Glycan Data | Ivo Ugrina |
| gm | 1.0.2 | Generate Music Easily and Show Them Anywhere | Renfei Mao |
| gma | 1.0 | Granger Mediation Analysis | Yi Zhao |
| GMAC | 3.1 | Genomic Mediation Analysis with Adaptive Confounding Adjustment | Jiebiao Wang |
| gmailr | 2.0.0 | Access the 'Gmail' 'RESTful' API | Jennifer Bryan |
| gmapsdistance | 4.0.4 | Distance and Travel Time Between Two Points from Google Maps | Jindra Lacko |
| GMCM | 1.4 | Fast Estimation of Gaussian Mixture Copula Models | Anders Ellern Bilgrau |
| gMCP | 0.8-17 | Graph Based Multiple Comparison Procedures | Kornelius Rohmeyer |
| gMCPLite | 0.1.5 | Lightweight Graph Based Multiple Comparison Procedures | Nan Xiao |
| gmDatabase | 0.5.0 | Accessing a Geometallurgical Database with R | K. Gerald van den Boogaart |
| GMDH | 1.6 | Short Term Forecasting via GMDH-Type Neural Network Algorithms | Osman Dag |
| GMDH2 | 1.8 | Binary Classification via GMDH-Type Neural Network Algorithms | Osman Dag |
| GMDHreg | 0.2.3 | Regression using GMDH Algorithms | Manuel Villacorta Tilve |
| Gmedian | 1.2.7 | Geometric Median, k-Medians Clustering and Robust Median PCA | Herve Cardot |
| gmfd | 1.0.1 | Inference and Clustering of Functional Data | Andrea Martino |
| gmGeostats | 0.11.3 | Geostatistics for Compositional Analysis | K. Gerald van den Boogaart |
| gmgm | 1.1.2 | Gaussian Mixture Graphical Model Learning and Inference | Jérémy Roos |
| Gmisc | 3.0.3 | Descriptive Statistics, Transition Plots, and More | Max Gordon |
| GMKMcharlie | 1.1.5 | Unsupervised Gaussian Mixture and Minkowski and Spherical
K-Means with Constraints | Charlie Wusuo Liu |
| gmm | 1.8 | Generalized Method of Moments and Generalized Empirical
Likelihood | Pierre Chausse |
| GMMAT | 1.4.2 | Generalized Linear Mixed Model Association Tests | Han Chen |
| GMMBoost | 1.1.5 | Likelihood-Based Boosting for Generalized Mixed Models | Andreas Groll |
| gmmsslm | 1.1.5 | Semi-Supervised Gaussian Mixture Model with a Missing-Data
Mechanism | Ziyang Lyu |
| gmnl | 1.1-3.2 | Multinomial Logit Models with Random Parameters | Mauricio Sarrias |
| gmodels | 2.19.1 | Various R Programming Tools for Model Fitting | Gregory R. Warnes |
| gMOIP | 1.5.2 | Tools for 2D and 3D Plots of Single and Multi-Objective
Linear/Integer Programming Models | Lars Relund Nielsen |
| gmoTree | 1.0.1 | Get and Modify 'oTree' Data | Patricia F. Zauchner |
| gmp | 0.7-4 | Multiple Precision Arithmetic | Antoine Lucas |
| gmpoly | 1.1.0 | Multivariate Polynomials with Rational Coefficients | Stéphane Laurent |
| GMPro | 0.1.0 | Graph Matching with Degree Profiles | Yaofang Hu |
| GmptzCurve | 0.1.0 | Gompertz Curve Fitting | Arnab Roy |
| gms | 0.4.0 | 'GAMS' Modularization Support Package | Jan Philipp Dietrich |
| GMSE | 1.0.0.2 | Generalised Management Strategy Evaluation Simulator | A. Bradley Duthie |
| GMSimpute | 0.0.1.0 | Generalized Mass Spectrum Missing Peaks Abundance Imputation | Qian Li |
| gmt | 2.0.3 | Interface Between GMT Map-Making Software and R | Arni Magnusson |
| gmvarkit | 2.1.2 | Estimate Gaussian and Student's t Mixture Vector Autoregressive
Models | Savi Virolainen |
| gmvjoint | 0.4.0 | Joint Models of Survival and Multivariate Longitudinal Data | James Murray |
| gmwmx | 1.0.3 | Estimate Functional and Stochastic Parameters of Linear Models
with Correlated Residuals | Lionel Voirol |
| gMWT | 1.4 | Generalized Mann-Whitney Type Tests | Daniel Fischer |
| GNAR | 1.1.3 | Methods for Fitting Network Time Series Models | Matt Nunes |
| GNE | 0.99-5 | Computation of Generalized Nash Equilibria | Christophe Dutang |
| gnFit | 0.2.0 | Goodness of Fit Test for Continuous Distribution Functions | Ali Saeb |
| gnlm | 1.1.1 | Generalized Nonlinear Regression Models | Bruce Swihart |
| gnm | 1.1-5 | Generalized Nonlinear Models | Heather Turner |
| gnn | 0.0-4 | Generative Neural Networks | Marius Hofert |
| gnomonicM | 1.0.1 | Estimate Natural Mortality for Different Life Stages | Josymar Torrejon-Magallanes |
| gnonadd | 1.0.2 | Various Non-Additive Models for Genetic Associations | Audunn S. Snaebjarnarson |
| gnorm | 1.0.0 | Generalized Normal/Exponential Power Distribution | Maryclare Griffin |
| gnrprod | 1.1.2 | Estimates Gross Output Functions | David J. Jin |
| GNRS | 0.3.4 | Access the 'Geographic Name Resolution Service' | Brian Maitner |
| GNSSseg | 6.0 | Homogenization of GNSS Series | Annarosa Quarello |
| gnumeric | 0.7-10 | Read Data from Files Readable by 'gnumeric' | Karoly Antal |
| go2bigq | 2.0.1 | Convert Large Numbers to Bigq Format | Carl Witthoft |
| goalp | 0.3.1 | Weighted and Lexicographic Goal Programming Interface | David Palma |
| GOCompare | 1.0.2.1 | Comprehensive GO Terms Comparison Between Species | Chrystian Camilo Sosa |
| goeveg | 0.7.4 | Functions for Community Data and Ordinations | Friedemann von Lampe |
| gofar | 0.1 | Generalized Co-Sparse Factor Regression | Aditya Mishra |
| gofastr | 0.3.0 | Fast DocumentTermMatrix and TermDocumentMatrix Creation | Tyler Rinker |
| gofcat | 0.1.2 | Goodness-of-Fit Measures for Categorical Response Models | Ejike R. Ugba |
| GofCens | 0.98 | Goodness-of-Fit Methods for Complete and Right-Censored Data | Klaus Langohr |
| gofCopula | 0.4-1 | Goodness-of-Fit Tests for Copulae | Simon Trimborn |
| gofedf | 0.1.0 | Goodness of Fit Tests Based on Empirical Distribution Functions | Payman Nickchi |
| goffda | 0.1.2 | Goodness-of-Fit Tests for Functional Data | Eduardo García-Portugués |
| gofgamma | 1.0 | Goodness-of-Fit Tests for the Gamma Distribution | Bruno Ebner |
| GoFKernel | 2.1-1 | Testing Goodness-of-Fit with the Kernel Density Estimator | Jose M. Pavia |
| GofKmt | 2.2.0 | Khmaladze Martingale Transformation Goodness-of-Fit Test | Jiwoong Kim |
| GOFShiny | 0.1.0 | Interactive Document for Working with Goodness of Fit Analysis | Kartikeya Bolar |
| goft | 1.3.6 | Tests of Fit for some Probability Distributions | Elizabeth Gonzalez-Estrada |
| goftest | 1.2-3 | Classical Goodness-of-Fit Tests for Univariate Distributions | Adrian Baddeley |
| gogarch | 0.7-5 | Generalized Orthogonal GARCH (GO-GARCH) Models | Bernhard Pfaff |
| goldfish | 1.6.4 | Statistical Network Models for Dynamic Network Data | James Hollway |
| golem | 0.4.1 | A Framework for Robust Shiny Applications | Colin Fay |
| gomms | 1.0 | GLM-Based Ordination Method | Michael B. Sohn |
| GomoGomonoMi | 0.1.0 | Animate Text using the 'Animate.css' Library | Mohamed El Fodil Ihaddaden |
| gompertztrunc | 0.1.2 | Conducting Maximum Likelihood Estimation with Truncated
Mortality Data | Maria Osborne |
| gontr | 1.1.0 | Dataset for 'GOxploreR' | Kalifa Manjang |
| good | 1.0.1 | Good Regression | Jordi Tur |
| GoodFibes | 0.1.10 | Detection and Reconstruction of Muscle Fibers from diceCT Image
Data | Jessica Arbour |
| GoodFitSBM | 0.0.1 | Monte Carlo Goodness-of-Fit Tests for Stochastic Block Models | Soham Ghosh |
| GoodmanKruskal | 0.0.3 | Association Analysis for Categorical Variables | Ron Pearson |
| goodpractice | 1.0.4 | Advice on R Package Building | Karina Marks |
| googleadsR | 1.0.0 | Access to 'Google Ads' via the 'Windsor.ai' API | Pablo Sanchez |
| googleAnalyticsR | 1.1.0 | Google Analytics API into R | Mark Edmondson |
| googleAuthR | 2.0.1 | Authenticate and Create Google APIs | Mark Edmondson |
| googleCloudRunner | 0.5.0 | R Scripts in the Google Cloud via Cloud Run, Cloud Build and
Cloud Scheduler | Mark Edmondson |
| googleCloudStorageR | 0.7.0 | Interface with Google Cloud Storage API | Mark Edmondson |
| googleCloudVisionR | 0.2.0 | Access to the 'Google Cloud Vision' API for Image Recognition,
OCR and Labeling | Jeno Pal |
| googleComputeEngineR | 0.3.0 | R Interface with Google Compute Engine | Mark Edmondson |
| googledrive | 2.1.1 | An Interface to Google Drive | Jennifer Bryan |
| googleErrorReportingR | 0.0.4 | Send Error Reports to the Google Error Reporting Service API | Frans van Dunné |
| GoogleImage2Array | 0.99.2 | Create Array Data from 2D Image Thumbnails via Google Image
Search | Satoshi Kume |
| GoogleKnowledgeGraphR | 0.1.0 | Retrieve Information from 'Google Knowledge Graph' API | Daniel Schmeh |
| googleLanguageR | 0.3.0 | Call Google's 'Natural Language' API, 'Cloud Translation' API,
'Cloud Speech' API and 'Cloud Text-to-Speech' API | Mark Edmondson |
| googlenlp | 0.2.0 | An Interface to Google's Cloud Natural Language API | Brian Weinstien |
| googlePolylines | 0.8.4 | Encoding Coordinates into 'Google' Polylines | David Cooley |
| googlePublicData | 0.16.1 | Working with Google's 'Public Data Explorer' DSPL Metadata Files | George Vega Yon |
| googlePubsubR | 0.0.4 | R Interface for Google 'Cloud Pub/Sub' REST API | Andrea Dodet |
| googler | 0.0.1 | Google from the R Console | Michael W. Kearney |
| googlesheets4 | 1.1.1 | Access Google Sheets using the Sheets API V4 | Jennifer Bryan |
| googleTagManageR | 0.2.0 | Access the 'Google Tag Manager' API using R | James Cottrill |
| googletraffic | 0.1.5 | Google Traffic | Robert Marty |
| googleway | 2.7.8 | Accesses Google Maps APIs to Retrieve Data and Plot Maps | David Cooley |
| GOplot | 1.0.2 | Visualization of Functional Analysis Data | Wencke Walter |
| gor | 1.0 | Algorithms for the Subject Graphs and Network Optimization | Cesar Asensio |
| GORCure | 2.0 | Fit Generalized Odds Rate Mixture Cure Model with Interval
Censored Data | Jie Zhou |
| goric | 1.1-2 | Generalized Order-Restricted Information Criterion | Daniel Gerhard <00gerhard at gmail.com> |
| gorica | 0.1.4 | Evaluation of Inequality Constrained Hypotheses Using GORICA | Caspar J. van Lissa |
| gosset | 1.0 | Tools for Data Analysis in Experimental Agriculture | Kauê de Sousa |
| gotop | 0.1.2 | Scroll Back to Top Icon in 'rmarkdown' and 'shiny' | Félix Luginbuhl |
| govdown | 0.10.1 | GOV.UK Style Templates for R Markdown | Duncan Garmonsway |
| govinfoR | 0.0.3 | A 'GovInfo' API Wrapper | William Blackerby |
| govStatJPN | 0.1 | functions to get public survey data in Japan | Yuichiro Otani |
| gower | 1.0.1 | Gower's Distance | Mark van der Loo |
| goweragreement | 1.0 | Bayesian Gower Agreement for Categorical Data | John Hughes |
| GOxploreR | 1.2.7 | Structural Exploration of the Gene Ontology (GO) Knowledge Base | Kalifa Manjang |
| goxygen | 1.0.3 | In-Code Documentation for 'GAMS' | Jan Philipp Dietrich |
| gp | 1.1 | Maximum Likelihood Estimation of the Generalized Poisson
Distribution | Michail Tsagris |
| gpairs | 1.3.3 | The Generalized Pairs Plot | John W. Emerson |
| GPareto | 1.1.8 | Gaussian Processes for Pareto Front Estimation and Optimization | Mickael Binois |
| GPArotateDF | 2023.11-1 | Derivative Free Gradient Projection Factor Rotation | Coen Bernaards |
| GPArotation | 2024.3-1 | Gradient Projection Factor Rotation | Coen Bernaards |
| GPBayes | 0.1.0-5.1 | Tools for Gaussian Process Modeling in Uncertainty
Quantification | Pulong Ma |
| gpboost | 1.3.1 | Combining Tree-Boosting with Gaussian Process and Mixed Effects
Models | Fabio Sigrist |
| gpbStat | 0.4.3 | Comprehensive Statistical Analysis of Plant Breeding Experiments | Nandan Patil |
| GPCERF | 0.2.3 | Gaussian Processes for Estimating Causal Exposure Response
Curves | Naeem Khoshnevis |
| GPCMlasso | 0.1-7 | Differential Item Functioning in Generalized Partial Credit
Models | Gunther Schauberger |
| GPFDA | 3.1.3 | Gaussian Process for Functional Data Analysis | Evandro Konzen |
| GPfit | 1.0-8 | Gaussian Processes Modeling | Hugh Chipman |
| gpg | 1.2.9 | GNU Privacy Guard for R | Jeroen Ooms |
| GPGame | 1.2.0 | Solving Complex Game Problems using Gaussian Processes | Victor Picheny |
| GpGp | 0.5.0 | Fast Gaussian Process Computation Using Vecchia's Approximation | Joseph Guinness |
| GPIC | 0.1.0 | Quantifying Group Performance in Individual Competitions | Duy Nghia Pham |
| gpindex | 0.6.0 | Generalized Price and Quantity Indexes | Steve Martin |
| gpk | 1.0 | 100 Data Sets for Statistics Education | Prabhanjan Tattar |
| gpkg | 0.0.8 | Utilities for the Open Geospatial Consortium 'GeoPackage' Format | Andrew Brown |
| GPL2025 | 1.0.1 | Convert Chip ID of the GPL2015 into GeneBank Accession and
ENTREZID | Xiang Li |
| gplite | 0.13.0 | General Purpose Gaussian Process Modelling | Juho Piironen |
| gplm | 0.7-4 | Generalized Partial Linear Models (GPLM) | Marlene Mueller |
| gplots | 3.1.3.1 | Various R Programming Tools for Plotting Data | Tal Galili |
| gplsim | 1.0.0 | Spline Estimation for GPLSIM | Tianhai Zu |
| GPLTR | 1.5 | Generalized Partially Linear Tree-Based Regression Model | Cyprien Mbogning |
| GPM | 3.0.1 | Gaussian Process Modeling of Multi-Response and Possibly Noisy
Datasets | Ramin Bostanabad |
| gpmap | 0.1.2 | Analysing and Plotting Genotype-Phenotype Maps | Arne B. Gjuvsland |
| GPoM | 1.4 | Generalized Polynomial Modelling | Mireille Huc |
| GPP | 0.1 | Gaussian Process Projection | David Carlson |
| GPRMortality | 0.1.0 | Gaussian Process Regression for Mortality Rates | Ali Ghanbari |
| gProfileR | 0.7.0 | Interface to the 'g:Profiler' Toolkit | Ivan Kuzmin |
| gprofiler2 | 0.2.3 | Interface to the 'g:Profiler' Toolset | Liis Kolberg |
| gps | 1.2 | General P-Splines | Zheyuan Li |
| gps.track | 1.0.0 | GPS Track Point Information Extractor | Wagner Martins dos Santos |
| GPSCDF | 0.1.1 | Generalized Propensity Score Cumulative Distribution Function | Derek W. Brown |
| GPSeqClus | 1.4.0 | Sequential Clustering Algorithm for Location Data | Justin Clapp |
| gptoolsStan | 0.1.0 | Gaussian Processes on Graphs and Lattices in 'Stan' | Till Hoffmann |
| gptstudio | 0.3.0 | Use Large Language Models Directly in your Development
Environment | James Wade |
| gptzeror | 0.0.1 | Identify Text Written by Large Language Models using 'GPTZero' | Christopher T. Kenny |
| GPUmatrix | 1.0.2 | Basic Linear Algebra with GPU | Cesar Lobato-Fernandez |
| GPvam | 3.1-0 | Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling | Andrew Karl |
| GPvecchia | 0.1.7 | Scalable Gaussian-Process Approximations | Marcin Jurek |
| gpx | 1.1.0 | Process GPX Files into R Data Structures | Mark Ewing |
| gqlr | 0.0.2 | 'GraphQL' Server in R | Barret Schloerke |
| gquad | 2.1-2 | Prediction of G Quadruplexes and Other Non-B DNA Motifs | Hannah O. Ajoge |
| grabsampling | 1.0.0 | Probability of Detection for Grab Sample Selection | Mayooran Thevaraja |
| GrabSVG | 0.0.2 | Granularity-Based Spatially Variable Genes Identifications | Jinpu Li |
| Grace | 0.5.3 | Graph-Constrained Estimation and Hypothesis Tests | Sen Zhao |
| grade | 0.2-1 | Binary Grading functions for R. | Leif Johnson |
| gradeR | 1.0.10 | Helps Grade Assignment Submissions that are R Scripts | Taylor Brown |
| graDiEnt | 1.0.1 | Stochastic Quasi-Gradient Differential Evolution Optimization | Brendan Matthew Galdo |
| gradientPickerD3 | 0.1.0.0 | Interactive Color Gradient Picker Using 'htmlwidgets' and the
Modified JS Script 'jquery-gradient-picker' | Christian D. Peikert |
| grafify | 4.0.1 | Easy Graphs for Data Visualisation and Linear Models for ANOVA | Avinash R Shenoy |
| grafzahl | 0.0.11 | Supervised Machine Learning for Textual Data Using Transformers
and 'Quanteda' | Chung-hong Chan |
| gRain | 1.4.1 | Graphical Independence Networks | Søren Højsgaard |
| grainscape | 0.4.4 | Landscape Connectivity, Habitat, and Protected Area Networks | Alex M Chubaty |
| gramEvol | 2.1-4 | Grammatical Evolution for R | Farzad Noorian |
| GramQuad | 0.1.1 | Gram Quadrature | Iago Giné-Vázquez |
| grand | 0.9.0 | Guidelines for Reporting About Network Data | Zachary Neal |
| grandR | 0.2.5 | Comprehensive Analysis of Nucleotide Conversion Sequencing Data | Florian Erhard |
| grangers | 0.1.0 | Inference on Granger-Causality in the Frequency Domain | Matteo Farne' |
| granova | 2.2 | Graphical Analysis of Variance | Frederic Bertrand |
| granovaGG | 1.4.1 | Graphical Analysis of Variance Using ggplot2 | Brian A. Danielak |
| grantham | 0.1.1 | Calculate the 'Grantham' Distance | Ramiro Magno |
| GRAPE | 0.1.1 | Gene-Ranking Analysis of Pathway Expression | Michael Klein |
| grapes | 1.0.0 | Make Binary Operators | William Michael Landau |
| grapesAgri1 | 1.1.0 | Collection of Shiny Apps for Agricultural Research Data Analysis | Pratheesh P. Gopinath |
| graph3d | 0.2.0 | A Wrapper of the JavaScript Library 'vis-graph3d' | Stéphane Laurent |
| graph4lg | 1.8.0 | Build Graphs for Landscape Genetics Analysis | Paul Savary |
| graphclust | 1.3 | Hierarchical Graph Clustering for a Collection of Networks | Tabea Rebafka |
| GrapheR | 1.9-86-5 | A Multi-Platform GUI for Drawing Customizable Graphs in R | Maxime HERVE |
| grapherator | 1.0.0 | A Modular Multi-Step Graph Generator | Jakob Bossek |
| graphframes | 0.1.2 | Interface for 'GraphFrames' | Kevin Kuo |
| graphhopper | 0.1.2 | An R Interface to the 'GraphHopper' Directions API | Stefan Kuethe |
| graphicalExtremes | 0.3.1 | Statistical Methodology for Graphical Extreme Value Models | Sebastian Engelke |
| graphicalVAR | 0.3.4 | Graphical VAR for Experience Sampling Data | Sacha Epskamp |
| graphkernels | 1.6.1 | Graph Kernels | Mahito Sugiyama |
| graphlayouts | 1.1.1 | Additional Layout Algorithms for Network Visualizations | David Schoch |
| graphon | 0.3.5 | A Collection of Graphon Estimation Methods | Kisung You |
| graphPAF | 2.0.0 | Estimating and Displaying Population Attributable Fractions | John Ferguson |
| GraphPCA | 1.1 | Graphical Tools of Histogram PCA | Brahim Brahim |
| graphql | 1.5.1 | A GraphQL Query Parser | Jeroen Ooms |
| graphsim | 1.0.3 | Simulate Expression Data from 'igraph' Networks | S. Thomas Kelly |
| graphTweets | 0.5.3 | Visualise Twitter Interactions | John Coene |
| graposas | 1.0.0 | Graphical Approach Optimal Sample Size | Jiangtao Gou |
| grateful | 0.2.4 | Facilitate Citation of R Packages | Francisco Rodriguez-Sanchez |
| grates | 1.2.0 | Grouped Date Classes | Tim Taylor |
| gratia | 0.9.0 | Graceful 'ggplot'-Based Graphics and Other Functions for GAMs
Fitted Using 'mgcv' | Gavin L. Simpson |
| graticule | 0.4.0 | Meridional and Parallel Lines for Maps | Michael D. Sumner |
| grattan | 2024.1.1 | Australian Tax Policy Analysis | Hugh Parsonage |
| grattanInflators | 0.5.1 | Inflators for Australian Policy Analysis | Hugh Parsonage |
| gRaven | 1.1.8 | Bayes Nets: 'RHugin' Emulation with 'gRain' | Peter Green |
| gravitas | 0.1.3 | Explore Probability Distributions for Bivariate Temporal
Granularities | Sayani Gupta |
| gravity | 1.1 | Estimation Methods for Gravity Models | Mauricio Vargas |
| gravmagsubs | 1.0.1 | Gravitational and Magnetic Attraction of 3-D Vertical
Rectangular Prisms | C. Cronkite-Ratcliff |
| gRbase | 2.0.1 | A Package for Graphical Modelling in R | Søren Højsgaard |
| gRc | 0.5.0 | Inference in Graphical Gaussian Models with Edge and Vertex
Symmetries | Søren Højsgaard |
| GRCdata | 1.0 | Parameter Inference and Optimal Designs for Grouped and/or
Right-Censored Count Data | Xin Guo |
| GRCdesigns | 1.0.0 | Generalized Row-Column Designs | Ashutosh Dalal |
| GRCRegression | 1.0 | Modified Poisson Regression of Grouped and Right-Censored Counts | Xin Guo |
| greatR | 2.0.0 | Gene Registration from Expression and Time-Courses in R | Ruth Kristianingsih |
| grec | 1.6.0 | Gradient-Based Recognition of Spatial Patterns in Environmental
Data | Wencheng Lau-Medrano |
| greed | 0.6.1 | Clustering and Model Selection with the Integrated
Classification Likelihood | Etienne Côme |
| GreedyEPL | 1.2 | Greedy Expected Posterior Loss | Riccardo Rastelli |
| GreedyExperimentalDesign | 1.5.6.1 | Greedy Experimental Design Construction | Adam Kapelner |
| GreedyExperimentalDesignJARs | 1.0 | GreedyExperimentalDesign JARs | Adam Kapelner |
| greekLetters | 1.0.2 | Routines for Writing Greek Letters and Mathematical Symbols on
the 'RStudio' and 'RGui' | Kevin Allan Sales Rodrigues |
| greeks | 1.3.5 | Sensitivities of Prices of Financial Options and Implied
Volatilities | Anselm Hudde |
| greenclust | 1.1.1 | Combine Categories Using Greenacre's Method | Jeff Jetton |
| greencrab.toolkit | 0.2 | Run 'Stan' Models to Interpret Green Crab Monitoring Assessments | Abigail G. Keller |
| GREENeR | 1.0.0 | Geospatial Regression Equation for European Nutrient Losses
(GREEN) | C. Alfaro |
| Greg | 2.0.2 | Regression Helper Functions | Max Gordon |
| gregRy | 0.1.0 | GREGORY Estimation | Olek Wojcik |
| GRelevance | 1.0 | Graph-Based k-Sample Comparisons and Relevance Analysis in High
Dimensions | Xiaoping Shi |
| gremlin | 1.0.1 | Mixed-Effects REML Incorporating Generalized Inverses | Matthew Wolak |
| GREMLINS | 0.2.1 | Generalized Multipartite Networks | Sophie Donnet |
| greport | 0.7-4 | Graphical Reporting for Clinical Trials | Frank E Harrell Jr |
| greta | 0.4.5 | Simple and Scalable Statistical Modelling in R | Nicholas Tierney |
| greta.dynamics | 0.2.0 | Modelling Structured Dynamical Systems in 'greta' | Nicholas Tierney |
| greta.gp | 0.2.1 | Gaussian Process Modelling in 'greta' | Nicholas Tierney |
| gretel | 0.0.1 | Generalized Path Analysis for Social Networks | David Buch |
| gretlR | 0.1.4 | A Seamless Integration of 'Gretl' and 'R' | Sagiru Mati |
| grex | 1.9 | Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data | Nan Xiao |
| greybox | 2.0.0 | Toolbox for Model Building and Forecasting | Ivan Svetunkov |
| GreyModel | 0.1.0 | Fitting and Forecasting of Grey Model | Mrinmoy Ray |
| Greymodels | 2.0.1 | Shiny App for Grey Forecasting Model | Jahajeeah Havisha |
| grf | 2.3.2 | Generalized Random Forests | Erik Sverdrup |
| GrFA | 0.1.1 | Group Factor Analysis | Jiaqi Hu |
| gridBase | 0.4-7 | Integration of base and grid graphics | Paul Murrell |
| gridBezier | 1.1-1 | Bezier Curves in 'grid' | Paul Murrell |
| GRIDCOPULA | 1.0.1 | Bivariate Copula Functions Based on Regular Grid | Rogelio Salinas Gutiérrez |
| gridDebug | 0.5-1 | Debugging 'grid' Graphics | Paul Murrell |
| gridExtra | 2.3 | Miscellaneous Functions for "Grid" Graphics | Baptiste Auguie |
| gridGeometry | 0.3-0 | Polygon Geometry in 'grid' | Paul Murrell |
| gridGraphics | 0.5-1 | Redraw Base Graphics Using 'grid' Graphics | Paul Murrell |
| gridGraphviz | 0.3-1 | Drawing Graphs with 'grid' | Paul Murrell |
| GridOnClusters | 0.1.0 | Cluster-Preserving Multivariate Joint Grid Discretization | Joe Song |
| gridOT | 1.0.1 | Approximate Optimal Transport Between Two-Dimensional Grids | Michel Groppe |
| gridpattern | 1.1.1 | 'grid' Pattern Grobs | Trevor L Davis |
| gridsampler | 0.6 | A Simulation Tool to Determine the Required Sample Size for
Repertory Grid Studies | Mark Heckmann |
| gridstackeR | 0.1.0 | Wrapper for 'gridstack.js' | Peter Gandenberger |
| gridSVG | 1.7-5 | Export 'grid' Graphics as SVG | Paul Murrell |
| gridtext | 0.1.5 | Improved Text Rendering Support for 'Grid' Graphics | Brenton M. Wiernik |
| gRim | 0.3.0 | Graphical Interaction Models | Søren Højsgaard |
| grImport | 0.9-7 | Importing Vector Graphics | Paul Murrell |
| grImport2 | 0.3-1 | Importing 'SVG' Graphics | Paul Murrell |
| GrimR | 0.5 | Calculate Optical Parameters from Spindle Stage Measurements | Florian Dufey |
| gripp | 0.2.20 | General Inverse Problem Platform | Jader Lugon Junior |
| grizbayr | 1.3.5 | Bayesian Inference for A|B and Bandit Marketing Tests | Ryan Angi |
| grmsem | 1.1.0 | Genetic-Relationship-Matrix Structural Equation Modelling
(GRMSEM) | Beate StPourcain |
| grnn | 0.1.0 | General regression neural network | Pierre-Olivier Chasset |
| GRNNs | 0.1.0 | General Regression Neural Networks Package | Shufeng LI |
| GROAN | 1.3.1 | Genomic Regression Workbench | Nelson Nazzicari |
| grobblR | 0.2.1 | Creating Flexible, Reproducible 'PDF' Reports | Calvin Floyd |
| groc | 1.0.9 | Generalized Regression on Orthogonal Components | Pierre Lafaye De Micheaux |
| gromovlab | 0.8-3 | Gromov-Hausdorff Type Distances for Labeled Metric Spaces | Volkmar Liebscher |
| groundhog | 3.2.0 | Version-Control for CRAN, GitHub, and GitLab Packages | Uri Simonsohn |
| GroupBN | 1.2.0 | Inferring Group Bayesian Networks using Hierarchical Feature
Clustering | Ann-Kristin Becker |
| GroupComparisons | 0.1.0 | Paired/Unpaired Parametric/Non-Parametric Group Comparisons | Aaron England |
| groupdata2 | 2.0.3 | Creating Groups from Data | Ludvig Renbo Olsen |
| groupedSurv | 1.0.5.1 | Efficient Estimation of Grouped Survival Models Using the Exact
Likelihood Function | Alexander Sibley |
| Grouphmap | 1.0.0 | 'Grouphmap' is an Automated One-Step Common Analysis of Batch
Expression Profile | Yuchen Sun |
| groupICA | 0.1.1 | Independent Component Analysis for Grouped Data | Niklas Pfister |
| groupr | 0.1.2 | Groups with Inapplicable Values | Nicholas Griffiths |
| grouprar | 0.1.0 | Group Response Adaptive Randomization for Clinical Trials | Guannan Zhai |
| GroupSeq | 1.4.3 | Group Sequential Design Probabilities - With Graphical User
Interface | Roman Pahl |
| GroupTest | 1.0.1 | Multiple Testing Procedure for Grouped Hypotheses | Zhigen Zhao |
| groupTesting | 1.1.0 | Simulating and Modeling Group (Pooled) Testing Data | Md S. Warasi |
| groupwalk | 0.1.2 | Implement the Group Walk Algorithm | Jack Freestone |
| groupWQS | 0.0.3 | Grouped Weighted Quantile Sum Regression | Matthew Carli |
| grove | 1.1.1 | Wavelet Functional ANOVA Through Markov Groves | Li Ma |
| growfunctions | 0.16 | Bayesian Non-Parametric Dependent Models for Time-Indexed
Functional Data | Terrance Savitsky |
| growR | 1.2.0 | Implementation of the Vegetation Model ModVege | Kevin Kramer |
| growth | 1.1.1 | Multivariate Normal and Elliptically-Contoured Repeated
Measurements Models | Bruce Swihart |
| growthcleanr | 2.2.0 | Data Cleaner for Anthropometric Measurements | Carrie Daymont |
| growthcurver | 0.3.1 | Simple Metrics to Summarize Growth Curves | Kathleen Sprouffske |
| growthmodels | 1.3.1 | Nonlinear Growth Models | Daniel Rodriguez |
| growthPheno | 2.1.24 | Functional Analysis of Phenotypic Growth Data to Smooth and
Extract Traits | Chris Brien |
| growthrate | 1.3 | Bayesian reconstruction of growth velocity | Ian W. McKeague |
| growthrates | 0.8.4 | Estimate Growth Rates from Experimental Data | Thomas Petzoldt |
| grpCox | 1.0.2 | Penalized Cox Model for High-Dimensional Data with Grouped
Predictors | Xuan Dang |
| grPipe | 0.1.0 | Graphviz Pipeline Plot Based on Grids (grPipe: Graphviz
Pipeline) | Daniel Gaspar Gonçalves |
| grplasso | 0.4-7 | Fitting User-Specified Models with Group Lasso Penalty | Lukas Meier |
| grplassocat | 1.0 | Standardization for Group Lasso Models with Categorical
Predictors | Felicitas Detmer |
| grpnet | 0.3 | Group Elastic Net Regularized GLMs and GAMs | Nathaniel E. Helwig |
| grpreg | 3.4.0 | Regularization Paths for Regression Models with Grouped
Covariates | Patrick Breheny |
| grpsel | 1.3.1 | Group Subset Selection | Ryan Thompson |
| grpseq | 1.0 | Group Sequential Analysis of Clinical Trials | Lu Mao |
| grpSLOPE | 0.3.3 | Group Sorted L1 Penalized Estimation | Alexej Gossmann |
| GrpString | 0.3.2 | Patterns and Statistical Differences Between Two Groups of
Strings | Hui (Tom) Tang |
| grr | 0.9.5 | Alternative Implementations of Base R Functions | Craig Varrichio |
| GRS.test | 1.2 | GRS Test for Portfolio Efficiency, Its Statistical Power
Analysis, and Optimal Significance Level Calculation | Jae H. Kim |
| GRShiny | 1.0.0 | Graded Response Model | Sooyong Lee |
| GRSxE | 1.0.1 | Testing Gene-Environment Interactions Through Genetic Risk
Scores | Michael Lau |
| grt | 0.2.1 | General Recognition Theory | Andy Wills |
| GRTo | 1.3 | Tools for the Analysis of Gutenberg-Richter Distributions of
Earthquake Magnitudes | Daniel C. Amorese |
| grwat | 0.0.4 | River Hydrograph Separation and Analysis | Timofey Samsonov |
| GSA | 1.03.2 | Gene Set Analysis | Rob Tibshirani |
| GSA.UN | 1.0.0 | Global Sensitivity Analysis Tool | Camila Garcia-Echeverri |
| GSAfisherCombined | 1.0 | Gene Set Analysis with Fisher Combined Method | Carlos Garcia Prieto |
| gsalib | 2.2.1 | Utility Functions for 'GATK' | Louis Bergelson |
| GSAQ | 1.0 | Gene Set Analysis with QTL | Samarendra Das |
| gsarima | 0.1-5 | Two Functions for Generalized SARIMA Time Series Simulation | Olivier Briet |
| gsbDesign | 1.0-3 | Group Sequential Bayes Design | Bjoern Bornkamp |
| gsbm | 0.2.2 | Estimate Parameters in the Generalized SBM | Solenne Gaucher |
| gscaLCA | 0.0.5 | Generalized Structure Component Analysis- Latent Class Analysis
& Latent Class Regression | Seohee Park |
| gscounts | 0.1-4 | Group Sequential Designs with Negative Binomial Outcomes | Tobias Mütze |
| gscramble | 1.0.1 | Simulating Admixed Genotypes Without Replacement | Eric C. Anderson |
| GSD | 1.0.0 | Graph Signal Decomposition | Donghoh Kim |
| GSDA | 1.0 | Gene Set Distance Analysis (GSDA) | Xueyuan Cao |
| gsDesign | 3.6.2 | Group Sequential Design | Keaven Anderson |
| gsDesign2 | 1.1.2 | Group Sequential Design with Non-Constant Effect | Yujie Zhao |
| GSE | 4.2-1 | Robust Estimation in the Presence of Cellwise and Casewise
Contamination and Missing Data | Claudio Agostinelli |
| gsEasy | 1.5 | Gene Set Enrichment Analysis in R | Daniel Greene |
| GseaVis | 0.0.5 | Implement for 'GSEA' Enrichment Visualization | Jun Zhang <3219030654 at stu.cpu.edu.cn> |
| GSED | 2.6 | Group Sequential Enrichment Design | Marie-Karelle Riviere |
| gSeg | 1.0 | Graph-Based Change-Point Detection (g-Segmentation) | Hao Chen |
| GSelection | 0.1.0 | Genomic Selection | Sayanti Guha Majumdar |
| gsheet | 0.4.5 | Download Google Sheets Using Just the URL | Max Conway |
| gsignal | 0.3-5 | Signal Processing | Geert van Boxtel |
| gsisdecoder | 0.0.1 | High Efficient Functions to Decode NFL Player IDs | Sebastian Carl |
| gsl | 2.1-8 | Wrapper for the Gnu Scientific Library | Robin K. S. Hankin |
| gslnls | 1.2.0 | GSL Nonlinear Least-Squares Fitting | Joris Chau |
| gsloid | 0.2.0 | Global Sea Level and Oxygen Isotope Data | Ben Marwick |
| GSM | 1.3.2 | Gamma Shape Mixture | Sergio Venturini |
| gsMAMS | 0.7.1 | Group Sequential Designs of Multi-Arm Multi-Stage Trials | Tushar Patni |
| gsmoothr | 0.1.7 | Smoothing tools | Mark Robinson |
| GSMX | 1.3 | Multivariate Genomic Selection | Zhenyu Jia |
| GSODR | 4.0.0 | Global Surface Summary of the Day ('GSOD') Weather Data Client | Adam H. Sparks |
| gson | 0.1.0 | Base Class and Methods for 'gson' Format | Guangchuang Yu |
| GSparO | 1.0 | Group Sparse Optimization | Yaohua Hu |
| gspcr | 0.9.4.1 | Generalized Supervised Principal Component Regression | Edoardo Costantini |
| gsrs | 0.1.1 | A Group-Specific Recommendation System | Yifei Zhang |
| gsrsb | 1.2.1 | Group Sequential Refined Secondary Boundary | Jiangtao Gou |
| gss | 2.2-7 | General Smoothing Splines | Chong Gu |
| GSSE | 0.1 | Genotype-Specific Survival Estimation | Baosheng Liang |
| GSSTDA | 0.1.3 | Gene Structure Survival using Topological Data Analysis | Miriam Esteve |
| gstar | 0.1.0 | Generalized Space-Time Autoregressive Model | Ahmad Zaenal |
| gstat | 2.1-1 | Spatial and Spatio-Temporal Geostatistical Modelling, Prediction
and Simulation | Edzer Pebesma |
| gStream | 0.2.0 | Graph-Based Sequential Change-Point Detection for Streaming Data | Hao Chen |
| gstsm | 1.0.0 | Generalized Spatial-Time Sequence Miner | Antonio Castro |
| gsubfn | 0.7 | Utilities for Strings and Function Arguments | G. Grothendieck |
| gsw | 1.1-1 | Gibbs Sea Water Functions | Dan Kelley |
| GsymPoint | 1.1.2 | Estimation of the Generalized Symmetry Point, an Optimal
Cutpoint in Continuous Diagnostic Tests | Mónica López-Ratón |
| gsynth | 1.2.1 | Generalized Synthetic Control Method | Yiqing Xu |
| gt | 0.10.1 | Easily Create Presentation-Ready Display Tables | Richard Iannone |
| gt4ireval | 2.0 | Generalizability Theory for Information Retrieval Evaluation | Julián Urbano |
| gtable | 0.3.4 | Arrange 'Grobs' in Tables | Thomas Lin Pedersen |
| GTDL | 1.0.0 | The Generalized Time-Dependent Logistic Family | Jalmar Carrasco |
| gte | 1.2-3 | Generalized Turnbull's Estimator | Thierry Duchesne |
| gTests | 0.2 | Graph-Based Two-Sample Tests | Hao Chen |
| gTestsMulti | 0.1.1 | New Graph-Based Multi-Sample Tests | Hoseung Song |
| gtExtras | 0.5.0 | Extending 'gt' for Beautiful HTML Tables | Thomas Mock |
| gtexture | 1.0.0 | Generalized Application of Co-Occurrence Matrices and Haralick
Texture | Rowan Barker-Clarke |
| gtfs2emis | 0.1.0 | Estimating Public Transport Emissions from General Transit Feed
Specification (GTFS) Data | Joao Bazzo |
| gtfs2gps | 2.1-1 | Converting Transport Data from GTFS Format to GPS-Like Records | Pedro R. Andrade |
| gtfsio | 1.1.1 | Read and Write General Transit Feed Specification (GTFS) Files | Daniel Herszenhut |
| gtfsrouter | 0.1.2 | Routing with 'GTFS' (General Transit Feed Specification) Data | Mark Padgham |
| gtfstools | 1.2.0 | General Transit Feed Specification (GTFS) Editing and Analysing
Tools | Daniel Herszenhut |
| gtheory | 0.1.2 | Apply Generalizability Theory with R | Christopher T. Moore |
| gto | 0.1.1 | Insert 'gt' Tables into Word Documents | Ellis Hughes |
| gtools | 3.9.5 | Various R Programming Tools | Ben Bolker |
| gtranslate | 0.0.1 | Translate Between Different Languages | Mohamed El-Desouky |
| gtreg | 0.3.0 | Regulatory Tables for Clinical Research | Shannon Pileggi |
| gtrendsR | 1.5.1 | Perform and Display Google Trends Queries | Philippe Massicotte |
| gtsummary | 1.7.2 | Presentation-Ready Data Summary and Analytic Result Tables | Daniel D. Sjoberg |
| gtWAS | 1.1.0 | Genome and Transcriptome Wide Association Study | JunhuiLi |
| guaguas | 0.3.0 | Nombres Inscritos en Chile (1920 - 2021) | Riva Quiroga |
| guardianapi | 0.1.1 | Access 'The Guardian' Newspaper Open Data API | Evan Odell |
| Guerry | 1.8.3 | Maps, Data and Methods Related to Guerry (1833) "Moral
Statistics of France" | Michael Friendly |
| guess | 0.1 | Adjust Estimates of Learning for Guessing | Gaurav Sood |
| GUIDE | 1.2.7 | GUI for DErivatives in R | S Subramanian |
| guidedPLS | 1.0.0 | Supervised Dimensional Reduction by Guided Partial Least Squares | Koki Tsuyuzaki |
| guildai | 0.0.1 | Track Machine Learning Experiments | Tomasz Kalinowski |
| GUILDS | 1.4.6 | Implementation of Sampling Formulas for the Unified Neutral
Model of Biodiversity and Biogeography, with or without Guild
Structure | Thijs Janzen |
| guiplot | 0.5.0 | User-Friendly GUI Plotting Tools | Fu Yongchao <3212418315 at qq.com> |
| GUIProfiler | 2.0.1 | Graphical User Interface for Rprof() | Fernando de Villar |
| guix.install | 1.0.0 | Install R Packages with GNU Guix | Ricardo Wurmus |
| gumbel | 1.10-2 | The Gumbel-Hougaard Copula | Christophe Dutang |
| gumboot | 1.0.1 | Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit
Statistics | Kevin Shook |
| GUniFrac | 1.8 | Generalized UniFrac Distances, Distance-Based Multivariate
Methods and Feature-Based Univariate Methods for Microbiome
Data Analysis | Jun Chen |
| gunit | 1.0.2 | Converts Conductance Units | Chris Muir |
| gunsales | 0.1.2 | Statistical Analysis of Monthly Background Checks of Gun
Purchases | Dirk Eddelbuettel |
| gustave | 1.0.0 | A User-Oriented Statistical Toolkit for Analytical Variance
Estimation | Khaled Larbi |
| gutenbergr | 0.2.4 | Download and Process Public Domain Works from Project Gutenberg | Myfanwy Johnston |
| GUTS | 1.2.5 | Fast Calculation of the Likelihood of a Stochastic Survival
Model | Oliver Jakoby |
| GVARX | 1.4 | Perform Global Vector Autoregression Estimation and Inference | Ho Tsung-wu |
| gvc | 6.4.0 | Global Value Chains Tools | Bastiaan Quast |
| gvcR | 0.1.0 | Genotypic Variance Components | Muhammad Yaseen |
| gvlma | 1.0.0.3 | Global Validation of Linear Models Assumptions | Elizabeth Slate |
| GWalkR | 0.1.3 | Interactive Exploratory Data Analysis Tool | Yue Yu |
| gwaRs | 0.3.0 | Manhattan, Q-Q, and PCA Plots using 'ggplot2' | Lindokuhle Nkambule |
| GWASbyCluster | 0.1.7 | Identifying Significant SNPs in Genome Wide Association Studies
(GWAS) via Clustering | Li Xing |
| GWASExactHW | 1.2 | Exact Hardy-Weinburg Testing for Genome Wide Association Studies | Stephanie Gogarten |
| gwasforest | 1.0.0 | Make Forest Plot with GWAS Data | Yili Xu |
| GWASinlps | 2.2 | Non-Local Prior Based Iterative Variable Selection Tool for
Genome-Wide Association Studies | Nilotpal Sanyal |
| GWASinspector | 1.6.5 | Comprehensive and Easy to Use Quality Control of GWAS Results | Alireza Ani |
| gwasrapidd | 0.99.17 | 'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog | Ramiro Magno |
| gwavr | 0.2.0 | Get Water Attributes Visually in R | Joshua Erickson |
| gwbr | 1.0.5 | Local and Global Beta Regression | Roberto Marques |
| GWEX | 1.1.3 | Multi-Site Stochastic Models for Daily Precipitation and
Temperature | Guillaume Evin |
| GWI | 1.0.2 | Count and Continuous Generalized Variability Indexes | Aboubacar Y. Touré |
| gwid | 0.1.0 | Genome-Wide Identity-by-Descent | Soroush Mahmoudiandehkordi |
| gWidgets2 | 1.0-9 | Rewrite of gWidgets API for Simplified GUI Construction | John Verzani |
| gWidgets2tcltk | 1.0-8 | Toolkit Implementation of gWidgets2 for tcltk | John Verzani |
| GWLelast | 1.2.2 | Geographically Weighted Logistic Elastic Net Regression | Daisuke Yoneoka |
| GWmodel | 2.3-2 | Geographically-Weighted Models | Binbin Lu |
| GWnnegPCA | 0.0.4 | Geographically Weighted Non-Negative Principal Components
Analysis | Narumasa Tsutsumida |
| GWpcor | 0.1.7 | Geographically Weighted Partial Correlation Coefficient | Narumasa Tsutsumida |
| gwpcormapper | 0.1.3 | Geographically Weighted Partial Correlation Mapper | Joseph Emile Honour Percival |
| gWQS | 3.0.5 | Generalized Weighted Quantile Sum Regression | Stefano Renzetti |
| GWRLASSO | 0.1.0 | A Hybrid Model for Spatial Prediction Through Local Regression | Nobin Chandra Paul |
| GWRM | 2.1.0.4 | Generalized Waring Regression Model for Count Data | Silverio Vilchez-Lopez |
| gwrpvr | 1.0 | Genome-Wide Regression P-Value (Gwrpv) | Michael O'Neill |
| gwrr | 0.2-2 | Fits Geographically Weighted Regression Models with Diagnostic
Tools | David Wheeler |
| GWSDAT | 3.2.1 | GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) | Wayne Jones |
| GWsignif | 1.2 | Estimating Genome-Wide Significance for Whole Genome Sequencing
Studies, Either Single SNP Tests or Region-Based Tests | ChangJiang Xu |
| GxEprs | 1.1 | Genotype-by-Environment Interaction in Polygenic Score Models | Dovini Jayasinghe |
| GxEScanR | 2.0.2 | Run GWAS/GWEIS Scans Using Binary Dosage Files | John Morrison |
| gym | 0.1.0 | Provides Access to the OpenAI Gym API | Paul Hendricks |
| gyro | 1.4.0 | Hyperbolic Geometry | Stéphane Laurent |
| h0 | 1.0.1 | A Robust Bayesian Meta-Analysis for Estimating the Hubble
Constant via Time Delay Cosmography | Hyungsuk Tak |
| h2o | 3.44.0.3 | R Interface for the 'H2O' Scalable Machine Learning Platform | Tomas Fryda |
| h2o4gpu | 0.3.3 | Interface to 'H2O4GPU' | Navdeep Gill |
| h2otools | 0.3 | Machine Learning Model Evaluation for 'h2o' Package | E. F. Haghish |
| H2x2Factorial | 2.0.0 | Sample Size Calculation in Hierarchical 2x2 Factorial Trials | Zizhong Tian |
| h3jsr | 1.3.1 | Access Uber's H3 Library | Lauren O'Brien |
| h3lib | 0.1.3 | Exposes the 'Uber' 'H3' Library to R Packages | David Cooley |
| h3r | 0.1.1 | Hexagonal Hierarchical Geospatial Indexing System | David Cooley |
| haarfisz | 4.5.4 | Software to Perform Haar Fisz Transforms | Guy Nason |
| habCluster | 1.0.5 | Detecting Spatial Clustering Based on Connection Cost Between
Grids | Qiang Dai |
| hablar | 0.3.2 | Non-Astonishing Results in R | David Sjoberg |
| habtools | 1.0.5 | Tools and Metrics for 3D Surfaces and Objects | Nina Schiettekatte |
| HAC | 1.1-0 | Estimation, Simulation and Visualization of Hierarchical
Archimedean Copulae (HAC) | Martin Waltz |
| hackeRnews | 0.1.0 | Wrapper for the 'Official Hacker News' API | Ryszard Szymanski |
| hacksaw | 0.0.2 | Additional Tools for Splitting and Cleaning Data | David Ranzolin |
| hacksig | 0.1.2 | A Tidy Framework to Hack Gene Expression Signatures | Andrea Carenzo |
| HACSim | 1.0.6-1 | Iterative Extrapolation of Species' Haplotype Accumulation
Curves for Genetic Diversity Assessment | Jarrett D. Phillips |
| HadamardR | 1.0.0 | Hadamard Matrix Generation | Appavoo Dhandapani |
| HaDeX | 1.2.2 | Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass
Spectrometry Data | Weronika Puchala |
| HadIBDs | 1.0.0 | Incomplete Block Designs using Hadamard Matrix (HadIBDs) | Ashutosh Dalal |
| hagis | 3.1.11 | Analysis of Plant Pathogen Pathotype Complexities, Distributions
and Diversity | Adam H. Sparks |
| hahmmr | 1.0.0 | Haplotype-Aware Hidden Markov Model for RNA | Teng Gao |
| hakaiApi | 1.0.2 | Authenticated HTTP Request Client for the 'Hakai' API | Taylor Denouden |
| hal9001 | 0.4.6 | The Scalable Highly Adaptive Lasso | Jeremy Coyle |
| haldensify | 0.2.3 | Highly Adaptive Lasso Conditional Density Estimation | Nima Hejazi |
| halfcircle | 0.1.0 | Plot Halfcircle Diagram | Sohyun Park |
| halfmoon | 0.1.0 | Techniques to Build Better Balance | Malcolm Barrett |
| halk | 0.0.5 | Methods to Create Hierarchical Age Length Keys for Age
Assignment | Paul Frater |
| hamlet | 0.9.6 | Hierarchical Optimal Matching and Machine Learning Toolbox | Teemu Daniel Laajala |
| handcodeR | 0.1.2 | Text Annotation App | Lukas Isermann |
| handlr | 0.3.0 | Convert Among Citation Formats | Scott Chamberlain |
| HandTill2001 | 1.0.1 | Multiple Class Area under ROC Curve | Andreas Dominik Cullmann |
| handwriter | 3.0.0 | Handwriting Analysis in R | Stephanie Reinders |
| handyFunctions | 0.1.0 | Useful Functions for Handfully Manipulating and Analyzing Data
with Data.frame Format | Hongfei Liu |
| handyplots | 1.1.3 | Handy Plots | Jonathan Schwartz |
| hans | 0.1 | Haversines are not Slow | Alex Hallam |
| hansard | 0.8.0 | Provides Easy Downloading Capabilities for the UK Parliament API | Evan Odell |
| HanStat | 0.90.0 | Package for Easy Interpretation of Statistical Methods | Konrad Krahl |
| hapassoc | 1.2-9 | Inference of Trait Associations with SNP Haplotypes and Other
Attributes using the EM Algorithm | K. Burkett |
| Hapi | 0.0.3 | Inference of Chromosome-Length Haplotypes Using Genomic Data of
Single Gamete Cells | Ruidong Li |
| Haplin | 7.3.1 | Analyzing Case-Parent Triad and/or Case-Control Data with SNP
Haplotypes | Hakon K. Gjessing |
| haplo.ccs | 1.3.2 | Estimate Haplotype Relative Risks in Case-Control Data | Benjamin French |
| haplo.stats | 1.9.5.1 | Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguous | Jason P. Sinnwell |
| HaploCatcher | 1.0.4 | A Predictive Haplotyping Package | Zachary Winn |
| haploR | 4.0.7 | Query 'HaploReg', 'RegulomeDB' | Ilya Y. Zhbannikov |
| HaploSim | 1.8.4.2 | Functions to Simulate Haplotypes | Albart Coster |
| haplotyper | 0.1 | Tool for Clustering Genotypes in Haplotypes | Gaston Quero |
| haplotypes | 1.1.3.1 | Manipulating DNA Sequences and Estimating Unambiguous Haplotype
Network with Statistical Parsimony | Caner Aktas |
| happign | 0.2.2 | R Interface to 'IGN' Web Services | Paul Carteron |
| happytime | 0.1.0 | Two Games to Relieve the Boredom | Xiuwen Wang |
| hapsim | 0.31 | Haplotype Data Simulation | Apostolos Dimitromanolakis |
| harbinger | 1.0.767 | A Unified Time Series Event Detection Framework | Eduardo Ogasawara |
| hardhat | 1.3.1 | Construct Modeling Packages | Davis Vaughan |
| HardyWeinberg | 1.7.8 | Statistical Tests and Graphics for Hardy-Weinberg Equilibrium | Jan Graffelman |
| harmonicmeanp | 3.0.1 | Harmonic Mean p-Values and Model Averaging by Mean Maximum
Likelihood | Daniel Wilson |
| harmonizer | 0.3.2 | Harmonizing CN8 and PC8 Product Codes | Christoph Baumgartner |
| harmony | 1.2.0 | Fast, Sensitive, and Accurate Integration of Single Cell Data | Ilya Korsunsky |
| harmonydata | 0.1.1 | R Library for 'Harmony' | Omar Hassoun |
| harrietr | 0.2.3 | Wrangle Phylogenetic Distance Matrices and Other Utilities | Anders Gonçalves da Silva |
| harrypotter | 2.1.1 | Palettes Generated from All "Harry Potter" Movies | Alejandro Jimenez Rico |
| Harvest.Tree | 1.1 | Harvest the Classification Tree | Bingyuan Liu |
| hash | 2.2.6.3 | Full Featured Implementation of Hash Tables/Associative
Arrays/Dictionaries | John Hughes |
| hashids | 0.9.0 | Generate Short Unique YouTube-Like IDs (Hashes) from Integers | Alex Shum |
| hashr | 0.1.4 | Hash R Objects to Integers Fast | Mark van der Loo |
| Hassani.SACF | 2.0 | Computing Lower Bound of Ljung-Box Test | Leila Marvian Mashhad |
| Hassani.Silva | 1.0 | A Test for Comparing the Predictive Accuracy of Two Sets of
Forecasts | Leila Marvian Mashhad |
| hasseDiagram | 0.2.0 | Drawing Hasse Diagram | Krzysztof Ciomek |
| haven | 2.5.4 | Import and Export 'SPSS', 'Stata' and 'SAS' Files | Hadley Wickham |
| hawkes | 0.0-4 | Hawkes process simulation and calibration toolkit | Riadh Zaatour |
| hawkesbow | 1.0.3 | Estimation of Hawkes Processes from Binned Observations | Felix Cheysson |
| HazardDiff | 0.1.0 | Conditional Treatment Effect for Competing Risks | Denise Rava |
| hazer | 1.1.1 | Identifying Foggy and Cloudy Images by Quantifying Haziness | Bijan Seyednasrollah |
| hbal | 1.2.12 | Hierarchically Regularized Entropy Balancing | Yiqing Xu |
| hbamr | 2.3.0 | Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan' | Jørgen Bølstad |
| hBayesDM | 1.2.1 | Hierarchical Bayesian Modeling of Decision-Making Tasks | Woo-Young Ahn |
| hbbr | 1.1.2 | Hierarchical Bayesian Benefit-Risk Assessment Using Discrete
Choice Experiment | Saurabh Mukhopadhyay |
| hbim | 1.1.2 | Hill/Bliss Independence Model for Combination Vaccines | Michael P. Fay |
| hbmem | 0.3-4 | Hierarchical Bayesian Analysis of Recognition Memory | Mike Pratte |
| hbsae | 1.2 | Hierarchical Bayesian Small Area Estimation | Harm Jan Boonstra |
| HBSTM | 1.0.2 | Hierarchical Bayesian Space-Time Models for Gaussian Space-Time
Data | Alberto Lopez Moreno |
| HBV.IANIGLA | 0.2.6 | Modular Hydrological Model | Ezequiel Toum |
| hcandersenr | 0.2.0 | H.C. Andersens Fairy Tales | Emil Hvitfeldt |
| hcci | 1.1.0 | Interval Estimation of Linear Models with Heteroskedasticity | Pedro Rafael Diniz Marinho |
| HCD | 1.0 | Hierarchical Community Detection by Recursive Partitioning | Tianxi Li |
| hce | 0.6.0 | Design and Analysis of Hierarchical Composite Endpoints | Samvel B. Gasparyan |
| hchinamap | 0.1.0 | Mapping China and Its Provinces | Zhenxing Cheng |
| hcidata | 0.1.0 | HCI Datasets | Henning Pohl |
| hclust1d | 0.1.1 | Hierarchical Clustering of Univariate (1d) Data | Szymon Nowakowski |
| HCmodelSets | 1.1.3 | Regression with a Large Number of Potential Explanatory
Variables | H. Battey |
| HCR | 0.1.1 | Causal Discovery from Discrete Data using Hidden Compact
Representation | Jie Qiao |
| HCT | 0.1.3 | Calculates Significance Criteria and Power for a Single Arm
Trial | David A. Schoenfeld |
| HCTDesign | 0.7.2 | Group Sequential Design for Historical Control Trial with
Survival Outcome | Tushar Patni |
| HCTR | 0.1.1 | Higher Criticism Tuned Regression | Tao Jiang |
| hctrial | 0.1.0 | Using Historical Controls for Designing Phase II Clinical Trials | Dominic Edelmann |
| hda | 0.2-14 | Heteroscedastic Discriminant Analysis | Gero Szepannek |
| hdbayes | 0.0.3 | Bayesian Analysis of Generalized Linear Models with Historical
Data | Ethan M. Alt |
| hdbinseg | 1.0.2 | Change-Point Analysis of High-Dimensional Time Series via Binary
Segmentation | Haeran Cho |
| hdbm | 0.9.0 | High Dimensional Bayesian Mediation Analysis | Alexander Rix |
| hdbma | 1.0 | Bayesian Mediation Analysis with High-Dimensional Data | Qingzhao Yu |
| HDBRR | 1.1.4 | High Dimensional Bayesian Ridge Regression without MCMC | Blanca Monroy-Castillo Developer |
| hdcate | 0.1.0 | Estimation of Conditional Average Treatment Effects with
High-Dimensional Data | Qingliang Fan |
| HDCD | 1.0 | High-Dimensional Changepoint Detection | Per August Jarval Moen |
| HDCI | 1.0-2 | High Dimensional Confidence Interval Based on Lasso and
Bootstrap | Xin Xu |
| HDclassif | 2.2.1 | High Dimensional Supervised Classification and Clustering | Laurent Berge |
| HDclust | 1.0.3 | Clustering High Dimensional Data with Hidden Markov Model on
Variable Blocks | Jia Li |
| HDcpDetect | 0.1.0 | Detect Change Points in Means of High Dimensional Data | Natasha Stewart |
| HDCurves | 0.1.2 | Hierarchical Derivative Curve Estimation | Garritt L. Page |
| hdd | 0.1.1 | Easy Manipulation of Out of Memory Data Sets | Laurent Berge |
| HDDesign | 1.1 | Sample Size Calculation for High Dimensional Classification
Study | Brisa N. Sanchez |
| hddplot | 0.59-2 | Use Known Groups in High-Dimensional Data to Derive Scores for
Plots | John Maindonald |
| hdf5r | 1.3.10 | Interface to the 'HDF5' Binary Data Format | Holger Hoefling |
| hdf5r.Extra | 0.0.5 | Extensions for 'HDF5' R Interfaces | Yuchen Li |
| hdflex | 0.2.1 | High-Dimensional Aggregate Density Forecasts | Sven Lehmann |
| hdfqlr | 0.6-2 | Interface to 'HDFql' API | Michael Koohafkan |
| HDGLM | 0.1 | Tests for High Dimensional Generalized Linear Models | Bin Guo |
| hdi | 0.1-9 | High-Dimensional Inference | Lukas Meier |
| hdImpute | 0.2.1 | A Batch Process for High Dimensional Imputation | Philip Waggoner |
| HDInterval | 0.2.4 | Highest (Posterior) Density Intervals | Ngumbang Juat |
| HDiR | 1.1.3 | Directional Highest Density Regions | Paula Saavedra-Nieves |
| hdiVAR | 1.0.2 | Statistical Inference for Noisy Vector Autoregression | Xiang Lyu |
| HDJM | 0.1.0 | Penalized High-Dimensional Joint Model | Jiehuan Sun |
| HDLSSkST | 2.1.0 | Distribution-Free Exact High Dimensional Low Sample Size
k-Sample Tests | Biplab Paul |
| hdm | 0.3.2 | High-Dimensional Metrics | Martin Spindler |
| HDMAADMM | 0.0.1 | ADMM for High-Dimensional Mediation Models | Pei-Shan Yen |
| hdme | 0.6.0 | High-Dimensional Regression with Measurement Error | Oystein Sorensen |
| hdmed | 1.0.0 | Methods for Mediation Analysis with High-Dimensional Mediators | Dylan Clark-Boucher |
| HDMFA | 0.1.1 | High-Dimensional Matrix Factor Analysis | Ran Zhao |
| HDMT | 1.0.5 | A Multiple Testing Procedure for High-Dimensional Mediation
Hypotheses | James Dai |
| hdnom | 6.0.3 | Benchmarking and Visualization Toolkit for Penalized Cox Models | Nan Xiao |
| HDNRA | 1.0.0 | High-Dimensional Location Testing with Normal-Reference
Approaches | Pengfei Wang |
| HDOMDesign | 1.0-1 | High-Dimensional Orthogonal Maximin Distance Designs | Xu He |
| HDoutliers | 1.0.4 | Leland Wilkinson's Algorithm for Detecting Multidimensional
Outliers | Chris Fraley |
| hdpca | 1.1.5 | Principal Component Analysis in High-Dimensional Data | Rounak Dey |
| hdpGLM | 1.0.3 | Hierarchical Dirichlet Process Generalized Linear Models | Diogo Ferrari |
| hdrcde | 3.4 | Highest Density Regions and Conditional Density Estimation | Rob Hyndman |
| HDRFA | 0.1.4 | High-Dimensional Robust Factor Analysis | Dong Liu |
| hds | 0.8.1 | Hazard Discrimination Summary | C. Jason Liang |
| HDShOP | 0.1.5 | High-Dimensional Shrinkage Optimal Portfolios | Dmitry Otryakhin |
| HDSinRdata | 0.1.1 | Data for the 'Mastering Health Data Science Using R' Online
Textbook | Alice Paul |
| HDSpatialScan | 1.0.4 | Multivariate and Functional Spatial Scan Statistics | Camille FREVENT |
| HDStIM | 0.1.0 | High Dimensional Stimulation Immune Mapping ('HDStIM') | Rohit Farmer |
| HDTSA | 1.0.2 | High Dimensional Time Series Analysis Tools | Chen Lin |
| HDtweedie | 1.2 | The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD
Algorithm | Wei Qian |
| headliner | 0.0.3 | Compose Sentences to Describe Comparisons | Jake Riley |
| HealthCal | 0.1.1 | Health Calculator | Pankaj Das |
| healthcare.antitrust | 0.1.4 | Healthcare Antitrust Analysis | Matthew T Panhans |
| healthfinance | 0.1.0 | Financial Projections and Planning for Health Care Practices | Raoul Wadhwa |
| healthyAddress | 0.2.0 | Convert Addresses to Standard Inputs | Hugh Parsonage |
| healthyR | 0.2.1 | Hospital Data Analysis Workflow Tools | Steven Sanderson |
| healthyR.ai | 0.0.13 | The Machine Learning and AI Modeling Companion to 'healthyR' | Steven Sanderson |
| healthyR.data | 1.0.3 | Data Only Package to 'healthyR' | Steven Sanderson |
| healthyR.ts | 0.3.0 | The Time Series Modeling Companion to 'healthyR' | Steven Sanderson |
| healthyverse | 1.0.4 | Easily Install and Load the 'healthyverse' | Steven Sanderson |
| heapsofpapers | 0.1.0 | Easily Download Heaps of PDF and CSV Files | Rohan Alexander |
| heatex | 1.0 | Heat exchange calculations during physical activity. | Kerry Atkins |
| heatmap3 | 1.1.9 | An Improved Heatmap Package | Shilin Zhao |
| heatmapFit | 2.0.4 | Fit Statistic for Binary Dependent Variable Models | Justin Esarey |
| heatmapFlex | 0.1.2 | Tools to Generate Flexible Heatmaps | Vidal Fey |
| heatmaply | 1.5.0 | Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2' | Tal Galili |
| heatwaveR | 0.4.6 | Detect Heatwaves and Cold-Spells | Robert W. Schlegel |
| HeckmanEM | 0.2-1 | Fit Normal, Student-t or Contaminated Normal Heckman Selection
Models | Marcos Prates |
| HEDA | 0.1.5 | 'Hydropeaking Events Detection Algorithm' | Tingyu Li |
| heddlr | 0.6.0 | Dynamic R Markdown Document Generation | Michael Mahoney |
| hedgehog | 0.1 | Property-Based Testing | Huw Campbell |
| heemod | 1.0.1 | Markov Models for Health Economic Evaluations | Kevin Zarca |
| heims | 0.4.0 | Decode and Validate HEIMS Data from Department of Education,
Australia | Hugh Parsonage |
| helixvis | 1.0.1 | Visualize Alpha-Helical Peptide Sequences | Raoul Wadhwa |
| HellCor | 1.3 | The Hellinger Correlation | Pierre Lafaye De Micheaux |
| hellno | 0.0.1 | Providing 'stringsAsFactors=FALSE' Variants of 'data.frame()'
and 'as.data.frame()' | Peter Meissner |
| helloJavaWorld | 0.0-9 | Hello Java World | Tobias Verbeke |
| hellorust | 1.2.0 | Minimal Examples of Using Rust Code in R | Jeroen Ooms |
| helminthR | 1.0.10 | Access London Natural History Museum Host-Helminth Record
Database | Tad Dallas |
| HelpersMG | 6.1 | Tools for Environmental Analyses, Ecotoxicology and Various R
Functions | Marc Girondot |
| helsinki | 1.0.6 | R Tools for Helsinki Open Data | Juuso Parkkinen |
| HEMDAG | 2.7.4 | Hierarchical Ensemble Methods for Directed Acyclic Graphs | Marco Notaro |
| hemispheR | 1.1.4 | Processing Hemispherical Canopy Images | Francesco Chianucci |
| heplots | 1.6.2 | Visualizing Hypothesis Tests in Multivariate Linear Models | Michael Friendly |
| here | 1.0.1 | A Simpler Way to Find Your Files | Kirill Müller |
| hereR | 1.0.0 | 'sf'-Based Interface to the 'HERE' REST APIs | Merlin Unterfinger |
| heritability | 1.4 | Marker-Based Estimation of Heritability Using Individual Plant
or Plot Data | Willem Kruijer |
| HeritSeq | 1.0.2 | Heritability of Gene Expression for Next-Generation Sequencing | W. Jenny Shi |
| hermite | 1.1.2 | Generalized Hermite Distribution | David Moriña Soler |
| hermiter | 2.3.1 | Efficient Sequential and Batch Estimation of Univariate and
Bivariate Probability Density Functions and Cumulative
Distribution Functions along with Quantiles (Univariate) and
Nonparametric Correlation (Bivariate) | Michael Stephanou |
| hero | 0.6 | Spatio-Temporal (Hero) Sandwich Smoother | Joshua French |
| hesim | 0.5.4 | Health Economic Simulation Modeling and Decision Analysis | Devin Incerti |
| HeterFunctionalData | 0.1.0 | Test of No Main and/or Interaction Effects in Functional Data | Haiyan Wang |
| heterogen | 1.2.33 | Spatial Functions for Heterogeneity and Climate Variability | P.Joser Atauchi |
| HeteroGGM | 1.0.1 | Gaussian Graphical Model-Based Heterogeneity Analysis | Mingyang Ren |
| heterometa | 0.2 | Convert Various Meta-Analysis Heterogeneity Measures | Michael Dewey |
| heteromixgm | 1.0.0 | Copula Graphical Models for Heterogeneous Mixed Data | Sjoerd Hermes |
| hetGP | 1.1.6 | Heteroskedastic Gaussian Process Modeling and Design under
Replication | Mickael Binois |
| HEtools | 1.0.0 | Homomorphic Encryption Polynomials | Bastiaan Quast |
| HETOP | 0.2-6 | MLE and Bayesian Estimation of Heteroskedastic Ordered Probit
(HETOP) Model | J.R. Lockwood |
| hetsurr | 1.0 | Assessing Heterogeneity in the Utility of a Surrogate Marker | Layla Parast |
| hett | 0.3-3 | Heteroscedastic t-Regression | Julian Taylor |
| hettest | 1.0 | Testing for a Treatment Effect Using a Heterogeneous Surrogate
Marker | Layla Parast |
| hettreatreg | 0.1.0 | Heterogeneous Treatment Effects in Regression Analysis | Mark McAvoy |
| hettx | 0.1.3 | Fisherian and Neymanian Methods for Detecting and Measuring
Treatment Effect Variation | Ben Fifield |
| hetu | 1.0.7 | Structural Handling of Finnish Personal Identity Codes | Pyry Kantanen |
| heumilkr | 0.2.0 | Heuristic Capacitated Vehicle Routing Problem Solver | Lukas Schneiderbauer |
| heuristica | 1.0.3 | Heuristics Including Take the Best and Unit-Weight Linear | Jean Whitmore |
| heuristicsmineR | 0.3.0 | Discovery of Process Models with the Heuristics Miner | Felix Mannhardt |
| hexbin | 1.28.3 | Hexagonal Binning Routines | Edzer Pebesma |
| hexFinder | 0.8.2 | Find Hex Logos for CRAN Packages | Pedro Silva |
| hexfont | 0.4.0 | 'GNU Unifont' Hex Fonts | Trevor L Davis |
| hexSticker | 0.4.9 | Create Hexagon Sticker in R | Guangchuang Yu |
| HextractoR | 1.4 | Integrated Tool for Hairping Extraction of RNA Sequences | Cristian Yones |
| hextri | 0.9.17 | Hexbin Plots with Triangles | Thomas Lumley |
| hexView | 0.3-4 | Viewing Binary Files | Paul Murrell |
| hfhub | 0.1.1 | Hugging Face Hub Interface | Daniel Falbel |
| hflights | 0.1 | Flights that departed Houston in 2011 | Hadley Wickham |
| hfr | 0.7.1 | Estimate Hierarchical Feature Regression Models | Johann Pfitzinger |
| hglasso | 1.3 | Learning Graphical Models with Hubs | Kean Ming Tan |
| hglm | 2.2-1 | Hierarchical Generalized Linear Models | Xia Shen |
| hglm.data | 1.0-1 | Data for the 'hglm' Package | Xia Shen |
| hgm | 1.23 | Holonomic Gradient Method and Gradient Descent | Nobuki Takayama |
| HGMND | 0.1.0 | Heterogeneous Graphical Model for Non-Negative Data | Jiaqi Zhang |
| hgnc | 0.1.4 | Download and Import the HUGO Gene Nomenclature Committee
('HGNC') Data Set into R | Ramiro Magno |
| HGraph | 0.1.0 | Use Graph Structure to Travel | Jinan Pang |
| HGSL | 1.0.0 | Heterogeneous Group Square-Root Lasso | Yongjian Kang |
| hgutils | 0.2.11 | Collection of Utility Functions | H.G. van den Boorn |
| hgwrr | 0.3-0 | Hierarchical and Geographically Weighted Regression | Yigong Hu |
| HH | 3.1-52 | Statistical Analysis and Data Display: Heiberger and Holland | Richard M. Heiberger |
| hhh4contacts | 0.13.3 | Age-Structured Spatio-Temporal Models for Infectious Disease
Counts | Sebastian Meyer |
| hhi | 1.2.0 | Calculate and Visualize the Herfindahl-Hirschman Index | Philip D. Waggoner |
| HhP | 1.0.0 | Hierarchical Heterogeneity Analysis via Penalization | Mingyang Ren |
| hhsmm | 0.3.6 | Hidden Hybrid Markov/Semi-Markov Model Fitting | Morteza Amini |
| hht | 2.1.6 | The Hilbert-Huang Transform: Tools and Methods | Daniel C. Bowman |
| hibayes | 3.0.3 | Individual-Level, Summary-Level and Single-Step Bayesian
Regression Model | Lilin Yin |
| HiClimR | 2.2.1 | Hierarchical Climate Regionalization | Hamada S. Badr |
| hicp | 0.4.2 | Harmonised Index of Consumer Prices | Sebastian Weinand |
| hiddenf | 2.0 | The All-Configurations, Maximum-Interaction F-Test for Hidden
Additivity | Jason A. Osborne |
| HiddenMarkov | 1.8-13 | Hidden Markov Models | David Harte |
| hidecan | 1.1.0 | Create HIDECAN Plots for Visualising Genome-Wide Association
Studies and Differential Expression Results | Olivia Angelin-Bonnet |
| HiDimDA | 0.2-6 | High Dimensional Discriminant Analysis | Antonio Pedro Duarte Silva |
| hierarchicalSets | 1.0.4 | Set Data Visualization Using Hierarchies | Thomas Lin Pedersen |
| hierBipartite | 0.0.2 | Bipartite Graph-Based Hierarchical Clustering | Calvin Chi |
| hierfstat | 0.5-11 | Estimation and Tests of Hierarchical F-Statistics | Jerome Goudet |
| hierNet | 1.9 | A Lasso for Hierarchical Interactions | Jacob Bien |
| HierPortfolios | 1.0.0 | Hierarchical Clustering-Based Portfolio Allocation Strategies | Carlos Trucios |
| hierSDR | 0.1 | Hierarchical Sufficient Dimension Reduction | Jared Huling |
| highcharter | 0.9.4 | A Wrapper for the 'Highcharts' Library | Joshua Kunst |
| highDmean | 0.1.0 | Testing Two-Sample Mean in High Dimension | Huaiyu Zhang |
| HighestMedianRules | 1.0 | Implementation of Voting Rules Electing the Candidate with
Highest Median Grade | Adrien Fabre |
| highfrequency | 1.0.1 | Tools for Highfrequency Data Analysis | Kris Boudt |
| highlight | 0.5.1 | Syntax Highlighter | Hadley Wickham |
| highlighter | 0.1 | Code Syntax Highlighting using the 'Prism.js' Library | Federico Rivadeneira |
| highlightHTML | 0.2.5 | Highlight HTML Text and Tables | Brandon LeBeau |
| highmean | 3.0 | Two-Sample Tests for High-Dimensional Mean Vectors | Lifeng Lin |
| highMLR | 0.1.1 | Feature Selection for High Dimensional Survival Data | Atanu Bhattacharjee |
| highOrderPortfolios | 0.1.1 | Design of High-Order Portfolios Including Skewness and Kurtosis | Daniel P. Palomar |
| highr | 0.10 | Syntax Highlighting for R Source Code | Yihui Xie |
| highriskzone | 1.4.9 | Determining and Evaluating High-Risk Zones | Rickmer Schulte |
| highs | 0.1-10 | 'HiGHS' Optimization Solver | Florian Schwendinger |
| highSCREEN | 0.4 | High-Throughput Screening for Plate Based Essays | Ivo D. Shterev |
| hightR | 0.3.0 | HIGHT Algorithm | Yongwoo Kim |
| highTtest | 1.3 | Simultaneous Critical Values for t-Tests in Very High Dimensions | Shannon T. Holloway |
| higlasso | 0.9.0 | Hierarchical Integrative Group LASSO | Alexander Rix |
| higrad | 0.1.0 | Statistical Inference for Online Learning and Stochastic
Approximation via HiGrad | Yuancheng Zhu |
| hilbert | 0.2.1 | Coordinate Indexing on Hilbert Curves | Justin Singh-Mohudpur |
| hilbertSimilarity | 0.4.3 | Hilbert Similarity Index for High Dimensional Data | Yann Abraham |
| hildareadR | 0.2.0 | Extract Variables from HILDA | Sebastian Kalucza |
| hilldiv | 1.5.1 | Integral Analysis of Diversity Based on Hill Numbers | Antton Alberdi |
| hillR | 0.5.2 | Diversity Through Hill Numbers | Daijiang Li |
| hillshader | 0.1.2 | Create Hillshade Relief Maps Using Ray-Tracing | Pierre Roudier |
| HIMA | 2.2.1 | High-Dimensional Mediation Analysis | Yinan Zheng |
| himach | 0.3.2 | High Mach Finds Routes for Supersonic Aircraft | David Marsh |
| hindex | 0.2.0 | Simulating the Development of h-Index Values | Alexander Tekles |
| hindexcalculator | 1.0.0 | H-Index Calculator using Data from a Web of Science (WoS)
Citation Report | Sepand Alavifard |
| hint | 0.1-3 | Tools for Hypothesis Testing Based on Hypergeometric
Intersection Distributions | Alex T. Kalinka |
| hiphop | 0.0.1 | Parentage Assignment using Bi-Allelic Genetic Markers | Martijn van de Pol |
| hippie | 0.1.0 | Hippie Code Completion in 'RStudio' | Christopher Baker |
| hipread | 0.2.4 | Read Hierarchical Fixed Width Files | Derek Burk |
| HiResTEC | 0.62.3 | Non-Targeted Fluxomics on High-Resolution Mass-Spectrometry Data | Jan Lisec |
| hIRT | 0.3.0 | Hierarchical Item Response Theory Models | Xiang Zhou |
| hisse | 2.1.11 | Hidden State Speciation and Extinction | Jeremy Beaulieu |
| HistDat | 0.2.0 | Summary Statistics for Histogram/Count Data | Michael Milton |
| HistData | 0.9-1 | Data Sets from the History of Statistics and Data Visualization | Michael Friendly |
| HistDAWass | 1.0.8 | Histogram-Valued Data Analysis | Antonio Irpino |
| histmdl | 0.7-1 | A Most Informative Histogram-Like Model | Jouke Witteveen |
| histogram | 0.0-25 | Construction of Regular and Irregular Histograms with Different
Options for Automatic Choice of Bins | Thoralf Mildenberger |
| HistogramTools | 0.3.2 | Utility Functions for R Histograms | Murray Stokely |
| historicalborrow | 1.0.4 | Non-Longitudinal Bayesian Historical Borrowing Models | William Michael Landau |
| historicalborrowlong | 0.0.8 | Longitudinal Bayesian Historical Borrowing Models | William Michael Landau |
| historydata | 0.1 | Data Sets for Historians | Lincoln Mullen |
| histoslider | 0.1.1 | A Histogram Slider Input for 'Shiny' | Carson Sievert |
| hitandrun | 0.5-6 | "Hit and Run" and "Shake and Bake" for Sampling Uniformly from
Convex Shapes | Gert van Valkenhoef |
| hivdata | 0.1.0 | Six-Year Chronological Data of HIV and ART Cases in Pakistan | Muhammad Imran |
| hive | 0.2-2 | Hadoop InteractiVE | Stefan Theussl |
| HiveR | 0.3.63 | 2D and 3D Hive Plots for R | Bryan A. Hanson |
| hJAM | 1.0.0 | Hierarchical Joint Analysis of Marginal Summary Statistics | Lai Jiang |
| HK80 | 0.0.2 | Conversion Tools for HK80 Geographical Coordinate System | Jinlong Zhang |
| hkdatasets | 1.0.0 | Datasets Related to Hong Kong | Martin Chan |
| hkevp | 1.1.5 | Spatial Extreme Value Analysis with the Hierarchical Model of
Reich and Shaby (2012) | Leo Belzile |
| HKprocess | 0.1-1 | Hurst-Kolmogorov Process | Hristos Tyralis |
| HKRbook | 0.1.3 | Apps and Data for the Book "Introduction to Statistics" | Sigbert Klinke |
| hlaR | 1.0.0 | Tools for HLA Data | Joan Zhang |
| hlidacr | 0.2.0 | Access Data from the 'Hlídač Státu' API | Michael Škvrňák |
| HLMdiag | 0.5.0 | Diagnostic Tools for Hierarchical (Multilevel) Linear Models | Adam Loy |
| hlt | 1.3.1 | Higher-Order Item Response Theory | Michael Kleinsasser |
| HMB | 1.1 | Hierarchical Model-Based Estimation Approach | Svetlana Saarela |
| HMC | 1.0 | High Dimensional Mean Comparison with Projection and
Cross-Fitting | Tianyu Zhang |
| hmcdm | 2.1.1 | Hidden Markov Cognitive Diagnosis Models for Learning | Sunbeom Kwon |
| hmclearn | 0.0.5 | Fit Statistical Models Using Hamiltonian Monte Carlo | Samuel Thomas |
| HMDHFDplus | 2.0.3 | Read Human Mortality Database and Human Fertility Database Data
from the Web | Tim Riffe |
| hmeasure | 1.0-2 | The H-Measure and Other Scalar Classification Performance
Metrics | Christoforos Anagnostopoulos
|
| hmer | 1.5.6 | History Matching and Emulation Package | Andrew Iskauskas |
| Hmisc | 5.1-2 | Harrell Miscellaneous | Frank E Harrell Jr |
| HMM | 1.0.1 | Hidden Markov Models | Lin Himmelmann |
| hmm.discnp | 3.0-9 | Hidden Markov Models with Discrete Non-Parametric Observation
Distributions | Rolf Turner |
| HMMcopula | 1.0.4 | Markov Regime Switching Copula Models Estimation and Goodness of
Fit | Mamadou Yamar Thioub |
| HMMEsolver | 0.1.2 | A Fast Solver for Henderson Mixed Model Equation via Row
Operations | Jiwoong Kim |
| HMMextra0s | 1.1.0 | Hidden Markov Models with Extra Zeros | Ting Wang |
| hmmm | 1.0-4 | Hierarchical Multinomial Marginal Models | Colombi Roberto |
| HMMmlselect | 0.1.6 | Determine the Number of States in Hidden Markov Models via
Marginal Likelihood | Chu-Lan Michael Kao |
| HMMpa | 1.0.1 | Analysing Accelerometer Data Using Hidden Markov Models | Ronja Foraita |
| hmmr | 1.0-0 | "Mixture and Hidden Markov Models with R" Datasets and Example
Code | Ingmar Visser |
| hmmTMB | 1.0.2 | Fit Hidden Markov Models using Template Model Builder | Theo Michelot |
| HMP | 2.0.1 | Hypothesis Testing and Power Calculations for Comparing
Metagenomic Samples from HMP | Berkley Shands |
| HMPTrees | 1.4 | Statistical Object Oriented Data Analysis of RDP-Based Taxonomic
Trees from Human Microbiome Data | Berkley Shands |
| HMR | 1.0.3 | Flux Estimation with Static Chamber Data | Asger R. Pedersen |
| hms | 1.1.3 | Pretty Time of Day | Kirill Müller |
| Hmsc | 3.0-13 | Hierarchical Model of Species Communities | Otso Ovaskainen |
| hmsr | 1.0.1 | Multipopulation Evolutionary Strategy HMS | Wojciech Achtelik |
| hmstimer | 0.2.1 | 'hms' Based Timer | Joe Thorley |
| HMTL | 0.1.0 | Heterogeneous Multi-Task Feature Learning | Yuan Zhong |
| HMVD | 1.0 | Group Association Test using a Hidden Markov Model | Yichen Cheng |
| hNMF | 1.0 | Hierarchical Non-Negative Matrix Factorization | Nicolas Sauwen |
| hnp | 1.2-6 | Half-Normal Plots with Simulation Envelopes | Rafael de Andrade Moral |
| hoardeR | 0.10 | Collect and Retrieve Annotation Data for Various Genomic Data
Using Different Webservices | Daniel Fischer |
| hoardr | 0.5.4 | Manage Cached Files | Tamás Stirling |
| HOasso | 1.0.1 | Higher Order Assortativity for Complex Networks | Alberto Arcagni |
| hockeystick | 0.8.4 | Download and Visualize Essential Climate Change Data | Hernando Cortina |
| HodgesTools | 1.0.0 | Common Use Tools for Genomic Analysis | Tyler Hansen |
| holdem | 1.2 | Texas Holdem Simulator | Frederic Paik Schoenberg |
| holiglm | 1.0.0 | Holistic Generalized Linear Models | Benjamin Schwendinger |
| holland | 0.1.2-1 | Statistics for Holland's Theory of Vocational Choice | Joerg-Henrik Heine |
| holodeck | 0.2.2 | A Tidy Interface for Simulating Multivariate Data | Eric Scott |
| Holomics | 1.1.0 | An User-Friendly R 'shiny' Application for Multi-Omics Data
Integration and Analysis | Katharina Munk |
| homals | 1.0-10 | Gifi Methods for Optimal Scaling | Patrick Mair |
| Homeric | 0.1-3 | Doughnut Plots | Lawrence Hudson |
| hommel | 1.6 | Methods for Closed Testing with Simes Inequality, in Particular
Hommel's Method | Jelle Goeman |
| homnormal | 0.1 | Tests of Homogeneity of Variances | Fikri Gökpınar |
| homologene | 1.4.68.19.3.27 | Quick Access to Homologene and Gene Annotation Updates | Ogan Mancarci |
| homomorpheR | 0.2-2 | Homomorphic Computations in R | Balasubramanian Narasimhan |
| HomomorphicEncryption | 0.9.0 | BFV, BGV, CKKS Schema for Fully Homomorphic Encryption | Bastiaan Quast |
| hoopR | 2.1.0 | Access Men's Basketball Play by Play Data | Saiem Gilani |
| hopbyhop | 3.41 | Transmissions and Receptions in a Hop by Hop Network | Christian E. Galarza |
| hopit | 0.11.6 | Hierarchical Ordered Probit Models with Application to Reporting
Heterogeneity | Maciej J. Danko |
| hopkins | 1.1 | Calculate Hopkins Statistic for Clustering | Kevin Wright |
| HoRM | 0.1.3 | Supplemental Functions and Datasets for "Handbook of Regression
Methods" | Derek S. Young |
| hornpa | 1.1.0 | Horn's (1965) Test to Determine the Number of Components/Factors | Francis Huang |
| horseshoe | 0.2.0 | Implementation of the Horseshoe Prior | Stephanie van der Pas |
| horseshoenlm | 0.0.6 | Nonlinear Regression using Horseshoe Prior | Arnab Kumar Maity |
| hosm | 0.1.0 | High Order Spatial Matrix | Fadhlul Mubarak |
| HospitalNetwork | 0.9.3 | Building Networks of Hospitals Through Patients Transfers | Pascal Crépey |
| hospitals | 0.1.0 | Portuguese 'NHS' Hospitals | Ramiro Magno |
| hot.deck | 1.2 | Multiple Hot Deck Imputation | Jeff Gill |
| Hotelling | 1.0-8 | Hotelling's T^2 Test and Variants | James Curran |
| HotellingEllipse | 1.1.0 | Hotelling T-Square and Confidence Ellipse | Christian L. Goueguel |
| hotspot | 1.0 | Software Hotspot Analysis | Csaba Farago |
| hotspots | 1.0.3 | Hot Spots | Anthony Darrouzet-Nardi |
| housingData | 0.3.0 | U.S. Housing Data from 2008 to 2016 | Ryan Hafen |
| hover | 0.1.1 | CSS Animations for 'shiny' Button Elements | Tyler Littlefield |
| howler | 0.2.1 | 'Shiny' Extension of 'howler.js' | Ashley Baldry |
| howManyImputations | 0.2.5 | Calculate How many Imputations are Needed for Multiple
Imputation | Josh Errickson |
| howzatR | 1.0.1 | Useful Functions for Cricket Analysis | Luke Lockley |
| hpa | 1.3.3 | Distributions Hermite Polynomial Approximation | Potanin Bogdan |
| hpackedbubble | 0.1.0 | Create Split Packed Bubble Charts | Zhenxing Cheng |
| hpcwld | 0.6-5 | High Performance Cluster Models Based on Kiefer-Wolfowitz
Recursion | Alexander Rumyantsev |
| hpfilter | 1.0.2 | The One- And Two-Sided Hodrick-Prescott Filter | Alexandru Monahov |
| hpiR | 0.3.2 | House Price Indexes | Andy Krause |
| HPLB | 1.0.0 | High-Probability Lower Bounds for the Total Variance Distance | Loris Michel |
| HQM | 0.1.0 | Superefficient Estimation of Future Conditional Hazards Based on
Marker Information | Alex Isakson |
| hqmisc | 0.2-1 | Miscellaneous Convenience Functions and Dataset | Hugo Quene |
| hqreg | 1.4 | Regularization Paths for Lasso or Elastic-Net Penalized Huber
Loss Regression and Quantile Regression | Congrui Yi |
| hR | 0.2.50 | Toolkit for Data Analytics in Human Resources | Dale Kube |
| hrbrthemes | 0.8.7 | Additional Themes, Theme Components and Utilities for 'ggplot2' | Bob Rudis |
| hrcomprisk | 0.1.1 | Nonparametric Assessment Between Competing Risks Hazard Ratios | Daniel Antiporta |
| HRM | 1.2.1 | High-Dimensional Repeated Measures | Martin Happ |
| hrqglas | 1.1.0 | Group Variable Selection for Quantile and Robust Mean Regression | Shaobo Li |
| hrt | 1.0.1 | Heteroskedasticity Robust Testing | David Preinerstorfer |
| HRW | 1.0-5 | Datasets, Functions and Scripts for Semiparametric Regression
Supporting Harezlak, Ruppert & Wand (2018) | Matt P. Wand |
| HS | 1.1 | Homogenous Segmentation for Spatial Lines Data | Yongze Song |
| HSAUR | 1.3-10 | A Handbook of Statistical Analyses Using R (1st Edition) | Torsten Hothorn |
| HSAUR2 | 1.1-20 | A Handbook of Statistical Analyses Using R (2nd Edition) | Torsten Hothorn |
| HSAUR3 | 1.0-14 | A Handbook of Statistical Analyses Using R (3rd Edition) | Torsten Hothorn |
| hscovar | 0.4.2 | Calculation of Covariance Between Markers for Half-Sib Families | Dörte Wittenburg |
| HSDiC | 0.1 | Homogeneity and Sparsity Detection Incorporating Prior
Constraint Information | Yaguang Li |
| hSDM | 1.4.4 | Hierarchical Bayesian Species Distribution Models | Ghislain Vieilledent |
| hse | 0.0-28 | The hse Distribution | Rolf Turner |
| hsem | 1.0 | Hierarchical Structural Equation Model | Rezzy Eko Caraka |
| hset | 0.1.1 | Sets of Numbers Implemented with Hash Tables | Giacomo Ceoldo |
| HSEtest | 0.1.0 | Homogeneity of Stratum Effects Test | Zhicheng Du |
| hsphase | 2.0.3 | Phasing, Pedigree Reconstruction, Sire Imputation and
Recombination Events Identification of Half-sib Families Using
SNP Data | Mohammad Ferdosi |
| hspm | 1.1 | Heterogeneous Spatial Models | Gianfranco Piras |
| HSPOR | 1.1.9 | Hidden Smooth Polynomial Regression for Rupture Detection | Florine Greciet |
| hsrecombi | 1.0.1 | Estimation of Recombination Rate and Maternal LD in Half-Sibs | Dörte Wittenburg |
| hsstan | 0.8.2 | Hierarchical Shrinkage Stan Models for Biomarker Selection | Marco Colombo |
| hstats | 1.1.2 | Interaction Statistics | Michael Mayer |
| htestClust | 0.2.2 | Reweighted Marginal Hypothesis Tests for Clustered Data | Mary Gregg |
| htetree | 0.1.18 | Causal Inference with Tree-Based Machine Learning Algorithms | Jiahui Xu |
| HTLR | 0.4-4 | Bayesian Logistic Regression with Heavy-Tailed Priors | Longhai Li |
| htm2txt | 2.2.2 | Convert Html into Text | Sangchul Park |
| html2R | 0.1.0 | Convert 'HTML' to 'R' with a 'Shiny' App | Stéphane Laurent |
| html5 | 1.0.2 | Creates Valid HTML5 Strings | Timothy Conwell |
| htmldf | 0.6.0 | Simple Scraping and Tidy Webpage Summaries | Alastair Rushworth |
| htmlTable | 2.4.2 | Advanced Tables for Markdown/HTML | Max Gordon |
| htmltools | 0.5.8.1 | Tools for HTML | Carson Sievert |
| HTMLUtils | 0.1.9 | Facilitates Automated HTML Report Creation | "Markus Loecher, Berlin School of Economics and Law (BSEL)" |
| htmlwidgets | 1.6.4 | HTML Widgets for R | Carson Sievert |
| HTRX | 1.2.4 | Haplotype Trend Regression with eXtra Flexibility (HTRX) | Yaoling Yang |
| hts | 6.0.2 | Hierarchical and Grouped Time Series | Earo Wang |
| HTSCluster | 2.0.11 | Clustering High-Throughput Transcriptome Sequencing (HTS) Data | Andrea Rau |
| HTSeed | 0.1.0 | Fitting of Hydrotime Model for Seed Germination Time Course | Dr. Himadri Ghosh |
| htsr | 2.1.4 | Hydro-Meteorology Time-Series | Pierre Chevallier |
| HTSSIP | 1.4.1 | High Throughput Sequencing of Stable Isotope Probing Data
Analysis | Samuel Barnett |
| HTT | 0.1.2 | Hypothesis Testing Tree | Jiaqi Hu |
| httk | 2.3.1 | High-Throughput Toxicokinetics | John Wambaugh |
| httpcache | 1.2.0 | Query Cache for HTTP Clients | Neal Richardson |
| httpcode | 0.3.0 | 'HTTP' Status Code Helper | Scott Chamberlain |
| httpgd | 2.0.1 | A 'HTTP' Server Graphics Device | Florian Rupprecht |
| httping | 0.2.0 | 'Ping' 'URLs' to Time 'Requests' | Scott Chamberlain |
| httpproblems | 1.0.1 | Report Errors in Web Applications with 'Problem Details' (RFC
7807) | Aaron Jacobs |
| httpRequest | 0.0.11 | Basic HTTP Request | Andreas Westfeld |
| httptest | 4.2.2 | A Test Environment for HTTP Requests | Neal Richardson |
| httptest2 | 1.0.0 | Test Helpers for 'httr2' | Neal Richardson |
| httpuv | 1.6.15 | HTTP and WebSocket Server Library | Winston Chang |
| httr | 1.4.7 | Tools for Working with URLs and HTTP | Hadley Wickham |
| httr2 | 1.0.1 | Perform HTTP Requests and Process the Responses | Hadley Wickham |
| hubeau | 0.5.0 | Get Data from the French National Database on Water 'Hub'Eau' | David Dorchies |
| hudr | 1.2.0 | Providing Data from the US Department of Housing and Urban
Development | Paul Richardson |
| hues | 0.2.0 | Distinct Colour Palettes Based on 'iwanthue' | John Baumgartner |
| huge | 1.3.5 | High-Dimensional Undirected Graph Estimation | Haoming Jiang |
| huito | 0.2.4 | Reproducible and Flexible Label Design | Flavio Lozano-Isla |
| HUM | 2.0 | Compute HUM Value and Visualize ROC Curves | Natalia Novoselova |
| humanFormat | 1.2 | Human-Friendly Formatting Functions | Dustin Sallings |
| humaniformat | 0.6.0 | A Parser for Human Names | Oliver Keyes |
| humanize | 0.2.0 | Create Values for Human Consumption | Gerry Manoim |
| humanleague | 2.3.1 | Synthetic Population Generator | Andrew Smith |
| humidity | 0.1.5 | Calculate Water Vapor Measures from Temperature and Dew Point | Jun Cai |
| hunspell | 3.0.3 | High-Performance Stemmer, Tokenizer, and Spell Checker | Jeroen Ooms |
| HuraultMisc | 1.1.1 | Guillem Hurault Functions' Library | Guillem Hurault |
| hurdlr | 0.1 | Zero-Inflated and Hurdle Modelling Using Bayesian Inference | Earvin Balderama |
| HurreconR | 1.1 | Models Hurricane Wind Speed, Wind Direction, and Wind Damage | Emery Boose |
| hurricaneexposure | 0.1.1 | Explore and Map County-Level Hurricane Exposure in the United
States | Brooke Anderson |
| hutils | 1.8.1 | Miscellaneous R Functions and Aliases | Hugh Parsonage |
| hutilscpp | 0.10.4 | Miscellaneous Functions in C++ | Hugh Parsonage |
| huxtable | 5.5.6 | Easily Create and Style Tables for LaTeX, HTML and Other Formats | David Hugh-Jones |
| HVT | 23.11.1 | Constructing Hierarchical Voronoi Tessellations and Overlay
Heatmaps for Data Analysis | "Mu Sigma, Inc." |
| hwde | 0.67-3 | Models and Tests for Departure from Hardy-Weinberg Equilibrium
and Independence Between Loci | John Maindonald |
| HWEintrinsic | 1.2.3 | Objective Bayesian Testing for the Hardy-Weinberg Equilibrium
Problem | Sergio Venturini |
| hwep | 2.0.2 | Hardy-Weinberg Equilibrium in Polyploids | David Gerard |
| hwig | 0.0.2 | Half-Weight Index Gregariousness | Alec L. Robitaille |
| hwordcloud | 0.1.0 | Rendering Word Clouds | Zhenxing Cheng |
| hwriter | 1.3.2.1 | HTML Writer - Outputs R Objects in HTML Format | Gregoire Pau |
| hwsdr | 1.1 | Interface to the 'HWSD' Web Services | Koen Hufkens |
| hwwntest | 1.3.2 | Tests of White Noise using Wavelets | Guy Nason |
| HybridDesign | 1.0 | Hybrid Design for Phase I Dose-Finding Studies | Heng Zhou |
| HybridMicrobiomes | 0.1.1 | Analysis of Host-Associated Microbiomes from Hybrid Organisms | Sharon Bewick |
| hybridModels | 0.3.7 | An R Package for the Stochastic Simulation of Disease Spreading
in Dynamic Networks | Fernando S. Marques |
| hybridogram | 0.3.2 | Function that Creates a Heat Map from Hybridization Data | Matthew Cserhati |
| hybridts | 0.1.0 | Hybrid Time Series Forecasting Using Error Remodeling Approach | Tanujit Chakraborty |
| hyd1d | 0.5.1 | 1d Water Level Interpolation along the Rivers Elbe and Rhine | Arnd Weber |
| hydflood | 0.5.7 | Flood Extents and Durations along the Rivers Elbe and Rhine | Arnd Weber |
| hydra | 0.1.0 | Hyperbolic Embedding | Martin Keller-Ressel |
| hydraulics | 0.7.0 | Basic Pipe and Open Channel Hydraulics | Ed Maurer |
| HYDROCAL | 1.0.0 | Hydraulic Roughness Calculator | Colton Shaw |
| HydroCode | 1.0.3 | Hydrological Codes | Thorsten Pohlert |
| hydroDCindex | 1.0.0 | Duration Curve Hydrological Model Indexes | Alonso Arriagada |
| hydroEvents | 0.11 | Extract Event Statistics in Hydrologic Time Series | Conrad Wasko |
| hydrogeo | 0.6-1 | Groundwater Data Presentation and Interpretation | Myles English |
| hydroGOF | 0.5-4 | Goodness-of-Fit Functions for Comparison of Simulated and
Observed Hydrological Time Series | Mauricio Zambrano-Bigiarini |
| hydroloom | 1.0.2 | Utilities to Weave Hydrologic Fabrics | David Blodgett |
| HydroMe | 2.0-1 | Estimating Water Retention and Infiltration Model Parameters
using Experimental Data | Christian Thine Omuto |
| hydropeak | 0.1.2 | Detect and Characterize Sub-Daily Flow Fluctuations | Bettina Grün |
| HydroPortailStats | 1.0.3 | 'HydroPortail' Statistical Functions | Benjamin Renard |
| hydroroute | 0.1.2 | Trace Longitudinal Hydropeaking Waves | Bettina Grün |
| hydrostats | 0.2.9 | Hydrologic Indices for Daily Time Series Data | Nick Bond |
| hydrotoolbox | 1.1.2 | Hydrological Tools for Handling Hydro-Meteorological Data
Records | Ezequiel Toum |
| hydroToolkit | 0.1.0 | Hydrological Tools for Handling Hydro-Meteorological Data from
Argentina and Chile | Ezequiel Toum |
| hydroTSM | 0.7-0 | Time Series Management and Analysis for Hydrological Modelling | Mauricio Zambrano-Bigiarini |
| hyfo | 1.4.6 | Hydrology and Climate Forecasting | Yuanchao Xu |
| HyMETT | 1.1.2 | Hydrologic Model Evaluation and Time-Series Tools | Colin Penn |
| hyper2 | 3.0-0 | The Hyperdirichlet Distribution, Mark 2 | Robin K. S. Hankin |
| hyperbolicDEA | 1.0.0 | Hyperbolic DEA Estimation | Alexander Öttl |
| HyperbolicDist | 0.6-5 | The Hyperbolic Distribution | David Scott |
| hypercube | 0.2.1 | Organizing Data in Hypercubes | Michael Scholz |
| HyperG | 1.0.0 | Hypergraphs in R | David J. Marchette |
| hypergate | 0.8.5 | Machine Learning of Hyperrectangular Gating Strategies for
High-Dimensional Cytometry | Etienne Becht |
| hypergeo | 1.2-13 | The Gauss Hypergeometric Function | Robin K. S. Hankin |
| HypergeoMat | 4.0.2 | Hypergeometric Function of a Matrix Argument | Stéphane Laurent |
| hyperoverlap | 1.1.1 | Overlap Detection in n-Dimensional Space | Matilda Brown |
| hypersampleplan | 0.1.1 | Attribute Sampling Plan with Exact Hypergeometric Probabilities
using Chebyshev Polynomials | XU Hang |
| hyperSpec | 0.100.0 | Work with Hyperspectral Data, i.e. Spectra + Meta Information
(Spatial, Time, Concentration, ...) | Claudia Beleites |
| hypervolume | 3.1.3 | High Dimensional Geometry, Set Operations, Projection, and
Inference Using Kernel Density Estimation, Support Vector
Machines, and Convex Hulls | Benjamin Blonder |
| HYPEtools | 1.6.1 | Tools for Processing and Analyzing Files from the Hydrological
Catchment Model HYPE | Rene Capell |
| hypoRF | 1.0.0 | Random Forest Two-Sample Tests | Hediger Simon |
| hypothesis | 1.1.0 | Wrapper for 'hypothes.is' | Krystian Igras |
| hypothesisr | 0.1.1 | Wrapper for the 'Hypothes.is' Web Annotation Service | Matthew Lincoln |
| hypr | 0.2.8 | Hypothesis Matrix Translation | Maximilian M. Rabe |
| hypsoLoop | 0.2.0 | A Tool Used to Conduct Hypsometric Analysis of a Watershed | Faustin GASHAKAMBA |
| HyRiM | 2.0.2 | Multicriteria Risk Management using Zero-Sum Games with
Vector-Valued Payoffs that are Probability Distributions | "Stefan Rass, on behalf of the Austrian Institute of Technology" |
| hySAINT | 1.2.1 | Hybrid Genetic and Simulated Annealing Algorithm for High
Dimensional Linear Models with Interaction Effects | Leiyue Li |
| hySpc.testthat | 0.2.1 | 'testthat' Unit Test Enhancements | Claudia Beleites |
| hystar | 1.0.0 | Fit the Hysteretic Threshold Autoregressive Model | Daan de Jong |
| hysteresis | 2.7.2 | Tools for Modeling Rate-Dependent Hysteretic Processes and
Ellipses | Spencer Maynes |
| hystReet | 0.0.3 | Get Pedestrian Frequency Data from the 'Hystreet' Project | Johannes Friedrich |
| i18n | 0.2.0 | Internationalization Data from the 'Unicode CLDR' in Tabular
Form | Richard Iannone |
| i2extras | 0.2.1 | Functions to Work with 'incidence2' Objects | Tim Taylor |
| IAcsSPCR | 1.2.1 | Data and Functions for "An Intro. to Accept. Samp. & SPC/R" | John Lawson |
| iAdapt | 2.0.1 | Two-Stage Adaptive Dose-Finding Clinical Trial Design | Alyssa Vanderbeek |
| iadf | 0.1.2 | Analysis of Intra Annual Density Fluctuations | Konrad Mayer |
| IADT | 1.0.0 | Interaction Difference Test for Prediction Models | Thomas Welchowski |
| iai | 1.10.0 | Interface to 'Interpretable AI' Modules | Jack Dunn |
| ialiquor | 0.1.0 | Monthly Iowa Liquor Sales Summary | Nikhil Agarwal |
| IALS | 0.1.3 | Iterative Alternating Least Square Estimation for
Large-Dimensional Matrix Factor Model | Ran Zhao |
| iapws | 1.1 | Formulations of the International Association for the Properties
of Water and Steam | Jonathan Debove |
| IAPWS95 | 1.2.4 | Thermophysical Properties of Water and Steam | Shawn Way |
| iAR | 1.2.0 | Irregularly Observed Autoregressive Models | Elorrieta Felipe |
| iarm | 0.4.3 | Item Analysis in Rasch Models | Marianne Mueller |
| IASD | 1.1.1 | Model Selection for Index of Asymmetry Distribution | Satoshi Takahashi |
| IAT | 0.3 | Cleaning and Visualizing Implicit Association Test (IAT) Data | Dan Martin |
| IATanalytics | 0.1.1 | Compute Effect Sizes and Reliability for Implicit Association
Test (IAT) Data | Daniel Storage |
| IATScore | 0.1.1 | Scoring Algorithm for the Implicit Association Test (IAT) | Daniel Storage |
| IATscores | 0.2.7 | Implicit Association Test Scores Using Robust Statistics | Giulio Costantini |
| ib | 0.2.0 | Bias Correction via Iterative Bootstrap | Samuel Orso |
| iBART | 1.0.0 | Iterative Bayesian Additive Regression Trees Descriptor
Selection Method | Shengbin Ye |
| ibawds | 0.6.0 | Functions and Datasets for the Data Science Course at IBAW | Stefan Lanz |
| ibb | 0.0.2 | R Wrapper for Istanbul Municipality Open Data Portal | Berk Orbay |
| IBCF.MTME | 1.6-0 | Item Based Collaborative Filtering for Multi-Trait and
Multi-Environment Data | Francisco Javier Luna-Vazquez |
| ibd | 1.6 | Incomplete Block Designs | B N Mandal |
| IBDsim | 0.9-8 | Simulation of Chromosomal Regions Shared by Family Members | Magnus Dehli Vigeland |
| ibdsim2 | 2.0.0 | Simulation of Chromosomal Regions Shared by Family Members | Magnus Dehli Vigeland |
| ibelief | 1.3.1 | Belief Function Implementation | Kuang Zhou |
| IBFS | 1.0.0 | Initial Basic Feasible Solution for Transportation Problem | Royson Almeida |
| ibm | 0.3.0 | Individual Based Models in R | Ricardo Oliveros-Ramos |
| ibmAcousticR | 0.2.1 | Connect to Your 'IBM Acoustic' Data | Chris Umphlett |
| ibmcraftr | 1.0.0 | Toolkits to Develop Individual-Based Models in Infectious
Disease | Sai Thein Than Tun |
| ibmdbR | 1.51.0 | IBM in-Database Analytics for R | Shaikh Quader |
| IBMPopSim | 1.0.0 | Individual Based Model Population Simulation | Daphné Giorgi |
| ibmsunburst | 0.1.4 | Generate Personality Insights Sunburst Diagrams | Colin Gillespie |
| ibr | 2.0-4 | Iterative Bias Reduction | "Pierre-Andre Cornillon" |
| iBreakDown | 2.1.2 | Model Agnostic Instance Level Variable Attributions | Przemyslaw Biecek |
| IBrokers | 0.10-2 | R API to Interactive Brokers Trader Workstation | Joshua M. Ulrich |
| IBRtools | 0.1.3 | Integrating Biomarker-Based Assessments and Radarchart Creation | Anna Carolina Resende |
| ibs | 1.4 | Integral of B-Spline Functions | Feng Chen |
| iBST | 1.2 | Improper Bagging Survival Tree | Cyprien Mbogning |
| ic.infer | 1.1-7 | Inequality Constrained Inference in Linear Normal Situations | Ulrike Groemping |
| iC10 | 1.5 | A Copy Number and Expression-Based Classifier for Breast Tumours | Oscar M. Rueda |
| iC10TrainingData | 1.3.1 | Training Datasets for iC10 Package | Oscar M. Rueda |
| ica | 1.0-3 | Independent Component Analysis | Nathaniel E. Helwig |
| ical | 0.1.6 | 'iCalendar' Parsing | Peter Meissner |
| iCAMP | 1.5.12 | Infer Community Assembly Mechanisms by Phylogenetic-Bin-Based
Null Model Analysis | Daliang Ning |
| ICAMS | 2.3.12 | In-Depth Characterization and Analysis of Mutational Signatures
('ICAMS') | Steve Rozen |
| ICAOD | 1.0.1 | Optimal Designs for Nonlinear Statistical Models by Imperialist
Competitive Algorithm (ICA) | Ehsan Masoudi |
| icardaFIGSr | 1.0.2 | Subsetting using Focused Identification of the Germplasm
Strategy (FIGS) | Zakaria Kehel |
| iCARH | 2.0.2.1 | Integrative Conditional Autoregressive Horseshoe Model | Takoua Jendoubi |
| icarus | 0.3.2 | Calibrates and Reweights Units in Samples | Antoine Rebecq |
| ICBioMark | 0.1.4 | Data-Driven Design of Targeted Gene Panels for Estimating
Immunotherapy Biomarkers | Jacob R. Bradley |
| ICC | 2.4.0 | Facilitating Estimation of the Intraclass Correlation
Coefficient | Matthew Wolak |
| ICC.Sample.Size | 1.0 | Calculation of Sample Size and Power for ICC | Alasdair Rathbone |
| ICcalib | 1.0.8 | Cox Model with Interval-Censored Starting Time of a Covariate | Daniel Nevo |
| iccbeta | 1.2.0 | Multilevel Model Intraclass Correlation for Slope Heterogeneity | Steven Andrew Culpepper |
| ICCbin | 1.1.1 | Facilitates Clustered Binary Data Generation, and Estimation of
Intracluster Correlation Coefficient (ICC) for Binary Data | Akhtar Hossain |
| iccCounts | 1.1.2 | Intraclass Correlation Coefficient for Count Data | Josep L. Carrasco |
| iccde | 0.3.5 | Computation of the Double-Entry Intraclass Correlation | Christian Blötner |
| ICcforest | 0.5.1 | An Ensemble Method for Interval-Censored Survival Data | Weichi Yao |
| iccTraj | 1.0.4 | Estimates the Intraclass Correlation Coefficient for Trajectory
Data | Josep L. Carrasco |
| icd.data | 1.0 | International Classifcation of Diseases (ICD) Data | Jack O. Wasey |
| ICD10gm | 1.2.5 | Metadata Processing for the German Modification of the ICD-10
Coding System | Ewan Donnachie |
| icdGLM | 1.0.0 | EM by the Method of Weights for Incomplete Categorical Data in
Generlized Linear Models | Stephan Dlugosz |
| icdpicr | 1.0.1 | 'ICD' Programs for Injury Categorization in R | Adam Black |
| ICDS | 0.1.2 | Identification of Cancer Dysfunctional Subpathway with Omics
Data | Junwei Han |
| ICEbox | 1.1.5 | Individual Conditional Expectation Plot Toolbox | Adam Kapelner |
| icecream | 0.2.2 | Print Debugging Made Sweeter | Lewin Appleton-Fox |
| ICED | 0.0.1 | IntraClass Effect Decomposition | Sam Parsons |
| ICEinfer | 1.3 | Incremental Cost-Effectiveness Inference using Two Unbiased
Samples | Bob Obenchain |
| iCellR | 1.6.7 | Analyzing High-Throughput Single Cell Sequencing Data | Alireza Khodadadi-Jamayran |
| icenReg | 2.0.16 | Regression Models for Interval Censored Data | Clifford Anderson-Bergman |
| icensBKL | 1.5 | Accompanion to the Book on Interval Censoring by Bogaerts,
Komarek, and Lesaffre | Arnošt Komárek |
| icensmis | 1.5.0 | Study Design and Data Analysis in the Presence of Error-Prone
Diagnostic Tests and Self-Reported Outcomes | Xiangdong Gu |
| icertool | 0.0.3 | Calculate and Plot ICER | Daniel Perez-Troncoso |
| icesAdvice | 2.1.1 | Functions Related to ICES Advice | Colin Millar |
| IceSat2R | 1.0.4 | ICESat-2 Altimeter Data using R | Lampros Mouselimis |
| icesConnect | 1.0.0 | Provides User Tokens for Access to ICES Web Services | Colin Millar |
| icesDatras | 1.4.1 | DATRAS Trawl Survey Database Web Services | Colin Millar |
| icesDatsu | 1.1.0 | Functions to Interact with the ICES Data Submission Utility
(DATSU) | Colin Millar |
| icesDatsuQC | 1.0.1 | Run Quality Checks on Data Prior to Submission to ICES | Colin Millar |
| icesSAG | 1.4.1 | Stock Assessment Graphs Database Web Services | Colin Millar |
| icesSD | 2.0.0 | Stock Database Web Services | Colin Millar |
| icesTAF | 4.2.0 | Functions to Support the ICES Transparent Assessment Framework | Colin Millar |
| icesVMS | 1.1.4 | Link to the ICES Vessel Monitoring System and Logbook Database
Web Services | Colin Millar |
| icesVocab | 1.2.0 | ICES Vocabularies Database Web Services | Colin Millar |
| ICGE | 0.4.2 | Estimation of Number of Clusters and Identification of Atypical
Units | Itziar Irigoien |
| ICglm | 0.1.0 | Information Criteria for Generalized Linear Regression | Fatih Saglam |
| ICGOR | 2.0 | Fit Generalized Odds Rate Hazards Model with Interval Censored
Data | Jie Zhou |
| ichimoku | 1.5.0 | Visualization and Tools for Ichimoku Kinko Hyo Strategies | Charlie Gao |
| iClick | 1.5 | A Button-Based GUI for Financial and Economic Data Analysis | Ho Tsung-wu |
| icmm | 1.2 | Empirical Bayes Variable Selection via ICM/M Algorithm | Vitara Pungpapong |
| ICODS | 1.1 | Data Analysis for ODS and Case-Cohort Designs with
Interval-Censoring | Shannon T. Holloway |
| icosa | 0.11.0 | Global Triangular and Penta-Hexagonal Grids Based on Tessellated
Icosahedra | Adam T. Kocsis |
| icpsrdata | 0.6.1 | Reproducible Data Retrieval from the ICPSR Archive | Frederick Solt |
| icr | 0.6.5 | Compute Krippendorff's Alpha | Alexander Staudt |
| ICRanks | 3.1 | Simultaneous Confidence Intervals for Ranks | Diaa Al Mohamad |
| icrf | 2.0.2 | Interval Censored Recursive Forests | Hunyong Cho |
| icRSF | 1.2 | A Modified Random Survival Forest Algorithm | Hui Xu |
| ICS | 1.4-1 | Tools for Exploring Multivariate Data via ICS/ICA | Klaus Nordhausen |
| ICSClust | 0.1.0 | Tandem Clustering with Invariant Coordinate Selection | Aurore Archimbaud |
| ICSKAT | 0.2.0 | Interval-Censored Sequence Kernel Association Test | Ryan Sun |
| ICSNP | 1.1-2 | Tools for Multivariate Nonparametrics | Klaus Nordhausen |
| ICSOutlier | 0.4-0 | Outlier Detection Using Invariant Coordinate Selection | Klaus Nordhausen |
| ICSS | 1.1 | ICSS Algorithm by Inclan/Tiao (1994) | Siegfried Köstlmeier |
| ICSShiny | 0.5 | ICS via a Shiny Application | Klaus Nordhausen |
| ICSsmoothing | 1.2.8 | Data Smoothing by Interpolating Cubic Splines | Lubomir Antoni |
| ICsurv | 1.0.1 | Semiparametric Regression Analysis of Interval-Censored Data | Lianming Wang |
| icsw | 1.0.0 | Inverse Compliance Score Weighting | Kyle Peyton |
| ICtest | 0.3-5 | Estimating and Testing the Number of Interesting Components in
Linear Dimension Reduction | Klaus Nordhausen |
| ICV | 1.0 | Indirect Cross-Validation (ICV) for Kernel Density Estimation | Olga Savchuk |
| ICvectorfields | 0.1.2 | Vector Fields from Spatial Time Series of Population Abundance | Devin Goodsman |
| idar | 1.5 | Individual Diversity-Area Relationships | Marcelino de la Cruz |
| idarps | 0.0.3 | Datasets and Functions for the Class "Modelling and Data
Analysis for Pharmaceutical Sciences" | Lionel Voirol |
| idbr | 1.2 | R Interface to the US Census Bureau International Data Base API | Kyle Walker |
| IDCard | 0.3.0 | Update Chinese ID Card Number to Eighteen Digits | Zhicheng Du |
| idcnrba | 1.1.0 | Interactive Application for Analyzing Representativeness and
Nonresponse Bias | Ben Schneider |
| IDE | 0.3.1 | Integro-Difference Equation Spatio-Temporal Models | Andrew Zammit-Mangion |
| IDEAFilter | 0.1.2 | Agnostic, Idiomatic Data Filter Module for Shiny | Aaron Clark |
| ideamdb | 0.0.9 | Easy Manipulation of IDEAM's Climatological Data | Luz Maria Morales |
| IDEATools | 3.5.2 | Individual and Group Farm Sustainability Assessments using the
IDEA4 Method | David Carayon |
| idefix | 1.0.3 | Efficient Designs for Discrete Choice Experiments | Frits Traets |
| idem | 5.2 | Inference in Randomized Controlled Trials with Death and
Missingness | Chenguang Wang |
| idendr0 | 1.5.3 | Interactive Dendrograms | Tomas Sieger |
| ider | 0.1.1 | Various Methods for Estimating Intrinsic Dimension | Hideitsu Hino |
| IDetect | 0.1.0 | Isolate-Detect Methodology for Multiple Change-Point Detection | Andreas Anastasiou |
| IDF | 2.1.2 | Estimation and Plotting of IDF Curves | Felix S. Fauer |
| iDINGO | 1.0.4 | Integrative Differential Network Analysis in Genomics | Caleb A. Class |
| idiogramFISH | 2.0.13 | Shiny App. Idiograms with Marks and Karyotype Indices | Fernando Roa |
| idm | 1.8.3 | Incremental Decomposition Methods | Angelos Markos |
| idmact | 1.0.1 | Interpreting Differences Between Mean ACT Scores | Mackson Ncube |
| idmc | 0.3.0 | Load and Wrangle IDMC Displacement Data | Seth Caldwell |
| IDmeasurer | 1.0.0 | Assessment of Individual Identity in Animal Signals | Pavel Linhart |
| IDmining | 1.0.7 | Intrinsic Dimension for Data Mining | Jean Golay |
| IDMIR | 0.1.0 | Identification of Dysregulated MiRNAs Based on MiRNA-MiRNA
Interaction Network | Junwei Han |
| idmodelr | 0.4.0 | Infectious Disease Model Library and Utilities | Sam Abbott |
| idopNetwork | 0.1.2 | A Network Tool to Dissect Spatial Community Ecology | Ang Dong |
| iDOS | 1.0.1 | Integrated Discovery of Oncogenic Signatures | Syed Haider |
| iDOVE | 1.5 | Durability of Vaccine Efficacy Against SARS-CoV-2 Infection | Shannon T. Holloway |
| IDPmisc | 1.1.21 | 'Utilities of Institute of Data Analyses and Process Design
(www.zhaw.ch/idp)' | Christoph Hofer |
| IDPSurvival | 1.2 | Imprecise Dirichlet Process for Survival Analysis | Francesca Mangili |
| idr | 1.3 | Irreproducible Discovery Rate | Qunhua Li |
| ids | 1.0.1 | Generate Random Identifiers | Rich FitzJohn |
| IDSA | 2.1 | An Interactive Detector for Spatial Associations | Yongze Song |
| IDSL.CSA | 1.2 | Composite Spectra Analysis (CSA) for High-Resolution Mass
Spectrometry Analyses | Dinesh Barupal |
| IDSL.FSA | 1.2 | Fragmentation Spectra Analysis (FSA) | Dinesh Barupal |
| IDSL.IPA | 2.9 | Intrinsic Peak Analysis (IPA) for HRMS Data | Dinesh Barupal |
| IDSL.MXP | 2.0 | Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry
Data) | Dinesh Barupal |
| IDSL.NPA | 1.2 | Nominal Peak Analysis (NPA) | Dinesh Barupal |
| IDSL.SUFA | 1.3 | Simplified UFA | Dinesh Barupal |
| IDSL.UFA | 2.0 | United Formula Annotation (UFA) for HRMS Data Processing | Dinesh Barupal |
| IDSL.UFAx | 1.9.1 | Exhaustive Chemical Enumeration for United Formula Annotation | Dinesh Barupal |
| idx2r | 1.0.0 | Convert Files to and from IDX Format to Vectors, Matrices and
Arrays | Erik Doffagne |
| ie2misc | 0.9.1 | Irucka Embry's Miscellaneous USGS Functions | Irucka Embry |
| ie2miscdata | 1.0.4 | Irucka Embry's Miscellaneous USGS Data Collection | Irucka Embry |
| ieeeround | 0.2-0 | Functions to set and get the IEEE rounding mode | Gianluca Amato |
| iemisc | 1.0.4 | Irucka Embry's Miscellaneous Functions | Irucka Embry |
| iemiscdata | 1.0.1 | Irucka Embry's Miscellaneous Data Collection | Irucka Embry |
| iemisctext | 0.9.99 | Irucka Embry's Miscellaneous Text Collection | Irucka Embry |
| IETD | 1.0.0 | Inter-Event Time Definition | Luis F. Duque |
| ieugwasr | 0.2.2 | Interface to the 'OpenGWAS' Database API | Gibran Hemani |
| ifaTools | 0.23 | Toolkit for Item Factor Analysis with 'OpenMx' | Joshua N. Pritikin |
| IFC | 0.2.1 | Tools for Imaging Flow Cytometry | Yohann Demont |
| ifCNVR | 0.1.0 | Isolation-Forest Based 'CNV' Detection from 'NGS' Data | Simon Cabello-Aguilar |
| ifctools | 0.3.6 | Italian Fiscal Code ('Codice Fiscale') Utilities | Luca Braglia |
| IFMCDM | 0.1.17 | Intuitionistic Fuzzy Multi-Criteria Decision Making Methods | Andrzej Dudek |
| iForecast | 1.0.7 | Machine Learning Time Series Forecasting | Ho Tsung-wu |
| IFP | 0.2.4 | Identifying Functional Polymorphisms | Leeyoung Park |
| ifpd | 0.1.0 | Indonesia Food Prices Data | Fadhlul Mubarak |
| ifs | 0.1.10 | Iterated Function Systems | Stefano M. Iacus |
| ig.vancouver.2014.topcolour | 0.1.2.0 | Instagram 2014 Vancouver Top Colour Dataset | Roland Tanglao |
| IgAScores | 0.1.2 | Score Taxon-Level IgA Binding in IgA-Seq Experiments | Matthew Jackson |
| iGasso | 1.6.1 | Statistical Tests and Utilities for Genetic Association | Kai Wang |
| igate | 0.3.3 | Guided Analytics for Testing Manufacturing Parameters | Stefan Stein |
| IGCities | 0.2.0 | Simulate Impact of Different Urban Policies Through a General
Equilibrium Model | David Zarruk |
| igcop | 1.0.2 | Computational Tools for the IG and IGL Copula Families | Vincenzo Coia |
| iglu | 4.0.0 | Interpreting Glucose Data from Continuous Glucose Monitors | Irina Gaynanova |
| igoR | 0.2.0 | Intergovernmental Organizations Database | Diego Hernangómez |
| IGoRRR | 0.3.4 | A Shiny Interface for Simple Data Management | Jean-Luc Lipatz |
| igraph | 2.0.3 | Network Analysis and Visualization | Kirill Müller |
| igraphdata | 1.0.1 | A Collection of Network Data Sets for the 'igraph' Package | Gabor Csardi |
| igraphinshiny | 0.1 | Use 'shiny' to Demo 'igraph' | Ming-Jer Lee |
| iGraphMatch | 2.0.4 | Tools for Graph Matching | Daniel Sussman |
| igraphtosonia | 1.0 | Convert iGraph graps to SoNIA .son files | Sean J Westwood |
| igrf | 1.0 | International Geomagnetic Reference Field | Koen Hufkens |
| iGSEA | 1.2 | Integrative Gene Set Enrichment Analysis Approaches | Wentao Lu |
| IGST | 0.1.0 | Informative Gene Selection Tool | Nitesh Kumar Sharma |
| ihclust | 0.1.0 | Iterative Hierarchical Clustering (IHC) | Elin Cho |
| iheatmapr | 0.7.1 | Interactive, Complex Heatmaps | Alan O'Callaghan |
| iheiddown | 0.9.7 | For Writing Geneva Graduate Institute Documents | James Hollway |
| ihpdr | 1.2.1 | Download Data from the International House Price Database | Kostas Vasilopoulos |
| IHSEP | 0.3.1 | Inhomogeneous Self-Exciting Process | Feng Chen |
| iimi | 1.0.2 | Identifying Infection with Machine Intelligence | Xuekui Zhang |
| iIneq | 1.0.2 | Computing Individual Components of the Gini and the Theil
Indices | Tim Liao |
| IIProductionUnknown | 0.0.3 | Analyzing Data Through of Percentage of Importance Indice
(Production Unknown) and Its Derivations | Alcinei Mistico Azevedo |
| IIVpredictor | 0.1.0 | Modeling Within Individual Variability as Predictor | Xiao Liu |
| ijtiff | 2.3.4 | Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files | Rory Nolan |
| ILS | 0.3 | Interlaboratory Study | Miguel Flores |
| ILSE | 1.1.7 | Linear Regression Based on 'ILSE' for Missing Data | Wei Liu |
| ILSM | 1.0.2 | Analyze Inter-Layer Structure of Multilayer Ecological Network | WeiCheng Sun |
| imabc | 1.0.0 | Incremental Mixture Approximate Bayesian Computation (IMABC) | "Christopher, E. Maerzluft" |
| image.binarization | 0.1.3 | Binarize Images for Enhancing Optical Character Recognition | Jan Wijffels |
| image.CannyEdges | 0.1.1 | Implementation of the Canny Edge Detector for Images | Jan Wijffels |
| image.ContourDetector | 0.1.1 | Implementation of the Unsupervised Smooth Contour Line Detection
for Images | Jan Wijffels |
| image.CornerDetectionF9 | 0.1.0 | Find Corners in Digital Images with FAST-9 | Jan Wijffels |
| image.CornerDetectionHarris | 0.1.2 | Implementation of the Harris Corner Detection for Images | Jan Wijffels |
| image.dlib | 0.1.1 | Image Processing Functionality using the 'dlib' Package | Jan Wijffels |
| image.libfacedetection | 0.1 | Convolutional Neural Network for Face Detection | Jan Wijffels |
| image.LineSegmentDetector | 0.1.0 | Detect Line Segments in Images | Jan Wijffels |
| image.Otsu | 0.1 | Otsu's Image Segmentation Method | Jan Wijffels |
| image.textlinedetector | 0.2.3 | Segment Images in Text Lines and Words | Jan Wijffels |
| image2data | 1.0.1 | Turn Images into Data Sets | P.-O. Caron |
| imageData | 0.1-62 | Aids in Processing and Plotting Data from a Lemna-Tec
Scananalyzer | Chris Brien |
| imagefluency | 0.2.5 | Image Statistics Based on Processing Fluency | Stefan Mayer |
| imagefx | 0.4.1 | Extract Features from Images | Alex J.C. Witsil |
| imager | 0.45.8 | Image Processing Library Based on 'CImg' | Aaron Robotham |
| imagerExtra | 1.3.2 | Extra Image Processing Library Based on 'imager' | Shota Ochi |
| imageseg | 0.5.0 | Deep Learning Models for Image Segmentation | Juergen Niedballa |
| imageviewer | 0.1.0 | Simple 'htmlwidgets' Image Viewer with WebGL Brightness/Contrast | Iakov Pustilnik |
| imaginator | 1.0.0 | Simulate General Insurance Policies and Losses | Brian Fannin |
| imagine | 2.1.0 | IMAGing engINEs, Tools for Application of Image Filters to Data
Matrices | Wencheng Lau-Medrano |
| IMak | 2.1.0 | Item Maker | Diego Blum |
| imbalance | 1.0.2.1 | Preprocessing Algorithms for Imbalanced Datasets | Ignacio Cordón |
| imbalanceDatRel | 0.1.5 | Relocated Data Oversampling for Imbalanced Data Classification | Fatih Saglam |
| imbibe | 0.1.1 | A Pipe-Friendly Image Calculator | Jon Clayden |
| imcExperiment | 0.99.0 | Mass Cytometry S4 Class Structure Pipeline for Images | Anthony Colombo |
| ImCluster | 0.1.0 | Efficiency of Cluster Sampling for Crop Surveys | M. Iqbal Jeelani |
| IMD | 1.2.2 | Index of Multiple Deprivation Data for the UK | Matthew Gwynfryn Thomas |
| imdbapi | 0.1.0 | Get Movie, Television Data from the 'imdb' Database | Yuan Li <851277048 at qq.com> |
| IMEC | 0.2.0 | Ising Model of Explanatory Coherence | Maximilian Maier |
| iMediate | 0.5.5 | Likelihood Methods for Mediation Analysis | Kai Wang |
| imf.data | 0.1.5 | An Interface to IMF (International Monetary Fund) Data JSON API | Pedro Baltazar |
| ImFoR | 0.1.0 | Non-Linear Height Diameter Models for Forestry | M. Iqbal Jeelani |
| imgpalr | 0.3.2 | Create Color Palettes from Images | Matthew Leonawicz |
| imgrec | 0.1.3 | An Interface for Image Recognition | Carsten Schwemmer |
| imguR | 1.0.3 | An Imgur.com API Client Package | Thomas J. Leeper |
| ImHD | 0.1.0 | Artificial Intelligence Based Machine Learning Algorithms for
Height Diameter Relationships of Conifer Trees | Dr. M. Iqbal Jeelani |
| IMIFA | 2.2.0 | Infinite Mixtures of Infinite Factor Analysers and Related
Models | Keefe Murphy |
| IMIX | 1.1.5 | Gaussian Mixture Model for Multi-Omics Data Integration | Ziqiao Wang |
| iml | 0.11.2 | Interpretable Machine Learning | Giuseppe Casalicchio |
| IMmailgun | 0.1.2 | Send Emails using 'Mailgun' | Ignacio Martinez |
| immcp | 1.0.3 | Poly-Pharmacology Toolkit for Traditional Chinese Medicine
Research | Yuanlong Hu |
| immer | 1.5-13 | Item Response Models for Multiple Ratings | Alexander Robitzsch |
| Immigrate | 0.2.1 | Iterative Max-Min Entropy Margin-Maximization with Interaction
Terms for Feature Selection | Ruzhang Zhao |
| ImML | 0.1.5 | Machine Learning Algorithms Fitting and Validation for Forestry | Salvatore Mangiafico |
| immunarch | 0.9.1 | Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires | Vadim I. Nazarov |
| immuneSIM | 0.8.7 | Tunable Simulation of B- And T-Cell Receptor Repertoires | Cédric R. Weber |
| ImNN | 0.1.0 | Neural Networks for Predicting Volume of Forest Trees | M. Iqbal Jeelani |
| imola | 0.5.0 | CSS Layouts (Grid and Flexbox) Implementation for R/Shiny | Pedro Silva |
| IMP | 1.1 | Interactive Model Performance Evaluation | Anup Nair |
| imp4p | 1.2 | Imputation for Proteomics | Quentin Giai Gianetto |
| IMPACT | 0.1.1 | The Impact of Items | Nery Sofia Huerta-Pacheco |
| ImpactEffectsize | 0.6.3 | Calculation and Visualization of the Impact Effect Size Measure | Jorn Lotsch |
| impactflu | 0.1.0 | Quantification of Population-Level Impact of Vaccination | Arseniy Khvorov |
| impactr | 0.4.2 | Mechanical Loading Prediction Through Accelerometer Data | Lucas Veras |
| impimp | 0.3.1 | Imprecise Imputation for Statistical Matching | Paul Fink |
| implicitExpansion | 0.1.0 | Array Operations for Arrays of Mismatching Sizes | Manuel Hentschel |
| implicitMeasures | 0.2.1 | Compute Scores for Different Implicit Measures | Ottavia M. Epifania |
| implied | 0.5 | Convert Between Bookmaker Odds and Probabilities | Jonas Christoffer Lindstrøm |
| implyr | 0.5.0 | R Interface for Apache Impala | Ian Cook |
| import | 1.3.2 | An Import Mechanism for R | Magnus Thor Torfason |
| ImportanceIndice | 0.0.2 | Analyzing Data Through of Percentage of Importance Indice and
Its Derivations | Alcinei Mistico Azevedo |
| importar | 0.1.1 | Enables Importing/Loading of Packages or Functions While
Creating an Alias for Them | Andrea Cantieni |
| ImportExport | 1.3 | Import and Export Data | Isaac Subirana |
| importinegi | 1.2.1 | Download and Manage Open Data from INEGI | Cesar Renteria |
| imprecise101 | 0.2.2.4 | Introduction to Imprecise Probabilities | Chel Hee Lee |
| impressionist.colors | 1.0 | Impressionism's Color Palettes | Federico Casale |
| imprinting | 0.1.1 | Calculate Birth Year-Specific Probabilities of Immune Imprinting
to Influenza | Alex Byrnes |
| ImpShrinkage | 1.0.0 | Improved Shrinkage Estimations for Multiple Linear Regression | Mina Norouzirad |
| imptree | 0.5.1 | Classification Trees with Imprecise Probabilities | Paul Fink |
| imputeFin | 0.1.2 | Imputation of Financial Time Series with Missing Values and/or
Outliers | Daniel P. Palomar |
| imputeGeneric | 0.1.0 | Ease the Implementation of Imputation Methods | Tobias Rockel |
| imputeLCMD | 2.1 | A Collection of Methods for Left-Censored Missing Data
Imputation | Samuel Wieczorek |
| ImputeLongiCovs | 0.1.0 | Longitudinal Imputation of Categorical Variables via a Joint
Transition Model | Pavlos Mamouris |
| imputeMulti | 0.8.4 | Imputation Methods for Multivariate Multinomial Data | Alex Whitworth |
| imputeR | 2.2 | A General Multivariate Imputation Framework | Steffen Moritz |
| imputeREE | 0.0.5 | Impute Missing Rare Earth Element Data in Zircon | Carlos Carrasco Godoy |
| ImputeRobust | 1.3-1 | Robust Multiple Imputation with Generalized Additive Models for
Location Scale and Shape | Daniel Salfran |
| imputeTestbench | 3.0.3 | Test Bench for the Comparison of Imputation Methods | Marcus W. Beck |
| imputeTS | 3.3 | Time Series Missing Value Imputation | Steffen Moritz |
| iMRMC | 1.2.5 | Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and
Other Metrics) | Brandon Gallas |
| imsig | 1.1.3 | Immune Cell Gene Signatures for Profiling the Microenvironment
of Solid Tumours | Ajit Johnson Nirmal |
| IMTest | 1.0.0 | Information Matrix Test for Generalized Partial Credit Models | Daphna Harel |
| ImVol | 0.1.0 | Volume Prediction of Trees Using Linear and Nonlinear Allometric
Equations | M. Iqbal Jeelani |
| in2extRemes | 1.0-3 | Into the extRemes Package | Eric Gilleland |
| inaparc | 1.2.0 | Initialization Algorithms for Partitioning Cluster Analysis | Zeynel Cebeci |
| inbreedR | 0.3.3 | Analysing Inbreeding Based on Genetic Markers | Martin A. Stoffel |
| inca | 0.0.4 | Integer Calibration | Luca Sartore |
| incase | 0.3.2 | Pipe-Friendly Vector Replacement with Case Statements | Alexander Rossell Hayes |
| INCATome | 1.0 | Internal Control Analysis of Translatome Studies by Microarrays | Thomas Sbarrato |
| IncDTW | 1.1.4.4 | Incremental Calculation of Dynamic Time Warping | Maximilian Leodolter |
| incgraph | 1.0.1 | Incremental Graphlet Counting for Network Optimisation | Robrecht Cannoodt |
| incidence | 1.7.3 | Compute, Handle, Plot and Model Incidence of Dated Events | Tim Taylor |
| incidence2 | 2.2.3 | Compute, Handle and Plot Incidence of Dated Events | Tim Taylor |
| IncidencePrevalence | 0.7.2 | Estimate Incidence and Prevalence using the OMOP Common Data
Model | Edward Burn |
| incidental | 0.1 | Implements Empirical Bayes Incidence Curves | Lauren Hannah |
| incidentally | 1.0.2 | Generates Incidence Matrices and Bipartite Graphs | Zachary Neal |
| IncomPair | 0.1.0 | Comparison of Means for the Incomplete Paired Data | Desale Habtzghi |
| incR | 2.1.0 | Analysis of Incubation Data | Pablo Capilla-Lasheras |
| inctools | 1.0.15 | Incidence Estimation Tools | Eduard Grebe |
| incubate | 1.2.1 | Parametric Time-to-Event Analysis with Variable Incubation
Phases | Matthias Kuhn |
| indelmiss | 1.0.10 | Insertion Deletion Analysis While Accounting for Possible
Missing Data | Utkarsh J. Dang |
| independenceWeights | 0.0.1 | Estimates Weights for Confounding Control for Continuous-Valued
Exposures | Jared Huling |
| IndepTest | 0.2.0 | Nonparametric Independence Tests Based on Entropy Estimation | Daniel Grose |
| index0 | 0.0.1 | Zero-Based Indexing in R | David Antony Selby |
| IndexConstruction | 0.1-3 | Index Construction for Time Series Data | Simon Trimborn |
| IndexNumber | 1.3.2 | Index Numbers in Social Sciences | Alejandro Saavedra-Nieves |
| IndexNumR | 0.6.0 | Index Number Calculation | Graham White |
| indexthis | 1.0.1 | Quick Indexation | Laurent Berge |
| IndexWizard | 0.2.1.0 | Constructing and Analyzing Complex Selection Indices | Johannes Geibel |
| IndGenErrors | 0.1.4 | Tests of Independence Between Innovations of Generalized Error
Models | Bruno N Remillard |
| india | 0.1 | Influence Diagnostics in Statistical Models | Felipe Osorio |
| indicspecies | 1.7.14 | Relationship Between Species and Groups of Sites | Miquel De Cáceres |
| indiedown | 0.1.1 | Individual R Markdown Templates | Christoph Sax |
| indirect | 0.2.1 | Elicitation of Independent Conditional Means Priors for
Generalised Linear Models | Geoff Hosack |
| InDisc | 1.1.0 | Obtaining and Estimating Unidimensional and Multidimensional IRT
Dual Models | David Navarro-Gonzalez |
| IndTestPP | 3.0 | Tests of Independence and Analysis of Dependence Between Point
Processes in Time | Ana C. Cebrian |
| industRial | 0.1.0 | Data, Functions and Support Materials from the Book "industRial
Data Science" | Joao Ramalho |
| inegiR | 3.0.0 | Integrate INEGI’s (Mexican Stats Office) API with R | Eduardo Flores |
| ineq | 0.2-13 | Measuring Inequality, Concentration, and Poverty | Achim Zeileis |
| ineq.2d | 0.1.0 | Two-Dimensional Decomposition of the Theil Index and the Squared
Coefficient of Variation | Ivan Skliarov |
| ineqJD | 1.0 | Inequality Joint Decomposition | Alberto Arcagni |
| inet | 0.1.0 | Performing Inference on Networks with Regularization | Jonas Haslbeck |
| iNEXT | 3.0.1 | Interpolation and Extrapolation for Species Diversity | T. C. Hsieh |
| iNEXT.3D | 1.0.4 | Interpolation and Extrapolation for Three Dimensions of
Biodiversity | Anne Chao |
| iNEXT.beta3D | 1.0.1 | Interpolation and Extrapolation with Beta Diversity for Three
Dimensions of Biodiversity | Anne Chao |
| infer | 1.0.7 | Tidy Statistical Inference | Simon Couch |
| inferCSN | 1.0.1 | Inferring Cell-Specific Gene Regulatory Network | Meng Xu |
| InferenceSMR | 1.0.2 | Inference About the Standardized Mortality Ratio when Evaluating
the Effect of a Screening Program on Survival | Denis Talbot |
| inferference | 1.0.2 | Methods for Causal Inference with Interference | Bradley Saul |
| inferr | 0.3.1 | Inferential Statistics | Aravind Hebbali |
| infinitefactor | 1.0 | Bayesian Infinite Factor Models | Evan Poworoznek |
| InfiniumPurify | 1.3.1 | Estimate and Account for Tumor Purity in Cancer Methylation Data
Analysis | Yufang Qin |
| infix | 0.1.0 | Basic Infix Binary Operators | Ernest Benedito |
| Inflation | 0.1.0 | Core Inflation | Pedro Costa Ferreira |
| inflection | 1.3.6 | Finds the Inflection Point of a Curve | Demetris T. Christopoulos |
| InflectSSP | 1.6 | Melt Curve Fitting and Melt Shift Analysis | Amber Mosley |
| influence.ME | 0.9-9 | Tools for Detecting Influential Data in Mixed Effects Models | Rense Nieuwenhuis |
| influence.SEM | 2.3 | Case Influence in Structural Equation Models | Massimiliano Pastore |
| influenceAUC | 0.1.2 | Identify Influential Observations in Binary Classification | Bo-Shiang Ke |
| influenceR | 0.1.5 | Software Tools to Quantify Structural Importance of Nodes in a
Network | Aditya Khanna |
| influential | 2.2.9 | Identification and Classification of the Most Influential Nodes | Adrian Salavaty |
| influxdbclient | 0.1.2 | 'InfluxDB' 2.x Client | Ales Pour |
| influxdbr | 0.14.2 | R Interface to InfluxDB | Dominik Leutnant |
| infoDecompuTE | 0.6.2 | Information Decomposition of Two-Phase Experiments | Kevin Chang |
| infoelectoral | 1.0.0 | Download Spanish Election Results | Héctor Meleiro |
| Information | 0.0.9 | Data Exploration with Information Theory (Weight-of-Evidence and
Information Value) | Larsen Kim |
| InformativeCensoring | 0.3.6 | Multiple Imputation for Informative Censoring | Jonathan Bartlett |
| informedSen | 1.0.7 | Sensitivity Analysis Informed by a Test for Bias | Paul R Rosenbaum |
| infotheo | 1.2.0.1 | Information-Theoretic Measures | Patrick E. Meyer |
| InfoTrad | 1.2 | Calculates the Probability of Informed Trading (PIN) | Murat Tinic |
| infraFDTD.assist | 0.6 | IO Help for infraFDTD Model | Jake Anderson |
| Infusion | 2.1.0 | Inference Using Simulation | François Rousset |
| ingredients | 2.3.0 | Effects and Importances of Model Ingredients | Przemyslaw Biecek |
| ini | 0.3.1 | Read and Write '.ini' Files | David Valentim Dias |
| injectoR | 0.2.4 | R Dependency Injection | Lev Kuznetsov |
| InjurySeverityScore | 0.0.0.2 | Translate ICD-9 into Injury Severity Score | Dajun Tian |
| injurytools | 1.0.3 | A Toolkit for Sports Injury Data Analysis | Lore Zumeta Olaskoaga |
| INLABMA | 0.1-12 | Bayesian Model Averaging with INLA | Virgilio Gómez-Rubio |
| inlabru | 2.10.1 | Bayesian Latent Gaussian Modelling using INLA and Extensions | Finn Lindgren |
| INLAjoint | 24.3.25 | Multivariate Joint Modeling for Longitudinal and Time-to-Event
Outcomes with 'INLA' | Denis Rustand |
| INLAspacetime | 0.1.7 | Spatial and Spatio-Temporal Models using 'INLA' | Elias Teixeira Krainski |
| inlcolor | 1.0.6 | Color Schemes for the USGS Idaho National Laboratory Project
Office | Jason C. Fisher |
| inldata | 1.1.4 | Collection of Datasets for the USGS-INL Monitoring Networks | Jason C. Fisher |
| inline | 0.3.19 | Functions to Inline C, C++, Fortran Function Calls from R | Dirk Eddelbuettel |
| inlinedocs | 2023.9.4 | Convert Inline Comments to Documentation | Toby Dylan Hocking |
| inlpubs | 1.1.1 | USGS INL Project Office Publications | Jason C. Fisher |
| innsight | 0.3.0 | Get the Insights of Your Neural Network | Niklas Koenen |
| inops | 0.0.1 | Infix Operators for Detection, Subsetting and Replacement | Antoine Fabri |
| inpdfr | 0.1.12 | Analyse Text Documents Using Ecological Tools | Rebaudo Francois |
| inplace | 0.1.2 | In-place Operators for R | Florian Privé |
| InPosition | 0.12.7.1 | Inference Tests for ExPosition | Derek Beaton |
| INQC | 2.0.5 | Quality Control of Climatological Daily Time Series | Enric Aguilar |
| Inquilab | 0.1.0 | Dissipation Kinetics Analysis, Half Life Period, Rate Constant,
Plots | Jajati Mandal |
| insane | 1.0.3 | INsulin Secretion ANalysEr | Mickaël Canouil |
| insect | 1.4.2 | Informatic Sequence Classification Trees | Shaun Wilkinson |
| insectDisease | 1.2.2 | Ecological Database of the World's Insect Pathogens | Tad Dallas |
| insee | 1.1.5 | Tools to Easily Download Data from INSEE BDM Database | Hadrien Leclerc |
| insight | 0.19.10 | Easy Access to Model Information for Various Model Objects | Daniel Lüdecke |
| InSilicoVA | 1.4.0 | Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm | Zehang Richard Li |
| InspectChangepoint | 1.2 | High-Dimensional Changepoint Estimation via Sparse Projection | Tengyao Wang |
| inspectdf | 0.0.12 | Inspection, Comparison and Visualisation of Data Frames | Alastair Rushworth |
| inspector | 1.0.3 | Validation of Arguments and Objects in User-Defined Functions | Pedro Fonseca |
| INSPECTumours | 0.1.0 | IN-vivo reSPonsE Classification of Tumours | Bairu Zhang |
| INSPIRE | 1.5 | Inferring Shared Modules from Multiple Gene Expression Datasets
with Partially Overlapping Gene Sets | Safiye Celik |
| instagramadsR | 0.1.0 | Access to Instagram Ads via the 'Windsor.ai' API | Pablo Sanchez |
| install.load | 1.2.5 | Check, Install and Load CRAN Packages | Irucka Embry |
| installr | 0.23.4 | Using R to Install Stuff on Windows OS (Such As: R, 'Rtools',
'RStudio', 'Git', and More!) | Tal Galili |
| instantiate | 0.2.2 | Pre-Compiled 'CmdStan' Models in R Packages | William Michael Landau |
| instaR | 0.2.4 | Access to Instagram API via R | Pablo Barbera |
| insuranceData | 1.0 | A Collection of Insurance Datasets Useful in Risk Classification
in Non-life Insurance. | Alicja Wolny--Dominiak |
| insurancerating | 0.7.2 | Analytic Insurance Rating Techniques | Martin Haringa |
| InsuSensCalc | 0.0.1 | Insulin Sensitivity Indices Calculator | Sufyan Suleman |
| intamap | 1.5-7 | Procedures for Automated Interpolation | Jon Olav Skoien |
| intamapInteractive | 1.2-6 | Interactive Add-on Functionality for 'intamap' | Jon Skoien |
| IntCal | 0.3.1 | Radiocarbon Calibration Curves | Maarten Blaauw |
| intccr | 3.0.4 | Semiparametric Competing Risks Regression under Interval
Censoring | Jun Park |
| intcensROC | 0.1.3 | AUC Estimation of Interval Censored Survival Data | Yuan Wu |
| integIRTy | 1.0.7 | Integrating Multiple Modalities of High Throughput Assays Using
Item Response Theory | Kevin R. Coombes |
| integr | 1.0.0 | An Implementation of Interaction Graphs of Aleks Jakulin | Petar Markovic |
| IntegrateBs | 0.1.0 | Integration for B-Spline | Yue Bai |
| IntegratedJM | 1.6 | Joint Modeling of the Gene-Expression and Bioassay Data, Taking
Care of the Effect Due to a Fingerprint Feature | Rudradev Sengupta |
| IntegratedMRF | 1.1.9 | Integrated Prediction using Uni-Variate and Multivariate Random
Forests | Raziur Rahman |
| intendo | 0.1.1 | A Group of Fun Datasets of Various Sizes and Differing Levels of
Quality | Richard Iannone |
| intensegRid | 0.1.2 | R Wrapper for the Carbon Intensity API | Kasia Kulma |
| intensitynet | 1.4.0 | Intensity Analysis of Spatial Point Patterns on Complex Networks | Pol Llagostera |
| InteractionPoweR | 0.2.1 | Power Analyses for Interaction Effects in Cross-Sectional
Regressions | David Baranger |
| interactionR | 0.1.7 | Full Reporting of Interaction Analyses | Babatunde Alli |
| interactionRCS | 0.1.1 | Calculate Estimates in Models with Interaction | Giorgio Melloni |
| interactions | 1.1.5 | Comprehensive, User-Friendly Toolkit for Probing Interactions | Jacob A. Long |
| interactionTest | 1.2 | Calculates Critical Test Statistics to Control False Discovery
Rates in Marginal Effects Plots | Justin Esarey |
| Interatrix | 1.1.4 | Compute Chi-Square Measures with Corrections | Aurélie Siberchicot |
| interca | 0.1.2 | Multiple Correspondence Analysis Based on Interpretive
Coordinates | Stratos Moschidis |
| InteRD | 0.1.1 | The Integrated and Robust Deconvolution | Chixiang Chen |
| interep | 0.4.1 | Interaction Analysis of Repeated Measure Data | Fei Zhou |
| InterfaceqPCR | 1.0.1 | GUI to Analyse qPCR Results after PMA Treatment or not | Olivier LE GOFF |
| interflex | 1.2.6 | Multiplicative Interaction Models Diagnostics and Visualization | Ziyi Liu |
| interfr | 0.1.0 | Interference Color Charts for Polarized Light Microscopy | Olivier Eterradossi |
| intergraph | 2.0-4 | Coercion Routines for Network Data Objects | Michał Bojanowski |
| interim | 0.8.0 | Scheduling Interim Analyses in Clinical Trials | Bastian Becker |
| interimApp | 0.0.1 | App for Scheduling Interim Analyses in Clinical Trials | Bastian Becker |
| interleave | 0.1.2 | Converts Tabular Data to Interleaved Vectors | David Cooley |
| interlineaR | 1.0 | Importing Interlinearized Corpora and Dictionaries as Produced
by Descriptive Linguistics Software | Sylvain Loiseau |
| interp | 1.1-6 | Interpolation Methods | Albrecht Gebhardt |
| interplex | 0.1.2 | Coercion Methods for Simplicial Complex Data Structures | Jason Cory Brunson |
| interplot | 0.2.3 | Plot the Effects of Variables in Interaction Terms | Yue Hu |
| interpolation | 0.1.1 | Interpolation of Bivariate Functions | Stéphane Laurent |
| interpolators | 1.0.1 | Some Interpolation Methods | Stéphane Laurent |
| interpret | 0.1.33 | Fit Interpretable Machine Learning Models | Rich Caruana |
| interpretCI | 0.1.1 | Estimate the Confidence Interval and Interpret Step by Step | Keon-Woong Moon |
| InterpretMSSpectrum | 1.4.5 | Interpreting High Resolution Mass Spectra | Jan Lisec |
| interpretR | 0.2.5 | Binary Classifier and Regression Model Interpretation Functions | Michel Ballings |
| inters | 0.2.0 | Flexible Tools for Estimating Interactions | Matthew Blackwell |
| InterSIM | 2.2.0 | Simulation of Inter-Related Genomic Datasets | Prabhakar Chalise |
| InterVA4 | 1.7.6 | Replicate and Analyse 'InterVA4' | Zehang Richard Li |
| InterVA5 | 1.1.3 | Replicate and Analyse 'InterVA5' | Jason Thomas |
| interval | 1.1-1.0 | Weighted Logrank Tests and NPMLE for Interval Censored Data | Michael P. Fay |
| intervalaverage | 0.8.0 | Time-Weighted Averaging for Interval Data | Michael Young |
| IntervalQuestionStat | 0.2.0 | Tools to Deal with Interval-Valued Responses in Questionnaires | José García-García |
| intervals | 0.15.4 | Tools for Working with Points and Intervals | Edzer Pebesma |
| IntervalSurgeon | 1.3 | Operating on Integer-Bounded Intervals | Daniel Greene |
| intervcomp | 0.1.2 | Hypothesis Testing Using the Overlapping Interval Estimates | Kimihiro Noguchi |
| inTextSummaryTable | 3.3.2 | Creation of in-Text Summary Table | Laure Cougnaud |
| inti | 0.6.4 | Tools and Statistical Procedures in Plant Science | Flavio Lozano-Isla |
| intkrige | 1.0.1 | A Numerical Implementation of Interval-Valued Kriging | Brennan Bean |
| intmap | 1.0.0 | Ordered Containers with Integer Keys | Stéphane Laurent |
| intmed | 0.1.2 | Mediation Analysis using Interventional Effects | Gary Chan |
| IntNMF | 1.2.0 | Integrative Clustering of Multiple Genomic Dataset | Prabhakar Chalise |
| intradayModel | 0.0.1 | Modeling and Forecasting Financial Intraday Signals | Daniel P. Palomar |
| inTrees | 1.3 | Interpret Tree Ensembles | Houtao Deng |
| intRegGOF | 0.85-5 | Integrated Regression Goodness of Fit | Jorge Luis Ojeda Cabrera |
| INTRIGUE | 0.1.0 | Quantify and Control Reproducibility in High-Throughput
Experiments | Michael Kleinsasser |
| intRinsic | 1.0.2 | Likelihood-Based Intrinsic Dimension Estimators | Francesco Denti |
| intrinsicDimension | 1.2.0 | Intrinsic Dimension Estimation | Kerstin Johnsson |
| intrinsicFRP | 2.0.1 | An R Package for Factor Model Asset Pricing | Alberto Quaini |
| intrinsicKappa | 0.1 | Sample Size Planning Based on Intrinsic Kappa Value | David Schindler |
| intrval | 0.1-2 | Relational Operators for Intervals | Peter Solymos |
| intRvals | 1.0.1 | Analysis of Time-Ordered Event Data with Missed Observations | Adriaan M. Dokter |
| intSDM | 2.0.2 | Reproducible Integrated Species Distribution Models Across
Norway using 'INLA' | Philip Mostert |
| intsurv | 0.2.2 | Integrative Survival Modeling | Wenjie Wang |
| intsvy | 2.9 | International Assessment Data Manager | Daniel Caro |
| inum | 1.0-5 | Interval and Enum-Type Representation of Vectors | Torsten Hothorn |
| invacost | 1.1-6 | Analyse Biological Invasion Costs with the 'InvaCost' Database | Boris Leroy |
| InvariantCausalPrediction | 0.8 | Invariant Causal Prediction | Nicolai Meinshausen |
| InvasionCorrection | 0.1 | Invasion Correction | Marcus Rosenblatt |
| invctr | 0.2.0 | Infix Functions For Vector Operations | Fred Hasselman |
| inventorize | 1.1.1 | Inventory Analytics, Pricing and Markdowns | Haytham Omar |
| Inventorymodel | 1.1.0.1 | Inventory Models | Alejandro Saavedra Nieves |
| inverseRegex | 0.1.1 | Reverse Engineers Regular Expression Patterns for R Objects | Jasper Watson |
| invertiforms | 0.1.1 | Invertible Transforms for Matrices | Alex Hayes |
| investr | 1.4.2 | Inverse Estimation/Calibration Functions | Brandon M. Greenwell |
| invgamma | 1.1 | The Inverse Gamma Distribution | David Kahle |
| invgamstochvol | 1.0.0 | Obtains the Log Likelihood for an Inverse Gamma Stochastic
Volatility Model | Blessings Majoni |
| invGauss | 1.2 | Threshold Regression that Fits the (Randomized Drift) Inverse
Gaussian Distribution to Survival Data | Hakon K. Gjessing |
| InvStablePrior | 0.1.1 | Inverse Stable Prior for Widely-Used Exponential Models | Dexter Cahoy |
| iNZightMR | 2.3.0 | Tools for Exploring Multiple Response Data | Tom Elliott |
| iNZightPlots | 2.15.3 | Graphical Tools for Exploring Data with 'iNZight' | Tom Elliott |
| iNZightRegression | 1.3.4 | Tools for Exploring Regression Models with 'iNZight' | Tom Elliott |
| iNZightTools | 2.0.1 | Tools for 'iNZight' | Tom Elliott |
| iNZightTS | 2.0.0 | Time Series for 'iNZight' | Tom Elliott |
| io | 0.3.2 | A Unified Framework for Input-Output Operations in R | David J. H. Shih |
| ioanalysis | 0.3.4 | Input Output Analysis | John Wade |
| IOHanalyzer | 0.1.8.10 | Data Analysis Part of 'IOHprofiler' | Diederick Vermetten |
| IOHexperimenter | 0.1.4 | Benchmarking Part of the 'IOHprofiler' | Diederick Vermetten |
| IOLS | 0.1.4 | Iterated Ordinary Least Squares Regression | Nassim Zbalah |
| ioncopy | 2.2.2 | Calling Copy Number Alterations in Amplicon Sequencing Data | Jan Budczies |
| ionet | 0.2.2 | Network Analysis for Input-Output Tables | Shiying Xiao |
| ionr | 0.3.0 | Test for Indifference of Indicator | Uku Vainik |
| iopspackage | 2.1.0 | IO-PS Framework Package | Christiaan Pieterse |
| iopsych | 0.90.1 | Methods for Industrial/Organizational Psychology | Allen Goebl |
| iosmooth | 0.94 | Functions for Smoothing with Infinite Order Flat-Top Kernels | Timothy L. McMurry |
| iotables | 0.9.3 | Reproducible Input-Output Economics Analysis, Economic and
Environmental Impact Assessment with Empirical Data | Daniel Antal |
| iotarelr | 0.1.5 | Iota Inter Coder Reliability for Content Analysis | Berding Florian |
| iotools | 0.3-5 | I/O Tools for Streaming | Simon Urbanek |
| IP | 0.1.3 | Classes and Methods for 'IP' Addresses | Thomas Soubiran |
| ip2location | 8.1.3 | Lookup for IP Address Information | Kai Wen Ooi |
| ip2proxy | 1.2.0 | Lookup for IP Address Proxy Information | Kai Wen Ooi |
| ipa | 0.1.0 | Convert Between Phonetic Alphabets | Alexander Rossell Hayes |
| ipaddress | 1.0.2 | Data Analysis for IP Addresses and Networks | David Hall |
| ipADMIXTURE | 0.1.0 | Iterative Pruning Population Admixture Inference Framework | Chainarong Amornbunchornvej |
| ipanema | 1.1.0 | Read Data from 'LimeSurvey' | Maximilian Hagspiel |
| ipbase | 0.1.1 | Client for the 'ipbase.com' IP Geolocation API | Dominik Kukacka |
| ipc | 0.1.4 | Tools for Message Passing Between Processes | Ian E. Fellows |
| IPCAPS | 1.1.8 | Iterative Pruning to Capture Population Structure | Kridsadakorn Chaichoompu |
| IPCWK | 1.0 | Kendall's Tau Partial Corr. for Survival Trait and Biomarkers | Jie-Huei Wang |
| ipcwswitch | 1.0.4 | Inverse Probability of Censoring Weights to Deal with Treatment
Switch in Randomized Clinical Trials | Nathalie Graffeo |
| IPDFileCheck | 0.8.1 | Basic Functions to Check Readability, Consistency, and Content
of an Individual Participant Data File | Sheeja Manchira Krishnan |
| IPDfromKM | 0.1.10 | Map Digitized Survival Curves Back to Individual Patient Data | Na Liu |
| ipdw | 2.0-0 | Spatial Interpolation by Inverse Path Distance Weighting | Jemma Stachelek |
| ipeadatar | 0.1.6 | API Wrapper for 'Ipeadata' | Luiz Eduardo S. Gomes |
| IPEC | 1.1.0 | Root Mean Square Curvature Calculation | Peijian Shi |
| IPEDS | 0.1.0 | Data from the Integrated Post-Secondary Education Data System | Aushanae Haller |
| IPEDSuploadables | 2.8.7 | Transforms Institutional Data into Text Files for IPEDS
Automated Import/Upload | Alison Lanski |
| iperform | 0.0.3 | Time Series Performance | Patrick Ilunga |
| ipflasso | 1.1 | Integrative Lasso with Penalty Factors | Anne-Laure Boulesteix |
| ipfp | 1.0.2 | Fast Implementation of the Iterative Proportional Fitting
Procedure in C | Alexander W Blocker |
| ipfr | 1.0.2 | List Balancing for Reweighting and Population Synthesis | Kyle Ward |
| ipft | 0.7.2 | Indoor Positioning Fingerprinting Toolset | Emilio Sansano |
| ipkg | 1.1.1 | Install R Packages or Download File from GitHub via the Proxy
Site | Xinyuan Chu |
| IPLGP | 2.0.4 | Identification of Parental Lines via Genomic Prediction | Ping-Yuan Chung |
| iplookupapi | 0.1.0 | Client for the 'iplookupapi.com' IP Lookup API | Dominik Kukacka |
| iplots | 1.1-8 | iPlots - Interactive Graphics for R | Simon Urbanek |
| IPMbook | 0.1.5 | Functions and Data for the Book 'Integrated Population Models' | Ken Kellner |
| ipmr | 0.0.7 | Integral Projection Models | Sam Levin |
| ipolygrowth | 0.1.2 | Individual Growth Curve Parameter Calculation using Polynomial
Functions | Jifan Wang |
| IPPP | 1.1 | Inhomogeneous Poisson Point Processes | Niklas Hohmann |
| ipr | 0.1.0 | Iterative Proportional Repartition Algorithm | Jean-Benoit Rossel |
| ipred | 0.9-14 | Improved Predictors | Torsten Hothorn |
| iprior | 0.7.4 | Regression Modelling using I-Priors | Haziq Jamil |
| ips | 0.0.11 | Interfaces to Phylogenetic Software in R | Christoph Heibl |
| ipsecr | 1.4.1 | Spatially Explicit Capture-Recapture by Inverse Prediction | Murray Efford |
| ipsfs | 1.0.0 | Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity
Measure | Rama Ranjan Panda |
| ipsRdbs | 0.2.6 | Introduction to Probability, Statistics and R for Data Based
Sciences | Sujit K. Sahu |
| ipumsr | 0.7.2 | An R Interface for Downloading, Reading, and Handling IPUMS Data | Derek Burk |
| IPV | 1.0.0 | Item Pool Visualization | Nils Petras |
| ipw | 1.2.1 | Estimate Inverse Probability Weights | Willem M. van der Wal |
| IPWboxplot | 0.1.2 | Adapted Boxplot to Missing Observations | Ana Perez-Gonzalez |
| ipwCoxCSV | 1.0 | Inverse Probability Weighted Cox Model with Corrected Sandwich
Variance | Di Shu |
| ipwErrorY | 2.1 | Inverse Probability Weighted Estimation of Average Treatment
Effect with Misclassified Binary Outcome | Di Shu |
| iq | 1.9.12 | Protein Quantification in Mass Spectrometry-Based Proteomics | Thang Pham |
| IQCC | 0.7 | Improved Quality Control Charts | Flavio Barros |
| ir | 0.2.1 | Functions to Handle and Preprocess Infrared Spectra | Henning Teickner |
| irace | 3.5 | Iterated Racing for Automatic Algorithm Configuration | Manuel López-Ibáñez |
| iraceplot | 1.2 | Plots for Visualizing the Data Produced by the 'irace' Package | Manuel López-Ibáñez |
| iRafNet | 1.1-1 | Integrative Random Forest for Gene Regulatory Network Inference | Francesca Petralia |
| irboost | 0.1-1.3 | Iteratively Reweighted Boosting for Robust Analysis | Zhu Wang |
| IRCcheck | 1.0.0 | Irrepresentable Condition Check | Donald Williams |
| ircor | 1.0 | Correlation Coefficients for Information Retrieval | Julián Urbano |
| IRdisplay | 1.1 | 'Jupyter' Display Machinery | Philipp Angerer |
| iRegression | 1.2.1 | Regression Methods for Interval-Valued Variables | Eufrasio de A. Lima Neto |
| iRepro | 1.2 | Reproducibility for Interval-Censored Data | Jelena Kovacic |
| Irescale | 2.3.0 | Calculate and Rectify Moran's I | Ivan Fuentes |
| IRexamples | 0.0.4 | Collection of Practical Institutional Research Examples and
Tutorials | Vinh Nguyen |
| irg | 0.1.6 | Instantaneous Rate of Green Up | Alec L. Robitaille |
| IrishDirectorates | 1.4 | A Dynamic Bipartite Latent Space Model to Analyse Irish
Companies' Boards from 2003 to 2013 | Riccardo Rastelli |
| IRISMustangMetrics | 2.4.6 | Statistics and Metrics for Seismic Data | Gillian Sharer |
| IRISSeismic | 1.6.6 | Classes and Methods for Seismic Data Analysis | Gillian Sharer |
| IRkernel | 1.3.2 | Native R Kernel for the 'Jupyter Notebook' | Philipp Angerer |
| irlba | 2.3.5.1 | Fast Truncated Singular Value Decomposition and Principal
Components Analysis for Large Dense and Sparse Matrices | B. W. Lewis |
| iRoCoDe | 1.0.1 | Incomplete Row-Column Designs | Md. Ashraful Haque |
| IRon | 0.1.4 | Solving Imbalanced Regression Tasks | Nuno Moniz |
| irr | 0.84.1 | Various Coefficients of Interrater Reliability and Agreement | Matthias Gamer |
| irrCAC | 1.0 | Computing Chance-Corrected Agreement Coefficients (CAC) | Kilem L. Gwet |
| IrregLong | 0.3.4 | Analysis of Longitudinal Data with Irregular Observation Times | Eleanor Pullenayegum |
| irrICC | 1.0 | Intraclass Correlations for Quantifying Inter-Rater Reliability | Kilem L. Gwet |
| irrNA | 0.2.3 | Coefficients of Interrater Reliability – Generalized for
Randomly Incomplete Datasets | Markus Brueckl |
| irt | 0.2.9 | Item Response Theory and Computerized Adaptive Testing Functions | Emre Gonulates |
| irtawsi | 0.3.4 | Items Response Theory Analysis with Steps and Interpretation | Hari Purnomo Susanto |
| IRTBEMM | 1.0.8 | Family of Bayesian EMM Algorithm for Item Response Models | Shaoyang Guo |
| irtDemo | 0.1.4 | Item Response Theory Demo Collection | Metin Bulus |
| IRTest | 2.0.0 | Parameter Estimation of Item Response Theory with Estimation of
Latent Distribution | Seewoo Li |
| irtGUI | 0.2 | Item Response Theory Analysis with a Graphic User Interface | Huseyin Yildiz |
| irtoys | 0.2.2 | A Collection of Functions Related to Item Response Theory (IRT) | Ivailo Partchev |
| irtpwr | 1.0.3 | Power Analysis for IRT Models Using the Wald, LR, Score, and
Gradient Statistics | Felix Zimmer |
| irtQ | 0.2.0 | Unidimensional Item Response Theory Modeling | Hwanggyu Lim |
| irtrees | 1.0.0 | Estimation of Tree-Based Item Response Models | Ivailo Partchev |
| irtreliability | 0.1-1 | Item Response Theory Reliability | Bjorn Andersson |
| IRTShiny | 1.2 | Item Response Theory via Shiny | W. Kyle Hamilton |
| isa2 | 0.3.6 | The Iterative Signature Algorithm | Gabor Csardi |
| ISAR | 0.1.12 | Introduction to Sports Analytics using R (ISAR) Data | Ryan Elmore |
| ISAT | 1.0.5 | Extract Cell Density and Nearest Distance Based on 'PerkinElmer
InForm' Software Output | Minyu Wang |
| isatabr | 1.0.1 | Implementation for the ISA Abstract Model | Bart-Jan van Rossum |
| ISCO08ConveRsions | 0.2.0 | Converts ISCO-08 to Job Prestige Scores, ISCO-88 and Job Name | Nicole Schwitter |
| iscoCrosswalks | 1.0.0 | Crosswalks Between Classifications of Occupations | Alexandros Kouretsis |
| Iscores | 1.1.0 | Proper Scoring Rules for Missing Value Imputation | Loris Michel |
| isdals | 3.0.1 | Datasets for Introduction to Statistical Data Analysis for the
Life Sciences | Claus Ekstrom |
| isdparser | 0.4.0 | Parse 'NOAA' Integrated Surface Data Files | Scott Chamberlain |
| ISEtools | 3.2.0 | Ion Selective Electrodes Analysis Methods | Peter Dillingham |
| iSFun | 1.1.0 | Integrative Dimension Reduction Analysis for Multi-Source Data | Rui Ren |
| IsingFit | 0.4 | Fitting Ising Models Using the ELasso Method | Sacha Epskamp |
| Isinglandr | 0.1.1 | Landscape Construction and Simulation for Ising Networks | Jingmeng Cui |
| isingLenzMC | 0.2.5 | Monte Carlo for Classical Ising Model | Mehmet Suzen |
| IsingSampler | 0.2.3 | Sampling Methods and Distribution Functions for the Ising Model | Sacha Epskamp |
| island | 0.2.10 | Stochastic Island Biogeography Theory Made Easy | Vicente Jimenez |
| islasso | 1.5.2 | The Induced Smoothed Lasso | Gianluca Sottile |
| ISLR | 1.4 | Data for an Introduction to Statistical Learning with
Applications in R | Trevor Hastie |
| ISLR2 | 1.3-2 | Introduction to Statistical Learning, Second Edition | Trevor Hastie |
| ISM | 0.1.0 | Interpretive Structural Modelling (ISM) | Gunjan Bansal |
| ismev | 1.42 | An Introduction to Statistical Modeling of Extreme Values | Eric Gilleland |
| ismtchile | 2.1.5 | Calculating Socio Material Territorial Index | Martín Rosas Araya |
| isni | 1.3 | Index of Local Sensitivity to Nonignorability | Hui Xie |
| isnullptr | 1.0.1 | Check if an 'externalptr' is a Null Pointer | Jonas Förster |
| Iso | 0.0-21 | Functions to Perform Isotonic Regression | Rolf Turner |
| ISO11784Tools | 1.1.4 | ISO11784 PIT Tag ID Format Converters | Graeme Diack |
| isoband | 0.2.7 | Generate Isolines and Isobands from Regularly Spaced Elevation
Grids | Hadley Wickham |
| isoboost | 1.0.1 | Isotonic Boosting Classification Rules | David Conde |
| isobxr | 2.0.0 | Stable Isotope Box Modelling in R | Theo Tacail |
| isocalcR | 0.1.1 | Isotope Calculations in R | Justin Mathias |
| isocat | 0.3.0 | Isotope Origin Clustering and Assignment Tools | Caitlin Campbell |
| IsoCheck | 0.1.0 | Isomorphism Check for Multi-Stage Factorial Designs with
Randomization Restrictions | Pritam Ranjan |
| isocir | 2.0-7.1 | Isotonic Inference for Circular Data | Sandra Barragan |
| ISOcodes | 2024.02.12 | Selected ISO Codes | Kurt Hornik |
| IsoCor | 0.1.40 | Analyze Isotope Ratios in a 'Shiny'-App | Jan Lisec |
| isocountry | 0.2.0 | ISO 3166-1 Country Codes | Maximilian Muecke |
| isodistrreg | 0.1.0 | Isotonic Distributional Regression (IDR) | Alexander Henzi |
| IsoGene | 1.0-24 | Order-Restricted Inference for Microarray Experiments | Rudradev Sengupta |
| isogeochem | 1.1.1 | Tools for Stable Isotope Geochemistry | David Bajnai |
| isokernel | 0.1.0 | Isolation Kernel | Ye Zhu |
| IsoMemo | 23.10.1 | Retrieve Data using the 'IsoMemo' API | Jan Abel |
| isoorbi | 1.3.0 | Process Orbitrap Isotopocule Data | Caj Neubauer |
| isopam | 2.0 | Clustering of Sites with Species Data | Sebastian Schmidtlein |
| isopleuros | 1.2.0 | Ternary Plots | Nicolas Frerebeau |
| IsoplotR | 6.1 | Statistical Toolbox for Radiometric Geochronology | Pieter Vermeesch |
| IsoplotRgui | 6.1 | Web Interface to 'IsoplotR' | Pieter Vermeesch |
| ISOpureR | 1.1.3 | Deconvolution of Tumour Profiles | Paul C Boutros |
| IsoriX | 0.9.2 | Isoscape Computation and Inference of Spatial Origins using
Mixed Models | Alexandre Courtiol |
| IsoSpecR | 2.1.3 | The IsoSpec Algorithm | Matteo Lacki |
| isoSurv | 0.3.0 | Isotonic Regression on Survival Analysis | Yunro Chung |
| isotone | 1.1-1 | Active Set and Generalized PAVA for Isotone Optimization | Patrick Mair |
| isotonic.pen | 1.0 | Penalized Isotonic Regression in one and two dimensions | Mary Meyer |
| IsotopeR | 0.5.4 | Stable Isotope Mixing Model | Jake Ferguson |
| isotracer | 1.1.5 | Isotopic Tracer Analysis Using MCMC | Matthieu Bruneaux |
| isotree | 0.6.1-1 | Isolation-Based Outlier Detection | David Cortes |
| isoWater | 1.1.2 | Discovery, Retrieval, and Analysis of Water Isotope Data | Gabe Bowen |
| ISOweek | 0.6-2 | Week of the year and weekday according to ISO 8601 | Uwe Block |
| ispd | 0.2 | Incomplete Split-Plot Designs | Baidya Nath Mandal |
| ispdata | 1.1.2 | Access Data from the Public Security Institute of the State of
Rio De Janeiro | Igor Laltuf |
| ISR | 2022.4.22 | The Iterated Score Regression-Based Estimation Algorithm | Guangbao Guo |
| ISRaD | 2.5.5 | Tools and Data for the International Soil Radiocarbon Database | Jeffrey Beem-Miller |
| ISS | 1.0.0 | Isotonic Subgroup Selection | Manuel M. Müller |
| istacr | 0.2.2 | Obtaining Open Data from Instituto Canario De Estadistica
(ISTAC) API | Alberto Gonzalez |
| iSTATS | 1.7 | A Graphical Interface to Perform STOCSY Analyses on NMR Data | Luiz Henrique Keng Queiroz Junior |
| iSubGen | 1.0.1 | Integrative Subtype Generation | Paul C Boutros |
| isva | 1.9 | Independent Surrogate Variable Analysis | Andrew Teschendorff |
| ISwR | 2.0-8 | Introductory Statistics with R | Peter Dalgaard |
| italy | 0.1.0 | The Italian Survey on Household and Wealth, 2008 and 2010 | Rebecca Steorts |
| itan | 3.1.1 | Item Analysis for Multiple Choice Tests | Ariel Armijo |
| itcSegment | 1.0 | Individual Tree Crowns Segmentation | Michele Dalponte |
| itdr | 2.0.1 | Integral Transformation Methods for SDR in Regression | Tharindu P. De Alwis |
| itemanalysis | 1.1 | Classical Test Theory Item Analysis | Cengiz Zopluoglu |
| iTensor | 1.0.2 | ICA-Based Matrix/Tensor Decomposition | Koki Tsuyuzaki |
| IterativeHardThresholding | 1.0.2 | Iterative Hard Thresholding Extensions to Cyclops | Marc A. Suchard |
| iteratoR | 0.1.1 | Print Loop Iterations at Exponentially Disparate Intervals | Steve Condylios |
| iterators | 1.0.14 | Provides Iterator Construct | Folashade Daniel |
| iterLap | 1.1-4 | Approximate Probability Densities by Iterated Laplace
Approximations | Bjoern Bornkamp |
| iterors | 1.0 | Fast, Compact Iterators and Tools | Peter Meilstrup |
| iterpc | 0.4.2 | Efficient Iterator for Permutations and Combinations | Randy Lai |
| itertools | 0.1-3 | Iterator Tools | Steve Weston |
| itertools2 | 0.1.1 | itertools2: Functions creating iterators for efficient looping | John A. Ramey |
| ITNr | 0.7.0 | Analysis of the International Trade Network | Matthew Smith |
| itol.toolkit | 1.1.7 | Helper Functions for 'Interactive Tree Of Life' | Tong Zhou |
| iTOP | 1.0.2 | Inferring the Topology of Omics Data | Nanne Aben |
| itp | 1.2.1 | The Interpolate, Truncate, Project (ITP) Root-Finding Algorithm | Paul J. Northrop |
| itraxR | 1.12.1 | Itrax Data Analysis Tools | Thomas Bishop |
| its.analysis | 1.6.0 | Running Interrupted Time Series Analysis | Patrick English |
| itsadug | 2.4.1 | Interpreting Time Series and Autocorrelated Data Using GAMMs | Jacolien van Rij |
| itscalledsoccer | 0.2.4 | American Soccer Analysis API Client | Tyler Richardett |
| itsdm | 0.2.1 | Isolation Forest-Based Presence-Only Species Distribution
Modeling | Lei Song |
| itsmr | 1.10 | Time Series Analysis Using the Innovations Algorithm | George Weigt |
| ivaBSS | 1.0.0 | Tools for Independent Vector Analysis | Mika Sipilä |
| ivdesc | 1.1.1 | Profiling Compliers and Non-Compliers for Instrumental Variable
Analysis | Moritz Marbach |
| ivdesign | 0.1.0 | Hypothesis Testing in Cluster-Randomized Encouragement Designs | Bo Zhang |
| ivDiag | 1.0.6 | Estimation and Diagnostic Tools for Instrumental Variables
Designs | Yiqing Xu |
| ivdoctr | 1.0.1 | Ensures Mutually Consistent Beliefs When Using IVs | Mallick Hossain |
| ivgets | 0.1.1 | General to Specific Modeling and Indicator Saturation in 2SLS
Models | Kurle Jonas |
| ivitr | 0.1.0 | Estimate IV-Optimal Individualized Treatment Rules | Bo Zhang |
| ivmodel | 1.9.1 | Statistical Inference and Sensitivity Analysis for Instrumental
Variables Model | Hyunseung Kang |
| ivmte | 1.4.0 | Instrumental Variables: Extrapolation by Marginal Treatment
Effects | Joshua Shea |
| ivo.table | 0.4.1 | Nicely Formatted Contingency Tables and Frequency Tables | Måns Thulin |
| ivprobit | 1.1 | Instrumental Variables Probit Model | Zaghdoudi Taha |
| ivreg | 0.6-2 | Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM',
with Diagnostics | Achim Zeileis |
| ivs | 0.2.0 | Interval Vectors | Davis Vaughan |
| ivsacim | 2.1.0 | Structural Additive Cumulative Intensity Models with IV | Andrew Ying |
| ivtools | 2.3.0 | Instrumental Variables | Arvid Sjolander |
| ivx | 1.1.0 | Robust Econometric Inference | Kostas Vasilopoulos |
| IVYplot | 0.1.0 | Produces an IVY Plot (Similar to Dot Plot) with/without
Frequencies | Tri Ha Minh Nguyen |
| iwaqr | 1.8.4 | Irrigation Water Quality Assessment and Visualizations | Wajid Ali |
| iWeigReg | 1.1 | Improved Methods for Causal Inference and Missing Data Problems | Zhiqiang Tan |
| ixplorer | 0.2.2 | Easy DataOps for R Users | Frans van Dunne |
| IxPopDyMod | 0.3.0 | Framework for Tick Population and Infection Modeling | Myles Stokowski |
| iZID | 0.0.1 | Identify Zero-Inflated Distributions | Lei Wang |
| izmir | 0.1.0 | R Wrapper for Izmir Municipality Open Data Portal | Ozancan Ozdemir |
| jaatha | 3.2.5 | Simulation-Based Maximum Likelihood Parameter Estimation | Dirk Metzler |
| jab.adverse.reactions | 1.0.3 | Possible Adverse Events/Reactions from the
Vaccinations/Experimental Gene Therapies | Irucka Embry |
| jaccard | 0.1.0 | Test Similarity Between Binary Data using Jaccard/Tanimoto
Coefficients | Neo Christopher Chung |
| jack | 5.3.0 | Jack, Zonal, and Schur Polynomials | Stéphane Laurent |
| jackalope | 1.1.5 | A Swift, Versatile Phylogenomic and High-Throughput Sequencing
Simulator | Lucas A. Nell |
| jackknifeR | 1.2.0 | Delete-d Jackknife for Point and Interval Estimation | S. Mohanasundaram |
| jackstrap | 0.1.0 | Correcting Nonparametric Frontier Measurements for Outliers | Kleber Morais de Sousa |
| jackstraw | 1.3.9 | Statistical Inference for Unsupervised Learning | Neo Christopher Chung |
| jacobi | 3.1.1 | Jacobi Theta Functions and Related Functions | Stéphane Laurent |
| JacobiEigen | 0.3-4 | Classical Jacobi Eigenvalue Algorithm | Bill Venables |
| jacpop | 0.6 | Jaccard Index for Population Structure Identification | Dmitry Prokopenko |
| JADE | 2.0-4 | Blind Source Separation Methods Based on Joint Diagonalization
and Some BSS Performance Criteria | Klaus Nordhausen |
| jadeLizardOptions | 1.0.1 | Trading Jade Lizard Option Strategies | MaheshP Kumar |
| jage | 0.1.0 | Estimation of Developmental Age | Valerie Sgheiza |
| jaggR | 0.1.1 | Supporting Files and Functions for the Book Bayesian Modelling
with 'JAGS' | James Curran |
| jagshelper | 0.2.2 | Extracting and Visualizing Output from 'jagsUI' | Matt Tyers |
| jagstargets | 1.1.0 | Targets for JAGS Pipelines | William Michael Landau |
| jagsUI | 1.6.2 | A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses | Ken Kellner |
| jalcal | 0.1.0 | Conversion Between Jalali (Persian or Solar Hijri) and Gregorian
Calendar Dates | Abdollah Jalilian |
| JamendoR | 0.1.1 | Access to 'Jamendo' API | Maximilian Greil |
| janeaustenr | 1.0.0 | Jane Austen's Complete Novels | Julia Silge |
| janitor | 2.2.0 | Simple Tools for Examining and Cleaning Dirty Data | Sam Firke |
| janus | 1.0.0 | Optimized Recommending System Based on 'tensorflow' | Giancarlo Vercellino |
| japanstat | 0.1.0 | Tools for Easy Use of 'e-Stat' API | Mizuki Uchida |
| jarbes | 2.0.0 | Just a Rather Bayesian Evidence Synthesis | Pablo Emilio Verde |
| JATSdecoder | 1.2.0 | A Metadata and Text Extraction and Manipulation Tool Set | Ingmar Böschen |
| JavaGD | 0.6-5 | Java Graphics Device | Simon Urbanek |
| Jaya | 0.1.9 | Jaya, a Gradient-Free Optimization Algorithm | Neeraj Bokde |
| JBrowseR | 0.10.2 | An R Interface to the JBrowse 2 Genome Browser | Colin Diesh |
| jcext | 0.1.1 | Extended Classification of Weather Types | Noelia Otero |
| jcolors | 0.0.5 | Colors Palettes for R and 'ggplot2', Additional Themes for
'ggplot2' | Jared Huling |
| jcp | 1.2 | Joint Change Point Detection | Michael Messer |
| JCRImpactFactor | 1.0.0 | Journal Citation Reports ('JCR') Impact Factor by 'Clarivate'
'Analytics' | Shahla Faisal |
| jdenticon | 0.1.1 | A Wrapper for the Node.js 'Jdenticon' Library | Matt Roumaya |
| Jdmbs | 1.4 | Monte Carlo Option Pricing Algorithms for Jump Diffusion Models
with Correlational Companies | Masashi Okada |
| jds.rmd | 0.3.3 | R Markdown Templates for Journal of Data Science | Wenjie Wang |
| jeek | 1.1.1 | A Fast and Scalable Joint Estimator for Integrating Additional
Knowledge in Learning Multiple Related Sparse Gaussian
Graphical Models | Beilun Wang |
| jenga | 1.3.0 | Fast Extrapolation of Time Features using K-Nearest Neighbors | Giancarlo Vercellino |
| jetpack | 0.5.5 | A Friendly Package Manager | Andrew Kane |
| jetset | 3.4.0 | One-to-One Gene-Probeset Mapping for Affymetrix Human
Microarrays | Aron Eklund |
| jewel | 2.0.1 | Graphical Models Estimation from Multiple Sources | Anna Plaksienko |
| jfa | 0.7.1 | Statistical Methods for Auditing | Koen Derks |
| JFE | 2.5.6 | Tools for Analyzing Time Series Data of Just Finance and
Econometrics | Ho Tsung-wu |
| JFM | 1.0 | Rock Mass Structural Analysis from 3D Mesh of Point Cloud | Riccardo Campana |
| JGL | 2.3.2 | Performs the Joint Graphical Lasso for Sparse Inverse Covariance
Estimation on Multiple Classes | Patrick Danaher |
| JGR | 1.9-2 | Java GUI for R | Markus Helbig |
| jgsbook | 1.0.4 | Package of the German Book "Statistik mit R und RStudio" by
Joerg grosse Schlarmann | Jörg große Schlarmann |
| JICO | 0.0 | Joint and Individual Regression | Peiyao Wang |
| jiebaR | 0.11 | Chinese Text Segmentation | Qin Wenfeng |
| jiebaRD | 0.1 | Chinese Text Segmentation Data for jiebaR Package | Qin Wenfeng |
| jinjar | 0.3.1 | Template Engine Inspired by 'Jinja' | David Hall |
| jipApprox | 0.1.5 | Approximate Inclusion Probabilities for Survey Sampling | Roberto Sichera |
| jjb | 0.1.1 | Balamuta Miscellaneous | James Balamuta |
| jlctree | 0.0.2 | Joint Latent Class Trees for Joint Modeling of Time-to-Event and
Longitudinal Data | Ningshan Zhang |
| jlmerclusterperm | 1.1.3 | Cluster-Based Permutation Analysis for Densely Sampled Time Data | June Choe |
| JLPM | 1.0.2 | Joint Latent Process Models | Viviane Philipps |
| JM | 1.5-2 | Joint Modeling of Longitudinal and Survival Data | Dimitris Rizopoulos |
| jmastats | 0.2.1 | Download Weather Data from Japan Meteorological Agency Website | Shinya Uryu |
| jmatrix | 1.5 | Read from/Write to Disk Matrices with any Data Type in a Binary
Format | Juan Domingo |
| JMbayes | 0.8-85 | Joint Modeling of Longitudinal and Time-to-Event Data under a
Bayesian Approach | Dimitris Rizopoulos |
| JMbayes2 | 0.4-5 | Extended Joint Models for Longitudinal and Time-to-Event Data | Dimitris Rizopoulos |
| jmBIG | 0.1.2 | Joint Longitudinal and Survival Model for Big Data | Atanu Bhattacharjee |
| jmcm | 0.2.4 | Joint Mean-Covariance Models using 'Armadillo' and S4 | Jianxin Pan |
| jmdem | 1.0.1 | Fitting Joint Mean and Dispersion Effects Models | Ka Yui Karl Wu |
| JMdesign | 1.5 | Joint Modeling of Longitudinal and Survival Data - Power
Calculation | Shannon T. Holloway |
| jmetrik | 1.1 | Tools for Interacting with 'jMetrik' | J. Patrick Meyer |
| JMH | 1.0.3 | Joint Model of Heterogeneous Repeated Measures and Survival Data | Shanpeng Li |
| JMI | 0.1.0 | Jackknife Mutual Information | Zeng Xianli |
| Jmisc | 0.3.1.1 | Julian Miscellaneous Function | TszKin Julian Chan |
| jmotif | 1.1.1 | Time Series Analysis Toolkit Based on Symbolic Aggregate
Discretization, i.e. SAX | Pavel Senin |
| jmuOutlier | 2.2 | Permutation Tests for Nonparametric Statistics | Steven T. Garren |
| jmv | 2.4.11 | The 'jamovi' Analyses | Jonathon Love |
| jmvconnect | 2.3.13 | Connect to the 'jamovi' Statistical Spreadsheet | Jonathon Love |
| jmvcore | 2.4.7 | Dependencies for the 'jamovi' Framework | Jonathon Love |
| jmvReadWrite | 0.4.5 | Read and Write 'jamovi' Files ('.omv') | Sebastian Jentschke |
| JNplots | 0.1.1 | Visualize Outputs from the 'Johnson-Neyman' Technique | Ken Toyama |
| job | 0.3.0 | Run Code as an RStudio Job - Free Your Console | Jonas Kristoffer Lindeløv |
| jocre | 0.3.3 | Joint Confidence Regions | Philip Pallmann |
| JoF | 0.1.0 | Modelling and Simulating Judgments of Frequency | Markus Burkhardt |
| joineR | 1.2.8 | Joint Modelling of Repeated Measurements and Time-to-Event Data | Graeme L. Hickey |
| joineRML | 0.4.6 | Joint Modelling of Multivariate Longitudinal Data and
Time-to-Event Outcomes | Graeme L. Hickey |
| joinet | 0.0.10 | Multivariate Elastic Net Regression | Armin Rauschenberger |
| joint.Cox | 3.16 | Joint Frailty-Copula Models for Tumour Progression and Death in
Meta-Analysis | Takeshi Emura |
| JointAI | 1.0.6 | Joint Analysis and Imputation of Incomplete Data | Nicole S. Erler |
| jointCalib | 0.1.0 | A Joint Calibration of Totals and Quantiles | Maciej Beręsewicz |
| jointDiag | 0.4 | Joint Approximate Diagonalization of a Set of Square Matrices | Cedric Gouy-Pailler |
| JointFPM | 1.2.0 | A Parametric Model for Estimating the Mean Number of Events | Joshua P. Entrop |
| jointMeanCov | 0.1.0 | Joint Mean and Covariance Estimation for Matrix-Variate Data | Michael Hornstein |
| jointNmix | 1.0 | Joint N-Mixture Models for Site-Associated Species | Rafael de Andrade Moral |
| jointPm | 2.3.2 | Risk Estimation Using the Joint Probability Method | Leo Belzile |
| jointseg | 1.0.2 | Joint Segmentation of Multivariate (Copy Number) Signals | Morgane Pierre-Jean |
| jointVIP | 0.1.2 | Prioritize Variables with Joint Variable Importance Plot in
Observational Study Design | Lauren D. Liao |
| joinXL | 1.0.1 | Perform Joins or Minus Queries on 'Excel' Files | Yvonne Glanville |
| jomo | 2.7-6 | Multilevel Joint Modelling Multiple Imputation | Matteo Quartagno |
| JOPS | 0.1.19 | Practical Smoothing with P-Splines | Paul Eilers |
| jordan | 1.0-5 | A Suite of Routines for Working with Jordan Algebras | Robin K. S. Hankin |
| JoSAE | 0.3.0 | Unit-Level and Area-Level Small Area Estimation | Johannes Breidenbach |
| josaplay | 0.1.3 | Add Josa Based on Previous Letter in Korean | Chanyub Park |
| jose | 1.2.0 | JavaScript Object Signing and Encryption | Jeroen Ooms |
| jot | 0.0.4 | Jot Down Values for Later | Christopher T. Kenny |
| journalabbr | 0.4.3 | Journal Abbreviations for BibTeX Documents | ShuCai Zou |
| JOUSBoost | 2.1.0 | Implements Under/Oversampling for Probability Estimation | Matthew Olson |
| joyn | 0.2.0 | Tool for Diagnosis of Tables Joins and Complementary Join
Features | R.Andres Castaneda |
| jpcity | 0.1.1 | Read and Convert Japanese Municipality Codes | Mizuki Uchida |
| jpeg | 0.1-10 | Read and write JPEG images | Simon Urbanek |
| JPEN | 1.0 | Covariance and Inverse Covariance Matrix Estimation Using Joint
Penalty | Ashwini Maurya |
| jpgrid | 0.3.1 | Functions for the Grid Square Codes in Japan | Mizuki Uchida |
| jpmesh | 2.1.0 | Utilities for Japanese Mesh Code | Shinya Uryu |
| jpstat | 0.4.0 | Tools for Easy Use of 'e-Stat', 'RESAS' API, Etc | Mizuki Uchida |
| jqbr | 1.0.3 | 'jQuery QueryBuilder' Input for 'Shiny' | Harry Fisher |
| JQL | 3.6.9 | Jump Q-Learning for Individualized Interval-Valued Dose Rule | Hengrui Cai |
| jqr | 1.3.3 | Client for 'jq', a 'JSON' Processor | Jeroen Ooms |
| jquerylib | 0.1.4 | Obtain 'jQuery' as an HTML Dependency Object | Carson Sievert |
| jrc | 0.6.0 | Exchange Commands Between R and 'JavaScript' | Svetlana Ovchinnikova |
| jrich | 0.60-35 | Jack-Knife Support for Evolutionary Distinctiveness Indices I
and W | Daniel R. Miranda-Esquivel |
| jrSiCKLSNMF | 1.2.1 | Multimodal Single-Cell Omics Dimensionality Reduction | Dorothy Ellis |
| jrt | 1.1.2 | Item Response Theory Modeling and Scoring for Judgment Data | Nils Myszkowski |
| jrvFinance | 1.4.3 | Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes | Jayanth Varma |
| js | 1.2 | Tools for Working with JavaScript in R | Jeroen Ooms |
| JSconsole | 0.1.0 | A 'RStudio' Addin to Send 'JavaScript' Code to the 'V8' Console | Stéphane Laurent |
| jScore | 0.1.0 | Calculates the j-Score Between Two Clustering Assignments | Navid Ahmadinejad |
| jSDM | 0.2.6 | Joint Species Distribution Models | Jeanne Clément |
| JSDNE | 4.2.2 | Estimating the Age using Auricular Surface by DNE | Jisun Jang |
| jshintr | 0.1.0 | Lint 'JavaScript' Files | Stéphane Laurent |
| jskm | 0.5.3 | Kaplan-Meier Plot with 'ggplot2' | Jinseob Kim |
| JSM | 1.0.1 | Semiparametric Joint Modeling of Survival and Longitudinal Data | Cong Xu |
| JSmediation | 0.2.2 | Mediation Analysis Using Joint Significance | Cédric Batailler |
| jsmodule | 1.5.2 | 'RStudio' Addins and 'Shiny' Modules for Medical Research | Jinseob Kim |
| json2aRgs | 0.3.0 | Parse Parameters Inside a Docker Container | Alexander Dolich |
| json64 | 0.1.3 | A 'Base64' Encode/Decode Package with Support for JSON
Output/Input and UTF-8 | Mauricio Santelices |
| jsonify | 1.2.2 | Convert Between 'R' Objects and Javascript Object Notation
(JSON) | David Cooley |
| jsonld | 2.2 | JSON for Linking Data | Jeroen Ooms |
| jsonlite | 1.8.8 | A Simple and Robust JSON Parser and Generator for R | Jeroen Ooms |
| jsonNormalize | 1.0.0 | Normalization of 'JSON' Strings | Stéphane Laurent |
| jsonstat | 0.0.2 | Interface to 'JSON-stat' | Kim Seonghyun |
| jsonStrings | 2.1.1 | Manipulation of JSON Strings | Stéphane Laurent |
| jsonvalidate | 1.3.2 | Validate 'JSON' Schema | Rich FitzJohn |
| JSparO | 1.5.0 | Joint Sparse Optimization via Proximal Gradient Method for Cell
Fate Conversion | Xinlin Hu |
| jstable | 1.1.9 | Create Tables from Different Types of Regression | Jinseob Kim |
| jstor | 0.3.11 | Read Data from JSTOR/DfR | Thomas Klebel |
| jsTree | 1.2 | Create Interactive Trees with the 'jQuery' 'jsTree' Plugin | Jonathan Sidi |
| jsTreeR | 2.5.0 | A Wrapper of the JavaScript Library 'jsTree' | Stéphane Laurent |
| JSUparameters | 1.0.0 | Estimate Parameters of the Best-Fitting JohnsonSU Distribution | C.J. Clarke |
| jtdm | 0.1-2 | Joint Modelling of Functional Traits | Giovanni Poggiato |
| jti | 0.8.4 | Junction Tree Inference | Mads Lindskou |
| jtools | 2.2.2 | Analysis and Presentation of Social Scientific Data | Jacob A. Long |
| jubilee | 0.3.3 | Forecasting Long-Term Growth of the U.S. Stock Market and
Business Cycles | Stephen H-T. Lihn |
| juicedown | 0.1.1 | 'juice' + 'markdown': Convert 'R Markdown' into 'HTML' with
Inline Styles | Kenji Sato |
| juicr | 0.1 | Automated and Manual Extraction of Numerical Data from
Scientific Images | Marc J. Lajeunesse |
| juicyjuice | 0.1.0 | Inline CSS Properties into HTML Tags Using 'juice' | Richard Iannone |
| Julia | 1.3.5 | Fractal Image Data Generator | Mehmet Suzen |
| JuliaCall | 0.17.5 | Seamless Integration Between R and 'Julia' | Changcheng Li |
| JuliaConnectoR | 1.1.3 | A Functionally Oriented Interface for Integrating 'Julia' with R | Stefan Lenz |
| JUMP | 1.0.1 | Replicability Analysis of High-Throughput Experiments | Yan Li |
| junctions | 2.1.0 | The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages | Thijs Janzen |
| just.install | 1.0.2 | Very Simple Function to Install Packages without Attaching | Carlos Yanez Santibanez |
| justifier | 0.2.6 | Human and Machine-Readable Justifications and Justified
Decisions Based on 'YAML' | Gjalt-Jorn Peters |
| JustifyAlpha | 0.1.1 | Justifying Alpha Levels for Hypothesis Tests | Maximilian Maier |
| jvcoords | 1.0.3 | Principal Component Analysis (PCA) and Whitening | Jochen Voss |
| jvnVaR | 1.0 | Value at Risk | Hung Vu |
| JWileymisc | 1.4.1 | Miscellaneous Utilities and Functions | Joshua F. Wiley |
| k5 | 0.2.1 | Kiernan Nicholls Miscellaneous | Kiernan Nicholls |
| kableExtra | 1.4.0 | Construct Complex Table with 'kable' and Pipe Syntax | Hao Zhu |
| kader | 0.0.8 | Kernel Adaptive Density Estimation and Regression | Gerrit Eichner |
| kaigiroku | 0.5 | Programmatic Access to the API for Japanese Diet Proceedings | Akitaka Matsuo |
| kairos | 2.1.0 | Analysis of Chronological Patterns from Archaeological Count
Data | Nicolas Frerebeau |
| kalmanfilter | 2.1.1 | Kalman Filter | Alex Hubbard |
| kamila | 0.1.2 | Methods for Clustering Mixed-Type Data | Alexander Foss |
| kangar00 | 1.4.1 | Kernel Approaches for Nonlinear Genetic Association Regression | Juliane Manitz |
| kanjistat | 0.9.1 | A Statistical Framework for the Analysis of Japanese Kanji
Characters | Dominic Schuhmacher |
| kantorovich | 3.1.0 | Kantorovich Distance Between Probability Measures | Stéphane Laurent |
| kaos | 0.1.2 | Encoding of Sequences Based on Frequency Matrix Chaos Game
Representation | Hannah Franziska Löchel |
| kaphom | 0.3 | Test the Homogeneity of Kappa Statistics | Muammer Albayrak |
| KappaGUI | 2.0.2 | An R-Shiny Application for Calculating Cohen's and Fleiss' Kappa | Frédéric Santos |
| kappalab | 0.4-12 | Non-Additive Measure and Integral Manipulation Functions | Ivan Kojadinovic |
| kappaSize | 1.2 | Sample Size Estimation Functions for Studies of Interobserver
Agreement | Michael A Rotondi |
| KaradaColor | 0.1.5 | Color Palettes Inspired by Japanese Landscape and Culture | Masaki Fujishima |
| karaoke | 2.0 | Remove Vocals from a Song | John R. Dixon |
| karel | 0.1.1 | Learning programming with Karel the robot | Marcos Prunello |
| Karen | 1.0 | Kalman Reaction Networks | Luca Del Core |
| KarsTS | 2.4.1 | An Interface for Microclimate Time Series Analysis | Marina Saez |
| karyotapR | 1.0.1 | DNA Copy Number Analysis for Genome-Wide Tapestri Panels | Joseph Mays |
| katex | 1.4.1 | Rendering Math to HTML, 'MathML', or R-Documentation Format | Jeroen Ooms |
| kayadata | 1.3.0 | Kaya Identity Data for Nations and Regions | Jonathan Gilligan |
| kazaam | 0.1-0 | Tools for Tall Distributed Matrices | Drew Schmidt |
| KbMvtSkew | 1.0.2 | Khattree-Bahuguna's Univariate and Multivariate Skewness | Zhixin Lun |
| kcmeans | 0.1.0 | Conditional Expectation Function Estimation with
K-Conditional-Means | Thomas Wiemann |
| Kcop | 1.0.0 | Smooth Test for Equality of Copulas and Clustering Multivariate | Yves Ismael Ngounou Bakam |
| kcpRS | 1.1.1 | Kernel Change Point Detection on the Running Statistics | Kristof Meers |
| KCSKNNShiny | 0.1.0 | K-Nearest Neighbour Classifier | Karne Chaithanya Sai |
| KCSNBShiny | 0.1.0 | Naive Bayes Classifier | Karne Chaithanya Sai |
| kde1d | 1.0.7 | Univariate Kernel Density Estimation | Thomas Nagler |
| kdecopula | 0.9.2 | Kernel Smoothing for Bivariate Copula Densities | Thomas Nagler |
| kdensity | 1.1.0 | Kernel Density Estimation with Parametric Starts and Asymmetric
Kernels | Jonas Moss |
| kdevine | 0.4.4 | Multivariate Kernel Density Estimation with Vine Copulas | Thomas Nagler |
| kdist | 0.2 | K-Distribution and Weibull Paper | Tim Lamont-Smith |
| kdpee | 1.0.0 | Fast Multidimensional Entropy Estimation by k-d Partitioning | Olaf Mersmann |
| kdry | 0.0.2 | K's "Don't Repeat Yourself"-Collection | Lorenz A. Kapsner |
| kedd | 1.0.4 | Kernel Estimator and Bandwidth Selection for Density and Its
Derivatives | Iago Giné-Vázquez |
| keep | 1.0 | Arrays with Better Control over Dimension Dropping | Paavo Jumppanen |
| kehra | 0.1 | Collect, Assemble and Model Air Pollution, Weather and Health
Data | Claudia Vitolo |
| kelvin | 2.0-2 | Calculate Solutions to the Kelvin Differential Equation using
Bessel Functions | Andrew J Barbour |
| Kendall | 2.2.1 | Kendall Rank Correlation and Mann-Kendall Trend Test | A.I. McLeod |
| kendallRandomWalks | 0.9.4 | Simulate and Visualize Kendall Random Walks and Related
Distributions | Mateusz Staniak |
| KenSyn | 0.3 | Knowledge Synthesis in Agriculture - From Experimental Network
to Meta-Analysis | Francois Brun (ACTA) |
| KEPTED | 0.1.0 | Kernel-Embedding-of-Probability Test for Elliptical Distribution | Yin Tang |
| kequate | 1.6.4 | The Kernel Method of Test Equating | Björn Andersson |
| keras | 2.13.0 | R Interface to 'Keras' | Tomasz Kalinowski |
| keras3 | 0.1.0 | R Interface to 'Keras' | Tomasz Kalinowski |
| kerastuneR | 0.1.0.6 | Interface to 'Keras Tuner' | Turgut Abdullayev |
| kerDAA | 0.1.1 | New Kernel-Based Test for Differential Association Analysis | Hoseung Song |
| KERE | 1.0.0 | Expectile Regression in Reproducing Kernel Hilbert Space | Yi Yang |
| kergp | 0.5.7 | Gaussian Process Laboratory | Olivier Roustant |
| kerndwd | 2.0.3 | Distance Weighted Discrimination (DWD) and Kernel Methods | Boxiang Wang |
| kernelboot | 0.1.10 | Smoothed Bootstrap and Random Generation from Kernel Densities | Tymoteusz Wolodzko |
| kernelFactory | 0.3.0 | Kernel Factory: An Ensemble of Kernel Machines | Michel Ballings |
| Kernelheaping | 2.3.0 | Kernel Density Estimation for Heaped and Rounded Data | Marcus Gross |
| KernelKnn | 1.1.5 | Kernel k Nearest Neighbors | Lampros Mouselimis |
| kernelshap | 0.4.1 | Kernel SHAP | Michael Mayer |
| kernhaz | 0.1.0 | Kernel Estimation of Hazard Function in Survival Analysis | Iveta Selingerova |
| kernlab | 0.9-32 | Kernel-Based Machine Learning Lab | Alexandros Karatzoglou |
| kernplus | 0.1.2 | A Kernel Regression-Based Multidimensional Wind Turbine Power
Curve | Hoon Hwangbo |
| kernscr | 1.0.6 | Kernel Machine Score Test for Semi-Competing Risks | Boris P Hejblum |
| KernSmooth | 2.23-22 | Functions for Kernel Smoothing Supporting Wand & Jones (1995) | Brian Ripley |
| KernSmoothIRT | 6.4 | Nonparametric Item Response Theory | Brian McGuire |
| kernstadapt | 0.0.2 | Spatio-Temporal Adaptive Kernel Estimators for Intensities | Jonatan A González |
| kerSeg | 1.1 | New Kernel-Based Change-Point Detection | Hoseung Song |
| kerTests | 0.1.4 | Generalized Kernel Two-Sample Tests | Hoseung Song |
| kesernetwork | 0.1.0 | Visualization of the KESER Network | Su-Chun Cheng |
| keyATM | 0.5.1 | Keyword Assisted Topic Models | Shusei Eshima |
| Keyboard | 0.1.3 | Bayesian Designs for Early Phase Clinical Trials | Xiaomeng Yuan |
| KeyboardSimulator | 2.6.2 | Keyboard and Mouse Input Simulation for Windows OS | Jim Chen |
| keyholder | 0.1.7 | Store Data About Rows | Evgeni Chasnovski |
| keyperm | 0.1.1 | Keyword Analysis Using Permutation Tests | Thoralf Mildenberger |
| keyplayer | 1.0.4 | Locating Key Players in Social Networks | Weihua An |
| keypress | 1.3.1 | Wait for a Key Press in a Terminal | Gábor Csárdi |
| keyring | 1.3.2 | Access the System Credential Store from R | Gábor Csárdi |
| keyringr | 0.4.0 | Decrypt Passwords from Gnome Keyring, Windows Data Protection
API and macOS Keychain | Josh Gilfillan |
| keys | 0.1.1 | Keyboard Shortcuts for 'shiny' | Tyler Littlefield |
| keyToEnglish | 0.2.1 | Convert Data to Memorable Phrases | Max Candocia |
| kfa | 0.2.2 | K-Fold Cross Validation for Factor Analysis | Kyle Nickodem |
| KFAS | 1.5.1 | Kalman Filter and Smoother for Exponential Family State Space
Models | Jouni Helske |
| kfda | 1.0.0 | Kernel Fisher Discriminant Analysis | Donghwan Kim |
| kfigr | 1.2.1 | Integrated Code Chunk Anchoring and Referencing for R Markdown
Documents | Michael C Koohafkan |
| kfino | 1.0.0 | Kalman Filter for Impulse Noised Outliers | Isabelle Sanchez |
| KFPCA | 2.0 | Kendall Functional Principal Component Analysis | Rou Zhong |
| KFPLS | 1.0 | Kernel Functional Partial Least Squares | Rou Zhong |
| kgc | 1.0.0.2 | Koeppen-Geiger Climatic Zones | Chelsey Bryant |
| kgen | 0.3.1 | A Tool for Calculating Stoichiometric Equilibrium Constants (Ks)
for Seawater | Dennis Mayk |
| KGode | 1.0.4 | Kernel Based Gradient Matching for Parameter Inference in
Ordinary Differential Equations | Mu Niu |
| kgp | 1.1.1 | 1000 Genomes Project Metadata | Stephen Turner |
| kgrams | 0.2.0 | Classical k-gram Language Models | Valerio Gherardi |
| kgschart | 1.3.5 | KGS Rank Graph Parser | Kota Mori |
| khisr | 1.0.1 | Retrieve Data from Kenya Health Information System (KHIS) | David Kariuki |
| KHQ | 0.2.0 | Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index
Scores | Luiz Augusto Brusaca |
| khroma | 1.12.0 | Colour Schemes for Scientific Data Visualization | Nicolas Frerebeau |
| kibior | 0.1.1 | A Simple Data Management and Sharing Tool | Régis Ongaro-Carcy |
| kidney.epi | 1.2.0 | Kidney Functions: Clinical and Epidemiological | Boris Bikbov |
| kidsides | 0.5.0 | Download, Cache, and Connect to KidSIDES | Nicholas Giangreco |
| kim | 0.5.422 | A Toolkit for Behavioral Scientists | Jin Kim |
| kimfilter | 1.0.3 | Kim Filter | Alex Hubbard |
| kimisc | 0.4 | Kirill's Miscellaneous Functions | Kirill Müller |
| kin.cohort | 0.7 | Analysis of Kin-Cohort Studies | Victor Moreno |
| kindisperse | 0.10.2 | Simulate and Estimate Close-Kin Dispersal Kernels | Moshe-Elijah Jasper |
| kinematics | 1.0.0 | Studying Sampled Trajectories | Pablo Rodriguez-Sanchez |
| KingCountyHouses | 0.1.0 | Data on House Sales in King County WA | Max Kuhn |
| KinMixLite | 2.1.0 | Inference About Relationships from DNA Mixtures | Peter Green |
| kinship2 | 1.9.6.1 | Pedigree Functions | Jason Sinnwell |
| KINSIMU | 0.1.2 | Panel Evaluation in Forensic Kinship Analysis | Guanju Ma |
| Kira | 1.0.1 | Machine Learning | Paulo Cesar Ossani |
| kirby21.base | 1.7.3 | Example Data from the Multi-Modal MRI 'Reproducibility' Resource | John Muschelli |
| kirby21.fmri | 1.7.0 | Example Functional Imaging Data from the Multi-Modal MRI
'Reproducibility' Resource | John Muschelli |
| kirby21.t1 | 1.7.0 | Example T1 Structural Data from the Multi-Modal MRI
'Reproducibility' Resource | John Muschelli |
| kisopenapi | 0.0.2 | Korea Investment & Securities (KIS) Open Trading API | Seokhoon Joo |
| kissmig | 1.0-4 | a Keep It Simple Species Migration Model | Michael P. Nobis |
| kit | 0.0.16 | Data Manipulation Functions Implemented in C | Morgan Jacob |
| kitagawa | 3.1.2 | Spectral Response of Water Wells to Harmonic Strain and Pressure
Signals | Andrew J. Barbour |
| kiwisR | 0.2.0 | A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS'
API | Ryan Whaley |
| kknn | 1.3.1 | Weighted k-Nearest Neighbors | Klaus Schliep |
| kko | 1.0.1 | Kernel Knockoffs Selection for Nonparametric Additive Models | Xiang Lyu |
| klaR | 1.7-3 | Classification and Visualization | Uwe Ligges |
| klassR | 0.2.3 | Classifications and Codelists for Statistics Norway | Susie Jentoft |
| klausuR | 0.12-14 | Multiple Choice Test Evaluation | m.eik michalke |
| kldest | 1.0.0 | Sample-Based Estimation of Kullback-Leibler Divergence | Niklas Hartung |
| kldtools | 1.2 | Kullback-Leibler Divergence and Other Tools to Analyze
Frequencies | Alexey Shipunov |
| klexdatr | 0.1.2 | Kootenay Lake Exploitation Study Data | Joe Thorley |
| KLexp | 1.0.0 | Kernel_lasso Expansion | Zongrui Dai |
| klic | 1.0.4 | Kernel Learning Integrative Clustering | Alessandra Cabassi |
| KLINK | 0.7.3 | Kinship Analysis with Linked Markers | Magnus Dehli Vigeland |
| klovan | 0.1.0 | Geostatistics Methods and Klovan Data | Roger H French |
| klsh | 0.1.0 | Blocking for Record Linkage | Rebecca Steorts |
| klustR | 0.1.0 | D3 Dynamic Cluster Visualizations | McKay Davis |
| km.ci | 0.5-6 | Confidence Intervals for the Kaplan-Meier Estimator | Tobias Verbeke |
| kmBlock | 0.1.2 | k-Means Like Blockmodeling of One-Mode and Linked Networks | Aleš Žiberna |
| kmc | 0.4-2 | Kaplan-Meier Estimator with Constraints for Right Censored Data
-- a Recursive Computational Algorithm | Yifan Yang |
| KMD | 0.1.0 | Kernel Measure of Multi-Sample Dissimilarity | Zhen Huang |
| kmed | 0.4.2 | Distance-Based k-Medoids | Weksi Budiaji |
| Kmedians | 2.2.0 | K-Medians | Antoine Godichon-Baggioni |
| kmer | 1.1.2 | Fast K-Mer Counting and Clustering for Biological Sequence
Analysis | Shaun Wilkinson |
| kmi | 0.5.5 | Kaplan-Meier Multiple Imputation for the Analysis of Cumulative
Incidence Functions in the Competing Risks Setting | Arthur Allignol |
| kml | 2.4.6.1 | K-Means for Longitudinal Data | Christophe Genolini |
| kml3d | 2.4.6.1 | K-Means for Joint Longitudinal Data | Christophe Genolini |
| kmodR | 0.2.0 | K-Means with Simultaneous Outlier Detection | David Charles Howe |
| KMsurv | 0.1-5 | Data sets from Klein and Moeschberger (1997), Survival Analysis | Jun Yan |
| KMunicate | 0.2.4 | KMunicate-Style Kaplan–Meier Plots | Alessandro Gasparini |
| KnapsackSampling | 0.1.1 | Generate Feasible Samples of a Knapsack Problem | Chin Soon Lim |
| KneeArrower | 1.0.0 | Finds Cutoff Points on Knee Curves | Alan Tseng |
| knitcitations | 1.0.12 | Citations for 'Knitr' Markdown Files | Carl Boettiger |
| knitLatex | 0.9.0 | 'Knitr' Helpers - Mostly Tables | John Shea |
| knitr | 1.46 | A General-Purpose Package for Dynamic Report Generation in R | Yihui Xie |
| knitrBootstrap | 1.0.3 | 'knitr' Bootstrap Framework | Jim Hester |
| knitrdata | 0.6.1 | Data Language Engine for 'knitr' / 'rmarkdown' | David M. Kaplan |
| knitrProgressBar | 1.1.0 | Provides Progress Bars in 'knitr' | Robert M Flight |
| knitxl | 0.1.0 | Generates a Spreadsheet Report from an 'rmarkdown' File | Denis Dreano |
| knn.covertree | 1.0 | An Accurate kNN Implementation with Multiple Distance Measures | Philipp Angerer |
| knnmi | 1.0 | k-Nearest Neighbor Mutual Information Estimator | Brian Gregor |
| knnp | 2.0.0 | Time Series Prediction using K-Nearest Neighbors Algorithm
(Parallel) | Daniel Bastarrica Lacalle |
| KNNShiny | 0.1.0 | Interactive Document for Working with KNN Analysis | Kartikeya Bolar |
| kNNvs | 0.1.0 | k Nearest Neighbors with Grid Search Variable Selection | Eddie Pei |
| knnwtsim | 1.0.0 | K Nearest Neighbor Forecasting with a Tailored Similarity Metric | Matthew Trupiano |
| knockoff | 0.3.6 | The Knockoff Filter for Controlled Variable Selection | Matteo Sesia |
| KnockoffHybrid | 1.0.0 | Hybrid Analysis of Population and Trio Data with Knockoff
Statistics for FDR Control | Yi Yang |
| KnockoffScreen | 0.3.0 | Whole-Genome Sequencing Data Analysis via Knockoff Statistics | Zihuai He |
| KnockoffTrio | 1.0.2 | Trio Data Analysis with Knockoff Statistics for FDR Control | Yi Yang |
| knotR | 1.0-4 | Knot Diagrams using Bezier Curves | Robin K. S. Hankin |
| KnowBR | 2.2 | Discriminating Well Surveyed Spatial Units from Exhaustive
Biodiversity Databases | Castor Guisande Gonzalez |
| kntnr | 0.4.4 | R Client for 'kintone' API | Hiroaki Yutani |
| KoboconnectR | 1.2.2 | Download Data from Kobotoolbox to R | Asitav Sen |
| KODAMA | 2.4 | Knowledge Discovery by Accuracy Maximization | Stefano Cacciatore |
| kofdata | 0.2.1 | Get Data from the 'KOF Datenservice' API | Matthias Bannert |
| kofnGA | 1.3 | A Genetic Algorithm for Fixed-Size Subset Selection | Mark A. Wolters |
| KOGMWU | 1.2 | Functional Summary and Meta-Analysis of Gene Expression Data | Mikhail V. Matz |
| kohonen | 3.0.12 | Supervised and Unsupervised Self-Organising Maps | Ron Wehrens |
| kokudosuuchi | 1.0.0 | Utilities for 'Kokudo Suuchi' | Hiroaki Yutani |
| komaletter | 0.5.0 | Simply Beautiful PDF Letters from Markdown | Robert Nuske |
| konfound | 0.5.0 | Quantify the Robustness of Causal Inferences | Joshua M Rosenberg |
| KONPsurv | 1.0.4 | KONP Tests: Powerful K-Sample Tests for Right-Censored Data | Matan Schlesinger |
| KOR.addrlink | 1.0.1 | Matching Address Data to Reference Index | Daniel Schürmann |
| koRpus | 0.13-8 | Text Analysis with Emphasis on POS Tagging, Readability, and
Lexical Diversity | Meik Michalke |
| koRpus.lang.en | 0.1-4 | Language Support for 'koRpus' Package: English | Meik Michalke |
| kosel | 0.0.1 | Variable Selection by Revisited Knockoffs Procedures | Clemence Karmann |
| kosis | 0.0.1 | Korean Statistical Information Service (KOSIS) | Seokhoon Joo |
| KoulMde | 3.2.1 | Koul's Minimum Distance Estimation in Regression and Image
Segmentation Problems | Jiwoong Kim |
| Kpart | 1.2.2 | Cubic Spline Fitting with Knot Selection | Eric Golinko |
| KPC | 0.1.2 | Kernel Partial Correlation Coefficient | Zhen Huang |
| kpcalg | 1.0.1 | Kernel PC Algorithm for Causal Structure Detection | Petras Verbyla |
| kpeaks | 1.1.0 | Determination of K Using Peak Counts of Features for Clustering | Zeynel Cebeci |
| kpmt | 0.1.0 | Known Population Median Test | Matthew M Parks |
| kpodclustr | 1.1 | Method for Clustering Partially Observed Data | Jocelyn T. Chi |
| KraljicMatrix | 0.2.1 | A Quantified Implementation of the Kraljic Matrix | Bradley Boehmke |
| kriens | 0.1 | Continuation Passing Style Development | Matteo Provenzano |
| krige | 0.6.2 | Geospatial Kriging with Metropolis Sampling | Jason S. Byers |
| kriging | 1.2 | Ordinary Kriging | Omar E. Olmedo |
| KrigInv | 1.4.2 | Kriging-Based Inversion for Deterministic and Noisy Computer
Experiments | Dario Azzimonti |
| krippendorffsalpha | 2.0 | Measuring Agreement Using Krippendorff's Alpha Coefficient | John Hughes |
| KRIS | 1.1.6 | Keen and Reliable Interface Subroutines for Bioinformatic
Analysis | Kridsadakorn Chaichoompu |
| KRLS | 1.0-0 | Kernel-Based Regularized Least Squares | Jens Hainmueller |
| krm | 2022.10-17 | Kernel Based Regression Models | Youyi Fong |
| KRMM | 1.0 | Kernel Ridge Mixed Model | Laval Jacquin |
| kronos | 1.0.0 | Microbiome Oriented Circadian Rhythm Analysis Toolkit | Thomaz Bastiaanssen |
| ks | 1.14.2 | Kernel Smoothing | Tarn Duong |
| KSA | 0.1.0 | Retained Component Criterion for Principal Component Analysis | Dr. Fayed Alshammri |
| kSamples | 1.2-10 | K-Sample Rank Tests and their Combinations | Fritz Scholz |
| KScorrect | 1.4.0 | Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests | Phil Novack-Gottshall |
| KSD | 1.0.1 | Goodness-of-Fit Tests using Kernelized Stein Discrepancy | Min Hyung Kang |
| KSEAapp | 0.99.0 | Kinase-Substrate Enrichment Analysis | Danica D. Wiredja |
| kselection | 0.2.1 | Selection of K in K-Means Clustering | Daniel Rodriguez |
| KSgeneral | 1.1.3 | Computing P-Values of the K-S Test for (Dis)Continuous Null
Distribution | Dimitrina S. Dimitrova |
| ksharp | 0.1.0.1 | Cluster Sharpening | Tomasz Konopka |
| ksNN | 0.1.2 | K* Nearest Neighbors Algorithm | Kei Nakagawa |
| KSPM | 0.2.1 | Kernel Semi-Parametric Models | Catherine Schramm |
| ksrlive | 1.0 | Identify Kinase Substrate Relationships Using Dynamic Data | Westa Domanova |
| kssa | 0.0.1 | Known Sub-Sequence Algorithm | Iván Felipe Benavides |
| kst | 0.5-4 | Knowledge Space Theory | Cord Hockemeyer |
| kStatistics | 2.1.1 | Unbiased Estimators for Cumulant Products and Faa Di Bruno's
Formula | Giuseppe Guarino |
| kstIO | 0.4-0 | Knowledge Space Theory Input/Output | Cord Hockemeyer |
| kstMatrix | 0.2-0 | Basic Functions in Knowledge Space Theory Using Matrix
Representation | Cord Hockemeyer |
| ktaucenters | 1.0.0 | Robust Clustering Procedures | Juan Domingo Gonzalez |
| KTensorGraphs | 1.1 | Co-Tucker3 Analysis of Two Sequences of Matrices | Miguel Rodriguez-Rosa |
| ktsolve | 1.3.1 | Configurable Function for Solving Families of Nonlinear
Equations | Carl Witthoft |
| ktweedie | 1.0.3 | 'Tweedie' Compound Poisson Model in the Reproducing Kernel
Hilbert Space | Yi Lian |
| kuiper.2samp | 1.0 | Two-Sample Kuiper Test | Ying Ruan |
| Kurt | 1.1 | Performs Kurtosis-Based Statistical Analyses | Cinzia Franceschini |
| kutils | 1.73 | Project Management Tools | Paul Johnson |
| kvh | 1.4.2 | Read/Write Files in Key-Value-Hierarchy Format | Serguei Sokol |
| kyotil | 2024.1-30 | Utility Functions for Statistical Analysis Report Generation and
Monte Carlo Studies | Youyi Fong |
| kza | 4.1.0.1 | Kolmogorov-Zurbenko Adaptive Filters | Brian Close |
| kzs | 1.4 | Kolmogorov-Zurbenko Spatial Smoothing and Applications | Derek Cyr |
| l0ara | 0.1.6 | Sparse Generalized Linear Model with L0 Approximation for
Feature Selection | Wenchuan Guo |
| L0Learn | 2.1.0 | Fast Algorithms for Best Subset Selection | Hussein Hazimeh |
| l1ball | 0.1.0 | L1-Ball Prior for Sparse Regression | Maoran Xu |
| L1centrality | 0.0.3 | Graph/Network Analysis Based on L1 Centrality | Seungwoo Kang |
| l1kdeconv | 1.2.0 | Deconvolution for LINCS L1000 Data | Zhao Li |
| L1pack | 0.41-24 | Routines for L1 Estimation | Felipe Osorio |
| l1spectral | 0.99.6 | An L1-Version of the Spectral Clustering | Magali Champion |
| l2boost | 1.0.3 | Exploring Friedman's Boosting Algorithm for Regularized Linear
Regression | John Ehrlinger |
| L2DensityGoFtest | 0.6.0 | Density Goodness-of-Fit Test | Dimitrios Bagkavos |
| L2E | 2.0 | Robust Structured Regression via the L2 Criterion | Jocelyn Chi |
| L2hdchange | 1.0 | L2 Inference for Change Points in High-Dimensional Time Series | Rui Lin |
| LA | 2.2 | Lioness Algorithm (LA) | Hongzhi Wang |
| LabApplStat | 1.4.4 | Miscellaneous Scripts from the Data Science Laboratory (UCPH) | Bo Markussen |
| labdsv | 2.1-0 | Ordination and Multivariate Analysis for Ecology | David W. Roberts |
| label.switching | 1.8 | Relabelling MCMC Outputs of Mixture Models | Panagiotis Papastamoulis |
| labeleR | 0.1.2 | Automate the Production of Custom Labels, Badges, Certificates,
and Other Documents | Ignacio Ramos-Gutierrez |
| labeling | 0.4.3 | Axis Labeling | Nuno Sempere |
| labelled | 2.12.0 | Manipulating Labelled Data | Joseph Larmarange |
| labelmachine | 1.0.0 | Make Labeling of R Data Sets Easy | Adrian Maldet |
| labelr | 0.1.4 | Label Data Frames, Variables, and Values | Robert Hartman |
| labelVector | 0.1.2 | Label Attributes for Atomic Vectors | Benjamin Nutter |
| lablaster | 1.0.1 | Laser Ablation Blast Through Endpoint Detection | Alex Searle-Barnes |
| labNorm | 1.0.1 | Normalize Laboratory Measurements by Age and Sex | Aviezer Lifshitz |
| LabourMarketAreas | 3.4 | Identification, Tuning, Visualisation and Analysis of Labour
Market Areas | Luisa Franconi |
| labourR | 1.0.0 | Classify Multilingual Labour Market Free-Text to Standardized
Hierarchical Occupations | Alexandros Kouretsis |
| LabRS | 0.1.0 | Laboratorio di "Ricerca Sociale con R" | Agnese Vardanega |
| labsimplex | 0.1.2 | Simplex Optimization Algorithms for Laboratory and Manufacturing
Processes | Cristhian Paredes |
| labstatR | 1.0.13 | Libreria Del Laboratorio Di Statistica Con R | Stefano M. Iacus |
| labstats | 1.0.1 | Data Sets for the Book "Experimental Design for Laboratory
Biologists" | Stanley E. Lazic |
| lacm | 0.1.1 | Latent Autoregressive Count Models | Cristiano Varin |
| lacrmr | 1.0.5 | Connect to the 'Less Annoying CRM' API | Frans van Dunné |
| lactater | 0.2.0 | Tools for Analyzing Lactate Thresholds | Felipe Mattioni Maturana |
| lactcurves | 1.1.0 | Lactation Curve Parameter Estimation | Eva M. Strucken |
| lacunaritycovariance | 1.1-7 | Gliding Box Lacunarity and Other Metrics for 2D Random Closed
Sets | Kassel Liam Hingee |
| LAD | 0.1.0 | Derive Leaf Angle Distribution (LAD) from Measured Leaf
Inclination Angles | Francesco Chianucci |
| LadderFuelsR | 0.0.4 | Automated Tool for Vertical Fuel Continuity Analysis using
Airborne Laser Scanning Data | Olga Viedma |
| laeken | 0.5.3 | Estimation of Indicators on Social Exclusion and Poverty | Andreas Alfons |
| LaF | 0.8.4 | Fast Access to Large ASCII Files | Jan van der Laan |
| lagged | 0.3.2 | Classes and Methods for Lagged Objects | Georgi N. Boshnakov |
| LAGOSNE | 2.0.3 | Interface to the Lake Multi-Scaled Geospatial and Temporal
Database | Jemma Stachelek |
| laGP | 1.5-9 | Local Approximate Gaussian Process Regression | Robert B. Gramacy |
| lagsarlmtree | 1.0-1 | Spatial Lag Model Trees | Achim Zeileis |
| LagSequential | 0.1.1 | Lag-Sequential Categorical Data Analysis | Brian P. O'Connor |
| Lahman | 11.0-0 | Sean 'Lahman' Baseball Database | Chris Dalzell |
| LAIr | 0.3.0 | Converting NDVI to LAI of Field, Proximal and Satellite Data | Francesco Chianucci |
| LakeMetabolizer | 1.5.5 | Tools for the Analysis of Ecosystem Metabolism | Jake Zwart |
| lakemorpho | 1.3.2 | Lake Morphometry Metrics | Jeffrey W. Hollister |
| laketemps | 0.5.1 | Lake Temperatures Collected by Situ and Satellite Methods from
1985-2009 | Jordan S Read |
| LAM | 0.6-19 | Some Latent Variable Models | Alexander Robitzsch |
| lambda.r | 1.2.4 | Modeling Data with Functional Programming | Brian Lee Yung Rowe |
| lambdaTS | 1.1 | Variational Seq2Seq Model with Lambda Transformer for Time
Series Analysis | Giancarlo Vercellino |
| lambdr | 1.2.5 | Create a Runtime for Serving Containerised R Functions on 'AWS
Lambda' | David Neuzerling |
| LambertW | 0.6.9-1 | Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
Skewed Data | Georg M. Goerg |
| lamle | 0.3.1 | Maximum Likelihood Estimation of Latent Variable Models | Björn Andersson |
| lamme | 0.0.1 | Log-Analytic Methods for Multiplicative Effects | Qimin Liu |
| lamW | 2.2.3 | Lambert-W Function | Avraham Adler |
| LandComp | 0.0.5 | Analysing Landscape Composition and Structure at Multiple Scales | Krisztina Dóra Konrád |
| landest | 1.2 | Landmark Estimation of Survival and Treatment Effect | Layla Parast |
| landform | 0.2 | Topographic Position Index-Based Landform Classification | Gianmarco Alberti |
| Landmarking | 1.0.0 | Analysis using Landmark Models | Isobel Barrott |
| landmix | 1.0 | Landmark Prediction for Mixture Data | Layla Parast |
| landmulti | 0.5.0 | Landmark Prediction with Multiple Short-Term Events | Wen Li |
| landpred | 1.2 | Landmark Prediction of a Survival Outcome | Layla Parast |
| landsat | 1.1.2 | Radiometric and Topographic Correction of Satellite Imagery | Sarah Goslee |
| landscapemetrics | 2.1.1 | Landscape Metrics for Categorical Map Patterns | Maximilian H.K. Hesselbarth |
| landscapeR | 1.2 | Categorical Landscape Simulation Facility | Dario Masante |
| landscapetools | 0.5.0 | Landscape Utility Toolbox | Marco Sciaini |
| landsepi | 1.4.0 | Landscape Epidemiology and Evolution | Jean-François Rey |
| Langevin | 1.3.1 | Langevin Analysis in One and Two Dimensions | Philip Rinn |
| langevitour | 0.7 | Langevin Tour | Paul Harrison |
| languagelayeR | 1.2.4 | Access the 'languagelayer' API | Colin FAY |
| languageR | 1.5.0 | Analyzing Linguistic Data: A Practical Introduction to
Statistics | R. H. Baayen |
| languageserver | 0.3.16 | Language Server Protocol | Randy Lai |
| languageserversetup | 0.1.2 | Automated Setup and Auto Run for R Language Server | Jozef Hajnala |
| lans2r | 1.2.0 | Work with Look at NanoSIMS Data in R | Sebastian Kopf |
| LaplacesDemon | 16.1.6 | Complete Environment for Bayesian Inference | Henrik Singmann |
| lar | 0.1-2 | History of labour relations package | Richard Zijdeman |
| lares | 5.2.5 | Analytics & Machine Learning Sidekick | Bernardo Lares |
| lareshiny | 0.0.3 | Lares 'shiny' Modules | Bernardo Lares |
| LARF | 1.4 | Local Average Response Functions for Instrumental Variable
Estimation of Treatment Effects | Weihua An |
| LARisk | 1.0.0 | Estimation of Lifetime Attributable Risk of Cancer from
Radiation Exposure | Juhee Lee |
| lars | 1.3 | Least Angle Regression, Lasso and Forward Stagewise | Trevor Hastie |
| LassoBacktracking | 1.1 | Modelling Interactions in High-Dimensional Data with
Backtracking | Rajen Shah |
| LassoGEE | 1.0 | High-Dimensional Lasso Generalized Estimating Equations | Yaguang Li |
| LassoNet | 0.8.3 | 3CoSE Algorithm | Jonas Striaukas |
| lassopv | 0.2.0 | Nonparametric P-Value Estimation for Predictors in Lasso | Lingfei Wang |
| lassoshooting | 0.1.5-1.1 | L1 Regularized Regression (Lasso) Solver using the Cyclic
Coordinate Descent Algorithm aka Lasso Shooting | Tobias Abenius |
| LassoSIR | 0.1.1 | Sparsed Sliced Inverse Regression via Lasso | Zhigen Zhao |
| latcontrol | 0.1.0 | Evaluation of the Role of Control Variables in Structural
Equation Models | Christian Blötner |
| latdiag | 0.3 | Draws Diagrams Useful for Checking Latent Scales | Michael Dewey |
| latenetwork | 1.0.1 | Inference on LATEs under Network Interference of Unknown Form | Takahide Yanagi |
| latentcor | 2.0.1 | Fast Computation of Latent Correlations for Mixed Data | Mingze Huang |
| latentgraph | 1.1 | Graphical Models with Latent Variables | Yanxin Jin |
| latentnet | 2.11.0 | Latent Position and Cluster Models for Statistical Networks | Pavel N. Krivitsky |
| later | 1.3.2 | Utilities for Scheduling Functions to Execute Later with Event
Loops | Winston Chang |
| Laterality | 0.9.4 | Functions to Calculate Common Laterality Statistics in
Primatology | Antony Borel |
| latex2exp | 0.9.6 | Use LaTeX Expressions in Plots | Stefano Meschiari |
| latexdiffr | 0.2.0 | Diff TeX, 'rmarkdown' or 'quarto' Files Using the 'latexdiff'
Utility | David Hugh-Jones |
| latexpdf | 0.1.8 | Convert Tables to PDF or PNG | Tim Bergsma |
| latrend | 1.6.0 | A Framework for Clustering Longitudinal Data | Niek Den Teuling |
| latte | 0.2.1 | Interface to 'LattE' and '4ti2' | David Kahle |
| lattice | 0.22-6 | Trellis Graphics for R | Deepayan Sarkar |
| LatticeDesign | 2.0-5 | Lattice-Based Space-Filling Designs | Xu He |
| latticeExtra | 0.6-30 | Extra Graphical Utilities Based on Lattice | Deepayan Sarkar |
| LatticeKrig | 8.4 | Multi-Resolution Kriging Based on Markov Random Fields | Douglas Nychka |
| lava | 1.8.0 | Latent Variable Models | Klaus K. Holst |
| lavaan | 0.6-17 | Latent Variable Analysis | Yves Rosseel |
| lavaan.shiny | 1.2 | Latent Variable Analysis with Shiny | W. Kyle Hamilton |
| lavaanExtra | 0.2.0 | Convenience Functions for Package 'lavaan' | Rémi Thériault |
| lavaanPlot | 0.8.1 | Path Diagrams for 'Lavaan' Models via 'DiagrammeR' | Alex Lishinski |
| lavacreg | 0.2-1 | Latent Variable Count Regression Models | Christoph Kiefer |
| LavaCvxr | 1.0.2 | Lava Estimation for the Sum of Sparse and Dense Signals(3
Methods) | Yang Liu |
| lavaSearch2 | 2.0.3 | Tools for Model Specification in the Latent Variable Framework | Brice Ozenne |
| Lavash | 1.0 | Lava Estimation for the Sum of Sparse and Dense Signals | Jaeheon Jung |
| LAWBL | 1.5.0 | Latent (Variable) Analysis with Bayesian Learning | Jinsong Chen |
| lawstat | 3.6 | Tools for Biostatistics, Public Policy, and Law | Yulia R. Gel |
| lax | 1.2.3 | Loglikelihood Adjustment for Extreme Value Models | Paul J. Northrop |
| lay | 0.1.3 | Simple but Efficient Rowwise Jobs | Alexandre Courtiol |
| lazy | 1.2-18 | Lazy Learning for Local Regression | Theo Verhelst |
| lazyarray | 1.1.0 | Persistent Large Data Array with Lazy-Loading on Demand | Zhengjia Wang |
| lazybar | 0.1.0 | Progress Bar with Remaining Time Forecast Method | Yangzhuoran Yang |
| lazyData | 1.1.0 | A LazyData Facility | Bill Venables |
| lazyeval | 0.2.2 | Lazy (Non-Standard) Evaluation | Hadley Wickham |
| lazysf | 0.1.0 | Delayed Read for 'GDAL' Vector Data Sources | Michael Sumner |
| lazysql | 0.1.3 | Lazy SQL Programming | Uwe Block |
| lazytrade | 0.5.3 | Learn Computer and Data Science using Algorithmic Trading | Vladimir Zhbanko |
| lazyWeave | 3.0.2 | LaTeX Wrappers for R Users | Benjamin Nutter |
| lba | 2.4.52 | Latent Budget Analysis for Compositional Data | Ivan Bezerra Allaman |
| lbfgs | 1.2.1.2 | Limited-memory BFGS Optimization | Antonio Coppola |
| lbfgsb3c | 2024-3.4 | Limited Memory BFGS Minimizer with Bounds on Parameters with
optim() 'C' Interface | Matthew L Fidler |
| LBI | 0.1.0 | Likelihood Based Inference | Kyun-Seop Bae |
| lbm | 0.9.0.2 | Log Binomial Regression Model in Exact Method | Chao Zhu |
| lboxcox | 1.2 | Implementation of Logistic Box-Cox Regression | Li Xing |
| LBPG | 0.1.2 | The Length-Biased Power Garima Distribution | Kittipong Klinjan |
| lbreg | 1.3 | Log-Binomial Regression with Constrained Optimization | Bernardo Andrade |
| LBSPR | 0.1.6 | Length-Based Spawning Potential Ratio | Adrian Hordyk |
| LCA | 0.1.1 | Localised Co-Dependency Analysis | Ed Curry |
| LCAextend | 1.3 | Latent Class Analysis (LCA) with Familial Dependence in Extended
Pedigrees | Alexandre BUREAU |
| lcars | 0.3.8 | LCARS Aesthetic for Shiny | Matthew Leonawicz |
| LCAvarsel | 1.1 | Variable Selection for Latent Class Analysis | Michael Fop |
| lcc | 1.1.4 | Longitudinal Concordance Correlation | Thiago de Paula Oliveira |
| LCCR | 1.3 | Latent Class Capture-Recapture Models | Francesco Bartolucci |
| lcda | 0.3.2 | Latent Class Discriminant Analysis | Michael Buecker |
| LCF | 1.7.0 | Linear Combination Fitting | Florian Werner |
| LCFdata | 2.0 | Data sets for package ``LMERConvenienceFunctions'' | Antoine Tremblay |
| lchemix | 0.1.0 | A Bayesian Multi-Dimensional Couple-Based Latent Risk Model | Weimin Zhang |
| LCMCR | 0.4.14 | Bayesian Non-Parametric Latent-Class Capture-Recapture | Daniel Manrique-Vallier |
| lcmm | 2.1.0 | Extended Mixed Models Using Latent Classes and Latent Processes | Cecile Proust-Lima |
| LCMSQA | 1.0.2 | Liquid Chromatography/Mass Spectrometry (LC/MS) Quality
Assessment | Jaehyun Joo |
| lconnect | 0.1.2 | Simple Tools to Compute Landscape Connectivity Metrics | Frederico Mestre |
| lcopula | 1.0.7 | Liouville Copulas | Leo Belzile |
| lcpm | 0.1.1 | Ordinal Outcomes: Generalized Linear Models with the Log Link | Gurbakhshash Singh |
| lcra | 1.1.5 | Bayesian Joint Latent Class and Regression Models | Michael Kleinsasser |
| lcsm | 0.3.2 | Univariate and Bivariate Latent Change Score Modelling | Milan Wiedemann |
| lctools | 0.2-10 | Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools | Stamatis Kalogirou |
| lcyanalysis | 1.0.4 | Stock Data Analysis Functions | Chun-Yu Liu |
| lda | 1.4.2 | Collapsed Gibbs Sampling Methods for Topic Models | Jonathan Chang |
| LDAandLDAS | 1.1.3 | Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS) | Yaoling Yang |
| LDABiplots | 0.1.2 | Biplot Graphical Interface for LDA Models | Luis Pilacuan-Bonete |
| LDAcoop | 0.1.1 | Analysis of Data from Limiting Dilution Assay (LDA) with or
without Cellular Cooperation | Daniel Samaga |
| ldamatch | 1.0.2 | Selection of Statistically Similar Research Groups | Kyle Gorman |
| ldaPrototype | 0.3.1 | Prototype of Multiple Latent Dirichlet Allocation Runs | Jonas Rieger |
| LDAShiny | 0.9.3 | User-Friendly Interface for Review of Scientific Literature | Javier De La Hoz Maestre |
| LDATree | 0.1.2 | Classification Trees with Linear Discriminant Analysis at
Terminal Nodes | Siyu Wang |
| LDATS | 0.3.0 | Latent Dirichlet Allocation Coupled with Time Series Analyses | Juniper L. Simonis |
| ldatuning | 1.0.2 | Tuning of the Latent Dirichlet Allocation Models Parameters | Nathan Chaney |
| LDAvis | 0.3.2 | Interactive Visualization of Topic Models | Carson Sievert |
| ldbod | 0.1.2 | Local Density-Based Outlier Detection | Kristopher Williams |
| ldbounds | 2.0.2 | Lan-DeMets Method for Group Sequential Boundaries | Charlie Casper |
| LDcorSV | 1.3.3 | Linkage Disequilibrium Corrected by the Structure and the
Relatedness | Aurélie Siberchicot |
| lddmm | 0.4.2 | Longitudinal Drift-Diffusion Mixed Models (LDDMM) | Giorgio Paulon |
| ldhmm | 0.6.1 | Hidden Markov Model for Financial Time-Series Based on Lambda
Distribution | Stephen H-T. Lihn |
| LDLcalc | 2.1 | Calculate and Predict the Low Density Lipoprotein Values | Petros Paplomatas |
| LDlinkR | 1.3.0 | Calculating Linkage Disequilibrium (LD) in Human Population
Groups of Interest | Timothy A. Myers |
| LDM | 6.0.1 | Testing Hypotheses About the Microbiome using the Linear
Decomposition Model | Yi-Juan Hu |
| LDNN | 1.10 | Longitudinal Data Neural Network | Vasileios Karapoulios |
| LDRTools | 0.2-2 | Tools for Linear Dimension Reduction | Klaus Nordhausen |
| ldsep | 2.1.5 | Linkage Disequilibrium Shrinkage Estimation for Polyploids | David Gerard |
| ldsr | 0.0.2 | Linear Dynamical System Reconstruction | Hung Nguyen |
| ldt | 0.5.2 | Automated Uncertainty Analysis | Ramin Mojab |
| leabRa | 0.1.0 | The Artificial Neural Networks Algorithm Leabra | Johannes Titz |
| leaderCluster | 1.5 | Leader Clustering Algorithm | Taylor B. Arnold |
| LeafArea | 0.1.8 | Rapid Digital Image Analysis of Leaf Area | Masatoshi Katabuchi |
| leafdown | 1.2.0 | Provides Drill Down Functionality for 'leaflet' Choropleths | Andreas Hofheinz |
| leafem | 0.2.3 | 'leaflet' Extensions for 'mapview' | Tim Appelhans |
| leafgl | 0.1.1 | High-Performance 'WebGl' Rendering for Package 'leaflet' | Tim Appelhans |
| leaflegend | 1.2.0 | Add Custom Legends to 'leaflet' Maps | Thomas Roh |
| leaflet | 2.2.2 | Create Interactive Web Maps with the JavaScript 'Leaflet'
Library | Joe Cheng |
| leaflet.esri | 1.0.0 | 'ESRI' Bindings for the 'leaflet' Package | Bhaskar Karambelkar |
| leaflet.extras | 1.0.0 | Extra Functionality for 'leaflet' Package | Bhaskar Karambelkar |
| leaflet.extras2 | 1.2.2 | Extra Functionality for 'leaflet' Package | Gatscha Sebastian |
| leaflet.minicharts | 0.6.2 | Mini Charts for Interactive Maps | Veronique Bachelier |
| leaflet.providers | 2.0.0 | Leaflet Providers | Barret Schloerke |
| leafpm | 0.1.0 | Leaflet Map Plugin for Drawing and Editing | Kenton Russell |
| leafpop | 0.1.0 | Include Tables, Images and Graphs in Leaflet Pop-Ups | Tim Appelhans |
| leafR | 0.3.5 | Calculates the Leaf Area Index (LAD) and Other Related Functions | Danilo Roberti Alves de Almeida |
| leafSTAR | 1.0 | Silhouette to Area Ratio of Tilted Surfaces | Agustina Ventre Lespiaucq |
| leafsync | 0.1.0 | Small Multiples for Leaflet Web Maps | Tim Appelhans |
| leaftime | 0.2.0 | 'Leaflet-timeline' Plugin for Leaflet | Kent Russell |
| leakyIV | 0.0.1 | Leaky Instrumental Variables | David S. Watson |
| leanpubr | 0.3.1 | 'Leanpub' API Interface | John Muschelli |
| LEANR | 1.4.9 | Finds "Local Subnetworks" Within an Interaction Network which
Show Enrichment for Differentially Expressed Genes | Frederik Gwinner |
| leapp | 1.3 | Latent Effect Adjustment After Primary Projection | Yunting Sun |
| leaps | 3.1 | Regression Subset Selection | Thomas Lumley |
| LeArEst | 1.0.0 | Border and Area Estimation of Data Measured with Additive Error | Petar Taler |
| LearnBayes | 2.15.1 | Functions for Learning Bayesian Inference | Jim Albert |
| LearnClust | 1.1 | Learning Hierarchical Clustering Algorithms | Roberto Alcantara |
| LearnGeom | 1.5 | Learning Plane Geometry | Alvaro Briz-Redon |
| learningr | 0.29.1 | Data and Functions to Accompany the Book "Learning R" | Richie Cotton |
| LearningRlab | 2.4 | Statistical Learning Functions | Carlos Javier Hellin Asensio |
| LearningStats | 0.1.0 | Elemental Descriptive and Inferential Statistics | María Isabel Borrajo-García |
| learningtower | 1.0.1 | OECD PISA Datasets from 2000-2018 in an Easy-to-Use Format | Kevin Wang |
| LearnPCA | 0.2.0 | Functions, Data Sets and Vignettes to Aid in Learning Principal
Components Analysis (PCA) | Bryan A. Hanson |
| learnPopGen | 1.0.4 | Population Genetic Simulations & Numerical Analysis | Liam J. Revell |
| learnr | 0.11.5 | Interactive Tutorials for R | Garrick Aden-Buie |
| learnrbook | 1.0.2-1 | Datasets and Code Examples from P. J. Aphalo's "Learn R" Book | Pedro J. Aphalo |
| LearnSL | 1.0.0 | Learn Supervised Classification Methods Through Examples and
Code | Víctor Amador Padilla |
| leastcostpath | 2.0.12 | Modelling Pathways and Movement Potential Within a Landscape | Joseph Lewis |
| ledger | 2.0.9 | Utilities for Importing Data from Plain Text Accounting Files | Trevor L Davis |
| leem | 0.1.0 | Laboratory of Teaching to Statistics and Mathematics | Ben Deivide |
| lefko3 | 6.2.1 | Historical and Ahistorical Population Projection Matrix Analysis | Richard P. Shefferson |
| legion | 0.1.2 | Forecasting Using Multivariate Models | Ivan Svetunkov |
| legislatoR | 1.1.0 | Interface to the Comparative Legislators Database | Sascha Goebel |
| LEGIT | 1.4.1 | Latent Environmental & Genetic InTeraction (LEGIT) Model | Alexia Jolicoeur-Martineau |
| legocolors | 0.3.1 | Official Lego Color Palettes | Matthew Leonawicz |
| lehdr | 1.1.3 | Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files | Jamaal Green |
| leiden | 0.4.3.1 | R Implementation of Leiden Clustering Algorithm | S. Thomas Kelly |
| leidenAlg | 1.1.3 | Implements the Leiden Algorithm via an R Interface | Evan Biederstedt |
| leidenbase | 0.1.27 | R and C/C++ Wrappers to Run the Leiden find_partition() Function | Brent Ewing |
| leiv | 2.0-7 | Bivariate Linear Errors-In-Variables Estimation | David Leonard |
| LeMaRns | 0.1.2 | Length-Based Multispecies Analysis by Numerical Simulation | Michael A. Spence |
| lemna | 1.0.1 | Lemna Ecotox Effect Model | Nils Kehrein |
| lemon | 0.4.9 | Freshing Up your 'ggplot2' Plots | Stefan McKinnon Edwards |
| lenght | 0.1.0 | Allow Misspellings of Length Function | Jacob Bradley |
| lenses | 0.0.3 | Elegant Data Manipulation with Lenses | Chris Hammill |
| leontief | 0.2 | Input-Output Analysis | Mauricio Vargas |
| leprechaun | 1.0.0 | Create Simple 'Shiny' Applications as Packages | John Coene |
| leptokurticMixture | 1.1 | Implements Parsimonious Finite Mixtures of Multivariate
Elliptical Leptokurtic-Normals | Ryan Browne |
| lero.lero | 0.2 | Generate 'Lero Lero' Quotes | Lucas Processi |
| less | 0.1.0 | Learning with Subset Stacking | Burhan Ozer Cavdar |
| lessR | 4.3.2 | Less Code, More Results | David W. Gerbing |
| lessSEM | 1.5.5 | Non-Smooth Regularization for Structural Equation Models | Jannik H. Orzek |
| lest | 1.1.0 | Vectorised Nested if-else Statements Similar to CASE WHEN in
'SQL' | Stefan Fleck |
| lestat | 1.9 | A Package for Learning Statistics | Petter Mostad |
| letsR | 5.0 | Data Handling and Analysis in Macroecology | Bruno Vilela |
| lettervalue | 0.2.1 | Computing Letter Values | Gilberto Sassi |
| levitate | 0.2.0 | Fuzzy String Comparison | Lewin Appleton-Fox |
| LexFindR | 1.0.2 | Find Related Items and Lexical Dimensions in a Lexicon | ZhaoBin Li |
| lexicon | 1.2.1 | Lexicons for Text Analysis | Tyler Rinker |
| lexiconPT | 0.1.0 | Lexicons for Portuguese Text Analysis | Sillas Gonzaga |
| LexisNexisTools | 0.3.7 | Working with Files from 'LexisNexis' | Johannes Gruber |
| LexisPlotR | 0.4.0 | Plot Lexis Diagrams for Demographic Purposes | Philipp Ottolinger |
| lexRankr | 0.5.2 | Extractive Summarization of Text with the LexRank Algorithm | Adam Spannbauer |
| lfactors | 1.0.4 | Factors with Levels | Paul Bailey |
| LFApp | 1.4 | Shiny Apps for Lateral Flow Assays | Filip Paskali |
| lfc | 0.2.3 | Log Fold Change Distribution Tools for Working with Ratios of
Counts | Florian Erhard |
| lfda | 1.1.3 | Local Fisher Discriminant Analysis | Yuan Tang |
| LFDR.MLE | 1.0.1 | Estimation of the Local False Discovery Rates by Type II Maximum
Likelihood Estimation | M. Padilla |
| LFDR.MME | 1.0 | Estimating Local False Discovery Rates Using the Method of
Moments | Ali Karimnezhad |
| LFDREmpiricalBayes | 1.0 | Estimating Local False Discovery Rates Using Empirical Bayes
Methods | Ali Karimnezhad |
| lfe | 3.0-0 | Linear Group Fixed Effects | Mauricio Vargas Sepulveda |
| lfl | 2.2.0 | Linguistic Fuzzy Logic | Michal Burda |
| lfmm | 1.1 | Latent Factor Mixed Models | Basile Jumentier |
| lfstat | 0.9.12 | Calculation of Low Flow Statistics for Daily Stream Flow Data | Tobias Gauster |
| lg | 0.4.1 | Locally Gaussian Distributions: Estimation and Methods | Håkon Otneim |
| lgarch | 0.6-2 | Simulation and Estimation of Log-GARCH Models | Genaro Sucarrat |
| lgcp | 2.0 | Log-Gaussian Cox Process | Benjamin M. Taylor |
| LGDtoolkit | 0.2.0 | Collection of Tools for LGD Rating Model Development | Andrija Djurovic |
| LGEWIS | 1.1 | Tests for Genetic Association/Gene-Environment Interaction in
Longitudinal Studies | Zihuai He |
| lglasso | 0.1.0 | Longitudinal Graphical Lasso | Jie Zhou |
| lgpr | 1.2.4 | Longitudinal Gaussian Process Regression | Juho Timonen |
| lgr | 0.4.4 | A Fully Featured Logging Framework | Stefan Fleck |
| lgrdata | 0.1.1 | Example Datasets for a Learning Guide to R | Remko Duursma |
| lgrExtra | 0.0.8 | Extra Appenders for 'lgr' | Stefan Fleck |
| LGRF | 1.0 | Set-Based Tests for Genetic Association in Longitudinal Studies | Zihuai He |
| lgtdl | 1.1.5 | A Set of Methods for Longitudinal Data Objects | Arthur Allignol |
| LHD | 1.3.3 | Latin Hypercube Designs (LHDs) | Hongzhi Wang |
| lhmixr | 0.1.0 | Fit Sex-Specific Life History Models with Missing
Classifications | Coilin Minto |
| lhs | 1.1.6 | Latin Hypercube Samples | Rob Carnell |
| libbib | 1.6.4 | Various Utilities for Library Science/Assessment and Cataloging | Tony Fischetti |
| libcoin | 1.0-10 | Linear Test Statistics for Permutation Inference | Torsten Hothorn |
| libgeos | 3.11.1-2 | Open Source Geometry Engine ('GEOS') C API | Dewey Dunnington |
| LiblineaR | 2.10-23 | Linear Predictive Models Based on the LIBLINEAR C/C++ Library | Thibault Helleputte |
| LibOPF | 2.6.2 | Design of Optimum-Path Forest Classifiers | Rafael Junqueira Martarelli |
| libr | 1.3.1 | Libraries, Data Dictionaries, and a Data Step for R | David Bosak |
| Libra | 1.7 | Linearized Bregman Algorithms for Generalized Linear Models | Jiechao Xiong |
| librarian | 1.8.1 | Install, Update, Load Packages from CRAN, 'GitHub', and
'Bioconductor' in One Step | Desi Quintans |
| librarysnapshot | 0.1.2 | Library Snapshot for Packages and Dependencies in Use by Current
Session | Peter Meissner |
| libstable4u | 1.0.3 | Stable Distribution Functions...For You | Bruce Swihart |
| LIC | 0.0.2 | The LIC Criterion for Optimal Subset Selection | Guangbao Guo |
| lidaRtRee | 4.0.5 | Forest Analysis with Airborne Laser Scanning (LiDAR) Data | Jean-Matthieu Monnet |
| lidR | 4.1.1 | Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications | Jean-Romain Roussel |
| lifecontingencies | 1.3.11 | Financial and Actuarial Mathematics for Life Contingencies | Giorgio Alfredo Spedicato |
| lifecourse | 2.0 | Quantification of Lifecourse Fluidity | Glenna Nightingale |
| lifecycle | 1.0.4 | Manage the Life Cycle of your Package Functions | Lionel Henry |
| LifeHist | 1.0-1 | Life History Models of Individuals | Ruben H. Roa-Ureta |
| LifeInsuranceContracts | 0.0.6 | Framework for Traditional Life Insurance Contracts | Reinhold Kainhofer |
| LifeInsureR | 1.0.0 | Modelling Traditional Life Insurance Contracts | Reinhold Kainhofer |
| lifelogr | 0.1.0 | Life Logging | Lisa Ann Yu |
| LifemapR | 1.1.1 | Data Visualisation on 'Lifemap' Tree | Aurélie Siberchicot |
| lifeR | 1.0.1 | Identify Sites for Your Bird List | Jeffrey Oliver |
| Lifertable | 0.0.1 | Life and Fertility Tables Specially for Insects | Carlos Abimael Sarmiento Sanchez |
| LifeTables | 1.0 | Two-Parameter HMD Model Life Table System | David J. Sharrow |
| liftLRD | 1.0-9 | Wavelet Lifting Estimators of the Hurst Exponent for Regularly
and Irregularly Sampled Time Series | Matt Nunes |
| liftr | 0.9.2 | Containerize R Markdown Documents for Continuous Reproducibility | Nan Xiao |
| LiftTest | 0.2.0 | A Bootstrap Proportion Test for Brand Lift Testing | Wanjun Liu |
| lifx | 0.2.0 | Control 'LIFX' Smart Light Bulbs | Martin Barner |
| liger | 2.0.1 | Lightweight Iterative Geneset Enrichment | Jean Fan |
| lightgbm | 4.3.0 | Light Gradient Boosting Machine | James Lamb |
| LightningR | 1.0.2 | Tools for Communication with Lightning-Viz Server | Kolodziejski Kamil |
| lightparser | 0.1.0 | From 'Rmarkdown' and 'Quarto' Files to Tibble and Back | Sebastien Rochette |
| lightr | 1.7.1 | Read Spectrometric Data and Metadata | Hugo Gruson |
| lightsout | 0.3.2 | Implementation of the 'Lights Out' Puzzle Game | Dean Attali |
| likelihood | 1.9 | Methods for Maximum Likelihood Estimation | Lora Murphy |
| likelihoodAsy | 0.51 | Functions for Likelihood Asymptotics | Ruggero Bellio |
| likelihoodExplore | 0.1.0 | Likelihood Exploration | Ben Barnard |
| likelihoodR | 1.1.4 | Likelihood Analyses for Common Statistical Tests | Peter Cahusac |
| likert | 1.3.5 | Analysis and Visualization Likert Items | Jason Bryer |
| LikertMakeR | 0.2.0 | Synthesise and Correlate Rating-Scale Data | Hume Winzar |
| lilikoi | 2.1.1 | Metabolomics Personalized Pathway Analysis Tool | Lana Garmire |
| lillies | 0.2.12 | Estimation of Life Years Lost | Oleguer Plana-Ripoll |
| LilRhino | 1.2.2 | For Implementation of Feed Reduction, Learning Examples, NLP and
Code Management | Travis Barton |
| LIM | 1.4.7.1 | Linear Inverse Model Examples and Solution Methods | Karline Soetaert |
| lime | 0.5.3 | Local Interpretable Model-Agnostic Explanations | Emil Hvitfeldt |
| liminal | 0.1.2 | Multivariate Data Visualization with Tours and Embeddings | Stuart Lee |
| LimnoPalettes | 0.1.0 | A Limnology Themed Palette Generator | Paul Julian |
| limonaid | 0.1.5 | Working with 'LimeSurvey' Surveys and Responses | Gjalt-Jorn Peters |
| limorhyde | 1.0.1 | Differential Analysis of Rhythmic Transcriptome Data | Jake Hughey |
| limorhyde2 | 0.1.0 | Quantify Rhythmicity and Differential Rhythmicity in Genomic
Data | Jake Hughey |
| limSolve | 1.5.7.1 | Solving Linear Inverse Models | Karline Soetaert |
| lin.eval | 0.1.2 | Perform Polynomial Evaluation of Linearity | Vishesh Shrivastav |
| linbin | 0.1.3 | Binning and Plotting of Linearly Referenced Data | Ethan Z. Welty |
| LinCal | 1.0.1 | Static Univariate Frequentist and Bayesian Linear Calibration | Derick L. Rivers |
| lincom | 1.1 | Linear Biomarker Combination: Empirical Performance Optimization | Yijian Huang |
| linconGaussR | 0.1 | Sampling Multivariate Normal Distribution under Linear
Constraints | Yunyi Shen |
| LindenmayeR | 0.1.13 | Functions to Explore L-Systems (Lindenmayer Systems) | Bryan Hanson |
| lindia | 0.10 | Automated Linear Regression Diagnostic | Yeuk Yu Lee |
| LindleyPowerSeries | 1.0.1 | Lindley Power Series Distribution | Yuancheng Si |
| linearModel | 1.0.2 | Linear Model Functions | Jared Studyvin |
| LinearRegressionMDE | 1.0 | Minimum Distance Estimation in Linear Regression Model | Jiwoong Kim |
| lineartestr | 1.0.0 | Linear Specification Testing | Federico Garza |
| linelist | 1.1.0 | Tagging and Validating Epidemiological Data | Hugo Gruson |
| linemap | 0.3.0 | Line Maps | Timothée Giraud |
| linERR | 1.0 | Linear Excess Relative Risk Model | David Moriña Soler |
| lineup | 0.42 | Lining Up Two Sets of Measurements | Karl W Broman |
| lineup2 | 0.6 | Lining Up Two Sets of Measurements | Karl W Broman |
| lineupjs | 4.6.0 | 'HTMLWidget' Wrapper of 'LineUp' for Visual Analysis of
Multi-Attribute Rankings | Samuel Gratzl |
| lingdist | 1.0 | Fast Linguistic Distance and Alignment Computation | Chao Kong |
| lingglosses | 0.0.7 | Interlinear Glossed Linguistic Examples and Abbreviation Lists
Generation | George Moroz |
| lingmatch | 1.0.6 | Linguistic Matching and Accommodation | Micah Iserman |
| lingtypology | 1.1.17 | Linguistic Typology and Mapping | George Moroz |
| linguisticsdown | 1.2.0 | Easy Linguistics Document Writing with R Markdown | Yongfu Liao |
| link | 2024.4.0 | Hyperlink Automatic Detection | Romain François |
| link2GI | 0.5-3 | Linking Geographic Information Systems, Remote Sensing and Other
Command Line Tools | Chris Reudenbach |
| Linkage | 0.9 | Clustering Communication Networks Using the Stochastic Topic
Block Model Through Linkage.fr | Charles Bouveyron |
| LinkageMapView | 2.1.2 | Plot Linkage Group Maps with Quantitative Trait Loci | Lisa Ouellette |
| linkcomm | 1.0-14 | Tools for Generating, Visualizing, and Analysing Link
Communities in Networks | Alex T. Kalinka |
| LinkedGASP | 1.0 | Linked Emulator of a Coupled System of Simulators | Ksenia N. Kyzyurova |
| linkedInadsR | 0.1.0 | Access to 'LinkedIn' Ads via the 'Windsor.ai' API | Pablo Sanchez |
| LinkedMatrix | 1.4.0 | Column-Linked and Row-Linked Matrices | Alexander Grueneberg |
| linkprediction | 1.0-0 | Link Prediction Methods | Michal Bojanowski |
| linkspotter | 1.3.0 | Bivariate Correlations Calculation and Visualization | Alassane Samba |
| linl | 0.0.5 | 'linl' is not 'Letter' | Dirk Eddelbuettel |
| linne | 0.0.2 | Convenient 'CSS' | John Coene |
| linpk | 1.1.2 | Generate Concentration-Time Profiles from Linear PK Systems | Benjamin Rich |
| linprog | 0.9-4 | Linear Programming / Optimization | Arne Henningsen |
| LinRegInteractive | 0.3-3 | Interactive Interpretation of Linear Regression Models | Martin Meermeyer |
| LINselect | 1.1.5 | Selection of Linear Estimators | Benjamin Auder |
| lintools | 0.1.7 | Manipulation of Linear Systems of (in)Equalities | Mark van der Loo |
| lintr | 3.1.2 | A 'Linter' for R Code | Michael Chirico |
| lipidmapsR | 1.0.4 | Lipid Maps Rest Service | Mingzhuo Tian |
| LipidMS | 3.0.4 | Lipid Annotation for LC-MS/MS DDA or DIA Data | M Isabel Alcoriza-Balaguer |
| lipidomeR | 0.1.2 | Integrative Visualizations of the Lipidome | Tommi Suvitaival |
| LipidomicsR | 0.1.6 | Elegant Tools for Processing and Visualization of Lipidomics
Data | Hengyu Zhu |
| LipinskiFilters | 1.0.1 | Computes and Visualize Lipinski's Parameters | Oche Ambrose George |
| liqueueR | 0.0.1 | Implements Queue, PriorityQueue and Stack Classes | Andrew Collier |
| lira | 2.0.1 | LInear Regression in Astronomy | Mauro Sereno |
| lisa | 0.1.2 | Color Palettes from Color Lisa | Tyler Littlefield |
| lisrelToR | 0.3 | Import Output from LISREL into R | Sacha Epskamp |
| list | 9.2.6 | Statistical Methods for the Item Count Technique and List
Experiment | Graeme Blair |
| listArray | 0.1.1 | Incomplete Array with Arbitrary R Objects as Indices | Sigbert Klinke |
| listarrays | 0.3.1 | A Toolbox for Working with R Arrays in a Functional Programming
Style | Tomasz Kalinowski |
| listcomp | 0.4.1 | List Comprehensions | Dirk Schumacher |
| listcompr | 0.4.0 | List Comprehension for R | Patrick Roocks |
| listdown | 0.5.7 | Create R Markdown from Lists | Michael J. Kane |
| listenv | 0.9.1 | Environments Behaving (Almost) as Lists | Henrik Bengtsson |
| LIStest | 2.1 | Tests of independence based on the Longest Increasing
Subsequence | J. E. Garcia |
| listr | 0.1.0 | Tools for Lists | Christian Hohenfeld |
| listviewer | 4.0.0 | 'htmlwidget' for Interactive Views of R Lists | Kent Russell |
| listWithDefaults | 1.2.0 | List with Defaults | Russell S. Pierce |
| lit | 1.0.0 | Latent Interaction Testing for Genome-Wide Studies | Andrew Bass |
| lite | 1.1.0 | Likelihood-Based Inference for Time Series Extremes | Paul J. Northrop |
| liteq | 1.1.0 | Lightweight Portable Message Queue Using 'SQLite' | Gábor Csárdi |
| literanger | 0.0.2 | Random Forests for Multiple Imputation Based on 'ranger' | Stephen Wade |
| litRiddle | 1.0.0 | Dataset and Tools to Research the Riddle of Literary Quality | Maciej Eder |
| litteR | 1.0.0 | Litter Analysis | Dennis Walvoort |
| litterfitter | 0.1.3 | Fit a Collection of Curves to Single Cohort Decomposition Data | Will Cornwell |
| littler | 0.3.20 | R at the Command-Line via 'r' | Dirk Eddelbuettel |
| liureg | 1.1.2 | Liu Regression with Liu Biasing Parameters and Statistics | Imdad Ullah Muhammad |
| live | 1.5.13 | Local Interpretable (Model-Agnostic) Visual Explanations | Mateusz Staniak |
| liver | 1.15 | "Eating the Liver of Data Science" | Reza Mohammadi |
| ljr | 1.4-0 | Logistic Joinpoint Regression | Ryan Gill |
| LKT | 1.6.0 | Logistic Knowledge Tracing | Philip I. Pavlik Jr. |
| llama | 0.10.1 | Leveraging Learning to Automatically Manage Algorithms | Lars Kotthoff |
| llbayesireg | 1.0.0 | The L-Logistic Bayesian Regression | Rosineide Fernando da Paz |
| LLM | 1.1.0 | Logit Leaf Model Classifier for Binary Classification | Arno De Caigny |
| llogistic | 1.0.3 | The L-Logistic Distribution | Rosineide Fernando da Paz |
| LLSR | 0.0.3.1 | Data Analysis of Liquid-Liquid Systems using R | Diego F Coelho |
| lm.beta | 1.7-2 | Add Standardized Regression Coefficients to Linear-Model-Objects | Stefan Behrendt |
| lm.br | 2.9.7 | Linear Model with Breakpoint | Marc Adams |
| lmap | 0.1.2 | Logistic Mapping | Mark de Rooij |
| lmboot | 0.0.1 | Bootstrap in Linear Models | Megan Heyman |
| LMD | 1.0.0 | A Self-Adaptive Approach for Demodulating Multi-Component Signal | Shubhra Prakash |
| lmDiallel | 1.0.1 | Linear Fixed/Mixed Effects Models for Diallel Crosses | Andrea Onofri |
| lmds | 0.1.0 | Landmark Multi-Dimensional Scaling | Robrecht Cannoodt |
| lme4 | 1.1-35.2 | Linear Mixed-Effects Models using 'Eigen' and S4 | Ben Bolker |
| lmeInfo | 0.3.2 | Information Matrices for 'lmeStruct' and 'glsStruct' Objects | Man Chen |
| LMERConvenienceFunctions | 3.0 | Model Selection and Post-Hoc Analysis for (G)LMER Models | "Antoine Tremblay, Statistics Canada" |
| lmeresampler | 0.2.4 | Bootstrap Methods for Nested Linear Mixed-Effects Models | Adam Loy |
| lmerPerm | 0.1.9 | Perform Permutation Test on General Linear and Mixed Linear
Regression | Wentao Zeng |
| lmerTest | 3.1-3 | Tests in Linear Mixed Effects Models | Rune Haubo Bojesen Christensen |
| lmeSplines | 1.1-12 | Add Smoothing Spline Modelling Capability to `nlme` | Andrzej Galecki |
| LMest | 3.1.2 | Generalized Latent Markov Models | Francesco Bartolucci |
| lmf | 1.2.1 | Functions for Estimation and Inference of Selection in
Age-Structured Populations | Thomas Kvalnes |
| LMfilteR | 0.1.3.1 | Filter Methods for Parameter Estimation in Linear and Non Linear
Regression Models | Christian Llano Robayo |
| lmfor | 1.6 | Functions for Forest Biometrics | Lauri Mehtatalo |
| lmForc | 0.1.0 | Linear Model Forecasting | Nelson Rayl |
| lmhelprs | 0.3.0 | Helper Functions for Linear Model Analysis | Shu Fai Cheung |
| lmls | 0.1.0 | Gaussian Location-Scale Regression | Hannes Riebl |
| lmm | 1.4 | Linear Mixed Models | Jing hua Zhao |
| LMMELSM | 0.2.0 | Fit Latent Multivariate Mixed Effects Location Scale Models | Stephen Martin |
| lmmot | 0.1.4 | Multiple Ordinal Tobit (MOT) Model | Marvin N. Wright |
| lmmpar | 0.1.0 | Parallel Linear Mixed Model | Fulya Gokalp Yavuz |
| LMMsolver | 1.0.6 | Linear Mixed Model Solver | Bart-Jan van Rossum |
| LMMstar | 1.0.1 | Repeated Measurement Models for Discrete Times | Brice Ozenne |
| LMN | 1.1.3 | Inference for Linear Models with Nuisance Parameters | Martin Lysy |
| lmodel2 | 1.7-3 | Model II Regression | Jari Oksanen |
| lmom | 3.0 | L-Moments | J. R. M. Hosking |
| lmomco | 2.4.14 | L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments,
and Many Distributions | William Asquith |
| Lmoments | 1.3-1 | L-Moments and Quantile Mixtures | Juha Karvanen |
| lmomPi | 0.6.6 | (Precipitation) Frequency Analysis and Variability with
L-Moments from 'lmom' | Emanuele Cordano |
| lmomRFA | 3.6 | Regional Frequency Analysis using L-Moments | J. R. M. Hosking |
| lmPerm | 2.1.0 | Permutation Tests for Linear Models | Marco Torchiano |
| lmQCM | 0.2.4 | An Algorithm for Gene Co-Expression Analysis | Zhi Huang |
| lmreg | 1.2 | Data and Functions Used in Linear Models and Regression with R:
An Integrated Approach | Jinwen Qiu |
| lmridge | 1.2.2 | Linear Ridge Regression with Ridge Penalty and Ridge Statistics | Imdad Ullah Muhammad |
| lmSubsets | 0.5-2 | Exact Variable-Subset Selection in Linear Regression | Marc Hofmann |
| lmtest | 0.9-40 | Testing Linear Regression Models | Achim Zeileis |
| lmtestrob | 0.1 | Outlier Robust Specification Testing | Mikhail Zhelonkin |
| lmtp | 1.3.3 | Non-Parametric Causal Effects of Feasible Interventions Based on
Modified Treatment Policies | Nicholas Williams |
| lmviz | 0.2.0 | A Package to Visualize Linear Models Features and Play with Them | Francesco Pauli |
| lmw | 0.0.2 | Linear Model Weights | Noah Greifer |
| lncDIFF | 1.0.0 | Long Non-Coding RNA Differential Expression Analysis | Qian Li |
| LncFinder | 1.1.5 | LncRNA Identification and Analysis Using Heterologous Features | Siyu HAN |
| LncPath | 1.1 | Identifying the Pathways Regulated by LncRNA Sets of Interest | Junwei Han |
| LNIRT | 0.5.1 | LogNormal Response Time Item Response Theory Models | Konrad Klotzke |
| lnmCluster | 0.3.1 | Perform Logistic Normal Multinomial Clustering for Microbiome
Compositional Data | Wangshu Tu |
| LNPar | 0.1.0 | Estimation and Testing for a Lognormal-Pareto Mixture | Marco Bee |
| loa | 0.2.48.3 | Lattice Options and Add-Ins | Karl Ropkins |
| loadeR | 1.1.8 | Load Data for Analysis System | Oldemar Rodriguez |
| loadings | 0.4.1 | Loadings for Principal Component Analysis and Partial Least
Squares | Hiroyuki Yamamoto |
| loadshaper | 1.1.1 | Producing Load Shape with Target Peak and Load Factor | Md Riaz Ahmed Khan |
| LoBrA | 1.0 | Generalized Spline Mixed Effect Models for Longitudinal Breath
Data | Anne-Christin Hauschild |
| LobsterCatch | 0.1.0 | Models the Capture Processes in American Lobster Trap Fishery | Nickchi Payman |
| lobstr | 1.1.2 | Visualize R Data Structures with Trees | Hadley Wickham |
| localboot | 0.9.2 | Local Bootstrap Methods for Various Networks | Tianhai Zu |
| LocalControl | 1.1.3 | Nonparametric Methods for Generating High Quality Comparative
Effectiveness Evidence | Christophe G. Lambert |
| LocalCop | 0.0.1 | Local Likelihood Inference for Conditional Copula Models | Martin Lysy |
| localFDA | 1.0.0 | Localization Processes for Functional Data Analysis | Antonio Elías |
| localgauss | 0.41 | Estimating Local Gaussian Parameters | Tore Selland Kleppe |
| localICE | 0.1.1 | Local Individual Conditional Expectation | Martin Walter |
| localIV | 0.3.1 | Estimation of Marginal Treatment Effects using Local
Instrumental Variables | Xiang Zhou |
| localModel | 0.5 | LIME-Based Explanations with Interpretable Inputs Based on
Ceteris Paribus Profiles | Przemyslaw Biecek |
| localScore | 1.0.11 | Package for Sequence Analysis by Local Score | David Robelin |
| localsolver | 2.3 | R API to LocalSolver | Walerian Sokolowski |
| locaR | 0.1.2 | A Set of Tools for Sound Localization | Richard Hedley |
| locateip | 0.1.2 | Locate IP Addresses with 'ip-api' | Judith Bourque |
| locatexec | 0.1.1 | Detection and Localization of Executable Files | David Gohel |
| locationgamer | 0.1.0 | Identification of Location Game Equilibria in Networks | Maximilian Zellner |
| LocaTT | 1.1.1 | Geographically-Conscious Taxonomic Assignment for Metabarcoding | Kenen Goodwin |
| locfdr | 1.1-8 | Computes Local False Discovery Rates | Balasubramanian Narasimhan |
| locfit | 1.5-9.9 | Local Regression, Likelihood and Density Estimation | Andy Liaw |
| locits | 1.7.7 | Test of Stationarity and Localized Autocovariance | Guy Nason |
| Lock5Data | 3.0.0 | Datasets for "Statistics: UnLocking the Power of Data" | Robin Lock |
| Lock5withR | 1.2.2 | Datasets for 'Statistics: Unlocking the Power of Data' | Randall Pruim |
| LocKer | 1.1 | Locally Sparse Estimator of Generalized Varying Coefficient
Model for Asynchronous Longitudinal Data | Rou Zhong |
| locpol | 0.8.0 | Kernel Local Polynomial Regression | Jorge Luis Ojeda Cabrera |
| locpolExpectile | 0.1.1 | Local Polynomial Expectile Regression | Cécile Adam |
| locStra | 1.9 | Fast Implementation of (Local) Population Stratification Methods | Georg Hahn |
| LOCUS | 1.0 | Low-Rank Decomposition of Brain Connectivity Matrices with
Uniform Sparsity | Jialu Ran |
| locuszoomr | 0.2.1 | Gene Locus Plot with Gene Annotations | Myles Lewis |
| loder | 0.2.1 | Dependency-Free Access to PNG Image Files | Jon Clayden |
| lodGWAS | 1.0-7 | Genome-Wide Association Analysis of a Biomarker Accounting for
Limit of Detection | Ilja M. Nolte |
| lodi | 0.9.2 | Limit of Detection Imputation for Single-Pollutant Models | Alexander Rix |
| lodr | 1.0 | Linear Model Fitting with LOD Covariates | Kevin Donovan |
| loe | 1.1 | Local Ordinal Embedding | Yoshikazu Terada |
| loedata | 1.0.1 | Data Sets from "Lectures on Econometrics" by Chirok Han | Chirok Han |
| loewesadditivity | 0.1.0 | Loewe's Additivity | Shannon Gallagher |
| log | 1.1.1 | Record Events and Issues | John Coene |
| log4r | 0.4.3 | A Fast and Lightweight Logging System for R, Based on 'log4j' | Aaron Jacobs |
| LOGAN | 1.0.1 | Log File Analysis in International Large-Scale Assessments | Waldir Leoncio |
| LOGANTree | 0.1.1 | Tree-Based Models for the Analysis of Log Files from
Computer-Based Assessments | Qi Qin |
| logbin | 2.0.5 | Relative Risk Regression Using the Log-Binomial Model | Mark W. Donoghoe |
| LogConcDEAD | 1.6-9 | Log-Concave Density Estimation in Arbitrary Dimensions | Yining Chen |
| logconcens | 0.17-3 | Maximum Likelihood Estimation of a Log-Concave Density Based on
Censored Data | Dominic Schuhmacher |
| logcondens | 2.1.8 | Estimate a Log-Concave Probability Density from Iid Observations | Kaspar Rufibach |
| logcondiscr | 1.0.6 | Estimate a Log-Concave Probability Mass Function from Discrete
i.i.d. Observations | Kaspar Rufibach |
| logger | 0.3.0 | A Lightweight, Modern and Flexible Logging Utility | Gergely Daróczi |
| logging | 0.10-108 | R Logging Package | Walerian Sokolowski |
| loggit | 2.1.1 | Modern Logging for the R Ecosystem | Ryan Price |
| logib | 0.1.2 | Salary Analysis by the Swiss Federal Office for Gender Equality | Jonathan Chassot |
| logiBin | 0.3 | Binning Variables to Use in Logistic Regression | Sneha Tody |
| logicDT | 1.0.4 | Identifying Interactions Between Binary Predictors | Michael Lau |
| LogicForest | 2.1.1 | Logic Forest | Melica Nikahd |
| LogicReg | 1.6.6 | Logic Regression | Charles Kooperberg |
| logihist | 1.0 | Combined Graphs for Logistic Regression | Marcelino de la Cruz |
| logistf | 1.26.0 | Firth's Bias-Reduced Logistic Regression | Georg Heinze |
| logistic4p | 1.6 | Logistic Regression with Misclassification in Dependent
Variables | Zhiyong Zhang |
| LogisticCurveFitting | 0.1.0 | Logistic Curve Fitting by Rhodes Method | Debarghya Baul |
| logisticPCA | 0.2 | Binary Dimensionality Reduction | Andrew J. Landgraf |
| LogisticRCI | 1.1 | Linear and Logistic Regression-Based Reliable Change Index | Rafael de Andrade Moral |
| logisticRR | 0.3.0 | Adjusted Relative Risk from Logistic Regression | Youjin Lee |
| logitFD | 1.0 | Functional Principal Components Logistic Regression | Manuel Escabias |
| logitnorm | 0.8.39 | Functions for the Logitnormal Distribution | Thomas Wutzler |
| logitr | 1.1.1 | Logit Models w/Preference & WTP Space Utility Parameterizations | John Helveston |
| logKDE | 0.3.2 | Computing Log-Transformed Kernel Density Estimates for Positive
Data | Andrew Thomas Jones |
| loglognorm | 1.0.2 | Double Log Normal Distribution Functions | Olaf Mersmann |
| logmult | 0.7.4 | Log-Multiplicative Models, Including Association Models | Milan Bouchet-Valat |
| lognorm | 0.1.10 | Functions for the Lognormal Distribution | Thomas Wutzler |
| logNormReg | 0.5-0 | log Normal Linear Regression | Vito M. R. Muggeo |
| logOfGamma | 0.0.1 | Natural Logarithms of the Gamma Function for Large Values | Phillip Labuschagne |
| logr | 1.3.7 | Creates Log Files | David Bosak |
| LogRegEquiv | 0.1.5 | Logistic Regression Equivalence | Guy Ashiri-Prossner |
| logrx | 0.3.0 | A Logging Utility Focus on Clinical Trial Programming Workflows | Nathan Kosiba |
| logspline | 2.1.21 | Routines for Logspline Density Estimation | Charles Kooperberg |
| lokern | 1.1-10.1 | Kernel Regression Smoothing with Local or Global Plug-in
Bandwidth | Martin Maechler |
| lolliplot | 0.2.2 | Plot Variants and Somatic Mutations | Zhang Renliang |
| lolog | 1.3.1 | Latent Order Logistic Graph Models | Ian E. Fellows |
| lolR | 2.1 | Linear Optimal Low-Rank Projection | Eric Bridgeford |
| LOMAR | 0.4.0 | Localization Microscopy Data Analysis | Jean-Karim Heriche |
| lomb | 2.5.0 | Lomb-Scargle Periodogram | Thomas Ruf |
| long2lstmarray | 0.2.0 | Longitudinal Dataframes into Arrays for Machine Learning
Training | Luis Garcez |
| LongCART | 3.2 | Recursive Partitioning for Longitudinal Data and Right Censored
Data Using Baseline Covariates | Madan G Kundu |
| longCatEDA | 0.31 | Package for Plotting Categorical Longitudinal and Time-Series
Data | Stephen Tueller |
| longclust | 1.5 | Model-Based Clustering and Classification for Longitudinal Data | Paul D. McNicholas |
| LongDat | 1.1.2 | A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
'omics' Data | Chia-Yu Chen |
| longevity | 1.0.0 | Statistical Methods for the Analysis of Excess Lifetimes | Leo Belzile |
| longit | 0.1.0 | High Dimensional Longitudinal Data Analysis Using MCMC | Atanu Bhattacharjee |
| longitudinal | 1.1.13 | Analysis of Multiple Time Course Data | Korbinian Strimmer |
| longitudinalANAL | 0.2 | Longitudinal Data Analysis | Zhuowei Sun |
| longitudinalcascade | 0.3.2.6 | Longitudinal Cascade | Noah Haber |
| longitudinalData | 2.4.5.1 | Longitudinal Data | Christophe Genolini |
| LongituRF | 0.9 | Random Forests for Longitudinal Data | Louis Capitaine |
| longke | 0.1.0 | Nonparametric Predictive Model for Sparse and Irregular
Longitudinal Data | Shixuan Wang |
| longmemo | 1.1-2 | Statistics for Long-Memory Processes (Book Jan Beran), and
Related Functionality | Martin Maechler |
| LongMemoryTS | 0.1.0 | Long Memory Time Series | Christian Leschinski |
| longmixr | 1.0.0 | Longitudinal Consensus Clustering with 'flexmix' | Jonas Hagenberg |
| longpower | 1.0.25 | Sample Size Calculations for Longitudinal Data | Michael C. Donohue |
| longROC | 1.0 | Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio
Markers or Scores | Alessio Farcomeni |
| longRPart2 | 0.2.3 | Recursive Partitioning of Longitudinal Data | Ross Jacobucci |
| longsurr | 1.0 | Longitudinal Surrogate Marker Analysis | Layla Parast |
| longurl | 0.3.3 | Expand Short 'URLs' | Bob Rudis |
| loo | 2.7.0 | Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian
Models | Jonah Gabry |
| lookout | 0.1.4 | Leave One Out Kernel Density Estimates for Outlier Detection | Sevvandi Kandanaarachchi |
| lookup | 1.0 | Functions Similar to VLOOKUP in Excel | Kevin Wright |
| lookupTable | 0.1 | Look-Up Tables using S4 | Enzo Jia |
| loon | 1.4.1 | Interactive Statistical Data Visualization | R. Wayne Oldford |
| loon.data | 0.1.3 | Data Used to Illustrate 'Loon' Functionality | R. Wayne Oldford |
| loon.ggplot | 1.3.4 | A Grammar of Interactive Graphics | Zehao Xu |
| loon.shiny | 1.0.3 | Automatically Create a 'Shiny' App Based on Interactive 'Loon'
Widgets | Zehao Xu |
| loon.tourr | 0.1.4 | Tour in 'Loon' | Zehao Xu |
| LoopAnalyst | 1.2-7 | A Collection of Tools to Conduct Levins' Loop Analysis | Alexis Dinno |
| LoopDetectR | 0.1.2 | Comprehensive Feedback Loop Detection in ODE Models | Katharina Baum |
| LoopRig | 0.1.1 | Integration and Analysis of Chromatin Loop Data | Hassaan Maan |
| LOPART | 2020.6.29 | Labeled Optimal Partitioning | Toby Dylan Hocking |
| lorad | 0.0.1.0 | Lowest Radial Distance Method of Marginal Likelihood Estimation | Analisa Milkey |
| lordif | 0.3-3 | Logistic Ordinal Regression Differential Item Functioning using
IRT | Seung W. Choi |
| lorec | 0.6.1 | LOw Rand and sparsE Covariance matrix estimation | Xi (Rossi) LUO |
| lorem | 1.0.0 | Generate Lorem Ipsum Text | Garrick Aden-Buie |
| lorentz | 1.1-1 | The Lorentz Transform in Relativistic Physics | Robin K. S. Hankin |
| lorenz | 0.1.0 | Tools for Deriving Income Inequality Estimates from Grouped
Income Data | Andrew Carr |
| LorenzRegression | 1.0.0 | Lorenz and Penalized Lorenz Regressions | Alexandre Jacquemain |
| lori | 2.2.2 | Imputation of High-Dimensional Count Data using Side Information | Genevieve Robin |
| LOST | 2.0.2 | Missing Morphometric Data Simulation and Estimation | J. Arbour |
| LotkasLaw | 0.0.1.0 | Runs Lotka's Law which is One of the Special Applications of
Zipf's Law | Kenneth Buker |
| lotri | 0.4.3 | A Simple Way to Specify Symmetric, Block Diagonal Matrices | Matthew L. Fidler |
| lowmemtkmeans | 0.1.2 | Low Memory Use Trimmed K-Means | Andrew Thomas Jones |
| lowpassFilter | 1.0-2 | Lowpass Filtering | Pein Florian |
| LowRankQP | 1.0.6 | Low Rank Quadratic Programming | John T. Ormerod |
| LowWAFOMNX | 1.1.1 | Low WAFOM Niederreiter-Xing Sequence | Mutsuo Saito |
| LowWAFOMSobol | 1.1.1 | Low WAFOM Sobol Sequence | Mutsuo Saito |
| lpacf | 1.0.1 | Local Partial Autocorrelation Function Estimation for Locally
Stationary Wavelet Processes | Rebecca Killick |
| LPBkg | 1.2 | Detecting New Signals under Background Mismodelling | Sara Algeri |
| lpc | 1.0.2.1 | Lassoed Principal Components for Testing Significance of
Features | Daniela M Witten |
| lpcde | 0.1.3 | Boundary Adaptive Local Polynomial Conditional Density Estimator | Rajita Chandak |
| LPCM | 0.47-4 | Local Principal Curve Methods | Jochen Einbeck |
| lpda | 1.0.1 | Linear Programming Discriminant Analysis | Maria Jose Nueda |
| lpdensity | 2.4 | Local Polynomial Density Estimation and Inference | Xinwei Ma |
| LPGraph | 2.1 | Nonparametric Smoothing of Laplacian Graph Spectra | Kaijun Wang |
| lphom | 0.3.5-5 | Ecological Inference by Linear Programming under Homogeneity | Jose M. Pavía |
| lpint | 2.1 | Local Polynomial Estimators of the Intensity Function and Its
Derivatives | Feng Chen |
| lpirfs | 0.2.3 | Local Projections Impulse Response Functions | Philipp Adämmer |
| LPKsample | 2.1 | LP Nonparametric High Dimensional K-Sample Comparison | Kaijun Wang |
| lpl | 0.11 | Local Partial Likelihood Estimation and Simultaneous Confidence
Band | Bingshu E. Chen |
| LPM | 3.0 | Linear Parametric Models Applied to Hydrological Series | Corrado Tallerini |
| lpme | 1.1.3 | Nonparametric Estimation of Measurement Error Models | Haiming Zhou |
| LPmerge | 1.7 | Merging Linkage Maps by Linear Programming | Jeffrey Endelman |
| LPower | 0.1.1 | Calculates Power, Sample Size, or Detectable Effect for
Longitudinal Analyses | David A. Schoenfeld |
| LPRelevance | 3.3 | Relevance-Integrated Statistical Inference Engine | Kaijun Wang |
| lpridge | 1.1-0 | Local Polynomial (Ridge) Regression | Martin Maechler |
| LPS | 1.0.16 | Linear Predictor Score, for Binary Inference from Multiple
Continuous Variables | Sylvain Mareschal |
| LPsmooth | 0.1.3 | LP Smoothed Inference and Graphics | Xiangyu Zhang |
| lpSolve | 5.6.20 | Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs | Gábor Csárdi |
| lpSolveAPI | 5.5.2.0-17.11 | R Interface to 'lp_solve' Version 5.5.2.0 | Florian Schwendinger |
| LPWC | 1.0.0 | Lag Penalized Weighted Correlation for Time Series Clustering | Thevaa Chandereng |
| LqG | 0.1.0 | Robust Group Variable Screening Based on Maximum Lq-Likelihood
Estimation | Rong Li |
| lqmix | 1.0 | Linear Quantile Mixture Models | Maria Francesca Marino |
| lqmm | 1.5.8 | Linear Quantile Mixed Models | Marco Geraci |
| lqr | 5.0 | Robust Linear Quantile Regression | Christian E. Galarza |
| LRcontrast | 1.0 | Dose Response Signal Detection under Model Uncertainty | Kevin Kokot |
| lrd | 0.1.0 | A Package for Processing Lexical Response Data | Nicholas Maxwell |
| LREP | 0.1.1 | Estimate and Test Exponential vs. Pareto Distributions | Jiqiang Wu |
| lrequire | 0.1.3 | Sources an R "Module" with Caching & Encapsulation, Returning
Exported Vars | Rick Wargo |
| lrgs | 0.5.4 | Linear Regression by Gibbs Sampling | Adam Mantz |
| lrmest | 3.0 | Different Types of Estimators to Deal with Multicollinearity | Ajith Dissanayake |
| LRMF3 | 0.1.0 | Low Rank Matrix Factorization S3 Objects | Alex Hayes |
| lrstat | 0.2.4 | Power and Sample Size Calculation for Non-Proportional Hazards
and Beyond | Kaifeng Lu |
| LRTesteR | 1.1.1 | Likelihood Ratio Tests and Confidence Intervals | Greg McMahan |
| LS2W | 1.3.6 | Locally Stationary Two-Dimensional Wavelet Process Estimation
Scheme | Idris Eckley |
| LS2Wstat | 2.1-5 | A Multiscale Test of Spatial Stationarity for LS2W Processes | Matt Nunes |
| lsa | 0.73.3 | Latent Semantic Analysis | Fridolin Wild |
| LSAfun | 0.7.1 | Applied Latent Semantic Analysis (LSA) Functions | Fritz Guenther |
| LSAmitR | 1.0-3 | Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit
R' | Thomas Kiefer |
| lsasim | 2.1.4 | Functions to Facilitate the Simulation of Large Scale Assessment
Data | Waldir Leoncio |
| lsbclust | 1.1 | Least-Squares Bilinear Clustering for Three-Way Data | Pieter Schoonees |
| lsbs | 0.1 | Bandwidth Selection for Level Sets and HDR Estimation | Guangwei Weng |
| LSD | 4.1-0 | Lots of Superior Depictions | Bjoern Schwalb |
| lsdbc | 0.1.0 | Locally Scaled Density Based Clustering | Fella Ulandari <16.9134 at stis.ac.id> |
| LSDinterface | 1.2.1 | Interface Tools for LSD Simulation Results Files | Marcelo C. Pereira |
| LSDirf | 0.1.3 | Impulse-Response Function Analysis for Agent-Based Models | Marcelo C. Pereira |
| LSDsensitivity | 1.2.3 | Sensitivity Analysis Tools for LSD Simulations | Marcelo C. Pereira |
| LSE | 1.0.0 | Constrained Least Squares and Generalized QR Factorization | Sergio Andrés Cabrera Miranda |
| lsei | 1.3-0 | Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints | Yong Wang |
| lsirm12pl | 1.3.1 | Latent Space Item Response Model | Jina Park |
| lsl | 0.5.6 | Latent Structure Learning | Po-Hsien Huang |
| lslx | 0.6.11 | Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood or Least Squares | Po-Hsien Huang |
| lsm | 0.2.1.2 | Estimation of the log Likelihood of the Saturated Model | Jorge Villalba |
| lsmeans | 2.30-0 | Least-Squares Means | Russell Lenth |
| LSMonteCarlo | 1.0 | American options pricing with Least Squares Monte Carlo method | Mikhail A. Beketov |
| LSMRealOptions | 0.2.1 | Value American and Real Options Through LSM Simulation | Thomas Aspinall |
| lsnstat | 1.0.0 | 'La Societe Nouvelle' API Access | Joris Blain |
| lspartition | 0.4 | Nonparametric Estimation and Inference Procedures using
Partitioning-Based Least Squares Regression | Yingjie Feng |
| LSPFP | 1.0.3 | Lysate and Secretome Peptide Feature Plotter | Gereon Poschmann |
| lspline | 1.0-0 | Linear Splines with Convenient Parametrisations | Michal Bojanowski |
| lspls | 0.2-2 | LS-PLS Models | Bjørn-Helge Mevik |
| lsr | 0.5.2 | Companion to "Learning Statistics with R" | Danielle Navarro |
| LSRS | 0.2.0 | Land Surface Remote Sensing | Mehdi Sarparast |
| lss2 | 1.1 | The Accelerated Failure Time Model to Right Censored Data Based
on Least-Squares Principle | Arvin Satwani |
| LST | 1.1.0 | Land Surface Temperature Retrieval for Landsat 8 | Bappa Das |
| LSTbook | 0.5.0 | Data and Software for "Lessons in Statistical Thinking" | Daniel Kaplan |
| LSTS | 2.1 | Locally Stationary Time Series | Mauricio Vargas |
| LSVAR | 1.2 | Estimation of Low Rank Plus Sparse Structured Vector
Auto-Regressive (VAR) Model | Peiliang Bai |
| LSWPlib | 0.1.0 | Simulation and Spectral Estimation of Locally Stationary Wavelet
Packet Processes | Alessandro Cardinali |
| LSX | 1.4.0 | Semi-Supervised Algorithm for Document Scaling | Kohei Watanabe |
| ltable | 2.0.3 | Easy to Make (Lazy) Tables | Ocheredko Oleksandr |
| LTAR | 0.1.0 | Tensor Forecasting Functions | Kyle Caudle |
| LTASR | 0.1.3 | Functions to Replicate the Center for Disease Control and
Prevention's 'LTAS' Software in R | Stephen Bertke |
| lterdatasampler | 0.1.1 | Educational Dataset Examples from the Long Term Ecological
Research Program | Allison Horst |
| lterpalettefinder | 1.1.0 | Extract Color Palettes from Photos and Pick Official LTER
Palettes | Nicholas J Lyon |
| ltertools | 1.0.0 | Tools Developed by the Long Term Ecological Research Community | Nicholas Lyon |
| LTFHPlus | 2.1.1 | Implementation of LT-FH++ | Emil Michael Pedersen |
| ltm | 1.2-0 | Latent Trait Models under IRT | Dimitris Rizopoulos |
| ltmix | 0.2.2 | Left-Truncated Mixtures of Gamma, Weibull, and Lognormal
Distributions | Martin Blostein |
| ltmle | 1.3-0 | Longitudinal Targeted Maximum Likelihood Estimation | Joshua Schwab |
| LTPDvar | 1.2.1 | LTPD and AOQL Plans for Acceptance Sampling Inspection by
Variables | Nikola Kasprikova |
| LTRCforests | 0.7.0 | Ensemble Methods for Survival Data with Time-Varying Covariates | Weichi Yao |
| LTRCtrees | 1.1.1 | Survival Trees to Fit Left-Truncated and Right-Censored and
Interval-Censored Survival Data | Wenbo Jing |
| ltsa | 1.4.6 | Linear Time Series Analysis | A.I. McLeod |
| ltsk | 1.1.1 | Local Time Space Kriging | Dong Liang |
| ltsspca | 0.1.0 | Sparse Principal Component Based on Least Trimmed Squares | Yixin Wang |
| ltxsparklines | 1.1.3 | Lightweight Sparklines for a LaTeX Document | Boris Veytsman |
| luajr | 0.1.6 | 'LuaJIT' Scripting | Nicholas Davies |
| lubridate | 1.9.3 | Make Dealing with Dates a Little Easier | Vitalie Spinu |
| luca | 1.0-6 | Likelihood Inference from Case-Control Data under Covariate
Assumptions | Ji-Hyung Shin |
| lucas | 1.0 | Package to Download and Create the DB of LUCAS Data Harmonized | Momchil Yordanov |
| lucid | 1.8 | Printing Floating Point Numbers in a Human-Friendly Format | Kevin Wright |
| LUCIDus | 3.0.1 | LUCID with Multiple Omics Data | Qiran Jia |
| ludic | 0.2.0 | Linkage Using Diagnosis Codes | Boris P Hejblum |
| lue | 0.2.1 | Light Use Efficiency Model to Estimate Biomass and YIELD with
and Without Vapour Pressure Deficit | Maninder Singh Dhillon |
| lulcc | 1.0.4 | Land Use Change Modelling in R | Simon Moulds |
| lumberjack | 1.3.1 | Track Changes in Data | Mark van der Loo |
| Luminescence | 0.9.23 | Comprehensive Luminescence Dating Data Analysis | Sebastian Kreutzer |
| lunar | 0.2-1 | Calculate Lunar Phase & Distance, Seasons and Related
Environmental Factors | Emmanuel Lazaridis |
| lutz | 0.3.2 | Look Up Time Zones of Point Coordinates | Andy Teucher |
| luz | 0.4.0 | Higher Level 'API' for 'torch' | Daniel Falbel |
| luzlogr | 0.2.1 | Lightweight Logging for R Scripts | Ben Bond-Lamberty |
| LVGP | 2.1.5 | Latent Variable Gaussian Process Modeling with Qualitative and
Quantitative Input Variables | Siyu Tao |
| lvmcomp | 1.2 | Stochastic EM Algorithms for Latent Variable Models with a
High-Dimensional Latent Space | Siliang Zhang |
| lvmisc | 0.1.2 | Veras Miscellaneous | Lucas Veras |
| lvnet | 0.3.5 | Latent Variable Network Modeling | Sacha Epskamp |
| lvplot | 0.2.1 | Letter Value 'Boxplots' | Hadley Wickham |
| LW1949 | 1.1.0 | An Automated Approach to Evaluating Dose-Effect Experiments
Following Litchfield and Wilcoxon (1949) | Jean V. Adams |
| LWFBrook90R | 0.5.3 | Simulate Evapotranspiration and Soil Moisture with the SVAT
Model LWF-Brook90 | Paul Schmidt-Walter |
| lwgeom | 0.2-14 | Bindings to Selected 'liblwgeom' Functions for Simple Features | Edzer Pebesma |
| lwqs | 0.5.0 | Lagged Weighted Quantile Sum Regression | Paul Curtin |
| LZeroSpikeInference | 1.0.3 | Exact Spike Train Inference via L0 Optimization | Sean Jewell |
| m2b | 1.0 | Movement to Behaviour Inference using Random Forest | Laurent Dubroca |
| m2r | 1.0.2 | Interface to 'Macaulay2' | David Kahle |
| M2SMF | 2.0 | Multi-Modal Similarity Matrix Factorization for Integrative
Multi-Omics Data Analysis | Xiaoyao Yin |
| M2SMJF | 1.0 | Multi-Modal Similarity Matrix Joint Factorization | Xiaoyao Yin |
| M3JF | 0.1.0 | Multi-Modal Matrix Joint Factorization for Integrative
Multi-Omics Data Analysis | Xiaoyao Yin |
| m5 | 0.1.1 | 'M5 Forecasting' Challenges Data | Krzysztof Joachimiak |
| m61r | 0.0.3 | Package About Data Manipulation in Pure Base R | Jean-Marie Lepioufle |
| MAAPER | 1.1.1 | Analysis of Alternative Polyadenylation Using 3' End-Linked
Reads | Wei Vivian Li |
| maat | 1.1.0 | Multiple Administrations Adaptive Testing | Seung W. Choi |
| mable | 3.1.3 | Maximum Approximate Bernstein/Beta Likelihood Estimation | Zhong Guan |
| MABOUST | 1.0.1 | Multi-Armed Bayesian Ordinal Utility-Based Sequential Trial | Andrew Chapple |
| MacBehaviour | 1.1.3 | Behavioural Studies of Large Language Models | Shixuan Li |
| macc | 1.0.1 | Mediation Analysis of Causality under Confounding | Yi Zhao |
| MACER | 0.2.1 | Molecular Acquisition, Cleaning, and Evaluation in R 'MACER' | Robert G Young |
| MachineShop | 3.7.0 | Machine Learning Models and Tools | Brian J Smith |
| macleish | 0.3.9 | Retrieve Data from MacLeish Field Station | Benjamin S. Baumer |
| maclogp | 0.1.1 | Measures of Uncertainty for Model Selection | Yuanyuan Li |
| MACP | 0.1.0 | Macromolecular Assemblies from Co-Elution Profile (MACP) | Matineh Rahmatbakhsh |
| macroBiome | 0.4.0 | A Tool for Mapping the Distribution of the Biomes and Bioclimate | Zoltán Szelepcsényi |
| macrocol | 0.1.0 | Colombian Macro-Financial Time Series Generator | Pedro Alejandro Cabra-Acela |
| macrosyntR | 0.3.3 | Draw Ordered Oxford Grids and Chord Diagrams | Sami El Hilali |
| MacroZooBenthosWaterA | 0.1.0 | Fresh Water Quality Analysis Based on Macrozoobenthos | Donard Geci |
| mactivate | 0.6.6 | Multiplicative Activation | Dave Zes |
| maczic | 1.0.0 | Mediation Analysis for Count and Zero-Inflated Count Data | Nancy Cheng |
| MAd | 0.8-3 | Meta-Analysis with Mean Differences | AC Del Re |
| mada | 0.5.11 | Meta-Analysis of Diagnostic Accuracy | Philipp Doebler |
| MadanText | 0.1.0 | Persian Text Mining Tool for Frequency Analysis, Statistical
Analysis, and Word Clouds | Kido Ishikawa |
| MadanTextNetwork | 0.1.0 | Persian Text Mining Tool for Co-Occurrence Network | Kido Ishikawa |
| maddison | 0.2 | The Maddison Project Database | Eric Persson |
| madgrad | 0.1.0 | 'MADGRAD' Method for Stochastic Optimization | Daniel Falbel |
| maditr | 0.8.4 | Fast Data Aggregation, Modification, and Filtering with Pipes
and 'data.table' | Gregory Demin |
| madness | 0.2.8 | Automatic Differentiation of Multivariate Operations | Steven E. Pav |
| MADPop | 1.1.7 | MHC Allele-Based Differencing Between Populations | Martin Lysy |
| madr | 1.0.0 | Model Averaged Double Robust Estimation | Matthew Cefalu |
| madrat | 3.6.4 | May All Data be Reproducible and Transparent (MADRaT) * | Jan Philipp Dietrich |
| madshapR | 1.0.3 | Support Technical Processes Following 'Maelstrom Research'
Standards | Guillaume Fabre |
| madsim | 1.2.1 | A Flexible Microarray Data Simulation Model | Doulaye Dembele |
| Maeswrap | 1.7 | Wrapper Functions for MAESTRA/MAESPA | Remko Duursma |
| magclass | 6.13.2 | Data Class and Tools for Handling Spatial-Temporal Data | Jan Philipp Dietrich |
| MAGEE | 1.3.2 | Mixed Model Association Test for GEne-Environment Interaction | Han Chen |
| magi | 1.2.2 | MAnifold-Constrained Gaussian Process Inference | Shihao Yang |
| magic | 1.6-1 | Create and Investigate Magic Squares | Robin K. S. Hankin |
| magicaxis | 2.4.5 | Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick
Support | Aaron Robotham |
| magicfor | 0.1.0 | Magic Functions to Obtain Results from for Loops | Koji Makiyama |
| magick | 2.8.3 | Advanced Graphics and Image-Processing in R | Jeroen Ooms |
| magickGUI | 1.3.1 | GUI Tools for Interactive Image Processing with 'magick' | Shota Ochi |
| magicLamp | 0.1.0 | 'WeMo Switch' Smart Plug Utilities | Simon Garnier |
| MAGMA.R | 1.0.1 | MAny-Group MAtching | Julian Urban |
| MagmaClustR | 1.2.0 | Clustering and Prediction using Multi-Task Gaussian Processes
with Common Mean | Arthur Leroy |
| magmaR | 1.0.3 | R-Client for Interacting with the 'UCSF Data Library' | Daniel Bunis |
| MAGNAMWAR | 2.0.4 | A Pipeline for Meta-Genome Wide Association | John Chaston |
| magree | 1.2 | Implements the O'Connell-Dobson-Schouten Estimators of Agreement
for Multiple Observers | Mark Clements |
| magrittr | 2.0.3 | A Forward-Pipe Operator for R | Lionel Henry |
| maGUI | 4.0 | A Graphical User Interface for Microarray Data Analysis and
Annotation | Dhammapal Bharne |
| maic | 0.1.4 | Matching-Adjusted Indirect Comparison | Rob Young |
| maicChecks | 0.1.2 | Assessing the Numerical Feasibility for Conducting a
Matching-Adjusted Indirect Comparison (MAIC) | Lillian Yau |
| mailchimpR | 0.1.0 | Get Mailchimp Data via the 'Windsor.ai' API | Pablo Sanchez |
| mailmerge | 0.2.5 | Mail Merge Using R Markdown Documents and 'gmailr' | Andrie de Vries |
| mailR | 0.8 | A Utility to Send Emails from R | Rahul Premraj |
| mailtoR | 0.1.0 | Creates a Friendly User Interface for Emails Sending in 'shiny' | Mohamed El Fodil Ihaddaden |
| MainExistingDatasets | 1.0.2 | Main Existing Human Datasets | Etienne Camenen |
| MAINT.Data | 2.7.1 | Model and Analyse Interval Data | Pedro Duarte Silva |
| MajKMeans | 0.1.0 | k-Means Algorithm with a Majorization-Minimization Method | Sheikhi Ayyub |
| makedummies | 1.2.1 | Create Dummy Variables from Categorical Data | Toshiaki Ara |
| MakefileR | 1.0 | Create 'Makefiles' Using R | Kirill Müller |
| makeFlow | 1.0.2 | Visualizing Sequential Classifications | Alex J. Krebs |
| makeit | 1.0.1 | Run R Scripts if Needed | Arni Magnusson |
| makemyprior | 1.2.1 | Intuitive Construction of Joint Priors for Variance Parameters | Ingeborg Hem |
| makePalette | 0.1.2 | Make Palette | Jorge L. C. Musaja |
| makepipe | 0.2.1 | Pipeline Tools Inspired by 'GNU Make' | Kinto Behr |
| makeProject | 1.0 | Creates an empty package framework for the LCFD format | Noah Silverman |
| maketools | 1.3.0 | Exploring and Testing the Toolchain and System Libraries | Jeroen Ooms |
| makeunique | 1.0.0 | Make Character Strings Unique | Sam El-Kamand |
| MAKL | 1.0.1 | Multiple Approximate Kernel Learning (MAKL) | Ayyüce Begüm Bektaş |
| malan | 1.0.3 | MAle Lineage ANalysis | Mikkel Meyer Andersen |
| malani | 1.0 | Machine Learning Assisted Network Inference | Mehrab Ghanat Bari |
| malariaAtlas | 1.5.1 | An R Interface to Open-Access Malaria Data, Hosted by the
'Malaria Atlas Project' | Mauricio van den Berg |
| malaytextr | 0.1.3 | Text Mining for Bahasa Malaysia | Zahier Nasrudin |
| maldipickr | 1.3.0 | Dereplicate and Cherry-Pick Mass Spectrometry Spectra | Charlie Pauvert |
| MALDIquant | 1.22.2 | Quantitative Analysis of Mass Spectrometry Data | Sebastian Gibb |
| MALDIquantForeign | 0.14.1 | Import/Export Routines for 'MALDIquant' | Sebastian Gibb |
| MALDIrppa | 1.1.0-2 | MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis | Javier Palarea-Albaladejo |
| mallet | 1.3.0 | An R Wrapper for the Java Mallet Topic Modeling Toolkit | Måns Magnusson |
| malvinas | 0.1.0 | Islas Malvinas, Georgias Del Sur y Sándwich Del Sur | Juan Cruz Rodriguez |
| MAMS | 2.0.1 | Designing Multi-Arm Multi-Stage Studies | Thomas Jaki |
| ManagedCloudProvider | 1.0.0 | Providing the Kubernetes-Like Functions for the Non-Kubernetes
Cloud Service | Jiefei Wang |
| managelocalrepo | 0.1.5 | Manage a CRAN-Style Local Repository | Imanuel Costigan |
| MANCIE | 1.4 | Matrix Analysis and Normalization by Concordant Information
Enhancement | Tao Wang |
| mand | 2.0 | Multivariate Analysis for Neuroimaging Data | Atsushi Kawaguchi |
| MandalaR | 0.1.0 | Building Mandalas from Parametric Equations of Classical Curves | Luciane Ferreira Alcoforado |
| mandelbrot | 0.2.0 | Generates Views on the Mandelbrot Set | Ben Moore |
| manet | 2.0 | Multiple Allocation Model for Actor-Event Networks | Veronica Vinciotti |
| Mangrove | 1.21 | Risk Prediction on Trees | Luke Jostins |
| manhattanly | 0.3.0 | Interactive Q-Q and Manhattan Plots Using 'plotly.js' | Sahir Bhatnagar |
| manhplot | 1.1 | The Manhattan++ Plot | Chris Grace |
| manifestoR | 1.5.0 | Access and Process Data and Documents of the Manifesto Project | Sven Regel |
| manifold | 0.1.1 | Operations for Riemannian Manifolds | Xiongtao Dai |
| ManifoldOptim | 1.0.1 | An R Interface to the 'ROPTLIB' Library for Riemannian Manifold
Optimization | Sean R. Martin |
| manipulate | 1.0.1 | Interactive Plots for RStudio | JJ Allaire |
| manipulateWidget | 0.11.1 | Add Even More Interactivity to Interactive Charts | Veronique Bachelier |
| ManlyMix | 0.1.15 | Manly Mixture Modeling and Model-Based Clustering | Xuwen Zhu |
| MAnorm2 | 1.2.2 | Tools for Normalizing and Comparing ChIP-seq Samples | Shiqi Tu |
| MANOVA.RM | 0.5.4 | Resampling-Based Analysis of Multivariate Data and Repeated
Measures Designs | Sarah Friedrich |
| manta | 1.0.1 | Multivariate Asymptotic Non-Parametric Test of Association | Diego Garrido-Martín |
| MantaID | 1.0.2 | A Machine-Learning Based Tool to Automate the Identification of
Biological Database IDs | Zeng Zhengpeng |
| manydata | 0.9.2 | A Portal for Global Governance Data | James Hollway |
| manymodelr | 0.3.7 | Build and Tune Several Models | Nelson Gonzabato |
| manymome | 0.1.14 | Mediation, Moderation and Moderated-Mediation After Model
Fitting | Shu Fai Cheung |
| manymome.table | 0.3.0 | Publication-Ready Tables for 'manymome' Results | Shu Fai Cheung |
| manynet | 0.4.4 | Many Ways to Make, Modify, Mark, and Map Myriad Networks | James Hollway |
| ManyTests | 1.2 | Multiple Testing Procedures of Cox (2011) and Wong and Cox
(2007) | Christiana Kartsonaki |
| MaOEA | 0.6.2 | Many Objective Evolutionary Algorithm | Dani Irawan |
| maotai | 0.2.5 | Tools for Matrix Algebra, Optimization and Inference | Kisung You |
| MAP | 0.1.3 | Multimodal Automated Phenotyping | Jiehuan Sun |
| Map2NCBI | 1.4 | Mapping Markers to the Nearest Genomic Feature | Lauren Hanna |
| MAPA | 2.0.7 | Multiple Aggregation Prediction Algorithm | Nikolaos Kourentzes |
| mapaccuracy | 0.1.2 | Unbiased Thematic Map Accuracy and Area | Hugo Costa |
| mapbayr | 0.10.0 | MAP-Bayesian Estimation of PK Parameters | Felicien Le Louedec |
| mapboxapi | 0.5.3 | R Interface to 'Mapbox' Web Services | Kyle Walker |
| mapboxer | 0.4.0 | An R Interface to 'Mapbox GL JS' | Stefan Kuethe |
| mapcan | 0.0.1 | Tools for Plotting Canadian Choropleth Maps and Choropleth
Alternatives | Andrew McCormack |
| mapchina | 0.1.0 | China Administrative Divisions Geospatial Shapefile Data | Mingchu Xu |
| mapdata | 2.3.1 | Extra Map Databases | Alex Deckmyn |
| mapdeck | 0.3.5 | Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl' | David Cooley |
| mapedit | 0.6.0 | Interactive Editing of Spatial Data in R | Tim Appelhans |
| mapfit | 1.0.0 | PH/MAP Parameter Estimation | Hiroyuki Okamura |
| MapGAM | 1.3 | Mapping Smoothed Effect Estimates from Individual-Level Data | Scott Bartell |
| mapi | 1.0.5 | Mapping Averaged Pairwise Information | Sylvain Piry |
| Mapinguari | 2.0.1 | Process-Based Biogeographical Analysis | Gabriel Caetano |
| mapiso | 0.3.0 | Create Contour Polygons from Regular Grids | Timothée Giraud |
| MAPITR | 1.1.2 | MArginal ePIstasis Test for Regions | Michael Turchin |
| maplegend | 0.1.0 | Legends for Maps | Timothée Giraud |
| mapme.biodiversity | 0.5.0 | Efficient Monitoring of Global Biodiversity Portfolios | Darius A. Görgen |
| mapping | 1.4.1 | Automatic Download, Linking, Manipulating Coordinates for Maps | Alessio Serafini |
| mappings | 0.1 | Functions for Transforming Categorical Variables | Benjamin Rich |
| mapplots | 1.5.2 | Data Visualisation on Maps | Hans Gerritsen |
| mappoly | 0.4.1 | Genetic Linkage Maps in Autopolyploids | Marcelo Mollinari |
| mappp | 1.0.0 | Map in Parallel with Progress | Cole Brokamp |
| mapproj | 1.2.11 | Map Projections | Alex Deckmyn |
| maps | 3.4.2 | Draw Geographical Maps | Alex Deckmyn |
| mapsapi | 0.5.4 | 'sf'-Compatible Interface to 'Google Maps' APIs | Michael Dorman |
| mapscanner | 0.0.6 | Print Maps, Draw on Them, Scan Them Back in | Mark Padgham |
| mapsf | 0.9.0 | Thematic Cartography | Timothée Giraud |
| mapsFinland | 0.2.2 | Maps of Finland | Jari Haukka |
| mapSpain | 0.9.0 | Administrative Boundaries of Spain | Diego Hernangómez |
| mapsPERU | 2.0.0 | Maps of Peru | Jorge L. C. Musaja |
| mapsRinteractive | 2.0.1 | Local Adaptation and Evaluation of Raster Maps | Kristin Persson |
| mapStats | 3.1 | Geographic Display of Survey Data Statistics | Samuel Ackerman |
| maptiles | 0.7.0 | Download and Display Map Tiles | Timothée Giraud |
| maptpx | 1.9-7 | MAP Estimation of Topic Models | Matt Taddy |
| maptree | 1.4-8 | Mapping, Pruning, and Graphing Tree Models | Robert B. Gramacy |
| mapview | 2.11.2 | Interactive Viewing of Spatial Data in R | Tim Appelhans |
| maq | 0.3.1 | Multi-Armed Qini | Erik Sverdrup |
| mAr | 1.2-0 | Multivariate AutoRegressive Analysis | S. M. Barbosa |
| mar1s | 2.1.1 | Multiplicative AR(1) with Seasonal Processes | Andrey Paramonov |
| maraca | 0.7 | The Maraca Plot: Visualization of Hierarchical Composite
Endpoints in Clinical Trials | Monika Huhn |
| marble | 0.0.3 | Robust Marginal Bayesian Variable Selection for Gene-Environment
Interactions | Xi Lu |
| march | 3.3.2 | Markov Chains | Andre Berchtold |
| marcher | 0.0-2 | Migration and Range Change Estimation in R | Eliezer Gurarie |
| marelac | 2.1.11 | Tools for Aquatic Sciences | Karline Soetaert |
| MareyMap | 1.3.7 | Estimation of Meiotic Recombination Rates Using Marey Maps | Aurélie Siberchicot |
| marg | 1.2-2.1 | Approximate Marginal Inference for Regression-Scale Models | Alessandra R. Brazzale |
| margaret | 0.1.4 | Scientometric Analysis Minciencias | Bryan Arias |
| MargCond | 1.0.0 | Joint Marginal-Conditional Model | James Proudfoot |
| marginaleffects | 0.18.0 | Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
Tests | Vincent Arel-Bundock |
| marginalizedRisk | 2024.1-27 | Estimating Marginalized Risk | Youyi Fong |
| MarginalMediation | 0.7.2 | Marginal Mediation | Tyson S Barrett |
| margins | 0.3.26.1 | Marginal Effects for Model Objects | Thomas J. Leeper |
| marima | 2.2 | Multivariate ARIMA and ARIMA-X Analysis | Henrik Spliid |
| mark | 0.7.0 | Miscellaneous, Analytic R Kernels | Jordan Mark Barbone |
| markdown | 1.12 | Render Markdown with 'commonmark' | Yihui Xie |
| markdownInput | 0.1.2 | Shiny Module for a Markdown Input with Result Preview | Julien Diot |
| marked | 1.2.8 | Mark-Recapture Analysis for Survival and Abundance Estimation | Jeff Laake |
| markerpen | 0.1.1 | Marker Gene Detection via Penalized Principal Component Analysis | Yixuan Qiu |
| MarketMatching | 1.2.1 | Market Matching and Causal Impact Inference | Larsen Kim |
| marketr | 0.0.2 | Tidy Calculation of Marketing Metrics Plus Quick Analysis | Chris Umphlett |
| markets | 1.1.5 | Estimation Methods for Markets in Equilibrium and Disequilibrium | Pantelis Karapanagiotis |
| markmyassignment | 0.8.8 | Automatic Marking of R Assignments | Mans Magnusson |
| markophylo | 1.0.9 | Markov Chain Models for Phylogenetic Trees | Utkarsh J. Dang |
| markovchain | 0.9.5 | Easy Handling Discrete Time Markov Chains | Giorgio Alfredo Spedicato |
| Markovchart | 2.1.5 | Markov Chain-Based Cost-Optimal Control Charts | Balazs Dobi |
| markovmix | 0.1.3 | Mixture of Markov Chains with Support of Higher Orders and
Multiple Sequences | Xiurui Zhu |
| markovMSM | 0.1.3 | Methods for Checking the Markov Condition in Multi-State
Survival Data | Gustavo Soutinho |
| MarkowitzR | 1.0.3 | Statistical Significance of the Markowitz Portfolio | Steven E. Pav |
| marmap | 1.0.10 | Import, Plot and Analyze Bathymetric and Topographic Data | Benoit Simon-Bouhet |
| MARMoT | 0.0.4 | Matching on Poset-Based Average Rank for Multiple Treatments
(MARMoT) | Alberto Calore |
| marp | 0.1.0 | Model-Averaged Renewal Process | Jie Kang |
| marqLevAlg | 2.0.8 | A Parallelized General-Purpose Optimization Based on
Marquardt-Levenberg Algorithm | Viviane Philipps |
| marradistrees | 1.0 | Plots a Tree-Like Representation of a Numerical Variable
(Marradi's Tree) | Massimo Cannas |
| MARSANNhybrid | 0.1.0 | MARS Based ANN Hybrid Model | Pankaj Das |
| MARSGWR | 0.1.0 | A Hybrid Spatial Model for Capturing Spatially Varying
Relationships Between Variables in the Data | Nobin Chandra Paul |
| MARSS | 3.11.9 | Multivariate Autoregressive State-Space Modeling | Elizabeth Eli Holmes |
| MARSSVRhybrid | 0.1.0 | MARS SVR Hybrid | Pankaj Das |
| MARVEL | 1.4.0 | Revealing Splicing Dynamics at Single-Cell Resolution | Sean Wen |
| MarZIC | 1.0.0 | Marginal Mediation Effects with Zero-Inflated Compositional
Mediator | Zhigang Li |
| mas | 0.3 | Marker Association Studies | Alencar Xavier |
| maSAE | 2.0.3 | Mandallaz' Model-Assisted Small Area Estimators | Andreas Dominik Cullmann |
| mase | 0.1.5.2 | Model-Assisted Survey Estimators | Kelly McConville |
| mashr | 0.2.79 | Multivariate Adaptive Shrinkage | Peter Carbonetto |
| maskRangeR | 1.1 | Mask Species Geographic Ranges | Cory Merow |
| MASS | 7.3-60.0.1 | Support Functions and Datasets for Venables and Ripley's MASS | Brian Ripley |
| masscor | 0.0.7.1 | Mass Measurement Corrections | Cristhian Paredes |
| MASSExtra | 1.2.2 | Some 'MASS' Enhancements | Bill Venables |
| Massign | 1.1.0 | Simple Matrix Construction | Erik-Jan van Kesteren |
| massiveGST | 1.2.3 | Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test | Stefano Maria Pagnotta |
| MASSTIMATE | 2.0-1 | Body Mass Estimation Equations for Vertebrates | Nicolas E. Campione |
| MassWateR | 2.1.4 | Quality Control and Analysis of Massachusetts Water Quality Data | Marcus Beck |
| mastif | 2.3 | Mast Inference and Forecasting | James S. Clark |
| MAT | 2.3.1 | Multidimensional Adaptive Testing | Seung W. Choi |
| MATA | 0.7.1 | Model-Averaged Tail Area (MATA) Confidence Interval and
Distribution | Daniel Turek |
| matahari | 0.1.3 | Spy on Your R Session | Sean Kross |
| match2C | 1.2.4 | Match One Sample using Two Criteria | Bo Zhang |
| matchFeat | 1.0 | One-to-One Feature Matching | David Degras |
| MatchGATE | 0.0.10 | Estimate Group Average Treatment Effects with Matching | Zhaoqing Tian |
| Matching | 4.10-14 | Multivariate and Propensity Score Matching with Balance
Optimization | Jasjeet Singh Sekhon |
| matchingMarkets | 1.0-4 | Analysis of Stable Matchings | Thilo Klein |
| matchingR | 1.3.3 | Matching Algorithms in R and C++ | Jan Tilly |
| MatchIt | 4.5.5 | Nonparametric Preprocessing for Parametric Causal Inference | Noah Greifer |
| MatchLinReg | 0.8.1 | Combining Matching and Linear Regression for Causal Inference | Alireza S. Mahani |
| matchmaker | 0.1.1 | Flexible Dictionary-Based Cleaning | Zhian N. Kamvar |
| matchr | 0.1.0 | Pattern Matching and Enumerated Types in R | Christopher Mann |
| MatchThem | 1.2.1 | Matching and Weighting Multiply Imputed Datasets | Farhad Pishgar |
| matconv | 0.4.2 | A Code Converter from the Matlab/Octave Language to R | Siddarta Jairam |
| mateable | 0.3.2 | Assess Mating Potential in Space and Time | Stuart Wagenius |
| materialmodifier | 1.2.0 | Apply Photo Editing Effects | Hiroyuki Tsuda |
| mathjaxr | 1.6-0 | Using 'Mathjax' in Rd Files | Wolfgang Viechtbauer |
| mathml | 1.2 | Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax' | Matthias Gondan |
| mathpix | 0.6.0 | Support for the 'Mathpix' API (Image to 'LaTeX') | Jonathan Carroll |
| matlab2r | 1.5.0 | Translation Layer from MATLAB to R | Waldir Leoncio |
| matlabr | 1.5.2 | An Interface for MATLAB using System Calls | John Muschelli |
| matlib | 0.9.6 | Matrix Functions for Teaching and Learning Linear Algebra and
Multivariate Statistics | Michael Friendly |
| matman | 1.1.3 | Material Management | Leon Binder |
| matpow | 0.1.2 | Matrix Powers | Norm Matloff |
| matrans | 0.1.0 | Model Averaging-Assisted Optimal Transfer Learning | Xiaonan Hu |
| matricks | 0.8.2 | Useful Tricks for Matrix Manipulation | Krzysztof Joachimiak |
| matRiks | 0.1.3 | Generates Raven-Like Matrices According to Rules | Andrea Brancaccio |
| matrisk | 0.1.0 | Macroeconomic-at-Risk | Quentin Lajaunie |
| Matrix | 1.6-5 | Sparse and Dense Matrix Classes and Methods | Martin Maechler |
| matrixcalc | 1.0-6 | Collection of Functions for Matrix Calculations | S. Thomas Kelly |
| MatrixCorrelation | 0.10.0 | Matrix Correlation Coefficients | Kristian Hovde Liland |
| matrixcut | 0.0.1 | Determines Clustering Threshold Based on Similarity Values | Matthew Cserhati |
| matrixdist | 1.1.9 | Statistics for Matrix Distributions | Martin Bladt |
| MatrixEQTL | 2.3 | Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix
Operations | Andrey A Shabalin |
| MatrixExtra | 0.1.15 | Extra Methods for Sparse Matrices | David Cortes |
| matrixLaplacian | 1.0 | Normalized Laplacian Matrix and Laplacian Map | Tianhao Wu |
| MatrixLDA | 0.2 | Penalized Matrix-Normal Linear Discriminant Analysis | Aaron J. Molstad |
| MatrixMixtures | 1.0.0 | Model-Based Clustering via Matrix-Variate Mixture Models | Michael P.B. Gallaugher |
| MatrixModels | 0.5-3 | Modelling with Sparse and Dense Matrices | Martin Maechler |
| matrixNormal | 0.1.1 | The Matrix Normal Distribution | Paul M. Hargarten |
| matrixProfile | 0.5.0 | Matrix Profile | Donghwan Kim |
| matrixprofiler | 0.1.9 | Matrix Profile for R | Francisco Bischoff |
| matrixsampling | 2.0.0 | Simulations of Matrix Variate Distributions | Stéphane Laurent |
| matrixset | 0.3.0 | Creating, Manipulating and Annotating Matrix Ensemble | Pascal Croteau |
| matrixStats | 1.2.0 | Functions that Apply to Rows and Columns of Matrices (and to
Vectors) | Henrik Bengtsson |
| matrixStrucTest | 1.0.0 | Tests of Matrix Structure for Construct Validation | Brian D. Segal |
| matrixTests | 0.2.3 | Fast Statistical Hypothesis Tests on Rows and Columns of
Matrices | Karolis Koncevičius |
| matsbyname | 0.6.10 | An Implementation of Matrix Mathematics that Respects Row and
Column Names | Matthew Heun |
| matsindf | 0.4.8 | Matrices in Data Frames | Matthew Heun |
| MatSkew | 0.1.5 | Matrix Skew-T Parameter Estimation | Michael P.B. Gallaugher |
| matuR | 0.0.1.0 | Athlete Maturation and Biobanding | Jose Fernandez |
| mau | 0.1.2 | Decision Models with Multi Attribute Utility Theory | Pedro Guarderas |
| MAVE | 1.3.11 | Methods for Dimension Reduction | Hang Weiqiang |
| maxcombo | 1.0 | The Group Sequential Max-Combo Test for Comparing Survival
Curves | Tom Prior |
| MaxentVariableSelection | 1.0-3 | Selecting the Best Set of Relevant Environmental Variables along
with the Optimal Regularization Multiplier for Maxent Niche
Modeling | "Alexander Jueterbock" |
| maximin | 1.0-5 | Space-Filling Design under Maximin Distance | Furong Sun |
| MaximinInfer | 2.0.0 | Inference for Maximin Effects in High-Dimensional Settings | Zhenyu Wang |
| maxLik | 1.5-2.1 | Maximum Likelihood Estimation and Related Tools | Ott Toomet |
| maxlike | 0.1-11 | Model Species Distributions by Estimating the Probability of
Occurrence Using Presence-Only Data | Roeland Kindt |
| maxmatching | 0.1.0 | Maximum Matching for General Weighted Graph | Bowen Deng |
| maxnet | 0.1.4 | Fitting 'Maxent' Species Distribution Models with 'glmnet' | Steven Phillips |
| maxnodf | 1.0.0 | Approximate Maximisation of Nestedness in Bipartite Graphs | Christoph Hoeppke |
| MaxPro | 4.1-2 | Maximum Projection Designs | Shan Ba |
| MaxSkew | 1.1 | Orthogonal Data Projections with Maximal Skewness | Cinzia Franceschini |
| maxstat | 0.7-25 | Maximally Selected Rank Statistics | Torsten Hothorn |
| maybe | 1.1.0 | The Maybe Monad | Andrew McNeil |
| MazamaCoreUtils | 0.5.2 | Utility Functions for Production R Code | Jonathan Callahan |
| MazamaLocationUtils | 0.4.3 | Manage Spatial Metadata for Known Locations | Jonathan Callahan |
| MazamaRollUtils | 0.1.3 | Efficient Rolling Functions | Jonathan Callahan |
| MazamaSpatialPlots | 0.2.0 | Thematic Plots for Mazama Spatial Datasets | Jonathan Callahan |
| MazamaSpatialUtils | 0.8.6 | Spatial Data Download and Utility Functions | Jonathan Callahan |
| MazamaTimeSeries | 0.3.0 | Core Functionality for Environmental Time Series | Jonathan Callahan |
| MAZE | 0.0.2 | Mediation Analysis for Zero-Inflated Mediators | Meilin Jiang |
| mazealls | 0.2.0 | Generate Recursive Mazes | Steven E. Pav |
| mazeGen | 0.1.3 | Elithorn Maze Generator | Bao Sheng Loe (Aiden) |
| mazeinda | 0.0.2 | Monotonic Association on Zero-Inflated Data | Alice Albasi |
| mazing | 1.0.5 | Utilities for Making and Plotting Mazes | Kelly Street |
| MB | 0.1.1 | The Use of Marginal Distributions in Conditional Forecasting | Bushra Alsaeed |
| MBA | 0.1-0 | Multilevel B-Spline Approximation | Andrew Finley |
| MBAnalysis | 2.0.2 | Multiblock Exploratory and Predictive Data Analysis | Benjamin Mahieu |
| mbbe | 0.1.0 | Model Based Bio-Equivalence | Mark Sale |
| mbbefd | 0.8.11 | Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and
Destruction Rate Modelling | Christophe Dutang |
| MBC | 0.10-6 | Multivariate Bias Correction of Climate Model Outputs | Alex J. Cannon |
| mbend | 1.3.1 | Matrix Bending | Mohammad Ali Nilforooshan |
| MBESS | 4.9.3 | The MBESS R Package | Ken Kelley |
| mbest | 0.6 | Moment-Based Estimation for Hierarchical Models | Patrick O. Perry |
| MBHdesign | 2.3.15 | Spatial Designs for Ecological and Environmental Surveys | Scott Foster |
| mbir | 1.3.5 | Magnitude-Based Inferences | Kyle Peterson |
| mblm | 0.12.1 | Median-Based Linear Models | Lukasz Komsta |
| MBmca | 1.0.1-3 | Nucleic Acid Melting Curve Analysis | Stefan Roediger |
| MBMethPred | 0.1.4.2 | Medulloblastoma Subgroups Prediction | Edris Sharif Rahmani |
| mbmixture | 0.4 | Microbiome Mixture Analysis | Karl W Broman |
| MBNMAdose | 0.4.2 | Dose-Response MBNMA Models | Hugo Pedder |
| MBNMAtime | 0.2.4 | Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models | Hugo Pedder |
| mboost | 2.9-9 | Model-Based Boosting | Torsten Hothorn |
| mbr | 0.0.1 | Mass Balance Reconstruction | Hung Nguyen |
| mbrdr | 1.1.1 | Model-Based Response Dimension Reduction | Jae Keun Yoo |
| mbreaks | 1.0.0 | Estimation and Inference for Structural Breaks in Linear
Regression Models | Linh Nguyen |
| mbRes | 0.1.7 | Exploration of Multiple Biomarker Responses using Effect Size | Duy Nghia Pham |
| mbrglm | 0.0.1 | Median Bias Reduction in Binomial-Response GLMs | Euloge C. Kenne Pagui |
| MBSGS | 1.1.0 | Multivariate Bayesian Sparse Group Selection with Spike and Slab | Benoit Liquet |
| MBSP | 4.0 | Multivariate Bayesian Model with Shrinkage Priors | Ray Bai |
| mbsts | 3.0 | Multivariate Bayesian Structural Time Series | Ning Ning |
| mBvs | 1.6 | Bayesian Variable Selection Methods for Multivariate Data | Kyu Ha Lee |
| mc.heterogeneity | 0.1.2 | A Monte Carlo Based Heterogeneity Test for Meta-Analysis | Ge Jiang |
| mc2d | 0.2.0 | Tools for Two-Dimensional Monte-Carlo Simulations | Regis Pouillot |
| MCARtest | 1.2.1 | Optimal Nonparametric Testing of Missing Completely at Random | Thomas B. Berrett |
| mcauchyd | 1.2.0 | Multivariate Cauchy Distribution; Kullback-Leibler Divergence | Pierre Santagostini |
| MCAvariants | 2.6.1 | Multiple Correspondence Analysis Variants | Rosaria Lombardo |
| mcb | 0.1.15 | Model Confidence Bounds | Heming Deng |
| MCBackscattering | 0.1.1 | Monte Carlo Simulation for Surface Backscattering | Laszlo Baranyai |
| mcbiopi | 1.1.6 | Matrix Computation Based Identification of Prime Implicants | Holger Schwender |
| mcboost | 0.4.2 | Multi-Calibration Boosting | Florian Pfisterer |
| mcca | 0.7.0 | Multi-Category Classification Accuracy | Ming Gao |
| mccca | 1.1.0.1 | Visualizing Class Specific Heterogeneous Tendencies in
Categorical Data | Mariko Takagishi |
| mccf1 | 1.1 | Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and
the Best Threshold | Chang Cao |
| mcclust | 1.0.1 | Process an MCMC Sample of Clusterings | Arno Fritsch |
| mccmeiv | 2.1 | Analysis of Matched Case Control Data with a Mismeasured
Exposure that is Accompanied by Instrumental Variables | Chris M Manuel |
| mccr | 0.4.4 | The Matthews Correlation Coefficient | Hitoshi Iuchi |
| MCDA | 0.1.0 | Support for the Multicriteria Decision Aiding Process | David Palma |
| mcemGLM | 1.1.3 | Maximum Likelihood Estimation for Generalized Linear Mixed
Models | Felipe Acosta Archila |
| mcen | 1.2.1 | Multivariate Cluster Elastic Net | Ben Sherwood |
| mcga | 3.0.7 | Machine Coded Genetic Algorithms for Real-Valued Optimization
Problems | Mehmet Hakan Satman |
| mcgf | 1.1.0 | Markov Chain Gaussian Fields Simulation and Parameter Estimation | Tianxia Jia |
| mcgibbsit | 1.2.2 | Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence
Diagnostic | Gregory R. Warnes |
| MChtest | 1.0-3 | Monte Carlo Hypothesis Tests with Sequential Stopping | Michael P. Fay |
| MCI | 1.3.3 | Multiplicative Competitive Interaction (MCI) Model | Thomas Wieland |
| MCID | 0.1.0 | Estimating the Minimal Clinically Important Difference | Zehua Zhou |
| MCL | 1.0 | Markov Cluster Algorithm | Ronja Foraita |
| mclm | 0.2.7 | Mastering Corpus Linguistics Methods | Mariana Montes |
| mclogit | 0.9.6 | Multinomial Logit Models, with or without Random Effects or
Overdispersion | Martin Elff |
| mclust | 6.1 | Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation | Luca Scrucca |
| mclustAddons | 0.8 | Addons for the 'mclust' Package | Luca Scrucca |
| mclustcomp | 0.3.3 | Measures for Comparing Clusters | Kisung You |
| MCM | 0.1.7 | Estimating and Testing Intergenerational Social Mobility Effect | Jiahui Xu |
| mcmc | 0.9-8 | Markov Chain Monte Carlo | Charles J. Geyer |
| MCMC.OTU | 1.0.10 | Bayesian Analysis of Multivariate Counts Data in DNA
Metabarcoding and Ecology | Mikhail V. Matz |
| MCMC.qpcr | 1.2.4 | Bayesian Analysis of qRT-PCR Data | Mikhail V. Matz |
| MCMC4Extremes | 1.1 | Posterior Distribution of Extreme Value Models in R | Fernando Ferraz do Nascimento |
| mcmcderive | 0.1.2 | Derive MCMC Parameters | Joe Thorley |
| mcmcensemble | 3.1.0 | Ensemble Sampler for Affine-Invariant MCMC | Hugo Gruson |
| MCMCglmm | 2.35 | MCMC Generalised Linear Mixed Models | Jarrod Hadfield |
| mcmcOutput | 0.1.3 | Functions to Store, Manipulate and Display Markov Chain Monte
Carlo (MCMC) Output | Ngumbang Juat |
| MCMCpack | 1.7-0 | Markov Chain Monte Carlo (MCMC) Package | Jong Hee Park |
| mcmcplots | 0.4.3 | Create Plots from MCMC Output | S. McKay Curtis |
| MCMCprecision | 0.4.0 | Precision of Discrete Parameters in Transdimensional MCMC | Daniel W. Heck |
| mcmcr | 0.6.1 | Manipulate MCMC Samples | Joe Thorley |
| mcmcsae | 0.7.7 | Markov Chain Monte Carlo Small Area Estimation | Harm Jan Boonstra |
| mcmcse | 1.5-0 | Monte Carlo Standard Errors for MCMC | Dootika Vats |
| MCMCtreeR | 1.1 | Prepare MCMCtree Analyses and Plot Bayesian Divergence Time
Analyses Estimates on Trees | Mark Puttick |
| MCMCvis | 0.16.3 | Tools to Visualize, Manipulate, and Summarize MCMC Output | Casey Youngflesh |
| mcMST | 1.1.1 | A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem | Jakob Bossek |
| mcmsupply | 1.1.1 | Estimating Public and Private Sector Contraceptive Market Supply
Shares | Hannah Comiskey |
| mco | 1.16 | Multiple Criteria Optimization Algorithms and Related Functions | Olaf Mersmann |
| MCOE | 0.4.0 | Creates New Folders and Loads Standard Practices for Monterey
County Office of Education | David Dobrowski |
| Mcomp | 2.8 | Data from the M-Competitions | Rob Hyndman |
| mcompanion | 0.6 | Objects and Methods for Multi-Companion Matrices | Georgi N. Boshnakov |
| mcount | 1.0.0 | Marginalized Count Regression Models | Zhengyang Zhou |
| mcp | 0.3.4 | Regression with Multiple Change Points | Jonas Kristoffer Lindeløv |
| MCPAN | 1.1-21 | Multiple Comparisons Using Normal Approximation | Frank Schaarschmidt |
| mcparallelDo | 1.1.0 | A Simplified Interface for Running Commands on Parallel
Processes | Russell S. Pierce |
| MCPMod | 1.0-10.1 | Design and Analysis of Dose-Finding Studies | Bjoern Bornkamp |
| MCPModBC | 1.1 | Improved Inference in Multiple Comparison Procedure – Modelling | Diego Gallardo |
| MCPModGeneral | 0.1-1 | A Supplement to the 'DoseFinding' Package for the General Case | Ian Laga |
| MCPModPack | 0.5 | Simulation-Based Design and Analysis of Dose-Finding Trials | Alex Dmitrienko |
| mcprofile | 1.0-1 | Testing Generalized Linear Hypotheses for Generalized Linear
Model Parameters by Profile Deviance | Daniel Gerhard <00gerhard at gmail.com> |
| MCPtests | 1.0.1 | Multiples Comparisons Procedures | Ben Deivide |
| mcr | 1.3.3 | Method Comparison Regression | Sergej Potapov |
| mcradds | 1.1.0 | Processing and Analyzing of Diagnostics Trials | Kai Gu |
| mcreplicate | 0.1.2 | Multi-Core Replicate | Christopher Gandrud |
| MCS | 0.1.3 | Model Confidence Set Procedure | Leopoldo Catania |
| MCSim | 1.0 | Determine the Optimal Number of Clusters | Ahmed N. Albatineh |
| mcStats | 0.1.2 | Visualize Results of Statistical Hypothesis Tests | Michael Czekanski |
| mctest | 1.3.1 | Multicollinearity Diagnostic Measures | Imdad Ullah Muhammad |
| mctq | 0.3.2 | Tools to Process the Munich ChronoType Questionnaire (MCTQ) | Daniel Vartanian |
| MCTrend | 1.0.1 | Monte Carlo Trend Analysis | Alonso Arriagada |
| mcunit | 0.3.2 | Unit Tests for MC Methods | Axel Gandy |
| mcvis | 1.0.8 | Multi-Collinearity Visualization | Kevin Wang |
| mcwr | 1.0.0 | Markov Chains with Rewards | Daniel Schneider |
| md | 1.0.4 | Selecting Bandwidth for Kernel Density Estimator with Minimum
Distance Method | Genzo Kaga |
| md.log | 0.2.0 | Produces Markdown Log File with a Built-in Function Call | E. F. Haghish |
| md4r | 0.5.2.0 | Markdown Parser Implemented using the 'MD4C' Library | Colin Rundel |
| mda | 0.5-4 | Mixture and Flexible Discriminant Analysis | Trevor Hastie |
| mDAG | 1.2.2 | Inferring Causal Network from Mixed Observational Data Using a
Directed Acyclic Graph | Wujuan Zhong |
| mdatools | 0.14.1 | Multivariate Data Analysis for Chemometrics | Sergey Kucheryavskiy |
| MDBED | 1.0.0 | Moran-Downton Bivariate Exponential Distribution | Luis F. Duque |
| mdbr | 0.2.1 | Work with Microsoft Access Files | Kiernan Nicholls |
| mde | 0.3.2 | Missing Data Explorer | Nelson Gonzabato |
| mded | 0.1-2 | Measuring the Difference Between Two Empirical Distributions | Hideo Aizaki |
| MDEI | 1.0 | Implementing the Method of Direct Estimation and Inference | Marc Ratkovic |
| mdendro | 2.2.1 | Extended Agglomerative Hierarchical Clustering | Alberto Fernandez |
| MDFS | 1.5.3 | MultiDimensional Feature Selection | Radosław Piliszek |
| mdftracks | 0.2.2 | Read and Write 'MTrackJ Data Files' | Gerhard Burger |
| mdgc | 0.1.7 | Missing Data Imputation Using Gaussian Copulas | Benjamin Christoffersen |
| mdhglm | 1.8 | Multivariate Double Hierarchical Generalized Linear Models | Maengseok Noh |
| MDimNormn | 0.8.0 | Multi-Dimensional MA Normalization for Plate Effect | Mun-Gwan Hong |
| mdir.logrank | 0.0.4 | Multiple-Direction Logrank Test | Sarah Friedrich |
| MDMAPR | 0.2.3 | Molecular Detection Mapping and Analysis Platform | Alka Benawra |
| mdmb | 1.8-7 | Model Based Treatment of Missing Data | Alexander Robitzsch |
| MDMR | 0.5.1 | Multivariate Distance Matrix Regression | Daniel B. McArtor |
| MDOLS | 1.0 | Inference of Quadratic Functional for Moderate-Dimensional OLS | Xiao Guo |
| mdpeer | 1.0.1 | Graph-Constrained Regression with Enhanced Regularization
Parameters Selection | Marta Karas |
| MDplot | 1.0.1 | Visualising Molecular Dynamics Analyses | Christian Margreitter |
| MDPtoolbox | 4.0.3 | Markov Decision Processes Toolbox | Guillaume Chapron |
| mds | 0.3.2 | Medical Devices Surveillance | Gary Chung |
| mdscore | 0.1-3 | Improved Score Tests for Generalized Linear Models | Antonio Hermes M. da Silva-Junior |
| MDSGUI | 0.1.6 | A GUI for interactive MDS in R | Andrew Timm |
| MDSMap | 1.1 | High Density Genetic Linkage Mapping using Multidimensional
Scaling | Bram Boskamp |
| mdsOpt | 0.7-6 | Searching for Optimal MDS Procedure for Metric and
Interval-Valued Data | Andrzej Dudek |
| MDSPCAShiny | 0.1.0 | Interactive Document for Working with Multidimensional Scaling
and Principal Component Analysis | Kartikeya Bolar |
| mdsr | 0.2.7 | Complement to 'Modern Data Science with R' | Benjamin S. Baumer |
| MDSS | 1.0-1 | Modeling Human Dentin Serial Sectioning | Takumi Tsutaya |
| mdw | 2020.6-17 | Maximum Diversity Weighting | Youyi Fong |
| meanr | 0.1-6 | Sentiment Analysis Scorer | Drew Schmidt |
| meanShiftR | 0.56 | A Computationally Efficient Mean Shift Implementation | Jonathan Lisic |
| meantables | 0.1.2 | Make Quick Descriptive Tables for Continuous Variables | Brad Cannell |
| measr | 1.0.0 | Bayesian Psychometric Measurement Using 'Stan' | W. Jake Thompson |
| measurementProtocol | 0.1.1 | Send Data from R to the Measurement Protocol | Mark Edmondson |
| measurements | 1.5.1 | Tools for Units of Measurement | Matthew A. Birk |
| measures | 0.3 | Performance Measures for Statistical Learning | Philipp Probst |
| measuRing | 0.5 | Detection and Control of Tree-Ring Widths on Scanned Image
Sections | Wilson Lara |
| meboot | 1.4-9.4 | Maximum Entropy Bootstrap for Time Series | Fred Viole |
| MEclustnet | 1.2.2 | Fit the Mixture of Experts Latent Position Cluster Model to
Network Data | Isobel Claire Gormley |
| meconetcomp | 0.5.0 | Compare Microbial Networks of 'trans_network' Class of
'microeco' Package | Chi Liu |
| mecor | 1.0.0 | Measurement Error Correction in Linear Models with a Continuous
Outcome | Linda Nab |
| mecoturn | 0.3.0 | Decipher Microbial Turnover along a Gradient | Chi Liu |
| MED | 0.1.0 | Mediation by Tilted Balancing | Gary Chan |
| MedDietCalc | 0.1.1 | Multi Calculator to Compute Scores of Adherence to Mediterranean
Diet | Miguel Menendez |
| mederrRank | 0.1.0 | Bayesian Methods for Identifying the Most Harmful Medication
Errors | Sergio Venturini |
| medExtractR | 0.4.1 | Extraction of Medication Information from Clinical Text | Leena Choi |
| medfate | 3.2.0 | Mediterranean Forest Simulation | Miquel De Cáceres |
| medflex | 0.6-10 | Flexible Mediation Analysis Using Natural Effect Models | Johan Steen |
| mediacloudr | 0.1.0 | Wrapper for the 'mediacloud.org' API | Dix Jan |
| MediaK | 1.0 | Calculate MeDiA_K Distance | Zizhuo Ren |
| Mediana | 1.0.8 | Clinical Trial Simulations | Gautier Paux |
| MedianaDesigner | 0.13 | Power and Sample Size Calculations for Clinical Trials | Alex Dmitrienko |
| MediaNews | 0.2.1 | Media News Extraction for Text Analysis | Vatsal Aima |
| mediateP | 0.2.0 | Mediation Analysis Based on the Product Method | Chao Cheng |
| mediation | 4.5.0 | Causal Mediation Analysis | Teppei Yamamoto |
| mediationsens | 0.0.3 | Simulation-Based Sensitivity Analysis for Causal Mediation
Studies | Xu Qin |
| medicaldata | 0.2.0 | Data Package for Medical Datasets | Peter Higgins |
| medicalrisk | 1.3 | Medical Risk and Comorbidity Tools for ICD-9-CM Data | Patrick McCormick |
| medicare | 0.2.1 | Tools for Obtaining and Cleaning Medicare Public Use Files | Robert Gambrel |
| meditations | 1.0.1 | Prints a Random Quote from Marcus Aurelius' Book Meditations | Jacob Kaplan |
| MedLEA | 1.0.2 | Morphological and Structural Features of Medicinal Leaves | Thiyanga S. Talagala |
| medScan | 1.0.2 | Large Scale Single Mediator Hypothesis Testing | Michael Kleinsasser |
| MEDseq | 1.4.1 | Mixtures of Exponential-Distance Models with Covariates | Keefe Murphy |
| meerva | 0.2-2 | Analysis of Data with Measurement Error Using a Validation
Subsample | Walter K Kremers |
| meetupapi | 0.1.0 | Access 'Meetup' API | Zac Davies |
| mefa | 3.2-8 | Multivariate Data Handling in Ecology and Biogeography | Peter Solymos |
| mefa4 | 0.3-9 | Multivariate Data Handling with S4 Classes and Sparse Matrices | Peter Solymos |
| mefdind | 0.1 | Imports Data from MoE Spain | Daniel Caro |
| Mega2R | 1.1.0 | Accessing and Processing a 'Mega2' Genetic Database | Daniel E. Weeks |
| MEGENA | 1.3.7 | Multiscale Clustering of Geometrical Network | Won-Min Song |
| meifly | 0.3.1 | Interactive Model Exploration using 'GGobi' | Hadley Wickham |
| mekko | 0.1.0 | Variable Width Bar Charts: Bar Mekko | Eric Rynerson |
| melt | 1.11.2 | Multiple Empirical Likelihood Tests | Eunseop Kim |
| meltr | 1.0.2 | Read Non-Rectangular Text Data | Duncan Garmonsway |
| meltt | 0.4.3 | Matching Event Data by Location, Time and Type | Karsten Donnay |
| mem | 2.18 | The Moving Epidemic Method | Jose E. Lozano |
| memapp | 2.16 | The Moving Epidemic Method Web Application | Jose E. Lozano |
| meme | 0.2.3 | Create Meme | Guangchuang Yu |
| memery | 0.5.7 | Internet Memes for Data Analysts | Matthew Leonawicz |
| memgene | 1.0.2 | Spatial Pattern Detection in Genetic Distance Data Using Moran's
Eigenvector Maps | Paul Galpern |
| memify | 0.1.1 | Constructing Functions That Keep State | Bert Gunter |
| memisc | 0.99.31.7 | Management of Survey Data and Presentation of Analysis Results | Martin Elff |
| memo | 1.1.1 | In-Memory Caching of Repeated Computations (Memoization) | Peter Meilstrup |
| memochange | 1.1.1 | Testing for Structural Breaks under Long Memory and Testing for
Changes in Persistence | Kai Wenger |
| memofunc | 1.0.2 | Function Memoization | Roy Wetherall |
| memoiR | 1.2-7 | R Markdown and Bookdown Templates to Publish Documents | Eric Marcon |
| memoise | 2.0.1 | 'Memoisation' of Functions | Winston Chang |
| memor | 0.2.3 | A 'rmarkdown' Template that Can be Highly Customized | Hao Zhu |
| memoria | 1.0.0 | Quantifying Ecological Memory in Palaeoecological Datasets and
Other Long Time-Series | Blas M. Benito |
| MEMSS | 0.9-3 | Data Sets from Mixed-Effects Models in S | Steve Walker |
| memuse | 4.2-3 | Memory Estimation Utilities | Drew Schmidt |
| MendelianRandomization | 0.9.0 | Mendelian Randomization Package | Stephen Burgess |
| MEPDF | 3.0 | Creation of Empirical Density Functions Based on Multivariate
Data | Martin Wiegand |
| Mercator | 1.1.2 | Clustering and Visualizing Distance Matrices | Kevin R. Coombes |
| merDeriv | 0.2-4 | Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models | Ting Wang |
| mergen | 0.1.0 | AI-Driven Code Generation, Explanation and Execution for Data
Analysis | Altuna Akalin |
| mergeTrees | 0.1.3 | Aggregating Trees | Audrey Hulot |
| mergingTools | 1.0.1 | Tools to Merge Hardware Event Monitors (HEMs) Coming from
Separate Subexperiments into One Single Dataframe | Sergi Vilardell |
| merlin | 0.1.0 | Mixed Effects Regression for Linear, Non-Linear and User-Defined
Models | Michael Crowther |
| MERO | 0.1.2 | Performing Monte Carlo Expectation Maximization Random Forest
Imputation for Biological Data | Mohamed Soudy |
| merror | 3.0 | Accuracy and Precision of Measurements | Richard A. Bilonick |
| merTools | 0.6.2 | Tools for Analyzing Mixed Effect Regression Models | Jared E. Knowles |
| meshed | 0.2.3 | Bayesian Regression with Meshed Gaussian Processes | Michele Peruzzi |
| MESS | 0.5.12 | Miscellaneous Esoteric Statistical Scripts | Claus Thorn Ekstrøm |
| messaging | 0.1.0 | Conveniently Issue Messages, Warnings, and Errors | Richard Iannone |
| messi | 0.1.1 | Mediation Analysis with External Summary-Level Information on
Total Effect | Michael Kleinsasser |
| messy.cats | 1.0 | Employs String Distance Tools to Help Clean Categorical Data | Harrison Karp |
| messydates | 0.3.5 | A Flexible Class for Messy Dates | James Hollway |
| Mestim | 0.2.1 | Computes the Variance-Covariance Matrix of Multidimensional
Parameters Using M-Estimation | François Grolleau |
| meta | 7.0-0 | General Package for Meta-Analysis | Guido Schwarzer |
| meta.shrinkage | 0.1.4 | Meta-Analyses for Simultaneously Estimating Individual Means | Nanami Taketomi |
| meta4diag | 2.1.1 | Meta-Analysis for Diagnostic Test Studies | Jingyi Guo |
| MetaAnalyser | 0.2.1 | An Interactive Visualisation of Meta-Analysis as a Physical
Weighing Machine | Christopher Jackson |
| metabias | 0.1.1 | Meta-Analysis for Within-Study and/or Across-Study Biases | Peter Solymos |
| metaBLUE | 1.0.0 | BLUE for Combining Location and Scale Information in a
Meta-Analysis | Xin Yang |
| metaBMA | 0.6.9 | Bayesian Model Averaging for Random and Fixed Effects
Meta-Analysis | Daniel W. Heck |
| metaboData | 0.6.3 | Example Metabolomics Data Sets | Jasen Finch |
| MetabolAnalyze | 1.3.1 | Probabilistic Latent Variable Models for Metabolomic Data | Claire Gormley |
| metabolic | 0.1.2 | Datasets and Functions for Reproducing Meta-Analyses | Felipe Mattioni Maturana |
| MetabolicSurv | 1.1.2 | A Biomarker Validation Approach for Classification and
Predicting Survival Using Metabolomics Signature | Olajumoke Evangelina Owokotomo |
| MetabolicSyndrome | 0.1.3 | Diagnosis of Metabolic Syndrome | Jagadish Ramasamy |
| MetabolomicsBasics | 1.4.5 | Basic Functions to Investigate Metabolomics Data Matrices | Jan Lisec |
| MetaboQC | 1.1 | Normalize Metabolomic Data using QC Signal | Monica Calderon-Santiago |
| metabup | 0.1.3 | Bayesian Meta-Analysis Using Basic Uncertain Pooling | Dexter Cahoy |
| metacart | 2.0-3 | Meta-CART: A Flexible Approach to Identify Moderators in
Meta-Analysis | Juan Claramunt |
| metaCluster | 0.1.0 | Metagenomic Clustering | Dipro Sinha |
| metacoder | 0.3.7 | Tools for Parsing, Manipulating, and Graphing Taxonomic
Abundance Data | Zachary Foster |
| metacom | 1.5.3 | Analysis of the 'Elements of Metacommunity Structure' | Tad Dallas |
| MetaComp | 1.1.2 | EDGE Taxonomy Assignments Visualization | Pavel Senin |
| metaconfoundr | 0.1.2 | Visualize 'Confounder' Control in Meta-Analyses | Malcolm Barrett |
| metaConvert | 1.0.0 | An Automatic Suite for Estimation of Various Effect Size
Measures | Corentin J. Gosling |
| metacore | 0.1.2 | A Centralized Metadata Object Focus on Clinical Trial Data
Programming Workflows | Christina Fillmore |
| MetaculR | 0.4.1 | Analyze Metaculus Predictions and Questions | Joseph de la Torre Dwyer |
| MetaCycle | 1.2.0 | Evaluate Periodicity in Large Scale Data | Gang Wu |
| metadat | 1.2-0 | Meta-Analysis Datasets | Wolfgang Viechtbauer |
| metaDigitise | 1.0.1 | Extract and Summarise Data from Published Figures | Daniel Noble |
| metadynminer | 0.1.7 | Tools to Read, Analyze and Visualize Metadynamics HILLS Files
from 'Plumed' | Vojtech Spiwok |
| metadynminer3d | 0.0.2 | Tools to Read, Analyze and Visualize Metadynamics 3D HILLS Files
from 'Plumed' | Vojtech Spiwok |
| metaEnsembleR | 0.1.0 | Automated Intuitive Package for Meta-Ensemble Learning | Ajay Arunachalam |
| metafolio | 0.1.2 | Metapopulation Simulations for Conserving Salmon Through
Portfolio Optimization | Sean C. Anderson |
| metafor | 4.6-0 | Meta-Analysis Package for R | Wolfgang Viechtbauer |
| metaforest | 0.1.4 | Exploring Heterogeneity in Meta-Analysis using Random Forests | Caspar J. van Lissa |
| metafuse | 2.0-1 | Fused Lasso Approach in Regression Coefficient Clustering | Lu Tang |
| metagam | 0.4.0 | Meta-Analysis of Generalized Additive Models | Oystein Sorensen |
| metaGE | 1.0.3 | Meta-Analysis for Detecting Genotype x Environment Associations | Annaïg De Walsche |
| metagear | 0.7 | Comprehensive Research Synthesis Tools for Systematic Reviews
and Meta-Analysis | Marc J. Lajeunesse |
| metaggR | 0.3.0 | Calculate the Knowledge-Weighted Estimate | Ville Satopää |
| metaheuristicOpt | 2.0.0 | Metaheuristic for Optimization | Lala Septem Riza |
| metainc | 0.2-0 | Assessment of Inconsistency in Meta-Analysis using Decision
Thresholds | Bernardo Sousa-Pinto |
| MetaIntegration | 0.1.2 | Ensemble Meta-Prediction Framework | Michael Kleinsasser |
| MetaIntegrator | 2.1.3 | Meta-Analysis of Gene Expression Data | Aditya M. Rao |
| metajam | 0.2.3 | Easily Download Data and Metadata from 'DataONE' | Julien Brun |
| MetaLandSim | 2.0.0 | Landscape and Range Expansion Simulation | Frederico Mestre |
| metaLik | 0.43.0 | Likelihood Inference in Meta-Analysis and Meta-Regression Models | Cristiano Varin |
| metalite | 0.1.3 | ADaM Metadata Structure | Yujie Zhao |
| metalite.ae | 0.1.1 | Adverse Events Analysis Using 'metalite' | Yujie Zhao |
| metalite.table1 | 0.4.0 | Interactive Table of Descriptive Statistics in HTML | Yilong Zhang |
| MetaLonDA | 1.1.8 | Metagenomics Longitudinal Differential Abundance Method | Ahmed A. Metwally |
| MetAlyzer | 1.0.0 | Read and Analyze 'MetIDQ™' Software Output Files | Nils Mechtel |
| metaMA | 3.1.3 | Meta-Analysis for MicroArrays | Samuel Blanck |
| metamedian | 1.1.1 | Meta-Analysis of Medians | Sean McGrath |
| metamer | 0.3.0 | Create Data with Identical Statistics | Elio Campitelli |
| metamicrobiomeR | 1.2 | Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI &
Random Effects | Nhan Ho |
| metamisc | 0.4.0 | Meta-Analysis of Diagnosis and Prognosis Research Studies | Thomas Debray |
| metan | 1.18.0 | Multi Environment Trials Analysis | Tiago Olivoto |
| MetaNet | 0.1.2 | Network Analysis for Omics Data | Chen Peng |
| metanetwork | 0.7.0 | Handling and Representing Trophic Networks in Space and Time | Marc Ohlmann |
| metansue | 2.5 | Meta-Analysis of Studies with Non-Statistically Significant
Unreported Effects | Joaquim Radua |
| metap | 1.9 | Meta-Analysis of Significance Values | Michael Dewey |
| metapack | 0.3 | Bayesian Meta-Analysis and Network Meta-Analysis | Daeyoung Lim |
| metaplot | 0.8.4 | Data-Driven Plot Design | Tim Bergsma |
| metaplus | 1.0-4 | Robust Meta-Analysis and Meta-Regression | Ken Beath |
| metapost | 1.0-6 | Interface to 'MetaPost' | Paul Murrell |
| metapower | 0.2.2 | Power Analysis for Meta-Analysis | Jason Griffin |
| metapro | 1.5.11 | Robust P-Value Combination Methods | Sora Yoon |
| metaprotr | 1.2.2 | Metaproteomics Post-Processing Analysis | Aaron Millan-Oropeza |
| metaRange | 1.1.4 | Framework to Build Mechanistic and Metabolic Constrained Species
Distribution Models | Stefan Fallert |
| metarep | 1.2.0 | Replicability-Analysis Tools for Meta-Analysis | Iman Jaljuli |
| metaRNASeq | 1.0.7 | Meta-Analysis of RNA-Seq Data | samuel Blanck |
| metaSDTreg | 0.2.2 | Regression Models for Meta Signal Detection Theory | Simon Bang Kristensen |
| metaSEM | 1.3.1 | Meta-Analysis using Structural Equation Modeling | Mike Cheung |
| metasens | 1.5-2 | Statistical Methods for Sensitivity Analysis in Meta-Analysis | Guido Schwarzer |
| MetaSKAT | 0.82 | Meta Analysis for SNP-Set (Sequence) Kernel Association Test | Seunggeun (Shawn) Lee |
| MetaStan | 1.0.0 | Bayesian Meta-Analysis via 'Stan' | Burak Kuersad Guenhan |
| MetaSubtract | 1.60 | Subtracting Summary Statistics of One or more Cohorts from
Meta-GWAS Results | Ilja M. Nolte |
| metaSurvival | 0.1.0 | Meta-Analysis of a Single Survival Curve | Shubhram Pandey |
| metatest | 1.0-5 | Fit and Test Metaregression Models | Ingmar Visser |
| metathis | 1.1.4 | HTML Metadata Tags for 'R Markdown' and 'Shiny' | Garrick Aden-Buie |
| metatools | 0.1.5 | Enable the Use of 'metacore' to Help Create and Check Dataset | Christina Fillmore |
| metaumbrella | 1.0.11 | Umbrella Review Package for R | Corentin J Gosling |
| MetaUtility | 2.1.2 | Utility Functions for Conducting and Interpreting Meta-Analyses | Maya B. Mathur |
| metavcov | 2.1.5 | Computing Variances and Covariances, Visualization and Missing
Data Solution for Multivariate Meta-Analysis | Min Lu |
| metaviz | 0.3.1 | Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for
Meta-Analysis | Michael Kossmeier |
| metawho | 0.2.0 | Meta-Analytical Implementation to Identify Who Benefits Most
from Treatments | Shixiang Wang |
| MetBrewer | 0.2.0 | Color Palettes Inspired by Works at the Metropolitan Museum of
Art | Blake Robert Mills |
| MetChem | 0.4 | Chemical Structural Similarity Analysis | Stefano Cacciatore |
| meteoEVT | 0.1.0 | Computation and Visualization of Energetic and Vortical
Atmospheric Quantities | Laura Mack |
| meteoForecast | 0.56 | Numerical Weather Predictions | Oscar Perpinan Lamigueiro |
| meteoland | 2.2.1 | Landscape Meteorology Tools | Miquel De Cáceres |
| meteor | 0.4-5 | Meteorological Data Manipulation | Robert J. Hijmans |
| meteorits | 0.1.1 | Mixture-of-Experts Modeling for Complex Non-Normal Distributions | Florian Lecocq |
| meteospain | 0.1.4 | Access to Spanish Meteorological Stations Services | Victor Granda |
| meteR | 1.2 | Fitting and Plotting Tools for the Maximum Entropy Theory of
Ecology (METE) | Cory Merow |
| metevalue | 0.2.4 | E-Value in the Omics Data Association Studies | Yifan Yang |
| MetGen | 0.5 | Stochastic Weather Generator | Nesrine Farhani |
| MethComp | 1.30.0 | Analysis of Agreement in Method Comparison Studies | Claus Thorn Ekstrøm |
| methcon5 | 0.1.0 | Identify and Rank CpG DNA Methylation Conservation Along the
Human Genome | Emil Hvitfeldt |
| MethodCompare | 0.1.2 | Bias and Precision Plots | Patrick Taffé |
| MeTo | 0.1.1 | Meteorological Tools | Ullrich Dettmann |
| metools | 1.0.0 | Macroeconomics Tools | João Victor Gomes de Araujo Santana |
| MetProc | 1.0.1 | Separate Metabolites into Likely Measurement Artifacts and True
Metabolites | Mark Chaffin |
| metR | 0.15.0 | Tools for Easier Analysis of Meteorological Fields | Elio Campitelli |
| metrica | 2.0.3 | Prediction Performance Metrics | Adrian A. Correndo |
| MetricGraph | 1.3.0 | Random Fields on Metric Graphs | David Bolin |
| metricminer | 0.5.1 | Mine Metrics from Common Places on the Web | Candace Savonen |
| Metrics | 0.1.4 | Evaluation Metrics for Machine Learning | Michael Frasco |
| metricsgraphics | 0.9.0 | Create Interactive Charts with the JavaScript 'MetricsGraphics'
Library | Bob Rudis |
| MetricsWeighted | 1.0.3 | Weighted Metrics and Performance Measures for Machine Learning | Michael Mayer |
| metrix | 1.1.0 | Water Quality Metrics Calculator | Juan Manuel Cabrera |
| metro | 0.9.3 | Washington Metropolitan Area Transit Authority API | Kiernan Nicholls |
| metRology | 0.9-28-1 | Support for Metrological Applications | Stephen L R Ellison |
| metropolis | 0.1.8 | The Metropolis Algorithm | Alexander Keil |
| mets | 1.3.4 | Analysis of Multivariate Event Times | Klaus K. Holst |
| MetSizeR | 2.0.0 | A Shiny App for Sample Size Estimation in Metabolomic
Experiments | Kate Finucane |
| metsyn | 0.1.2 | Interface with the Meteo France Synop Data API | Paul Poncet |
| mev | 1.16 | Modelling of Extreme Values | Leo Belzile |
| mewAvg | 0.3.1 | A Fixed Memeory Moving Expanding Window Average | Adam L. Pintar |
| MexBrewer | 0.0.2 | Color Palettes Inspired by Works of Mexican Painters and
Muralists | Antonio Páez |
| mexhaz | 2.5 | Mixed Effect Excess Hazard Models | Hadrien Charvat |
| mexicolors | 0.2.0 | Mexican Politics-Inspired Color Palette Generator | Alejandro Platas-López |
| mExplorer | 1.0.0 | Identifying Master Gene Regulators from Gene Expression and
DNA-Binding Data | Juri Reimand |
| MF.beta4 | 1.0.2 | Measuring Ecosystem Multi-Functionality and Its Decomposition | Anne Chao |
| mfaces | 0.1-4 | Fast Covariance Estimation for Multivariate Sparse Functional
Data | Cai Li |
| MFAg | 1.9 | Multiple Factor Analysis (MFA) | Paulo Cesar Ossani |
| mFD | 1.0.7 | Compute and Illustrate the Multiple Facets of Functional
Diversity | Camille Magneville |
| mfdb | 7.3-1 | MareFrame DB Querying Library | Jamie Lentin |
| MFDFA | 1.1 | MultiFractal Detrended Fluctuation Analysis | Mohamed Laib |
| mFDP | 0.1.0 | Flexible Control of the mFDP | Jesse Hemerik |
| mfGARCH | 0.2.1 | Mixed-Frequency GARCH Models | Onno Kleen |
| mFilter | 0.1-5 | Miscellaneous Time Series Filters | Mehmet Balcilar |
| mFLICA | 0.1.5 | Leadership-Inference Framework for Multivariate Time Series | Chainarong Amornbunchornvej |
| MFO | 0.1.0 | Maximal Fat Oxidation and Kinetics Calculation | Jorge R Fernandez-Santos |
| mfp | 1.5.4 | Multivariable Fractional Polynomials | Georg Heinze |
| mfp2 | 1.0.0 | Multivariable Fractional Polynomial Models with Extensions | Edwin Kipruto |
| MFPCA | 1.3-10 | Multivariate Functional Principal Component Analysis for Data
Observed on Different Dimensional Domains | Clara Happ-Kurz |
| mfpp | 0.0.5 | 'Matrix-Based Flexible Project Planning' | Zsolt T. Kosztyan |
| MFSIS | 0.2.0 | Moder-Free Sure Independent Screening Procedures | Xuewei Cheng |
| MFT | 2.0 | The Multiple Filter Test for Change Point Detection | Michael Messer |
| MfUSampler | 1.1.0 | Multivariate-from-Univariate (MfU) MCMC Sampler | Alireza S. Mahani |
| mfx | 1.2-2 | Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs | Alan Fernihough |
| MG1StationaryProbability | 0.1.2 | Computes Stationary Distribution for M/G/1 Queuing System | Olga Zoldaka |
| mgarchBEKK | 0.0.5 | Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR)
Processes | Vehbi Sinan Tunalioglu |
| MGBT | 1.0.7 | Multiple Grubbs-Beck Low-Outlier Test | William H. Asquith |
| mgc | 2.0.2 | Multiscale Graph Correlation | Eric Bridgeford |
| mgcv | 1.9-1 | Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation | Simon Wood |
| mgcViz | 0.1.11 | Visualisations for Generalized Additive Models | Matteo Fasiolo |
| MGDrivE | 1.6.0 | Mosquito Gene Drive Explorer | Héctor Manuel Sánchez Castellanos |
| MGDrivE2 | 2.1.0 | Mosquito Gene Drive Explorer 2 | Agastya Mondal |
| mgee2 | 0.5 | Marginal Analysis of Misclassified Longitudinal Ordinal Data | Yuliang Xu |
| mggd | 1.2.3 | Multivariate Generalised Gaussian Distribution; Kullback-Leibler
Divergence | Pierre Santagostini |
| MGL | 1.1 | Module Graphical Lasso | Safiye Celik |
| mglasso | 0.1.2 | Multiscale Graphical Lasso | Edmond Sanou |
| MGLM | 0.2.1 | Multivariate Response Generalized Linear Models | Juhyun Kim |
| mglmn | 0.1.0 | Model Averaging for Multivariate GLM with Null Models | Masatoshi Katabuchi |
| mgm | 1.2-14 | Estimating Time-Varying k-Order Mixed Graphical Models | Jonas Haslbeck |
| MGMM | 1.0.1.1 | Missingness Aware Gaussian Mixture Models | Zachary McCaw |
| MGMS2 | 1.0.2 | 'MGMS2' for Polymicrobial Samples | George Wendt |
| MGPSDK | 1.0.0 | Interact with the Maxar 'MGP' Application Programming Interfaces | Nathan Carr |
| mgpStreamingSDK | 0.2.0 | Interact with the Maxar MGP Streaming API | Nathan Carr |
| MGSDA | 1.6.1 | Multi-Group Sparse Discriminant Analysis | Irina Gaynanova |
| mgss | 1.2 | A Matrix-Free Multigrid Preconditioner for Spline Smoothing | Martin Siebenborn |
| mgsub | 1.7.3 | Safe, Multiple, Simultaneous String Substitution | Mark Ewing |
| mgwnbr | 0.2.0 | Multiscale Geographically Weighted Negative Binomial Regression | Juliana Rosa |
| mgwrsar | 1.0.5 | GWR and MGWR with Spatial Autocorrelation | Ghislain Geniaux |
| mhazard | 0.2.3 | Nonparametric and Semiparametric Methods for Multivariate
Failure Time Data | Eric Bair |
| mhcnuggetsr | 1.1 | Call MHCnuggets | Richèl J.C. Bilderbeek |
| MHCtools | 1.5.3 | Analysis of MHC Data in Non-Model Species | Jacob Roved |
| MHD | 0.1.2 | Metric Halfspace Depth | Xiongtao Dai |
| MHDA | 1.2 | Massive Hierarchically Data Analysis | Yi Ya |
| mHG | 1.1 | Minimum-Hypergeometric Test | Kobi Perl |
| mHMMbayes | 1.1.0 | Multilevel Hidden Markov Models Using Bayesian Estimation | Emmeke Aarts |
| Mhorseshoe | 0.1.2 | Approximate Algorithm for Horseshoe Prior | Kang Mingi |
| mhsmm | 0.4.21 | Inference for Hidden Markov and Semi-Markov Models | Jared O'Connell |
| mhtboot | 1.3.3 | Multiple Hypothesis Test Based on Distribution of p Values | Abhirup Mallik |
| MHTdiscrete | 1.0.1 | Multiple Hypotheses Testing for Discrete Data | Yalin Zhu |
| MHTmult | 0.1.0 | Multiple Hypotheses Testing for Multiple Families/Groups
Structure | Yalin Zhu |
| MHTrajectoryR | 1.0.1 | Bayesian Model Selection in Logistic Regression for the
Detection of Adverse Drug Reactions | Mohammed Sedki |
| mhurdle | 1.3-0 | Multiple Hurdle Tobit Models | Yves Croissant |
| mi | 1.1 | Missing Data Imputation and Model Checking | Ben Goodrich |
| mi4p | 1.1 | Multiple Imputation for Proteomics | Frederic Bertrand |
| MIAmaxent | 1.2.0 | A Modular, Integrated Approach to Maximum Entropy Distribution
Modeling | Julien Vollering |
| micar | 1.1.2 | 'Mica' Data Web Portal Client | Yannick Marcon |
| micd | 1.1.1 | Multiple Imputation in Causal Graph Discovery | Ronja Foraita |
| mice | 3.16.0 | Multivariate Imputation by Chained Equations | Stef van Buuren |
| miceadds | 3.17-44 | Some Additional Multiple Imputation Functions, Especially for
'mice' | Alexander Robitzsch |
| miceafter | 0.5.0 | Data and Statistical Analyses after Multiple Imputation | Martijn Heymans |
| micEcon | 0.6-18 | Microeconomic Analysis and Modelling | Arne Henningsen |
| micEconAids | 0.6-20 | Demand Analysis with the Almost Ideal Demand System (AIDS) | Arne Henningsen |
| micEconCES | 1.0-2 | Analysis with the Constant Elasticity of Substitution (CES)
Function | Arne Henningsen |
| micEconDistRay | 0.1-2 | Econometric Production Analysis with Ray-Based Distance
Functions | Arne Henningsen |
| micEconIndex | 0.1-8 | Price and Quantity Indices | Arne Henningsen |
| micEconSNQP | 0.6-10 | Symmetric Normalized Quadratic Profit Function | Arne Henningsen |
| miceFast | 0.8.2 | Fast Imputations Using 'Rcpp' and 'Armadillo' | Maciej Nasinski |
| micemd | 1.10.0 | Multiple Imputation by Chained Equations with Multilevel Data | Vincent Audigier |
| miceRanger | 1.5.0 | Multiple Imputation by Chained Equations with Random Forests | Sam Wilson |
| michelRodange | 1.0.0 | The Works (in Luxembourguish) of Michel Rodange | Bruno André Rodrigues coelho |
| miclust | 1.2.8 | Multiple Imputation in Cluster Analysis | Jose Barrera-Gomez |
| micompr | 1.1.4 | Multivariate Independent Comparison of Observations | Nuno Fachada |
| miCoPTCM | 1.1 | Promotion Time Cure Model with Mis-Measured Covariates | Aurelie Bertrand |
| microbats | 0.1-1 | An Implementation of Bat Algorithm in R | Seong Hyun Hwang |
| microbenchmark | 1.4.10 | Accurate Timing Functions | Joshua M. Ulrich |
| microbial | 0.0.20 | Do 16s Data Analysis and Generate Figures | Kai Guo |
| MicrobiomeStat | 1.2 | Statistical Methods for Microbiome Compositional Data | Jun Chen |
| MicrobiomeSurv | 0.1.0 | Biomarker Validation for Microbiome-Based Survival
Classification and Prediction | Thi Huyen Nguyen |
| microclass | 1.2 | Methods for Taxonomic Classification of Prokaryotes | Lars Snipen |
| microcontax | 1.2 | The ConTax Data Package | Lars Snipen |
| microCRAN | 0.9.0-1 | Hosting an Independent CRAN Repository | Stefan McKinnon Edwards |
| MicroDatosEs | 0.8.15 | Utilities for Official Spanish Microdata | Carlos J. Gil Bellosta |
| microeco | 1.6.0 | Microbial Community Ecology Data Analysis | Chi Liu |
| microhaplot | 1.0.1 | Microhaplotype Constructor and Visualizer | Thomas Ng |
| MicroMacroMultilevel | 0.4.0 | Micro-Macro Multilevel Modeling | Nancy R Xu |
| micromap | 1.9.8 | Linked Micromap Plots | Marcus W. Beck |
| micromapST | 3.0.2 | Linked Micromap Plots for U. S. and Other Geographic Areas | Jim Pearson |
| MicroMoB | 0.1.2 | Discrete Time Simulation of Mosquito-Borne Pathogen Transmission | Sean L. Wu |
| micromodal | 1.0.0 | Create Simple and Elegant Modal Dialogs in 'shiny' | Kennedy Mwavu |
| MicroNiche | 1.0.0 | Microbial Niche Measurements | Damien Finn |
| micronutr | 0.1.1 | Determining Vitamin and Mineral Status of Populations | Ernest Guevarra |
| micropan | 2.1 | Microbial Pan-Genome Analysis | Lars Snipen |
| microplot | 1.0-45 | Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel' | Richard M. Heiberger |
| microPop | 1.6 | Process-Based Modelling of Microbial Populations | Helen Kettle |
| microsamplingDesign | 1.0.8 | Finding Optimal Microsampling Designs for Non-Compartmental
Pharmacokinetic Analysis | Adriaan Blommaert |
| microseq | 2.1.6 | Basic Biological Sequence Handling | Lars Snipen |
| microsimulation | 1.4.3 | Discrete Event Simulation in R and C++, with Tools for
Cost-Effectiveness Analysis | Mark Clements |
| Microsoft365R | 2.4.0 | Interface to the 'Microsoft 365' Suite of Cloud Services | Hong Ooi |
| microsynth | 2.0.44 | Synthetic Control Methods with Micro- And Meso-Level Data | Michael Robbins |
| MicSim | 2.0.1 | Performing Continuous-Time Microsimulation | Sabine Zinn |
| MICsplines | 1.0 | The Computing of Monotonic Spline Bases and Constrained
Least-Squares Estimates | Yili Hong |
| micsr | 0.1-1 | Microeconometrics with R | Yves Croissant |
| micss | 0.1.5 | Modified Iterative Cumulative Sum of Squares Algorithm | Andreu Sansó |
| MiDA | 0.1.2 | Microarray Data Analysis | Elena Filatova |
| midas | 1.0.1 | Turn HTML 'Shiny' | Nicholas Jhirad |
| midas2 | 1.1.0 | Bayesian Platform Design with Subgroup Efficacy
Exploration(MIDAS-2) | Su Liwen |
| midasml | 0.1.10 | Estimation and Prediction Methods for High-Dimensional Mixed
Frequency Time Series Data | Jonas Striaukas |
| midasr | 0.8 | Mixed Data Sampling Regression | Vaidotas Zemlys-Balevičius |
| midastouch | 1.3 | Multiple Imputation by Distance Aided Donor Selection | Philipp Gaffert |
| MIDASwrappeR | 0.5.1 | Microcluster-Based Detector of Anomalies in Edge Streams | Tobias Heidler |
| midfieldr | 1.0.1 | Tools and Methods for Working with MIDFIELD Data in 'R' | Richard Layton |
| midi | 0.1.0 | Microstructure Information from Diffusion Imaging | Aymeric Stamm |
| MIDN | 1.0 | Nearly Exact Sample Size Calculation for Exact Powerful
Nonrandomized Tests for Differences Between Binomial
Proportions | Peter Ziegler |
| midrangeMCP | 3.1.1 | Multiples Comparisons Procedures Based on Studentized Midrange
and Range Distributions | Ben Deivide |
| miesmuschel | 0.0.3 | Mixed Integer Evolution Strategies | Martin Binder |
| mifa | 0.2.0 | Multiple Imputation for Exploratory Factor Analysis | Tobias Busch |
| MigConnectivity | 0.4.7 | Estimate Migratory Connectivity for Migratory Animals | Jeffrey A. Hostetler |
| migest | 2.0.4 | Methods for the Indirect Estimation of Bilateral Migration | Guy J. Abel |
| migraph | 1.3.4 | Many Network Measures, Motifs, Members, and Models | James Hollway |
| migrate | 0.4.0 | Create Credit State Migration (Transition) Matrices | Michael Thomas |
| migration.indices | 0.3.1 | Migration Indices | Gergely Daróczi |
| MigrationDetectR | 0.1.1 | Segment-Based Migration Detection Algorithm | Johannes Mast |
| migui | 1.3 | Graphical User Interface to the 'mi' Package | Ben Goodrich |
| miic | 1.5.3 | Learning Causal or Non-Causal Graphical Models Using Information
Theory | Vincent Cabeli |
| MIIPW | 0.1.1 | IPW and Mean Score Methods for Time-Course Missing Data | Atanu Bhattacharjee |
| MIIVefa | 0.1.2 | Exploratory Factor Analysis Using Model Implied Instrumental
Variables | Lan Luo |
| MIIVsem | 0.5.8 | Model Implied Instrumental Variable (MIIV) Estimation of
Structural Equation Models | Zachary Fisher |
| mikropml | 1.6.1 | User-Friendly R Package for Supervised Machine Learning
Pipelines | Kelly Sovacool |
| miLAG | 1.0.2 | Calculates Microbial Lag Duration (on the Population Level) from
Provided Growth Curve Data | Bogna Smug |
| mildsvm | 0.4.0 | Multiple-Instance Learning with Support Vector Machines | Sean Kent |
| miLineage | 2.1 | Association Tests for Microbial Lineages on a Taxonomic Tree | Zheng-Zheng Tang |
| milr | 0.3.1 | Multiple-Instance Logistic Regression with LASSO Penalty | Ping-Yang Chen |
| mime | 0.12 | Map Filenames to MIME Types | Yihui Xie |
| mimi | 0.2.0 | Main Effects and Interactions in Mixed and Incomplete Data | Genevieve Robin |
| MiMIR | 1.5 | Metabolomics-Based Models for Imputing Risk | Daniele Bizzarri |
| mimiSBM | 0.0.1.3 | Mixture of Multilayer Integrator Stochastic Block Models | Kylliann De Santiago |
| MIMSunit | 0.11.2 | Algorithm to Compute Monitor Independent Movement Summary Unit
(MIMS-Unit) | Qu Tang |
| mimsy | 0.6.4 | Calculate MIMS Dissolved Gas Concentrations Without Getting a
Headache | Michelle Catherine Kelly |
| minb | 0.1.0 | Multiple-Inflated Negative Binomial Model | Mingcong Wu |
| mind | 1.1.0 | Multivariate Model Based Inference for Domains | Andrea Fasulo |
| MindOnStats | 0.11 | Data sets included in Utts and Heckard's Mind on Statistics | A. Jonathan R. Godfrey |
| mineCitrus | 1.0.0 | Extract and Analyze Median Molecule Intensity from 'citrus'
Output | Allison Throm |
| mined | 1.0-3 | Minimum Energy Designs | Dianpeng Wang |
| MinEDfind | 0.1.3 | A Bayesian Design for Minimum Effective Dosing-Finding Trial | Chia-Wei Hsu |
| minerva | 1.5.10 | Maximal Information-Based Nonparametric Exploration for Variable
Analysis | Michele Filosi |
| mineSweepR | 0.1.1 | Mine Sweeper Game | Xiurui Zhu |
| miniCRAN | 0.3.0 | Create a Mini Version of CRAN Containing Only Selected Packages | Andrie de Vries |
| minidown | 0.4.0 | Create Simple Yet Powerful HTML Documents with Light Weight CSS
Frameworks | Atsushi Yasumoto |
| miniGUI | 0.8-1 | Tcl/Tk Quick and Simple Function GUI | Jorge Luis Ojeda Cabrera |
| minimalRSD | 1.0.0 | Minimally Changed CCD and BBD | Shwetank Lall |
| minimap | 0.1.0 | Create Tile Grid Maps | Sean Kross |
| minimax | 1.1.1 | The Minimax Distribution Family | Bill Venables |
| minimaxApprox | 0.4.1 | Implementation of Remez Algorithm for Polynomial and Rational
Function Approximation | Avraham Adler |
| miniMeta | 0.3.1 | Web Application to Run Meta-Analyses | Theodore Lytras |
| minioclient | 0.0.6 | Interface to the 'MinIO' Client | Carl Boettiger |
| miniPCH | 0.3.2 | Survival Distributions with Piece-Wise Constant Hazards | Tobias Fellinger |
| Minirand | 0.1.3 | Minimization Randomization | Man Jin |
| miniUI | 0.1.1.1 | Shiny UI Widgets for Small Screens | Joe Cheng |
| minMSE | 0.5.1 | Implementation of the minMSE Treatment Assignment Method for One
or Multiple Treatment Groups | Sebastian O. Schneider |
| minpack.lm | 1.2-4 | R Interface to the Levenberg-Marquardt Nonlinear Least-Squares
Algorithm Found in MINPACK, Plus Support for Bounds | Katharine M. Mullen |
| minqa | 1.2.6 | Derivative-Free Optimization Algorithms by Quadratic
Approximation | Katharine M. Mullen |
| minque | 2.0.0 | Various Linear Mixed Model Analyses | Jixiang Wu |
| minsample1 | 0.1.0 | The Minimum Sample Size | Anik Paul |
| minsample2 | 0.1.0 | The Minimum Sample Size | Anik Paul |
| minSNPs | 0.2.0 | Resolution-Optimised SNPs Searcher | Ludwig Kian Soon Hoon |
| MINTplates | 1.0.1 | Encode "License-Plates" from Sequences and Decode Them Back | Shanliang Zhong |
| mipfp | 3.2.1 | Multidimensional Iterative Proportional Fitting and Alternative
Models | Johan Barthelemy |
| mipplot | 0.3.1 | An Open-Source Tool for Visualization of Climate Mitigation
Scenarios | Akimitsu Inoue |
| mirai | 0.12.1 | Minimalist Async Evaluation Framework for R | Charlie Gao |
| mirai.promises | 0.4.1 | Make 'Mirai' 'Promises' | Charlie Gao |
| miRecSurv | 1.0.2 | Left-Censored Recurrent Events Survival Models | David Moriña |
| MIRES | 0.1.0 | Measurement Invariance Assessment Using Random Effects Models
and Shrinkage | Stephen Martin |
| miRetrieve | 1.3.4 | miRNA Text Mining in Abstracts | Julian Friedrich |
| MiRKAT | 1.2.3 | Microbiome Regression-Based Kernel Association Tests | Anna Plantinga |
| MiRNAQCD | 1.1.3 | Micro-RNA Quality Control and Diagnosis | Alessio Perinelli |
| miRNAss | 1.5 | Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples | Cristian Yones |
| MiRSEA | 1.1.1 | 'MicroRNA' Set Enrichment Analysis | Junwei Han |
| mirt | 1.41 | Multidimensional Item Response Theory | Phil Chalmers |
| mirtCAT | 1.13 | Computerized Adaptive Testing with Multidimensional Item
Response Theory | Phil Chalmers |
| miRtest | 2.1 | Combined miRNA- And mRNA-Testing | Stephan Artmann |
| mirtjml | 1.4.0 | Joint Maximum Likelihood Estimation for High-Dimensional Item
Factor Analysis | Siliang Zhang |
| mirtsvd | 1.0 | SVD-Based Estimation for Exploratory Item Factor Analysis | Haoran Zhang |
| misaem | 1.0.1 | Linear Regression and Logistic Regression with Missing
Covariates | Julie Josse |
| misc3d | 0.9-1 | Miscellaneous 3D Plots | Luke Tierney |
| miscF | 0.1-5 | Miscellaneous Functions | Dai Feng |
| miscFuncs | 1.5-8 | Miscellaneous Useful Functions Including LaTeX Tables, Kalman
Filtering, QQplots with Simulation-Based Confidence Intervals
and Development Tools | Benjamin M. Taylor |
| miscIC | 0.1.0 | Misclassified Interval Censored Time-to-Event Data | Andrew Titman |
| misclassGLM | 0.3.5 | Computation of Generalized Linear Models with Misclassified
Covariates Using Side Information | Stephan Dlugosz |
| MiscMetabar | 0.7.10 | Miscellaneous Functions for Metabarcoding Analysis | Adrien Taudière |
| miscset | 1.1.0 | Miscellaneous Tools Set | Sven E. Templer |
| miscTools | 0.6-28 | Miscellaneous Tools and Utilities | Arne Henningsen |
| miselect | 0.9.2 | Variable Selection for Multiply Imputed Data | Michael Kleinsasser |
| mispitools | 1.0.0 | Missing Person Identification Tools | Franco Marsico |
| mispr | 1.0.0 | Multiple Imputation with Sequential Penalized Regression | Faisal Maqbool Zahid |
| misPRIME | 0.1.0 | Partial Replacement Imputation Estimation for Missing Covariates | Zishu Zhan |
| MiSPU | 1.0 | Microbiome Based Sum of Powered Score (MiSPU) Tests | Chong Wu |
| MisRepARMA | 0.0.2 | Misreported Time Series Analysis | David Moriña Soler |
| misreport | 0.1.1 | Statistical Analysis of Misreporting on Sensitive Survey
Questions | Gregory Eady |
| missCforest | 0.0.8 | Ensemble Conditional Trees for Missing Data Imputation | Imad El Badisy |
| missCompare | 1.0.3 | Intuitive Missing Data Imputation Framework | Tibor V. Varga |
| MissCP | 0.1.0 | Change Point Detection with Missing Values | Yanxi Liu |
| missDeaths | 2.7 | Simulating and Analyzing Time to Event Data in the Presence of
Population Mortality | Tomaz Stupnik |
| missDiag | 1.0.1 | Comparing Observed and Imputed Values under MAR and MCAR | Moritz Marbach |
| missForest | 1.5 | Nonparametric Missing Value Imputation using Random Forest | Daniel J. Stekhoven |
| missForestPredict | 1.0 | Missing Value Imputation using Random Forest for Prediction
Settings | Elena Albu |
| MissingHandle | 0.1.1 | Handles Missing Dates and Data and Converts into Weekly and
Monthly from Daily | Mr. Sandip Garai |
| missingHE | 1.5.0 | Missing Outcome Data in Health Economic Evaluation | Andrea Gabrio |
| MissingPlotLSD | 0.1.0 | Missing Plot in LSD | Debarghya Baul |
| MissingPlotRBD | 1.1.0 | Missing Plot in RBD | Arnab Roy |
| missMDA | 1.19 | Handling Missing Values with Multivariate Data Analysis | Francois Husson |
| MissMech | 1.0.4 | Testing Homoscedasticity, Multivariate Normality, and Missing
Completely at Random | Mao Kobayashi |
| missMethods | 0.4.0 | Methods for Missing Data | Tobias Rockel |
| missoNet | 1.2.0 | Missingness in Multi-Task Regression with Network Estimation | Yixiao Zeng |
| misspi | 0.1.0 | Missing Value Imputation in Parallel | Zhongli Jiang |
| Missplot | 0.1.0 | Missing Plot Technique in Design of Experiment | Shantanu Nayek |
| missRanger | 2.4.0 | Fast Imputation of Missing Values | Michael Mayer |
| missSBM | 1.0.4 | Handling Missing Data in Stochastic Block Models | Julien Chiquet |
| missSOM | 1.0.1 | Self-Organizing Maps with Built-in Missing Data Imputation | Sara Rejeb |
| mistat | 2.0.4 | Data Sets, Functions and Examples from the Book: "Modern
Industrial Statistics" by Kenett, Zacks and Amberti | Daniele Amberti |
| mistr | 0.0.6 | Mixture and Composite Distributions | Lukas Sablica |
| mistral | 2.2.2 | Methods in Structural Reliability | Bertrand Iooss |
| misty | 0.6.2 | Miscellaneous Functions 'T. Yanagida' | Takuya Yanagida |
| mitml | 0.4-5 | Tools for Multiple Imputation in Multilevel Modeling | Simon Grund |
| MitoHEAR | 0.1.0 | Quantification of Mitochondrial DNA Heteroplasmy | Gabriele Lubatti |
| mitools | 2.4 | Tools for Multiple Imputation of Missing Data | Thomas Lumley |
| mitre | 1.0.0 | Cybersecurity MITRE Standards Data and Digraphs | Humbert Costas |
| MittagLeffleR | 0.4.1 | Mittag-Leffler Family of Distributions | Peter Straka |
| miWQS | 0.4.4 | Multiple Imputation Using Weighted Quantile Sum Regression | Paul M. Hargarten |
| mix | 1.0-11 | Estimation/Multiple Imputation for Mixed Categorical and
Continuous Data | Brian Ripley |
| mixAK | 5.7 | Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering | Arnošt Komárek |
| mixAR | 0.22.8 | Mixture Autoregressive Models | Georgi N. Boshnakov |
| mixbox | 1.2.3 | Observed Fisher Information Matrix for Finite Mixture Model | Mahdi Teimouri |
| mixcat | 1.0-4 | Mixed Effects Cumulative Link and Logistic Regression Models | Georgios Papageorgiou |
| mixchar | 0.1.0 | Mixture Model for the Deconvolution of Thermal Decay Curves | Saras Windecker |
| mixcure | 2.0 | Mixture Cure Models | Yingwei Peng |
| mixdir | 0.3.0 | Cluster High Dimensional Categorical Datasets | Constantin Ahlmann-Eltze |
| mixdist | 0.5-5 | Finite Mixture Distribution Models | Peter Macdonald |
| mixedBayes | 0.1.2 | Bayesian Longitudinal Regularized Quantile Mixed Model | Kun Fan |
| mixedCCA | 1.6.2 | Sparse Canonical Correlation Analysis for High-Dimensional Mixed
Data | Irina Gaynanova |
| MixedIndTests | 1.2.0 | Tests of Randomness and Tests of Independence | Bouchra R. Nasri |
| MixedLevelRSDs | 1.0.0 | Mixed Level Response Surface Designs | Ashutosh Dalal |
| mixedLSR | 0.1.0 | Mixed, Low-Rank, and Sparse Multivariate Regression on
High-Dimensional Data | Alexander White |
| mixedMem | 1.1.2 | Tools for Discrete Multivariate Mixed Membership Models | Y. Samuel Wang |
| MixedPoisson | 2.0 | Mixed Poisson Models | Alicja Wolny-Dominiak |
| MixedPsy | 1.1.0 | Statistical Tools for the Analysis of Psychophysical Data | Alessandro Moscatelli |
| mixedsde | 5.0 | Estimation Methods for Stochastic Differential Mixed Effects
Models | Charlotte Dion |
| MixedTS | 1.0.4 | Mixed Tempered Stable Distribution | Lorenzo Mercuri |
| mixexp | 1.2.7 | Design and Analysis of Mixture Experiments | John Lawson |
| MIXFIM | 1.1 | Evaluation of the FIM in NLMEMs using MCMC | Marie-Karelle Riviere-Jourdan |
| MixfMRI | 0.1-3 | Mixture fMRI Clustering Analysis | Wei-Chen Chen |
| mixgb | 1.0.2 | Multiple Imputation Through 'XGBoost' | Yongshi Deng |
| MixGHD | 2.3.7 | Model Based Clustering, Classification and Discriminant Analysis
Using the Mixture of Generalized Hyperbolic Distributions | Cristina Tortora |
| mixhvg | 0.1.1 | Mixture of Multiple Highly Variable Feature Selection Methods | Ruzhang Zhao |
| mixIndependR | 1.0.0 | Genetics and Independence Testing of Mixed Genetic Panels | Bing Song |
| mixKernel | 0.9-1 | Omics Data Integration Using Kernel Methods | Nathalie Vialaneix |
| mixl | 1.3.4 | Simulated Maximum Likelihood Estimation of Mixed Logit Models
for Large Datasets | Joseph Molloy |
| mixlm | 1.3.0 | Mixed Model ANOVA and Statistics for Education | Kristian Hovde Liland |
| MixMatrix | 0.2.6 | Classification with Matrix Variate Normal and t Distributions | Geoffrey Thompson |
| mixmeta | 1.2.0 | An Extended Mixed-Effects Framework for Meta-Analysis | Antonio Gasparrini |
| mixopt | 0.1.2 | Mixed Variable Optimization | Collin Erickson |
| MixOptim | 0.1.2 | Mixture Optimization Algorithm | Cassandro Davi Emer |
| mixPHM | 0.7-2 | Mixtures of Proportional Hazard Models | Patrick Mair |
| mixpoissonreg | 1.0.0 | Mixed Poisson Regression for Overdispersed Count Data | Alexandre B. Simas |
| mixR | 0.2.0 | Finite Mixture Modeling for Raw and Binned Data | Youjiao Yu |
| mixRaschTools | 1.1.1 | Plotting and Average Theta Functions for Multiple Class Mixed
Rasch Models | Pamela Trantham |
| MixRF | 1.0 | A Random-Forest-Based Approach for Imputing Clustered Incomplete
Data | Jiebiao Wang |
| MixSAL | 1.0 | Mixtures of Multivariate Shifted Asymmetric Laplace (SAL)
Distributions | Brian C. Franczak |
| MixSemiRob | 1.1.0 | Mixture Models: Parametric, Semiparametric, and Robust | Suyeon Kang |
| MixSIAR | 3.1.12 | Bayesian Mixing Models in R | Brian Stock |
| MixSim | 1.1-7 | Simulating Data to Study Performance of Clustering Algorithms | Wei-Chen Chen |
| mixsmsn | 1.1-10 | Fitting Finite Mixture of Scale Mixture of Skew-Normal
Distributions | Marcos Prates |
| mixSPE | 0.9.2 | Mixtures of Power Exponential and Skew Power Exponential
Distributions for Use in Model-Based Clustering and
Classification | Utkarsh J. Dang |
| mixsqp | 0.3-54 | Sequential Quadratic Programming for Fast Maximum-Likelihood
Estimation of Mixture Proportions | Peter Carbonetto |
| mixSSG | 2.1.1 | Clustering Using Mixtures of Sub Gaussian Stable Distributions | Mahdi Teimouri |
| mixtools | 2.0.0 | Tools for Analyzing Finite Mixture Models | Derek Young |
| mixtox | 1.4.0 | Dose Response Curve Fitting and Mixture Toxicity Assessment | Xiangwei Zhu |
| mixtur | 1.2.1 | Modelling Continuous Report Visual Short-Term Memory Studies | Jim Grange |
| mixture | 2.1.1 | Mixture Models for Clustering and Classification | Paul D. McNicholas |
| MixtureMissing | 3.0.2 | Robust and Flexible Model-Based Clustering for Data Sets with
Missing Values at Random | Hung Tong |
| MixTwice | 2.0 | Large-Scale Hypothesis Testing by Variance Mixing | Zihao Zheng |
| MixviR | 3.5.0 | Analysis and Exploration of Mixed Microbial Genomic Samples | Michael Sovic |
| mixvlmc | 0.2.1 | Variable Length Markov Chains with Covariates | Fabrice Rossi |
| mize | 0.2.4 | Unconstrained Numerical Optimization Algorithms | James Melville |
| mizer | 2.5.1 | Dynamic Multi-Species Size Spectrum Modelling | Gustav Delius |
| MJMbamlss | 0.1.0 | Multivariate Joint Models with 'bamlss' | Alexander Volkmann |
| MKclass | 0.5 | Statistical Classification | Matthias Kohl |
| mkde | 0.2 | 2D and 3D Movement-Based Kernel Density Estimates (MKDEs) | Robert Sinkovits |
| MKdescr | 0.8 | Descriptive Statistics | Matthias Kohl |
| MKendall | 1.5-4 | Matrix Kendall's Tau and Matrix Elliptical Factor Model | Yalin Wang |
| mkin | 1.2.6 | Kinetic Evaluation of Chemical Degradation Data | Johannes Ranke |
| MKinfer | 1.2 | Inferential Statistics | Matthias Kohl |
| MKLE | 1.0.1 | Maximum Kernel Likelihood Estimation | Thomas Jaki |
| MKMeans | 2.1 | A Modern K-Means (MKMeans) Clustering Algorithm | Yi Ya |
| MKmisc | 1.9 | Miscellaneous Functions from M. Kohl | Matthias Kohl |
| mknapsack | 0.1.0 | Multiple Knapsack Problem Solver | Bulat Yapparov |
| MKomics | 0.7 | Omics Data Analysis | Matthias Kohl |
| MKpower | 0.9 | Power Analysis and Sample Size Calculation | Matthias Kohl |
| mkssd | 1.2 | Efficient Multi-Level k-Circulant Supersaturated Designs | B N Mandal |
| ML.MSBD | 1.2.1 | Maximum Likelihood Inference on Multi-State Trees | Joelle Barido-Sottani |
| ML2Pvae | 1.0.0.1 | Variational Autoencoder Models for IRT Parameter Estimation | Geoffrey Converse |
| mlapi | 0.1.1 | Abstract Classes for Building 'scikit-learn' Like API | Dmitriy Selivanov |
| mlbench | 2.1-3.1 | Machine Learning Benchmark Problems | Friedrich Leisch |
| mlbplotR | 1.1.0 | Create 'ggplot2' and 'gt' Visuals with Major League Baseball
Logos | Camden Kay |
| mlbstats | 0.1.0 | Major League Baseball Player Statistics Calculator | Philip D. Waggoner |
| MLCIRTwithin | 2.1.1 | Latent Class Item Response Theory (LC-IRT) Models under
Within-Item Multidimensionality | Francesco Bartolucci |
| MLCM | 0.4.3 | Maximum Likelihood Conjoint Measurement | Guillermo Aguilar |
| MLDataR | 1.0.1 | Collection of Machine Learning Datasets for Supervised Machine
Learning | Gary Hutson |
| mldr | 0.4.3 | Exploratory Data Analysis and Manipulation of Multi-Label Data
Sets | David Charte |
| mldr.datasets | 0.4.2 | R Ultimate Multilabel Dataset Repository | David Charte |
| mldr.resampling | 0.2.3 | Resampling Algorithms for Multi-Label Datasets | Miguel Ángel Dávila |
| MLDS | 0.5.1 | Maximum Likelihood Difference Scaling | Kenneth Knoblauch |
| mle.tools | 1.0.0 | Expected/Observed Fisher Information and Bias-Corrected Maximum
Likelihood Estimate(s) | Josmar Mazucheli |
| mlearning | 1.2.1 | Machine Learning Algorithms with Unified Interface and Confusion
Matrices | Philippe Grosjean |
| MLEce | 2.1.0 | Asymptotic Efficient Closed-Form Estimators for Multivariate
Distributions | Jun Zhao |
| MLEcens | 0.1-7 | Computation of the MLE for Bivariate Interval Censored Data | Marloes Maathuis |
| mlegp | 3.1.9 | Maximum Likelihood Estimates of Gaussian Processes | Garrett M. Dancik |
| mlergm | 0.8 | Multilevel Exponential-Family Random Graph Models | Jonathan Stewart |
| MLeval | 0.3 | Machine Learning Model Evaluation | Christopher R John |
| mlexperiments | 0.0.3 | Machine Learning Experiments | Lorenz A. Kapsner |
| mlf | 1.2.1 | Machine Learning Foundations | Kyle Peterson |
| mlfit | 0.5.3 | Iterative Proportional Fitting Algorithms for Nested Structures | Amarin Siripanich |
| mlflow | 2.11.1 | Interface to 'MLflow' | Matei Zaharia |
| MLFS | 0.4.2 | Machine Learning Forest Simulator | Jernej Jevsenak |
| MLGdata | 0.1.0 | Datasets for Use with Salvan, Sartori and Pace (2020) | Nicola Sartori |
| MLGL | 1.0.0 | Multi-Layer Group-Lasso | Quentin Grimonprez |
| MLID | 1.0.1 | Multilevel Index of Dissimilarity | Richard Harris |
| mlim | 0.3.0 | Single and Multiple Imputation with Automated Machine Learning | E. F. Haghish |
| mllrnrs | 0.0.3 | R6-Based ML Learners for 'mlexperiments' | Lorenz A. Kapsner |
| mlma | 6.3-1 | Multilevel Mediation Analysis | Qingzhao Yu |
| MLmetrics | 1.1.1 | Machine Learning Evaluation Metrics | Yachen Yan |
| mlmhelpr | 0.1.0 | Multilevel/Mixed Model Helper Functions | Louis Rocconi |
| mlmi | 1.1.2 | Maximum Likelihood Multiple Imputation | Jonathan Bartlett |
| MLML2R | 0.3.3 | Maximum Likelihood Estimation of DNA Methylation and
Hydroxymethylation Proportions | Samara Kiihl |
| mlmm.gwas | 1.0.6 | Pipeline for GWAS Using MLMM | Clement Mabire |
| MLModelSelection | 1.0 | Model Selection in Multivariate Longitudinal Data Analysis | Kuo-Jung Lee |
| MLMOI | 0.1.2 | Estimating Frequencies, Prevalence and Multiplicity of Infection | Meraj Hashemi |
| mlmpower | 1.0.8 | Power Analysis and Data Simulation for Multilevel Models | Brian T. Keller |
| mlmRev | 1.0-8 | Examples from Multilevel Modelling Software Review | Steve Walker |
| mlmtools | 1.0.2 | Multi-Level Model Assessment Kit | Laura Jamison |
| mlmts | 1.1.1 | Machine Learning Algorithms for Multivariate Time Series | Angel Lopez-Oriona |
| MLMusingR | 0.3.2 | Practical Multilevel Modeling | Francis Huang |
| mlogit | 1.1-1 | Multinomial Logit Models | Yves Croissant |
| mlogitBMA | 0.1-7 | Bayesian Model Averaging for Multinomial Logit Models | Hana Sevcikova |
| mlpack | 4.3.0.1 | 'Rcpp' Integration for the 'mlpack' Library | Ryan Curtin |
| MLpreemption | 1.0.1 | Maximum Likelihood Estimation of the Niche Preemption Model | Jan Graffelman |
| MLPUGS | 0.2.0 | Multi-Label Prediction Using Gibbs Sampling (and Classifier
Chains) | Mikhail Popov |
| mlpwr | 1.1.0 | A Power Analysis Toolbox to Find Cost-Efficient Study Designs | Felix Zimmer |
| mlquantify | 0.2.0 | Algorithms for Class Distribution Estimation | Andre Maletzke |
| mlr | 2.19.1 | Machine Learning in R | Patrick Schratz |
| mlr3 | 0.18.0 | Machine Learning in R - Next Generation | Michel Lang |
| mlr3batchmark | 0.1.1 | Batch Experiments for 'mlr3' | Marc Becker |
| mlr3benchmark | 0.1.6 | Analysis and Visualisation of Benchmark Experiments | Sebastian Fischer |
| mlr3cluster | 0.1.9 | Cluster Extension for 'mlr3' | Damir Pulatov |
| mlr3data | 0.7.0 | Collection of Machine Learning Data Sets for 'mlr3' | Michel Lang |
| mlr3db | 0.5.2 | Data Base Backend for 'mlr3' | Michel Lang |
| mlr3fairness | 0.3.2 | Fairness Auditing and Debiasing for 'mlr3' | Florian Pfisterer |
| mlr3fda | 0.1.1 | Extending 'mlr3' to Functional Data Analysis | Sebastian Fischer |
| mlr3filters | 0.7.1 | Filter Based Feature Selection for 'mlr3' | Michel Lang |
| mlr3fselect | 0.12.0 | Feature Selection for 'mlr3' | Marc Becker |
| mlr3hyperband | 0.5.0 | Hyperband for 'mlr3' | Marc Becker |
| mlr3learners | 0.6.0 | Recommended Learners for 'mlr3' | Michel Lang |
| mlr3mbo | 0.2.2 | Flexible Bayesian Optimization | Lennart Schneider |
| mlr3measures | 0.5.0 | Performance Measures for 'mlr3' | Michel Lang |
| mlr3misc | 0.14.0 | Helper Functions for 'mlr3' | Michel Lang |
| mlr3oml | 0.9.0 | Connector Between 'mlr3' and 'OpenML' | Sebastian Fischer |
| mlr3pipelines | 0.5.1 | Preprocessing Operators and Pipelines for 'mlr3' | Martin Binder |
| mlr3shiny | 0.3.0 | Machine Learning in 'shiny' with 'mlr3' | Laurens Tetzlaff |
| mlr3spatial | 0.5.0 | Support for Spatial Objects Within the 'mlr3' Ecosystem | Marc Becker |
| mlr3spatiotempcv | 2.3.0 | Spatiotemporal Resampling Methods for 'mlr3' | Patrick Schratz |
| mlr3tuning | 0.20.0 | Hyperparameter Optimization for 'mlr3' | Marc Becker |
| mlr3tuningspaces | 0.5.0 | Search Spaces for 'mlr3' | Marc Becker |
| mlr3verse | 0.2.8 | Easily Install and Load the 'mlr3' Package Family | Michel Lang |
| mlr3viz | 0.8.0 | Visualizations for 'mlr3' | Michel Lang |
| mlrCPO | 0.3.7-7 | Composable Preprocessing Operators and Pipelines for Machine
Learning | Martin Binder |
| mlrintermbo | 0.5.0 | Model-Based Optimization for 'mlr3' Through 'mlrMBO' | Martin Binder |
| mlrMBO | 1.1.5.1 | Bayesian Optimization and Model-Based Optimization of Expensive
Black-Box Functions | Jakob Richter |
| mlrpro | 0.1.2 | Stepwise Regression with Assumptions Checking | Thidarat Thongsri |
| mlrv | 0.1.1 | Long-Run Variance Estimation in Time Series Regression | Lujia Bai |
| mlsbm | 0.99.2 | Efficient Estimation of Bayesian SBMs & MLSBMs | Carter Allen |
| mlsjunkgen | 0.1.2 | Use the MLS Junk Generator Algorithm to Generate a Stream of
Pseudo-Random Numbers | Steve Myles |
| mlstrOpalr | 1.0.2 | Support Compatibility Between 'Maelstrom' R Packages and 'Opal'
Environment | Guillaume Fabre |
| mlsurvlrnrs | 0.0.3 | R6-Based ML Survival Learners for 'mlexperiments' | Lorenz A. Kapsner |
| mlt | 1.5-0 | Most Likely Transformations | Torsten Hothorn |
| mlt.docreg | 1.1-7 | Most Likely Transformations: Documentation and Regression Tests | Torsten Hothorn |
| mltest | 1.0.1 | Classification Evaluation Metrics | G. Dudnik |
| mltools | 0.3.5 | Machine Learning Tools | Ben Gorman |
| mlVAR | 0.5.2 | Multi-Level Vector Autoregression | Sacha Epskamp |
| MLVSBM | 0.2.4 | A Stochastic Block Model for Multilevel Networks | Saint-Clair Chabert-Liddell |
| mlxR | 4.2.0 | Simulation of Longitudinal Data | Marc Lavielle |
| MLZ | 0.1.4 | Mean Length-Based Estimators of Mortality using TMB | Quang Huynh |
| MM | 1.6-7 | The Multiplicative Multinomial Distribution | Robin K. S. Hankin |
| MM2Sdata | 1.0.3 | Gene Expression Datasets for the 'MM2S' Package | Benjamin Haibe-Kains |
| MM4LMM | 3.0.2 | Inference of Linear Mixed Models Through MM Algorithm | Fabien Laporte |
| mma | 10.7-1 | Multiple Mediation Analysis | Qingzhao Yu |
| mmabig | 3.2-0 | Multiple Mediation Analysis for Big Data Sets | Qingzhao Yu |
| MMAC | 0.1.2 | Data for Mathematical Modeling and Applied Calculus | Joel Kilty |
| MMAD | 1.0.0 | MM Algorithm Based on the Assembly-Decomposition Technology | Dengge Liu |
| mmand | 1.6.3 | Mathematical Morphology in Any Number of Dimensions | Jon Clayden |
| mmap | 0.6-22 | Map Pages of Memory | Jeffrey A. Ryan |
| mmapcharr | 0.3.0 | Memory-Map Character Files | Florian Privé |
| mmaqshiny | 1.0.0 | Explore Air-Quality Mobile-Monitoring Data | Adithi R. Upadhya |
| mMARCH.AC | 2.9.2.0 | Processing of Accelerometry Data with 'GGIR' in mMARCH | Wei Guo |
| mmb | 0.13.3 | Arbitrary Dependency Mixed Multivariate Bayesian Models | Sebastian Hönel |
| mmc | 0.0.3 | Multivariate Measurement Error Correction | Jaejoon Song |
| mmcards | 0.1.1 | Playing Cards Utility Functions | Mackson Ncube |
| mmcif | 0.1.1 | Mixed Multivariate Cumulative Incidence Functions | Benjamin Christoffersen |
| mmcm | 1.2-8 | Modified Maximum Contrast Method | Kengo Nagashima |
| mmconvert | 0.10 | Mouse Map Converter | Karl W Broman |
| Mmcsd | 1.0.0 | Modeling Complex Longitudinal Data in a Quick and Easy Way | Pedro Pacheco |
| MMD | 1.0.0 | Minimal Multilocus Distance (MMD) for Source Attribution and
Loci Selection | Francisco Perez-Reche |
| MMDai | 2.0.0 | Multivariate Multinomial Distribution Approximation and
Imputation for Incomplete Categorical Data | Chaojie Wang |
| MMDCopula | 0.2.1 | Robust Estimation of Copulas by Maximum Mean Discrepancy | Alexis Derumigny |
| MMDvariance | 0.0.9 | Detecting Differentially Variable Genes Using the Mixture of
Marginal Distributions | Weiliang Qiu |
| mme | 0.1-6 | Multinomial Mixed Effects Models | E. Lopez-Vizcaino |
| mmeln | 1.5 | Estimation of Multinormal Mixture Distribution | Charles-Edouard Giguere |
| MMeM | 0.1.1 | Multivariate Mixed Effects Model | Luyao Peng |
| mmeta | 3.0.0 | Multivariate Meta-Analysis | Jiajie Chen |
| mmibain | 0.1.1 | Bayesian Informative Hypotheses Evaluation Web Applications | Mackson Ncube |
| mmiCATs | 0.1.1 | Cluster Adjusted t Statistic Applications | Mackson Ncube |
| MMINP | 0.1.0 | Microbe-Metabolite Interactions-Based Metabolic Profiles
Predictor | Wenli Tang <1071429394 at qq.com> |
| mmirestriktor | 0.2.1 | Informative Hypothesis Testing Web Applications | Mackson Ncube |
| MMLR | 0.2.0 | Fitting Markov-Modulated Linear Regression Models | Nadezda Spiridovska |
| mmmgee | 1.20 | Simultaneous Inference for Multiple Linear Contrasts in GEE
Models | Robin Ristl |
| MMOC | 0.1.1.0 | Multi-Omic Spectral Clustering using the Flag Manifold | Charlie Carpenter |
| mmod | 1.3.3 | Modern Measures of Population Differentiation | David Winter |
| mmodely | 0.2.5 | Modeling Multivariate Origins Determinants - Evolutionary
Lineages in Ecology | David M Schruth |
| mMPA | 1.2.0 | Implementation of Marker-Assisted Mini-Pooling with Algorithm | "Tao Liu, PhD" |
| mmpca | 2.0.3 | Integrative Analysis of Several Related Data Matrices | Felix Held |
| mmpf | 0.0.5 | Monte-Carlo Methods for Prediction Functions | Zachary Jones |
| mmpp | 0.6 | Various Similarity and Distance Metrics for Marked Point
Processes | Hideitsu Hino |
| mmr | 0.1.0 | Matrix Multiplication on Data.frames | Steve Condylios |
| MMRcaseselection | 0.1.0 | Case Classification and Selection Based on Regression Results | Ingo Rohlfing |
| mmrm | 0.3.11 | Mixed Models for Repeated Measures | Daniel Sabanes Bove |
| mmsample | 0.1 | Multivariate Matched Sampling | Eoin O'Connell |
| mmstat4 | 0.1.6 | Access to Teaching Materials from a ZIP File or GitHub | Sigbert Klinke |
| mmtsne | 0.1.0 | Multiple Maps t-SNE | Benjamin J. Radford |
| MMVBVS | 0.8.0 | Missing Multivariate Bayesian Variable Selection | Tae Kim |
| MMWRweek | 0.1.3 | Convert Dates to MMWR Day, Week, and Year | Jarad Niemi |
| MNARclust | 1.1.0 | Clustering Data with Non-Ignorable Missingness using
Semi-Parametric Mixture Models | Matthieu Marbac |
| MNB | 1.1.0 | Diagnostic Tools for a Multivariate Negative Binomial Model | Jalmar Carrasco |
| mnda | 1.0.9 | Multiplex Network Differential Analysis (MNDA) | Behnam Yousefi |
| mnet | 0.1.2 | Modeling Group Differences and Moderation Effects in Statistical
Network Models | Jonas Haslbeck |
| mnis | 0.3.1 | Easy Downloading Capabilities for the Members' Name Information
Service | Evan Odell |
| mniw | 1.0.1 | The Matrix-Normal Inverse-Wishart Distribution | Martin Lysy |
| mnlfa | 0.3-4 | Moderated Nonlinear Factor Analysis | Alexander Robitzsch |
| MNLpred | 0.0.8 | Simulated Predicted Probabilities for Multinomial Logit Models | Manuel Neumann |
| MNLR | 0.1.0 | Interactive Shiny Presentation for Working with Multinomial
Logistic Regression | Kartikeya Bolar |
| MNM | 1.0-4 | Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks | Klaus Nordhausen |
| mnonr | 1.0.0 | A Generator of Multivariate Non-Normal Random Numbers | Wen Qu |
| mnorm | 1.2.2 | Multivariate Normal Distribution | Bogdan Potanin |
| mnormt | 2.1.1 | The Multivariate Normal and t Distributions, and Their Truncated
Versions | Adelchi Azzalini |
| MNP | 3.1-4 | Fitting the Multinomial Probit Model | Kosuke Imai |
| mnreadR | 2.1.7 | MNREAD Parameters Estimation and Curve Plotting | Aurélie Calabrèse |
| MNS | 1.0 | Mixed Neighbourhood Selection | Ricardo Pio Monti |
| mnt | 1.3 | Affine Invariant Tests of Multivariate Normality | Bruno Ebner |
| mob | 0.4.2 | Monotonic Optimal Binning | WenSui Liu |
| MobileTrigger | 0.0.31 | Run Reports, Models, and Scripts from a Mobile Device | Kenith Grey |
| mobilityIndexR | 0.2.1 | Calculates Transition Matrices and Mobility Indices | Brett Mullins |
| MoBPS | 1.6.64 | Modular Breeding Program Simulator | Torsten Pook |
| mobr | 2.0.2 | Measurement of Biodiversity | Daniel McGlinn |
| mobsim | 0.3.1 | Spatial Simulation and Scale-Dependent Analysis of Biodiversity
Changes | Felix May |
| MOCCA | 1.4 | Multi-Objective Optimization for Collecting Cluster Alternatives | Hans Kestler |
| MOCHA | 1.1.0 | Modeling for Single-Cell Open Chromatin Analysis | Imran McGrath |
| mockery | 0.4.4 | Mocking Library for R | Hadley Wickham |
| mockr | 0.2.1 | Mocking in R | Kirill Müller |
| mockthat | 0.2.8 | Function Mocking for Unit Testing | Nicolas Bennett |
| mod | 0.1.3 | Lightweight and Self-Contained Modules for Code Organization | Siqi Zhang |
| mod09nrt | 0.14 | Extraction of Bands from MODIS Surface Reflectance Product MOD09
NRT | Rishabh Gupta |
| mod2rm | 0.2.1 | Moderation Analysis for Two-Instance Repeated Measures Designs | Matthias Forstmann |
| modACDC | 2.0.1 | Association of Covariance for Detecting Differential
Co-Expression | Katelyn Queen |
| Modalclust | 0.7 | Hierarchical Modal Clustering | Surajit Ray |
| modeest | 2.4.0 | Mode Estimation | Paul Poncet |
| modehunt | 1.0.7 | Multiscale Analysis for Density Functions | Kaspar Rufibach |
| model4you | 0.9-7 | Stratified and Personalised Models Based on Model-Based Trees
and Forests | Heidi Seibold |
| modelbased | 0.8.7 | Estimation of Model-Based Predictions, Contrasts and Means | Dominique Makowski |
| modelbpp | 0.1.3 | Model BIC Posterior Probability | Shu Fai Cheung |
| modelc | 1.0.0.0 | A Linear Model to 'SQL' Compiler | Hugo Saavedra |
| Modelcharts | 0.1.0 | Classification Model Charts | Krishna Harsha K H |
| modeldata | 1.3.0 | Data Sets Useful for Modeling Examples | Max Kuhn |
| modeldatatoo | 0.3.0 | More Data Sets Useful for Modeling Examples | Emil Hvitfeldt |
| modeldb | 0.3.0 | Fits Models Inside the Database | Max Kuhn |
| modelDown | 1.1 | Make Static HTML Website for Predictive Models | Kamil Romaszko |
| modelenv | 0.1.1 | Provide Tools to Register Models for Use in 'tidymodels' | Emil Hvitfeldt |
| Modeler | 3.4.5 | Classes and Methods for Training and Using Binary Prediction
Models | Kevin R. Coombes |
| modelfactory | 1.0.0 | Combine Statistical Models into a Tibble for Comparison | Will Tirone |
| modelfree | 1.2 | Model-Free Estimation of a Psychometric Function | Kamila Zychaluk |
| modelimpact | 1.0.0 | Functions to Assess the Business Impact of Churn Prediction
Models | Peer Christensen |
| modeLLtest | 1.0.4 | Compare Models with Cross-Validated Log-Likelihood | Shana Scogin |
| ModelMap | 3.4.0.4 | Modeling and Map Production using Random Forest and Related
Stochastic Models | Elizabeth Freeman |
| ModelMatrixModel | 0.1.0 | Create Model Matrix and Save the Transforming Parameters | Xinyong Tian |
| ModelMetrics | 1.2.2.2 | Rapid Calculation of Model Metrics | Tyler Hunt |
| modelObj | 4.2 | A Model Object Framework for Regression Analysis | Shannon T. Holloway |
| modelr | 0.1.11 | Modelling Functions that Work with the Pipe | Hadley Wickham |
| modelSSE | 0.1-3 | Modelling Infectious Disease Superspreading from Contact Tracing
Data | Shi Zhao |
| modelStudio | 3.1.2 | Interactive Studio for Explanatory Model Analysis | Hubert Baniecki |
| modelsummary | 2.0.0 | Summary Tables and Plots for Statistical Models and Data:
Beautiful, Customizable, and Publication-Ready | Vincent Arel-Bundock |
| modeltests | 0.1.5 | Testing Infrastructure for Broom Model Generics | Alex Hayes |
| modeltime | 1.2.8 | The Tidymodels Extension for Time Series Modeling | Matt Dancho |
| modeltime.resample | 0.2.3 | Resampling Tools for Time Series Forecasting | Matt Dancho |
| modeltools | 0.2-23 | Tools and Classes for Statistical Models | Torsten Hothorn |
| modelwordcloud | 0.1 | Model Word Clouds | Peter Hurford |
| moder | 0.2.1 | Mode Estimation | Lukas Jung |
| moderate.mediation | 0.0.8 | Causal Moderated Mediation Analysis | Xu Qin |
| moderndive | 0.5.5 | Tidyverse-Friendly Introductory Linear Regression | Albert Y. Kim |
| modernVA | 0.1.3 | An Implementation of Two Modern Education-Based Value-Added
Models | Garritt L. Page |
| modest | 0.3-1 | Model-Based Dose-Escalation Trials | Philip Pallmann |
| ModEstM | 0.0.1 | Mode Estimation, Even in the Multimodal Case | Jerome Collet |
| modesto | 0.1.4 | Modeling and Analysis of Stochastic Systems | Carlos Alberto Cardozo Delgado |
| modEvA | 3.13.3 | Model Evaluation and Analysis | A. Marcia Barbosa |
| modgetxl | 0.4 | A 'shiny' Module for Reading Excel Sheets | Yadu Balehosur |
| modi | 0.1.2 | Multivariate Outlier Detection and Imputation for Incomplete
Survey Data | Beat Hulliger |
| modifiedmk | 1.6 | Modified Versions of Mann Kendall and Spearman's Rho Trend Tests | Sandeep Kumar Patakamuri |
| MODISTools | 1.1.5 | Interface to the 'MODIS Land Products Subsets' Web Services | Koen Hufkens |
| modmarg | 0.9.6 | Calculating Marginal Effects and Levels with Errors | Annie Wang |
| modMax | 1.1 | Community Structure Detection via Modularity Maximization | Maria Schelling |
| modnets | 0.9.0 | Modeling Moderated Networks | Trevor Swanson |
| modopt.matlab | 1.0-2 | 'MatLab'-Style Modeling of Optimization Problems | Ronald Hochreiter |
| modQR | 0.1.3 | Multiple-Output Directional Quantile Regression | Pavel Boček |
| modsem | 0.1.0 | Latent Interaction (and Moderation) Analysis in Structural
Equation Models (SEM) | Kjell Solem Slupphaug |
| ModStatR | 1.3.3 | Statistical Modelling in Action with R | Frederic Bertrand |
| ModTools | 0.9.6 | Tools for Building Regression and Classification Models | Andri Signorell |
| modTurPoint | 0.1.0 | Estimate ED50 Based on Modified Turning Point Method | Yongbo Gan |
| moduleColor | 1.8-4 | Basic Module Functions | Peter Langfelder |
| modules | 0.13.0 | Self Contained Units of Source Code | Sebastian Warnholz |
| MOEADr | 1.1.3 | Component-Wise MOEA/D Implementation | Felipe Campelo |
| MoEClust | 1.5.2 | Gaussian Parsimonious Clustering Models with Covariates and a
Noise Component | Keefe Murphy |
| moexer | 0.3.0 | Interact with Moscow Exchange Informational and Statistical
Server ('ISS') | Dmitry Zotikov |
| MOFAT | 1.0 | Maximum One-Factor-at-a-Time Designs | V. Roshan Joseph |
| mogavs | 1.1.0 | Multiobjective Genetic Algorithm for Variable Selection in
Regression | Tommi Pajala |
| mojson | 0.1 | A Serialization-Style Flattening and Description for JSON | Bo Wei |
| mokken | 3.1.0 | Conducts Mokken Scale Analysis | L. Andries van der Ark |
| molaR | 5.3 | Dental Surface Complexity Measurement Tools | James D. Pampush |
| MoLE | 1.0.1 | Modeling Language Evolution | Sander Lestrade |
| MolgenisArmadillo | 2.3.0 | Armadillo Client for the Armadillo Service | Mariska Slofstra |
| MolgenisAuth | 0.0.25 | 'OpenID Connect' Discovery and Authentication | Mariska Slofstra |
| MOLHD | 0.2 | Multiple Objective Latin Hypercube Design | Ruizhe Hou |
| mombf | 3.5.4 | Model Selection with Bayesian Methods and Information Criteria | David Rossell |
| momentchi2 | 0.1.5 | Moment-Matching Methods for Weighted Sums of Chi-Squared Random
Variables | Dean Bodenham |
| momentfit | 0.5 | Methods of Moments | Pierre Chausse |
| moments | 0.14.1 | Moments, Cumulants, Skewness, Kurtosis and Related Tests | Lukasz Komsta |
| momentuHMM | 1.5.5 | Maximum Likelihood Analysis of Animal Movement Behavior Using
Multivariate Hidden Markov Models | Brett McClintock |
| Momocs | 1.4.1 | Morphometrics using R | Vincent Bonhomme |
| MomTrunc | 6.0 | Moments of Folded and Doubly Truncated Multivariate
Distributions | Christian E. Galarza |
| monaco | 0.2.2 | The 'Monaco' Editor as a HTML Widget | Stéphane Laurent |
| MoNAn | 0.1.3 | Mobility Network Analysis | Per Block |
| monashtipr | 0.1.0 | An R API Wrapper for the Monash University Probabilistic Footy
Tipping Competition | James Day |
| mondate | 1.0 | Keep Track of Dates in Terms of Months | Dan Murphy |
| Mondrian | 1.1-1 | A Simple Graphical Representation of the Relative Occurrence and
Co-Occurrence of Events | Aurélie Siberchicot |
| MonetDB.R | 2.0.0 | Connect MonetDB to R | Mitchell Weggemans |
| mongolite | 2.7.3 | Fast and Simple 'MongoDB' Client for R | Jeroen Ooms |
| mongopipe | 0.1.1 | Query MongoDB Documents with R | Oliver Haag |
| monitoR | 1.0.7 | Acoustic Template Detection in R | Sasha D. Hafner |
| monitOS | 0.1.5 | Monitoring Overall Survival in Pivotal Trials in Indolent
Cancers | Thibaud Coroller |
| monmlp | 1.1.5 | Multi-Layer Perceptron Neural Network with Optional Monotonicity
Constraints | Alex J. Cannon |
| monobin | 0.2.4 | Monotonic Binning for Credit Rating Models | Andrija Djurovic |
| monobinShiny | 0.1.0 | Shiny User Interface for 'monobin' Package | Andrija Djurovic |
| monochromeR | 0.2.0 | Easily Create, View and Use Monochrome Colour Palettes | Cara Thompson |
| monoClust | 1.2.1 | Perform Monothetic Clustering with Extensions to Circular Data | Tan Tran |
| monographaR | 1.3.1 | Taxonomic Monographs Tools | Marcelo Reginato |
| MonoInc | 1.1 | Monotonic Increasing | Michele Josey |
| monomvn | 1.9-20 | Estimation for MVN and Student-t Data with Monotone Missingness | Robert B. Gramacy |
| MonoPoly | 0.3-10 | Functions to Fit Monotone Polynomials | Berwin A. Turlach |
| monoreg | 2.1 | Bayesian Monotonic Regression Using a Marked Point Process
Construction | Olli Saarela |
| monotone | 0.1.2 | Performs Monotone Regression | Frank Busing |
| monotonicity | 1.3.1 | Test for Monotonicity in Expected Asset Returns, Sorted by
Portfolios | Siegfried Köstlmeier |
| monreg | 0.1.4.1 | Nonparametric Monotone Regression | Scott Kostyshak |
| Monte.Carlo.se | 0.1.1 | Monte Carlo Standard Errors | Dennis Boos |
| MonteCarlo | 1.0.6 | Automatic Parallelized Monte Carlo Simulations | Christian Hendrik Leschinski |
| MonteCarloSEM | 0.0.8 | Monte Carlo Data Simulation Package | Fatih Orcan |
| moodef | 1.1.0 | Defining 'Moodle' Elements from R | Jose Samos |
| moodlequizR | 2.1.0 | Easily Create Fully Randomized 'Moodle' Test Questions | Wolfgang Rolke |
| moodleR | 1.0.1 | Helper Functions to Work with 'Moodle' Data | Aleksander Dietrichson |
| moonBook | 0.3.1 | Functions and Datasets for the Book by Keon-Woong Moon | Keon-Woong Moon |
| moose | 0.0.1 | Mean Squared Out-of-Sample Error Projection | Chris Rohlfs |
| mop | 0.1.2 | Mobility Oriented-Parity Metric | Marlon E. Cobos |
| mopac | 0.1.0 | Collection of Datasets Pertaining to Loop 1 "Mopac" | Scott McKenzie |
| MOQA | 2.0.0 | Basic Quality Data Assurance for Epidemiological Research | Martin Bialke |
| moreparty | 0.4 | A Toolbox for Conditional Inference Trees and Random Forests | Nicolas Robette |
| morepls | 0.1 | Interpretation Tools for Partial Least Squares Regression | Nicolas Robette |
| morestopwords | 0.2.0 | All Stop Words in One Place | Fabio Ashtar Telarico |
| morph | 1.1.0 | 3D Segmentation of Voxels into Morphologic Classes | Tarmo K. Remmel |
| morphemepiece | 1.2.3 | Morpheme Tokenization | Jonathan Bratt |
| morphemepiece.data | 1.2.0 | Data for Morpheme Tokenization | Jon Harmon |
| morpheus | 1.0-4 | Estimate Parameters of Mixtures of Logistic Regressions | Benjamin Auder |
| Morpho | 2.12 | Calculations and Visualisations Related to Geometric
Morphometrics | Stefan Schlager |
| morphomap | 1.5 | Morphometric Maps, Bone Landmarking and Cross Sectional Geometry | Antonio Profico |
| Morphoscape | 1.0.2 | Computation and Visualization of Adaptive Landscapes | Blake Dickson |
| MorphoTools2 | 1.0.1.1 | Multivariate Morphometric Analysis | Marek Šlenker |
| morse | 3.3.2 | Modelling Reproduction and Survival Data in Ecotoxicology | Virgile Baudrot |
| mort | 0.0.1 | Identifying Potential Mortalities and Expelled Tags in Aquatic
Acoustic Telemetry Arrays | Rosie Smith |
| mortAAR | 1.1.6 | Analysis of Archaeological Mortality Data | Nils Mueller-Scheessel |
| MortalityGaps | 1.0.0 | The Double-Gap Life Expectancy Forecasting Model | Marius D. Pascariu |
| MortalityLaws | 2.1.0 | Parametric Mortality Models, Life Tables and HMD | Marius D. Pascariu |
| MortalityTables | 2.0.5 | A Framework for Various Types of Mortality / Life Tables | Reinhold Kainhofer |
| MortCast | 2.7-0 | Estimation and Projection of Age-Specific Mortality Rates | Hana Sevcikova |
| mosaic | 1.9.1 | Project MOSAIC Statistics and Mathematics Teaching Utilities | Randall Pruim |
| mosaicCalc | 0.6.1 | R-Language Based Calculus Operations for Teaching | Daniel Kaplan |
| mosaicCore | 0.9.4.0 | Common Utilities for Other MOSAIC-Family Packages | Randall Pruim |
| mosaicData | 0.20.4 | Project MOSAIC Data Sets | Randall Pruim |
| mosaicModel | 0.3.0 | An Interface to Statistical Modeling Independent of Model
Architecture | Daniel Kaplan |
| mosqcontrol | 0.1.0 | Mosquito Control Resource Optimization | Travis Byrum |
| MOSS | 0.2.2 | Multi-Omic Integration via Sparse Singular Value Decomposition | Agustin Gonzalez-Reymundez |
| MOST | 0.1.2 | Multiphase Optimization Strategy | John Dziak |
| mosum | 1.2.7 | Moving Sum Based Procedures for Changes in the Mean | Haeran Cho |
| MoTBFs | 1.4.1 | Learning Hybrid Bayesian Networks using Mixtures of Truncated
Basis Functions | Ana D. Maldonado |
| MOTE | 1.0.2 | Effect Size and Confidence Interval Calculator | Erin M. Buchanan |
| motif | 0.6.4 | Local Pattern Analysis | Jakub Nowosad |
| motifcluster | 0.2.3 | Motif-Based Spectral Clustering of Weighted Directed Networks | William George Underwood |
| motifr | 1.0.0 | Motif Analysis in Multi-Level Networks | Mario Angst |
| motmot | 2.1.3 | Models of Trait Macroevolution on Trees | Mark Puttick |
| motoRneuron | 1.0.0 | Analyzing Paired Neuron Discharge Times for Time-Domain
Synchronization | Andrew Tweedell |
| moult | 2.3.1 | Models for Analysing Moult in Birds | Birgit Erni |
| mountainplot | 1.4 | Mountain Plots, Folded Empirical Cumulative Distribution Plots | Kevin Wright |
| mousetRajectory | 0.2.1 | Mouse Trajectory Analyses for Behavioural Scientists | Roland Pfister |
| mousetrap | 3.2.3 | Process and Analyze Mouse-Tracking Data | Pascal J. Kieslich |
| move | 4.2.4 | Visualizing and Analyzing Animal Track Data | Bart Kranstauber |
| move2 | 0.2.7 | Processing and Analysing Animal Trajectories | Bart Kranstauber |
| movecost | 2.1 | Calculation of Slope-Dependant Accumulated Cost Surface,
Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks
Related to Human Movement Across the Landscape | Gianmarco Alberti |
| movegroup | 2024.03.05 | Visualizing and Quantifying Space Use Data for Groups of Animals | Simon Dedman |
| moveHMM | 1.9 | Animal Movement Modelling using Hidden Markov Models | Theo Michelot |
| movementsync | 0.1.4 | Analysis and Visualisation of Musical Audio and Video Movement
Synchrony Data | Tuomas Eerola |
| moveWindSpeed | 0.2.4 | Estimate Wind Speeds from Bird Trajectories | Bart Kranstauber |
| movieROC | 0.1.0 | Visualizing the Decision Rules Underlying Binary Classification | Sonia Perez-Fernandez |
| movMF | 0.2-8 | Mixtures of von Mises-Fisher Distributions | Kurt Hornik |
| mp | 0.4.1 | Multidimensional Projection Techniques | Francisco M. Fatore |
| mpae | 0.1.2 | Metodos Predictivos de Aprendizaje Estadistico (Statistical
Learning Predictive Methods) | Ruben Fernandez-Casal |
| mpath | 0.4-2.25 | Regularized Linear Models | Zhu Wang |
| mpathsenser | 1.2.3 | Process and Analyse Data from m-Path Sense | Koen Niemeijer |
| MPBoost | 0.1-6 | Treatment Allocation in Clinical Trials by the Maximal Procedure | Ignacio López-de-Ullibarri |
| MPCI | 1.0.7 | Multivariate Process Capability Indices (MPCI) | Edgar Santos-Fernandez |
| MPDiR | 0.2 | Data Sets and Scripts for Modeling Psychophysical Data in R | Ken Knoblauch |
| MPGE | 1.0.0 | A Two-Step Approach to Testing Overall Effect of
Gene-Environment Interaction for Multiple Phenotypes | Arunabha Majumdar |
| MPI | 0.1.0 | Computation of Multidimensional Poverty Index (MPI) | Kittiya Kukiattikun |
| mpindex | 0.2.1 | Multidimensional Poverty Index (MPI) | Bhas Abdulsamad |
| mpitbR | 1.0.0 | Calculate Alkire-Foster Multidimensional Poverty Measures | Ignacio Girela |
| MPLikelihoodWB | 1.1 | Modified Profile Likelihood Estimation for Weibull Shape and
Regression Parameters | Hasinur Rahaman Khan |
| mplot | 1.0.6 | Graphical Model Stability and Variable Selection Procedures | Garth Tarr |
| MplusAutomation | 1.1.1 | An R Package for Facilitating Large-Scale Latent Variable
Analyses in Mplus | Michael Hallquist |
| mplusParallel.automation | 0.0.1.1 | Parallel Processing Automation for 'Mplus' | Jake Plantz |
| MplusTrees | 0.2.2 | Decision Trees with Structural Equation Models Fit in 'Mplus' | Sarfaraz Serang |
| mpm | 1.0-23 | Multivariate Projection Methods | Laure Cougnaud |
| mpmcorrelogram | 0.1-4 | Multivariate Partial Mantel Correlogram | Marcelino de la Cruz |
| mpmi | 0.43.2.1 | Mixed-Pair Mutual Information Estimators | Chris Pardy |
| mpmsim | 2.0.0 | Simulation of Matrix Population Models with Defined Life History
Characteristics | Owen Jones |
| MPN | 0.3.0 | Most Probable Number and Other Microbial Enumeration Techniques | John Ihrie |
| mpoly | 1.1.1 | Symbolic Computation and More with Multivariate Polynomials | David Kahle |
| mpower | 0.1.0 | Power Analysis via Monte Carlo Simulation for Correlated Data | Phuc H. Nguyen |
| mppR | 1.5.0 | Multi-Parent Population QTL Analysis | Vincent Garin |
| mpr | 1.0.6 | Multi-Parameter Regression (MPR) | Kevin Burke |
| MPS | 2.3.1 | Estimating Through the Maximum Product Spacing Approach | Mahdi Teimouri |
| MPSEM | 0.4-1 | Modeling Phylogenetic Signals using Eigenvector Maps | Guillaume Guenard |
| mpspline2 | 0.1.6 | Mass-Preserving Spline Functions for Soil Data | Lauren O'Brien |
| MPsychoR | 0.10-8 | Modern Psychometrics with R | Patrick Mair |
| mpt | 0.8-0 | Multinomial Processing Tree Models | Florian Wickelmaier |
| MPTinR | 1.14.1 | Analyze Multinomial Processing Tree Models | Henrik Singmann |
| MPTmultiverse | 0.4-2 | Multiverse Analysis of Multinomial Processing Tree Models | Henrik Singmann |
| MPV | 1.63 | Data Sets from Montgomery, Peck and Vining | W.J. Braun |
| mpwR | 0.1.5 | Standardized Comparison of Workflows in Mass Spectrometry-Based
Bottom-Up Proteomics | Oliver Kardell |
| MQMF | 0.1.5 | Modelling and Quantitative Methods in Fisheries | Malcolm Haddon |
| Mqrcm | 1.3 | M-Quantile Regression Coefficients Modeling | Paolo Frumento |
| mr.pivw | 0.1.1 | Penalized Inverse-Variance Weighted Estimator for Mendelian
Randomization | Siqi Xu |
| mr.raps | 0.2 | Two Sample Mendelian Randomization using Robust Adjusted Profile
Score | Qingyuan Zhao |
| MR.RGM | 0.0.2 | Multivariate Bidirectional Mendelian Randomization Networks | Bitan Sarkar |
| mra | 2.16.11 | Mark-Recapture Analysis | Trent McDonald |
| mratios | 1.4.2 | Ratios of Coefficients in the General Linear Model | Frank Schaarschmidt |
| mrbayes | 0.5.1 | Bayesian Summary Data Models for Mendelian Randomization Studies | Okezie Uche-Ikonne |
| mrbin | 1.7.4 | Metabolomics Data Analysis Functions | Matthias Klein |
| mrbsizeR | 1.3 | Scale Space Multiresolution Analysis of Random Signals | Roman Flury |
| mRc | 0.1.0 | Multi-Visit Closed Population Mark-Recapture Estimates | Kyle Dettloff |
| MRCE | 2.4 | Multivariate Regression with Covariance Estimation | Adam J. Rothman |
| mrct | 0.0.1.0 | Outlier Detection of Functional Data Based on the Minimum
Regularized Covariance Trace Estimator | Jeremy Oguamalam |
| mrds | 2.3.0 | Mark-Recapture Distance Sampling | Laura Marshall |
| mreg | 1.2.1 | Fits Regression Models When the Outcome is Partially Missing | Simon Bond |
| mrf | 0.1.6 | Multiresolution Forecasting | Quirin Stier |
| mrf2d | 1.0 | Markov Random Field Models for Image Analysis | Victor Freguglia |
| MRFA | 0.6 | Fitting and Predicting Large-Scale Nonlinear Regression Problems
using Multi-Resolution Functional ANOVA (MRFA) Approach | Chih-Li Sung |
| MRFcov | 1.0.39 | Markov Random Fields with Additional Covariates | Nicholas J Clark |
| mrfDepth | 1.0.16 | Depth Measures in Multivariate, Regression and Functional
Settings | Jakob Raymaekers |
| mrfse | 0.4.1 | Markov Random Field Structure Estimator | Rodrigo Carvalho |
| mrgsim.parallel | 0.2.1 | Simulate with 'mrgsolve' in Parallel | Kyle Baron |
| mrgsim.sa | 0.2.0 | Sensitivity Analysis with 'mrgsolve' | Kyle Baron |
| mrgsolve | 1.4.1 | Simulate from ODE-Based Models | Kyle T Baron |
| MRHawkes | 1.0 | Multivariate Renewal Hawkes Process | Tom Stindl |
| mri | 1.0.1 | Modified Rand and Wallace Indices | Marjan Cugmas |
| mritc | 0.5-3 | MRI Tissue Classification | Jon Clayden |
| MRMCaov | 0.3.0 | Multi-Reader Multi-Case Analysis of Variance | Brian J Smith |
| MRMCsamplesize | 1.0.0 | Sample Size Estimations for Planning Multi-Reader Multi-Case
(MRMC) Studies Without Pilot Data | Dennis Robert |
| MRmediation | 1.0.1 | A Causal Mediation Method with Methylated Region (MR) as the
Mediator | Qi Yan |
| mrMLM | 5.0.1 | Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS | Yuan-Ming Zhang |
| mrMLM.GUI | 4.0.2 | Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for
Genome-Wide Association Study with Graphical User Interface | Yuanming Zhang |
| mRMRe | 2.1.2.1 | Parallelized Minimum Redundancy, Maximum Relevance (mRMR) | Benjamin Haibe-Kains |
| mro | 0.1.1 | Multiple Correlation | Abirami S |
| MRPC | 3.1.0 | PC Algorithm with the Principle of Mendelian Randomization | Audrey Fu |
| mRpostman | 1.1.2 | An IMAP Client for R | Allan Quadros |
| MRQoL | 1.0 | Minimal Clinically Important Difference and Response Shift
Effect for Health-Related Quality of Life | Ahmad Ousmen |
| MRReg | 0.1.5 | MDL Multiresolution Linear Regression Framework | Chainarong Amornbunchornvej |
| mrregression | 1.0.0 | Regression Analysis for Very Large Data Sets via Merge and
Reduce | Leo N. Geppert |
| MRS | 1.2.6 | Multi-Resolution Scanning for Cross-Sample Differences | Li Ma |
| MRTAnalysis | 0.1.2 | Primary and Secondary Analyses for Micro-Randomized Trials | Tianchen Qian |
| MRTSampleSize | 0.3.0 | A Sample Size Calculator for Micro-Randomized Trials | Peng Liao |
| MRTSampleSizeBinary | 0.1.2 | Sample Size Calculator for MRT with Binary Outcomes | Tianchen Qian |
| MRZero | 0.1.0 | Diet Mendelian Randomization | Stephen Burgess |
| ms.sev | 1.0.4 | Package for Calculation of ARMSS, Local MSSS and Global MSSS | Helga Westerlind |
| msae | 0.1.5 | Multivariate Fay Herriot Models for Small Area Estimation | Novia Permatasari |
| msaeHB | 0.1.0 | Multivariate Small Area Estimation using Hierarchical Bayesian
Method | Novia Permatasari |
| msaenet | 3.1.1 | Multi-Step Adaptive Estimation Methods for Sparse Regressions | Nan Xiao |
| msaFACE | 0.1.0 | Moving Subset Analysis FACE | Lukas W. Lehnert |
| msamp | 1.0.0 | Estimate Sample Size to Detect Bacterial Contamination in a
Product Lot | Martine Ferguson |
| msaR | 0.6.0 | Multiple Sequence Alignment for R Shiny | Zachary Charlop-Powers |
| MSbox | 1.4.8 | Mass Spectrometry Tools | Yonghui Dong |
| msBP | 1.4-1 | Multiscale Bernstein Polynomials for Densities | Antonio Canale |
| MSBStatsData | 0.0.2 | Data Sets for Courses at the Münster School of Business | Michael Bücker |
| msce | 1.0.1 | Hazard of Multi-Stage Clonal Expansion Models | Cristoforo Simonetto |
| mschart | 0.4.0 | Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint'
Documents | David Gohel |
| MSclassifR | 0.3.3 | Automated Classification of Mass Spectra | Alexandre Godmer |
| MSclust | 1.0.3 | Multiple-Scaled Clustering | Cristina Tortora |
| MSCMT | 1.4.0 | Multivariate Synthetic Control Method Using Time Series | Martin Becker |
| MScombine | 1.4 | Combine Data from Positive and Negative Ionization Mode Finding
Common Entities | Monica Calderon-Santiago |
| mscp | 1.0 | Multiscale Change Point Detection via Gradual Bandwidth
Adjustment in Moving Sum Processes | Michael Messer |
| MSCquartets | 2.0 | Analyzing Gene Tree Quartets under the Multi-Species Coalescent | John Rhodes |
| MSCsimtester | 1.0.0 | Tests of Multispecies Coalescent Gene Tree Simulator Output | Elizabeth Allman |
| mscstexta4r | 0.1.2 | R Client for the Microsoft Cognitive Services Text Analytics
REST API | Phil Ferriere |
| mscstts | 0.6.3 | R Client for the Microsoft Cognitive Services 'Text-to-Speech'
REST API | John Muschelli |
| mscsweblm4r | 0.1.2 | R Client for the Microsoft Cognitive Services Web Language Model
REST API | Phil Ferriere |
| msd | 0.3.1 | Method of Successive Dichotomizations | Chris Bradley |
| msda | 1.0.3 | Multi-Class Sparse Discriminant Analysis | Yi Yang |
| msde | 1.0.5 | Bayesian Inference for Multivariate Stochastic Differential
Equations | Martin Lysy |
| mseapca | 2.0.3 | Metabolite Set Enrichment Analysis for Loadings | Hiroyuki Yamamoto |
| msentropy | 0.1.4 | Spectral Entropy for Mass Spectrometry Data | Yuanyue Li |
| MSEtool | 3.7.1 | Management Strategy Evaluation Toolkit | Adrian Hordyk |
| MSG | 0.8 | Data and Functions for the Book Modern Statistical Graphics | Yihui Xie |
| MSGARCH | 2.51 | Markov-Switching GARCH Models | Keven Bluteau |
| MSGARCHelm | 0.1.0 | Hybridization of MS-GARCH and ELM Model | Rajeev Ranjan Kumar |
| msgpackR | 1.1 | A library to serialize or unserialize data in MessagePack format | Mikiya TANIZAWA <1970mix at gmail.com> |
| msgps | 1.3.5 | Degrees of Freedom of Elastic Net, Adaptive Lasso and
Generalized Elastic Net | Kei Hirose |
| msgr | 1.1.2 | Extends Messages, Warnings and Errors by Adding Levels and Log
Files | Chad Goymer |
| mshap | 0.1.0 | Multiplicative SHAP Values for Two-Part Models | Spencer Matthews |
| msig | 1.0 | An R Package for Exploring Molecular Signatures Database | Jing Zhang |
| msigdbr | 7.5.1 | MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format | Igor Dolgalev |
| MSigSeg | 0.2.0 | Multiple SIGnal SEGmentation | Xuanyu Liu |
| mSigTools | 1.0.7 | Mutational Signature Analysis Tools | Steven Rozen |
| mSimCC | 0.0.3 | Micro Simulation Model for Cervical Cancer Prevention | David Moriña Soler |
| MSiP | 1.3.7 | 'MassSpectrometry' Interaction Prediction | Matineh Rahmatbakhsh |
| msir | 1.3.3 | Model-Based Sliced Inverse Regression | Luca Scrucca |
| mskcc.oncotree | 0.1.1 | Interface to the 'OncoTree' API | Ramiro Magno |
| msltrend | 1.0 | Improved Techniques to Estimate Trend, Velocity and Acceleration
from Sea Level Records | Phil J Watson |
| msm | 1.7.1 | Multi-State Markov and Hidden Markov Models in Continuous Time | Christopher Jackson |
| msma | 3.1 | Multiblock Sparse Multivariable Analysis | Atsushi Kawaguchi |
| msme | 0.5.3 | Functions and Datasets for "Methods of Statistical Model
Estimation" | Andrew Robinson |
| MSmix | 1.0.1 | Finite Mixtures of Mallows Models with Spearman Distance for
Full and Partial Rankings | Cristina Mollica |
| MSML | 1.0.0.1 | Model Selection Based on Machine Learning (ML) | Moksedul Momin |
| msmtools | 2.0.1 | Building Augmented Data to Run Multi-State Models with 'msm'
Package | Francesco Grossetti |
| MSMwRA | 1.5 | Multivariate Statistical Methods with R Applications | Hasan BULUT |
| msos | 1.2.0 | Data Sets and Functions Used in Multivariate Statistics: Old
School by John Marden | James Balamuta |
| MSoutcomes | 0.2.0 | CORe Multiple Sclerosis Outcomes Toolkit | Tomas Kalincik |
| MSPRT | 3.0 | A Modified Sequential Probability Ratio Test (MSPRT) | Sandipan Pramanik |
| MSQC | 1.1.0 | Multivariate Statistical Quality Control | Edgar Santos-Fernandez |
| MSRDT | 0.1.0 | Multi-State Reliability Demonstration Tests (MSRDT) | Suiyao Chen |
| msSPChelpR | 0.9.1 | Helper Functions for Second Primary Cancer Analyses | Marian Eberl |
| MSSQL | 1.0.0 | Tools to Work with Microsoft SQL Server Databases via 'RODBC' | Arni Magnusson |
| MST | 2.2 | Multivariate Survival Trees | Peter Calhoun |
| mstate | 0.3.2 | Data Preparation, Estimation and Prediction in Multi-State
Models | Hein Putter |
| mStats | 3.4.0 | Epidemiological Data Analysis | Myo Minn Oo |
| mstclustering | 1.0.0.0 | "MST-Based Clustering" | Kevin Michael Frick |
| mstDIF | 0.1.7 | A Collection of DIF Tests for Multistage Tests | Rudolf Debelak |
| mSTEM | 1.0-1 | Multiple Testing of Local Extrema for Detection of Change Points | Zhibing He |
| mstherm | 0.4.7 | Analyze MS/MS Protein Melting Data | Jeremy Volkening |
| mstknnclust | 0.3.2 | MST-kNN Clustering Algorithm | Jorge Parraga-Alava |
| mstR | 1.2 | Procedures to Generate Patterns under Multistage Testing | David Magis |
| mstrio | 11.3.5.101 | Interface for 'MicroStrategy' REST API | Piotr Kowal |
| mstudentd | 1.0.0 | Multivariate t Distribution | Pierre Santagostini |
| msu | 0.0.1 | Multivariate Symmetric Uncertainty and Other Measurements | Elias Maciel |
| MSwM | 1.5 | Fitting Markov Switching Models | Josep A. Sanchez-Espigares |
| mt | 2.0-1.20 | Metabolomics Data Analysis Toolbox | Wanchang Lin |
| MTA | 0.6.0 | Multiscalar Territorial Analysis | Timothée Giraud |
| MTAFT | 0.1.0 | Data-Driven Estimation for Multi-Threshold Accelerate Failure
Time Model | Chuang WAN |
| mtanan | 0.0.1 | Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney Tests | Mohamad Taher Anan |
| MTAR | 0.1.1 | Multi-Trait Analysis of Rare-Variant Association Study | Lan Luo |
| mtb | 0.1.8 | My Toolbox for Assisting Document Editing and Data Presenting | Y Hsu |
| mtdesign | 0.1.0 | Mander and Thompson Designs | John Kirkpatrick |
| MTDrh | 0.1.0 | Mass Transportation Distance Rank Histogram | Didem Sari |
| MTE | 1.2 | Maximum Tangent Likelihood Estimation for Robust Linear
Regression and Variable Selection | Shaobo Li |
| MTest | 1.0.2 | A Procedure for Multicollinearity Testing using Bootstrap | Víctor Morales-Oñate |
| mthapower | 0.1.1 | Sample Size and Power for Association Studies Involving
Mitochondrial DNA Haplogroups | Aurora Baluja |
| mtlgmm | 0.1.0 | Unsupervised Multi-Task and Transfer Learning on Gaussian
Mixture Models | Ye Tian |
| MTLR | 0.2.1 | Survival Prediction with Multi-Task Logistic Regression | Humza Haider |
| MTPS | 1.0.2 | Multi-Task Prediction using Stacking Algorithms | Li Xing |
| MtreeRing | 1.4.5 | A Shiny Application for Automatic Measurements of Tree-Ring
Widths on Digital Images | Jingning Shi |
| MTS | 1.2.1 | All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS)
and Estimating Multivariate Volatility Models | Ruey S. Tsay |
| mtscr | 1.0.1 | Multidimensional Top Scoring for Creativity Research | Jakub Jędrusiak |
| mtsdi | 0.3.5 | Multivariate Time Series Data Imputation | Washington Junger |
| mtsta | 0.0.0.1 | Accessing the Red List of Montane Tree Species of the Tropical
Andes | Paul E. Santos Andrade |
| MTSYS | 1.2.0 | Methods in Mahalanobis-Taguchi (MT) System | Akifumi Okayama |
| mtvc | 1.1.0 | Multiple Counting Process Structure for Survival Analysis | Elia Gonzato |
| MUACz | 2.1.0 | Generate MUAC and BMI z-Scores and Percentiles for Children and
Adolescents | Lazarus Mramba |
| MuChPoint | 0.6.3 | Multiple Change Point | Brault Vincent |
| muckrock | 0.1.0 | Data on Freedom of Information Act Requests | Oliver Keyes |
| mudfold | 1.1.21 | Multiple UniDimensional unFOLDing | Spyros Balafas |
| mueRelativeRisk | 0.1.1 | Relative Risk Based on the Ratio of Median Unbiased Estimates | Rickey Carter |
| muhaz | 1.2.6.4 | Hazard Function Estimation in Survival Analysis | David Winsemius |
| muir | 0.1.0 | Exploring Data with Tree Data Structures | Justin Alford |
| mulgar | 1.0.2 | Functions for Pre-Processing Data for Multivariate Data
Visualisation using Tours | Dianne Cook |
| MullerPlot | 0.1.3 | Generates Muller Plot from Population/Abundance/Frequency
Dynamics Data | Farnoush Farahpour |
| mully | 2.1.38 | Create, Modify and Visualize Multi-Layered Networks | Zaynab Hammoud |
| mulSEM | 1.0 | Some Multivariate Analyses using Structural Equation Modeling | Mike Cheung |
| mulset | 1.0.0 | Multiset Intersection Generator | Ivan Tomic |
| mult.latent.reg | 0.1.7 | Regression and Clustering in Multivariate Response Scenarios | Yingjuan Zhang |
| MultAlloc | 1.2 | Optimal Allocation in Stratified Sampling | Jose Brito |
| MultBiplotR | 23.11.0 | Multivariate Analysis Using Biplots in R | Jose Luis Vicente Villardon |
| multbxxc | 1.0.1 | Auxiliary Routines for Influx Software | Serguei Sokol |
| multcomp | 1.4-25 | Simultaneous Inference in General Parametric Models | Torsten Hothorn |
| multcompView | 0.1-10 | Visualizations of Paired Comparisons | Luciano Selzer |
| multDM | 1.1.4 | Multivariate Version of the Diebold-Mariano Test | Krzysztof Drachal |
| multe | 1.0.0 | Multiple Treatment Effects Regression | Michal Kolesár |
| MultEq | 2.4 | Multiple Equivalence Tests and Simultaneous Confidence Intervals | Mario Hasler |
| multfisher | 1.1 | Optimal Exact Tests for Multiple Binary Endpoints | Robin Ristl |
| multgee | 1.9.0 | GEE Solver for Correlated Nominal or Ordinal Multinomial
Responses | Anestis Touloumis |
| multiActionButton | 1.0.0 | Multi Action Button for 'Shiny' Applications | Stéphane Laurent |
| Multiaovbay | 0.1.0 | Classic, Nonparametric and Bayesian Two-Way Analysis of Variance
Panel | Omar Ruiz-Barzola |
| multiApply | 2.1.4 | Apply Functions to Multiple Multidimensional Arrays or Vectors | An-Chi Ho |
| multiAssetOptions | 0.1-2 | Finite Difference Method for Multi-Asset Option Valuation | Michael Eichenberger |
| MultiATSM | 0.3.5 | Multicountry Term Structure of Interest Rates Models | Rubens Moura |
| MultiBD | 0.2.0 | Multivariate Birth-Death Processes | Marc A. Suchard |
| multibias | 1.4.0 | Simultaneous Multi-Bias Adjustment | Paul Brendel |
| multibiasmeta | 0.2.2 | Sensitivity Analysis for Multiple Biases in Meta-Analyses | Peter Solymos |
| multibiplotGUI | 1.1 | Multibiplot Analysis in R | Ana Belen Nieto Librero |
| multiblock | 0.8.8.1 | Multiblock Data Fusion in Statistics and Machine Learning | Kristian Hovde Liland |
| multibreakeR | 0.1.0 | Tests for a Structural Change in Multivariate Time Series | Loic Marechal |
| multibridge | 1.2.0 | Evaluating Multinomial Order Restrictions with Bridge Sampling | Alexandra Sarafoglou |
| multiCA | 1.1 | Multinomial Cochran-Armitage Trend Test | Aniko Szabo |
| multicastR | 2.0.0 | A Companion to the Multi-CAST Collection | Nils Norman Schiborr |
| multichull | 1.0.1 | A Generic Convex-Hull-Based Model Selection Method | Kristof Meers |
| multiclassPairs | 0.4.3 | Build MultiClass Pair-Based Classifiers using TSPs or RF | Nour-al-dain Marzouka |
| MultiClassROC | 0.1.0 | ROC Curves for Multi-Class Analysis | Marton Varga |
| multicmp | 1.1 | Flexible Modeling of Multivariate Count Data via the
Multivariate Conway-Maxwell-Poisson Distribution | Diag Davenport |
| MultiCOAP | 1.1 | High-Dimensional Covariate-Augmented Overdispersed Multi-Study
Poisson Factor Model | Wei Liu |
| multiColl | 2.0 | Collinearity Detection in a Multiple Linear Regression Model | R. Salmeron |
| multicool | 1.0.1 | Permutations of Multisets in Cool-Lex Order | James Curran |
| multid | 1.0.0 | Multivariate Difference Between Two Groups | Ville-Juhani Ilmarinen |
| multiDimBio | 1.2.2 | Multivariate Analysis and Visualization for Biological Data | Samuel V. Scarpino |
| multidplyr | 0.1.3 | A Multi-Process 'dplyr' Backend | Hadley Wickham |
| multifamm | 0.1.1 | Multivariate Functional Additive Mixed Models | Alexander Volkmann |
| multiFANOVA | 0.1.0 | Multiple Contrast Tests for Functional Data | Lukasz Smaga |
| multifear | 0.1.3 | Multiverse Analyses for Conditioning Data | Angelos-Miltiadis Krypotos |
| MultiFit | 1.1.1 | Multiscale Fisher's Independence Test for Multivariate
Dependence | S. Gorsky |
| multifunc | 0.9.4 | Analysis of Ecological Drivers on Ecosystem Multifunctionality | Jarrett Byrnes |
| multifwf | 0.2.2 | Read Fixed Width Format Files Containing Lines of Different Type | Panos Rontogiannis |
| MultiGlarmaVarSel | 1.0 | Variable Selection in Sparse Multivariate GLARMA Models | Marina Gomtsyan |
| multigraph | 0.99 | Plot and Manipulate Multigraphs | Antonio Rivero Ostoic |
| multigraphr | 0.2.0 | Probability Models and Statistical Analysis of Random
Multigraphs | Termeh Shafie |
| multigroup | 0.4.5 | Multigroup Data Analysis | Aida Eslami |
| MultiGroupO | 0.1.0 | MultiGroup Method and Simulation Data Analysis | Carolina Millap/'an |
| MultiGroupSequential | 1.1.0 | Group-Sequential Procedures with Multiple Hypotheses | Xiaodong Luo |
| MultiJoin | 0.1.1 | Enables Efficient Joining of Data File on Common Fields using
the Unix Utility Join | "Markus Loecher" |
| MultiKink | 0.2.0 | Estimation and Inference for Multi-Kink Quantile Regression | Chuang Wan |
| multilaterals | 1.0 | Transitive Index Numbers for Cross-Sections and Panel Data | Edoardo Baldoni |
| MultiLCIRT | 2.11 | Multidimensional Latent Class Item Response Theory Models | Francesco Bartolucci |
| multilevel | 2.7 | Multilevel Functions | Paul Bliese |
| multilevelmediation | 0.3.1 | Utility Functions for Multilevel Mediation Analysis | Carl F. Falk |
| multilevelmod | 1.0.0 | Model Wrappers for Multi-Level Models | Hannah Frick |
| multilevelPSA | 1.2.5 | Multilevel Propensity Score Analysis | Jason Bryer |
| multilevelTools | 0.1.1 | Multilevel and Mixed Effects Model Diagnostics and Effect Sizes | Joshua F. Wiley |
| multilevLCA | 1.5 | Estimates and Plots Single-Level and Multilevel Latent Class
Models | Roberto Di Mari |
| multilinguer | 0.2.4 | Gentle Language Installer for R User | Chanyub Park |
| multilink | 0.1.1 | Multifile Record Linkage and Duplicate Detection | Serge Aleshin-Guendel |
| multimark | 2.1.6 | Capture-Mark-Recapture Analysis using Multiple Non-Invasive
Marks | Brett T. McClintock |
| multiMarker | 1.0.1 | Latent Variable Model to Infer Food Intake from Multiple
Biomarkers | Silvia D'Angelo |
| multimix | 1.0-10 | Fit Mixture Models Using the Expectation Maximisation (EM)
Algorithm | James Curran |
| multimode | 1.5 | Mode Testing and Exploring | Jose Ameijeiras-Alonso |
| multimorbidity | 0.5.1 | Harmonizing Various Comorbidity, Multimorbidity, and Frailty
Measures | Wyatt Bensken |
| multiness | 1.0.2 | MULTIplex NEtworks with Shared Structure | Peter W. MacDonald |
| multinet | 4.1.2 | Analysis and mining of multilayer social networks | Matteo Magnani |
| multinets | 0.2.2 | Multilevel Networks Analysis | Neylson Crepalde |
| multinma | 0.6.1 | Bayesian Network Meta-Analysis of Individual and Aggregate Data | David M. Phillippo |
| MultinomialCI | 1.2 | Simultaneous Confidence Intervals for Multinomial Proportions
According to the Method by Sison and Glaz | Pablo J. Villacorta |
| multinomialLogitMix | 1.1 | Clustering Multinomial Count Data under the Presence of
Covariates | Panagiotis Papastamoulis |
| multinomineq | 0.2.6 | Bayesian Inference for Multinomial Models with Inequality
Constraints | Daniel W. Heck |
| multIntTestFunc | 0.2.0 | Provides Test Functions for Multivariate Integration | Klaus Herrmann |
| MultiObjMatch | 0.1.3 | Multi-Objective Matching Algorithm | Shichao Han |
| multiocc | 0.2.1 | Fits Multivariate Spatio-Temporal Occupancy Model | Staci Hepler |
| MultiOrd | 2.4.3 | Generation of Multivariate Ordinal Variates | Ran Gao |
| multipanelfigure | 2.1.6 | Infrastructure to Assemble Multi-Panel Figures (from Grobs) | Johannes Graumann |
| MultiPhen | 2.0.3 | A Package to Test for Multi-Trait Association | Lachlan Coin |
| MultipleBreakpoints | 0.1.0 | Estimating Multiple Breakpoints for a Sequence of Realizations
of Bernoulli Variables | Nicolas Froelich |
| MultipleBubbles | 0.2.0 | Test and Detection of Explosive Behaviors for Time Series | Pedro Araujo |
| multipleDL | 1.0.0 | Addressing Detection Limits by Cumulative Probability Models
(CPMs) | Yuqi Tian |
| multipleNCC | 1.2-4 | Weighted Cox-Regression for Nested Case-Control Data | Nathalie C. Stoer |
| multipleOutcomes | 0.2 | Asymptotic Covariance Matrix of Regression Models for Multiple
Outcomes | Han Zhang |
| MultipleRegression | 0.1.0 | Multiple Regression Analysis | Alcinei Mistico Azevedo |
| multiplestressR | 0.1.1 | Additive and Multiplicative Null Models for Multiple Stressor
Data | Benjamin Burgess |
| multiplex | 3.1.1 | Algebraic Tools for the Analysis of Multiple Social Networks | Antonio Rivero Ostoic |
| MultiplierDEA | 0.1.19 | Multiplier Data Envelopment Analysis and Cross Efficiency | Aurobindh Kalathil Puthanpura |
| multipol | 1.0-9 | Multivariate Polynomials | Robin K. S. Hankin |
| multiRDPG | 1.0.1 | Multiple Random Dot Product Graphs | Agnes Martine Nielsen |
| multirich | 2.1.3 | Calculate Multivariate Richness via UTC and sUTC | Alexander Keyel |
| multiridge | 1.11 | Fast Cross-Validation for Multi-Penalty Ridge Regression | Mark A. van de Wiel |
| MultiRNG | 1.2.4 | Multivariate Pseudo-Random Number Generation | Ran Gao |
| MultiRobust | 1.0.5 | Multiply Robust Methods for Missing Data Problems | Shixiao Zhang |
| multiROC | 1.1.1 | Calculating and Visualizing ROC and PR Curves Across Multi-Class
Classifications | Runmin Wei |
| MultiRR | 1.1 | Bias, Precision, and Power for Multi-Level Random Regressions | Yimen G. Araya-Ajoy |
| MultIS | 0.6.2 | Reconstruction of Clones from Integration Site Readouts and
Visualization | Sebastian Wagner |
| MultiscaleDTM | 0.8.3 | Multi-Scale Geomorphometric Terrain Attributes | Alexander Ilich |
| multiselect | 0.1.0 | Selecting Combinations of Predictors by Leveraging Multiple AUCs
for an Ordered Multilevel Outcome | Allison Meisner |
| multisensi | 2.1-1 | Multivariate Sensitivity Analysis | Hervé Monod |
| multisite.accuracy | 1.2 | Estimation of Accuracy in Multisite Machine-Learning Models | Joaquim Radua |
| MultisiteMediation | 0.0.4 | Causal Mediation Analysis in Multisite Trials | Xu Qin |
| MultiSkew | 1.1.1 | Measures, Tests and Removes Multivariate Skewness | Cinzia Franceschini |
| multisom | 1.3 | Clustering a Data Set using Multi-SOM Algorithm | Sarra Chair |
| multispatialCCM | 1.3 | Multispatial Convergent Cross Mapping | Adam Clark |
| MultiStatM | 1.2.1 | Multivariate Statistical Methods | Emanuele Taufer |
| multitaper | 1.0-17 | Spectral Analysis Tools using the Multitaper Method | Karim Rahim |
| multitool | 0.1.4 | Run Multiverse Style Analyses | Ethan Young |
| multiUS | 1.2.3 | Functions for the Courses Multivariate Analysis and Computer
Intensive Methods | Cugmas Marjan |
| multivar | 1.1.0 | Penalized Estimation of Multiple-Subject Vector Autoregressive
(multi-VAR) Models | Zachary Fisher |
| multivariance | 2.4.1 | Measuring Multivariate Dependence Using Distance Multivariance | Björn Böttcher |
| MultivariateAnalysis | 0.5.0 | Pacote Para Analise Multivariada | Alcinei Mistico Azevedo |
| MultivariateRandomForest | 1.1.5 | Models Multivariate Cases Using Random Forests | Raziur Rahman |
| multivarious | 0.2.0 | Extensible Data Structures for Multivariate Analysis | Bradley Buchsbaum |
| MultiVarMI | 1.0 | Multiple Imputation for Multivariate Data | Rawan Allozi |
| MultiVarSel | 1.1.3 | Variable Selection in a Multivariate Linear Model | Marie Perrot-Dockès |
| multivator | 1.1-11 | A Multivariate Emulator | Robin K. S. Hankin |
| multiverse | 0.6.1 | 'Explorable Multiverse' Data Analysis and Reports | Abhraneel Sarma |
| multiview | 0.8 | Cooperative Learning for Multi-View Analysis | Balasubramanian Narasimhan |
| multiwave | 1.4 | Estimation of Multivariate Long-Memory Models Parameters | Sophie Achard |
| multiway | 1.0-6 | Component Models for Multi-Way Data | Nathaniel E. Helwig |
| MultiwayRegression | 1.2 | Perform Tensor-on-Tensor Regression | Eric F. Lock |
| multiwayvcov | 1.2.3 | Multi-Way Standard Error Clustering | Nathaniel Graham |
| MultNonParam | 1.3.9 | Multivariate Nonparametric Methods | John E. Kolassa |
| MultOrdRS | 0.1-3 | Model Multivariate Ordinal Responses Including Response Styles | Gunther Schauberger |
| MultSurvTests | 0.2 | Permutation Tests for Multivariate Survival Analysis | Lukas Arnroth |
| multxpert | 0.1.1 | Common Multiple Testing Procedures and Gatekeeping Procedures | Eric Nantz |
| MulvariateRandomForestVarImp | 0.0.2 | Variable Importance Measures for Multivariate Random Forests | Dogonadze Nika |
| MuMIn | 1.47.5 | Multi-Model Inference | Kamil Bartoń |
| munfold | 0.3.5 | Metric Unfolding | Martin Elff |
| munsell | 0.5.1 | Utilities for Using Munsell Colours | Charlotte Wickham |
| munsellinterpol | 3.0-0 | Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB | Glenn Davis |
| muRL | 0.1-13 | Mailmerge using R, LaTeX, and the Web | Ryan T. Moore |
| murphydiagram | 0.12.2 | Murphy Diagrams for Forecast Comparisons | Fabian Krueger |
| muRty | 0.3.1 | Murty's Algorithm for k-Best Assignments | Aljaz Jelenko |
| MUS | 0.1.6 | Monetary Unit Sampling and Estimation Methods, Widely Used in
Auditing | Henning Prömpers |
| musclesyneRgies | 1.2.5 | Extract Muscle Synergies from Electromyography | Alessandro Santuz |
| music | 0.1.2 | Learn and Experiment with Music Theory | Efstathios D. Gennatas |
| musica | 0.1.3 | Multiscale Climate Model Assessment | Martin Hanel |
| musicNMR | 1.0 | Conversion of Nuclear Magnetic Resonance Spectra in Audio Files | Stefano Cacciatore |
| mutationtypes | 0.0.1 | Validate and Convert Mutational Impacts Using Standard Genomic
Dictionaries | Sam El-Kamand |
| mutoss | 0.1-13 | Unified Multiple Testing Procedures | Kornelius Rohmeyer |
| mutossGUI | 0.1-12 | A Graphical User Interface for the MuToss Project | Kornelius Rohmeyer |
| mutSignatures | 2.1.1 | Decipher Mutational Signatures from Somatic Mutational Catalogs | Damiano Fantini |
| mutualinf | 1.2.2 | Computation and Decomposition of the Mutual Information Index | Rafael Fuentealba-Chaura |
| MuViCP | 1.3.2 | MultiClass Visualizable Classification using Combination of
Projections | Mohit Dayal |
| MVA | 1.0-8 | An Introduction to Applied Multivariate Analysis with R | Torsten Hothorn |
| mvabund | 4.2.1 | Statistical Methods for Analysing Multivariate Abundance Data | David Warton |
| MVar | 2.2.1 | Multivariate Analysis | Paulo Cesar Ossani |
| MVar.pt | 2.2.1 | Analise multivariada (brazilian portuguese) | Paulo Cesar Ossani |
| MvBinary | 1.1 | Modelling Multivariate Binary Data with Blocks of Specific
One-Factor Distribution | Mohammed Sedki |
| mvbutils | 2.8.232 | Workspace Organization, Code and Documentation Editing, Package
Prep and Editing, Etc | Mark V. Bravington |
| mvcauchy | 1.0 | Multivariate Cauchy Distribution | Michail Tsagris |
| mvctm | 1.2 | Multivariate Variance Components Tests for Multilevel Data | Denis Larocque |
| mvdalab | 1.7 | Multivariate Data Analysis Laboratory | Nelson Lee Afanador |
| mvDFA | 0.0.4 | Multivariate Detrended Fluctuation Analysis | Julien Patrick Irmer |
| mverse | 0.1.0 | Tidy Multiverse Analysis Made Simple | Michael Jongho Moon |
| mvgb | 0.0.4 | Multivariate Probabilities of Scale Mixtures of Multivariate
Normal Distributions via the Genz and Bretz (2002) QRSVN Method | Bruce Swihart |
| mvglmmRank | 1.2-4 | Multivariate Generalized Linear Mixed Models for Ranking Sports
Teams | Andrew T. Karl |
| mvGPS | 1.2.2 | Causal Inference using Multivariate Generalized Propensity Score | Justin Williams |
| mvhist | 1.1 | Multivariate Histograms | John P. Nolan |
| mvhtests | 1.0 | Multivariate Hypothesis Tests | Michail Tsagris |
| mvinfluence | 0.9.0 | Influence Measures and Diagnostic Plots for Multivariate Linear
Models | Michael Friendly |
| MVisAGe | 0.2.1 | Compute and Visualize Bivariate Associations | Vonn Walter |
| MVLM | 0.1.4 | Multivariate Linear Model with Analytic p-Values | Daniel B. McArtor |
| mvLSW | 1.2.5 | Multivariate, Locally Stationary Wavelet Process Estimation | Daniel Grose |
| mvLSWimpute | 0.1.1 | Imputation Methods for Multivariate Locally Stationary Time
Series | Matt Nunes |
| mvMAPIT | 2.0.3 | Multivariate Genome Wide Marginal Epistasis Test | Julian Stamp |
| mvmesh | 1.6 | Multivariate Meshes and Histograms in Arbitrary Dimensions | John P. Nolan |
| mvmeta | 1.0.3 | Multivariate and Univariate Meta-Analysis and Meta-Regression | Antonio Gasparrini |
| mvMISE | 1.0 | A General Framework of Multivariate Mixed-Effects Selection
Models | Jiebiao Wang |
| mvMonitoring | 0.2.4 | Multi-State Adaptive Dynamic Principal Component Analysis for
Multivariate Process Monitoring | Gabriel Odom |
| mvMORPH | 1.1.9 | Multivariate Comparative Tools for Fitting Evolutionary Models
to Morphometric Data | Julien Clavel |
| MVN | 5.9 | Multivariate Normality Tests | Selcuk Korkmaz |
| mvna | 2.0.1 | Nelson-Aalen Estimator of the Cumulative Hazard in Multistate
Models | Arthur Allignol |
| MVNBayesian | 0.0.8-11 | Bayesian Analysis Framework for MVN (Mixture) Distribution | ZHANG Chen <447974102 at qq.com> |
| mvnfast | 0.2.8 | Fast Multivariate Normal and Student's t Methods | Matteo Fasiolo |
| mvngGrAd | 0.1.6 | Moving Grid Adjustment in Plant Breeding Field Trials | Frank Technow |
| mvnimpute | 1.0.1 | Simultaneously Impute the Missing and Censored Values | Hesen Li |
| mvnmle | 0.1-11.2 | ML Estimation for Multivariate Normal Data with Missing Values | Mao Kobayashi |
| mvnormalTest | 1.0.0 | Powerful Tests for Multivariate Normality | Yian Zhang |
| mvnormtest | 0.1-9-3 | Normality Test for Multivariate Variables | Sławomir Jarek |
| mvnpermute | 1.0.1 | Generate New Multivariate Normal Samples from Permutations | Mark Abney |
| mvnTest | 1.1-0 | Goodness of Fit Tests for Multivariate Normality | Natalya Pya |
| MVNtestchar | 1.1.3 | Test for Multivariate Normal Distribution Based on a
Characterization | William Fairweather |
| mvord | 1.2.2 | Multivariate Ordinal Regression Models | Laura Vana |
| mvoutlier | 2.1.1 | Multivariate Outlier Detection Based on Robust Methods | P. Filzmoser |
| mvp | 1.0-14 | Fast Symbolic Multivariate Polynomials | Robin K. S. Hankin |
| MVPBT | 1.2-1 | Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy
Test | Hisashi Noma |
| mvpd | 0.0.4 | Multivariate Product Distributions for Elliptically Contoured
Distributions | Bruce Swihart |
| mvPot | 0.1.6 | Multivariate Peaks-over-Threshold Modelling for Spatial Extreme
Events | Raphael de Fondeville |
| mvProbit | 0.1-10 | Multivariate Probit Models | Arne Henningsen |
| mvQuad | 1.0-8 | Methods for Multivariate Quadrature | Constantin Weiser |
| MVQuickGraphs | 0.1.2 | Quick Multivariate Graphs | Douglas Whitaker |
| MVR | 1.33.0 | Mean-Variance Regularization | Jean-Eudes Dazard |
| mvrsquared | 0.1.5 | Compute the Coefficient of Determination for Vector or Matrix
Outcomes | Tommy Jones |
| mvs | 1.0.2 | Methods for High-Dimensional Multi-View Learning | Wouter van Loon |
| mvShapiroTest | 1.0 | Generalized Shapiro-Wilk test for multivariate normality | Elizabeth Gonzalez Estrada |
| mvSLOUCH | 2.7.6 | Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
Phylogenetic Comparative Hypotheses | Krzysztof Bartoszek |
| mvst | 1.1.1 | Bayesian Inference for the Multivariate Skew-t Model | Antonio Parisi |
| mvSUSY | 0.1.0 | Multivariate Surrogate Synchrony | Wolfgang Tschacher |
| MVT | 0.3-8 | Estimation and Testing for the Multivariate t-Distribution | Felipe Osorio |
| MVTests | 2.2.2 | Multivariate Hypothesis Tests | Hasan BULUT |
| mvtmeta | 1.1 | Multivariate Meta-Analysis | Han Chen |
| mvtnorm | 1.2-4 | Multivariate Normal and t Distributions | Torsten Hothorn |
| mvtsplot | 1.0-4 | Multivariate Time Series Plot | Roger D. Peng |
| mwa | 0.4.4 | Causal Inference in Spatiotemporal Event Data | Sebastian Schutte |
| mwcsr | 0.1.8 | Solvers for Maximum Weight Connected Subgraph Problem and Its
Variants | Alexander Loboda |
| mwlaxeref | 0.0.1 | Cross-References Lake Identifiers Between Different Data Sets | Paul Frater |
| MWright | 0.3.2 | Mainardi-Wright Family of Distributions | Dexter Cahoy |
| mwshiny | 2.1.0 | 'Shiny' for Multiple Windows | Hannah De los Santos |
| mwTensor | 1.1.0 | Multi-Way Component Analysis | Koki Tsuyuzaki |
| mxkssd | 1.2 | Efficient Mixed-Level k-Circulant Supersaturated Designs | B N Mandal |
| MXM | 1.5.5 | Feature Selection (Including Multiple Solutions) and Bayesian
Networks | Konstantina Biza |
| mxmmod | 1.1.0 | Measurement Model of Derivatives in 'OpenMx' | Kyle D. Husmann |
| mxnorm | 1.0.3 | Apply Normalization Methods to Multiplexed Images | Coleman Harris |
| mxsem | 0.0.8 | Specify 'OpenMx' Models with a 'lavaan'-Style Syntax | Jannik H. Orzek |
| My.stepwise | 0.1.0 | Stepwise Variable Selection Procedures for Regression Analysis | Fu-Chang Hu |
| Mychisq | 0.1.3 | Chi-Squared Test for Goodness of Fit and Independence Test | Atchanut Rattanalertnusorn |
| myClim | 1.1.0 | Microclimatic Data Processing | Vojtěch Kalčík |
| mycobacrvR | 1.1 | Integrative Immunoinformatics for Mycobacterial Diseases in R
Platform | S. Ramachandran |
| mycor | 0.1.1 | Automatic Correlation and Regression Test in a 'data.frame' | Keon-Woong Moon |
| myCRAN | 1.1 | Graph of Daily and Cumulative Downloads of your Packages | Barry Zeeberg |
| myTAI | 0.9.3 | Evolutionary Transcriptomics | Hajk-Georg Drost |
| mzipmed | 1.4.0 | Mediation using MZIP Model | Andrew Sims |
| n1qn1 | 6.0.1-11 | Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS
Optimization | Matthew Fidler |
| N2H4 | 0.8.4 | Handling Methods for Naver News Text Crawling | Chanyub Park |
| N2R | 1.0.3 | Fast and Scalable Approximate k-Nearest Neighbor Search Methods
using 'N2' Library | Evan Biederstedt |
| na.tools | 0.3.1 | Comprehensive Library for Working with Missing (NA) Values in
Vectors | Christopher Brown |
| naaccr | 2.0.2 | Read Cancer Records in the NAACCR Format | Nathan Werth |
| nabor | 0.5.0 | Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low
Dimensions | Gregory Jefferis |
| NAC | 0.1.0 | Network-Adjusted Covariates for Community Detection | Yaofang Hu |
| NACHO | 2.0.6 | NanoString Quality Control Dashboard | Mickaël Canouil |
| NADA | 1.6-1.1 | Nondetects and Data Analysis for Environmental Data | Lopaka Lee |
| NADA2 | 1.1.6 | Data Analysis for Censored Environmental Data | Paul Julian |
| NADIA | 0.4.2 | NA Data Imputation Algorithms | Jan Borowski |
| NAEPirtparams | 1.0.0 | IRT Parameters for the National Assessment of Education Progress | Sun-joo Lee |
| NAEPprimer | 1.0.1 | The NAEP Primer | Emmanuel Sikali |
| naflex | 0.1.0 | Flexible Options for Handling Missing Values | Danny Parsons |
| naijR | 0.6.0 | Operations to Ease Data Analyses Specific to Nigeria | Victor Ordu |
| NAIR | 1.0.4 | Network Analysis of Immune Repertoire | Brian Neal |
| naive | 1.2.3 | Empirical Extrapolation of Time Feature Patterns | Giancarlo Vercellino |
| naivebayes | 1.0.0 | High Performance Implementation of the Naive Bayes Algorithm | Michal Majka |
| naivereg | 1.0.5 | Nonparametric Additive Instrumental Variable Estimator and
Related IV Methods | Qingliang Fan |
| nakagami | 1.1.0 | Functions for the Nakagami Distribution | Jonas Moss |
| NAM | 1.7.3 | Nested Association Mapping | Alencar Xavier |
| name | 0.0.1 | Tools for Working with Names | Christopher T. Kenny |
| namedropR | 2.4.1 | Create Visual Citations for Presentations and Posters | Christian A. Gebhard |
| NameNeedle | 1.2.7 | Using Needleman-Wunsch to Match Sample Names | Kevin R. Coombes |
| namer | 0.1.8 | Names Your 'R Markdown' Chunks | Colin Gillespie |
| nametagger | 0.1.3 | Named Entity Recognition in Texts using 'NameTag' | Jan Wijffels |
| nandb | 2.1.0 | Number and Brightness Image Analysis | Rory Nolan |
| naniar | 1.1.0 | Data Structures, Summaries, and Visualisations for Missing Data | Nicholas Tierney |
| nanoarrow | 0.4.0.1 | Interface to the 'nanoarrow' 'C' Library | Dewey Dunnington |
| nanonext | 0.13.5.2 | NNG (Nanomsg Next Gen) Lightweight Messaging Library | Charlie Gao |
| nanostringr | 0.4.1 | Performs Quality Control, Data Normalization, and Batch Effect
Correction for 'NanoString nCounter' Data | Derek Chiu |
| nanotime | 0.3.7 | Nanosecond-Resolution Time Support for R | Dirk Eddelbuettel |
| NAP | 1.1 | Non-Local Alternative Priors in Psychology | Sandipan Pramanik |
| naptanr | 1.0.1 | Call the 'NaPTAN' API Through R | Francesca Bryden |
| naptime | 1.3.0 | A Flexible and Robust Sys.sleep() Replacement | Russell S. Pierce |
| nardl | 0.1.6 | Nonlinear Cointegrating Autoregressive Distributed Lag Model | Taha Zaghdoudi |
| narray | 0.5.1 | Subset- And Name-Aware Array Utility Functions | Michael Schubert |
| naryn | 2.6.26 | Native Access Medical Record Retriever for High Yield Analytics | Aviezer Lifshitz |
| nasadata | 0.9.0 | Interface to Various NASA API's | Eduardo Flores |
| nasapower | 4.2.0 | NASA POWER API Client | Adam H. Sparks |
| nasaweather | 0.1 | Collection of datasets from the ASA 2006 data expo | 'Hadley Wickham' |
| NasdaqDataLink | 1.0.0 | API Wrapper for Nasdaq Data Link | Jamie Couture |
| naspaclust | 0.2.1 | Nature-Inspired Spatial Clustering | Bahrul Ilmi Nasution |
| nat | 1.8.24 | NeuroAnatomy Toolbox for Analysis of 3D Image Data | Gregory Jefferis |
| nat.nblast | 1.6.7 | NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron
Similarity and Clustering | Gregory Jefferis |
| nat.templatebrains | 1.1 | NeuroAnatomy Toolbox ('nat') Extension for Handling Template
Brains | Gregory Jefferis |
| nat.utils | 0.6.1 | File System Utility Functions for 'NeuroAnatomy Toolbox' | Gregory Jefferis |
| natcpp | 0.1.0 | Fast C++ Primitives for the 'NeuroAnatomy Toolbox' | Gregory Jefferis |
| natmanager | 0.5.1 | Install the 'Natverse' Packages from Scratch | Gregory Jefferis |
| NatParksPalettes | 0.2.0 | Color Palettes Inspired by National Parks | Kevin Blake |
| natserv | 1.0.0 | 'NatureServe' Interface | Scott Chamberlain |
| natstrat | 2.0.0 | Obtain Unweighted Natural Strata that Balance Many Covariates | Katherine Brumberg |
| natural | 0.9.0 | Estimating the Error Variance in a High-Dimensional Linear Model | Guo Yu |
| naturaList | 0.5.2 | Classify Occurrences by Confidence Levels in the Species ID | Arthur Vinicius Rodrigues |
| naturalsort | 0.1.3 | Natural Ordering | Kosei Abe |
| NatureSounds | 1.0.4 | Animal Sounds for Bioacustic Analysis | Marcelo Araya-Salas |
| navigation | 0.0.1 | Analyze the Impact of Sensor Error Modelling on Navigation
Performance | Lionel Voirol |
| navigatr | 0.2.1 | Navigation Menu for Pipe-Friendly Data Processing | Mizuki Uchida |
| nawtilus | 0.1.4 | Navigated Weighting for the Inverse Probability Weighting | Hiroto Katsumata |
| NB.MClust | 1.1.1 | Negative Binomial Model-Based Clustering | Qian Li |
| NBAloveR | 0.1.3.3 | Help Basketball Data Analysis | Koki Ando |
| nbapalettes | 0.1.0 | An NBA Jersey Palette Generator | Murray Josh |
| NBBDesigns | 1.1.0 | Neighbour Balanced Block Designs (NBBDesigns) | Ashutosh Dalal |
| NBBttest | 1.0.1 | Negative Binomial Beta t-Test | Yuan-De Tan |
| nbc4va | 1.2 | Bayes Classifier for Verbal Autopsy Data | Richard Wen |
| NbClust | 3.0.1 | Determining the Best Number of Clusters in a Data Set | Malika Charrad |
| nbconv | 1.0.1 | Evaluate Arbitrary Negative Binomial Convolutions | Gregory Bedwell |
| nbconvertR | 1.3.2 | Vignette Engine Wrapping Jupyter Notebooks | Philipp Angerer |
| NBDdirichlet | 1.4 | NBD-Dirichlet Model of Consumer Buying Behavior for Marketing
Research | Feiming Chen |
| NBDesign | 2.0.0 | Design and Monitoring of Clinical Trials with Negative Binomial
Endpoint | Xiaodong Luo |
| nberwp | 1.2.0 | NBER Working Papers | Benjamin Davies |
| nbfar | 0.1 | Negative Binomial Factor Regression Models ('nbfar') | Aditya Mishra |
| NBLDA | 1.0.1 | Negative Binomial Linear Discriminant Analysis | Dincer Goksuluk |
| nblR | 0.0.4 | Data Extraction of Australian NBL Basketball Statistics | Jason Zivkovic |
| nbpMatching | 1.5.4 | Functions for Optimal Non-Bipartite Matching | Cole Beck |
| NBPSeq | 0.3.1 | Negative Binomial Models for RNA-Sequencing Data | Yanming Di |
| NBR | 0.1.5 | Network-Based R-Statistics using Mixed Effects Models | Zeus Gracia-Tabuenca |
| NBShiny | 0.1.0 | Interactive Document for Working with Naive Bayes Classification | Kartikeya Bolar |
| NBShiny2 | 0.1.0 | Interactive Document for Working with Naive Bayes Classification | Kartikeya Bolar |
| NBShiny3 | 0.1.0 | Interactive Document for Working with Naive Bayes Classification | Kartikeya Bolar |
| nbTransmission | 1.1.4 | Naive Bayes Transmission Analysis | Sarah V Leavitt |
| NBtsVarSel | 1.0 | Variable Selection in a Specific Regression Time Series of
Counts | Marina Gomtsyan |
| nc | 2024.2.21 | Named Capture to Data Tables | Toby Hocking |
| NCA | 4.0.1 | Necessary Condition Analysis | Govert Buijs |
| ncappc | 0.3.0 | NCA Calculations and Population Model Diagnosis | Andrew C. Hooker |
| ncar | 0.5.0 | Noncompartmental Analysis for Pharmacokinetic Report | Kyun-Seop Bae |
| ncbit | 2013.03.29.1 | Retrieve and Build NBCI Taxonomic Data | Jon Eastman |
| NCC | 1.0 | Simulation and Analysis of Platform Trials with Non-Concurrent
Controls | Pavla Krotka |
| ncdf4 | 1.22 | Interface to Unidata netCDF (Version 4 or Earlier) Format Data
Files | David Pierce |
| ncdf4.helpers | 0.3-6 | Helper Functions for Use with the 'ncdf4' Package | Lee Zeman |
| ncdfgeom | 1.1.6 | 'NetCDF' Geometry and Time Series | David Blodgett |
| ncdump | 0.0.3 | Extract Metadata from 'NetCDF' Files as Data Frames | Michael D. Sumner |
| ncf | 1.3-2 | Spatial Covariance Functions | Ottar N. Bjornstad |
| ncmeta | 0.4.0 | Straightforward 'NetCDF' Metadata | Michael Sumner |
| NCmisc | 1.2.0 | Miscellaneous Functions for Creating Adaptive Functions and
Scripts | Nicholas Cooper |
| ncodeR | 0.2.0.1 | Techniques for Automated Classifiers | Cody L Marquart |
| nCopula | 0.1.1 | Hierarchical Archimedean Copulas Constructed with Multivariate
Compound Distributions | Simon-Pierre Gadoury |
| ncpen | 1.0.0 | Unified Algorithm for Non-convex Penalized Estimation for
Generalized Linear Models | Dongshin Kim |
| NCSampling | 1.0 | Nearest Centroid (NC) Sampling | Gavin Melville |
| NCSCopula | 1.0.1 | Non-Central Squared Copula Models Estimation | Bouchra R. Nasri |
| NCutYX | 0.1.0 | Clustering of Omics Data of Multiple Types with a Multilayer
Network Representation | Sebastian J. Teran Hidalgo |
| ncvreg | 3.14.1 | Regularization Paths for SCAD and MCP Penalized Regression
Models | Patrick Breheny |
| nda | 0.1.13 | Generalized Network-Based Dimensionality Reduction and Analysis | Zsolt T. Kosztyan |
| ndi | 0.1.5 | Neighborhood Deprivation Indices | Ian D. Buller |
| ndjson | 0.9.0 | Wicked-Fast Streaming 'JSON' ('ndjson') Reader | Bob Rudis |
| ndl | 0.2.18 | Naive Discriminative Learning | Tino Sering |
| NDP | 0.1.0 | Interactive Presentation for Working with Normal Distribution | Kartikeya Bolar |
| ndtv | 0.13.3 | Network Dynamic Temporal Visualizations | Skye Bender-deMoll |
| nearfar | 1.3 | Near-Far Matching | Joseph Rigdon |
| neat | 1.2.4 | Efficient Network Enrichment Analysis Test | Mirko Signorelli |
| neatmaps | 2.1.0 | Heatmaps for Multiple Network Data | Philippe Boileau |
| neatR | 0.2.0 | Neat Data for Presentation | Shivaprakash Suresh |
| neatRanges | 0.1.4 | Tidy Up Date/Time Ranges | Aljaz Jelenko |
| neatStats | 1.13.3 | Neat and Painless Statistical Reporting | Gáspár Lukács |
| nebula | 1.5.3 | Negative Binomial Mixed Models Using Large-Sample Approximation
for Differential Expression Analysis of ScRNA-Seq Data | Liang He |
| Necklaces | 1.0 | Necklaces and Bracelets | Giuseppe Guarino |
| needmining | 0.1.1 | A Simple Needmining Implementation | Dorian Proksch |
| needs | 0.0.3 | Attaches and Installs Packages | Josh Katz |
| NegativeControlOutcomeAdjustment | 0.0.6 | Estimation of Vaccine Efficacy using Negative Control Outcomes | Bill Wheeler |
| NegBinBetaBinreg | 1.0 | Negative Binomial and Beta Binomial Bayesian Regression Models | Edilberto Cepeda |
| negenes | 1.0-12 | Estimating the Number of Essential Genes in a Genome | Karl W Broman |
| negligible | 0.1.6 | A Collection of Functions for Negligible Effect/Equivalence
Testing | Robert Cribbie |
| Neighboot | 1.0.1 | Neighborhood Bootstrap Method for RDS | Mamadou Yauck |
| neighbours | 0.1-3 | Neighbourhood Functions for Local-Search Algorithms | Enrico Schumann |
| neighbr | 1.0.3 | Classification, Regression, Clustering with K Nearest Neighbors | Dmitriy Bolotov |
| neldermead | 1.0-12 | R Port of the 'Scilab' Neldermead Module | Sebastien Bihorel |
| nemBM | 1.00.01 | Using Network Evolution Models to Generate Networks with
Selected Blockmodel Type | Marjan Cugmas |
| nemtr | 0.0.1.0 | Nonparametric Extended Median Test - Cumulative Summation Method | Caleb Greski |
| neo2R | 2.4.2 | Neo4j to R | Patrice Godard |
| neo4jshell | 0.1.2 | Querying and Managing 'Neo4J' Databases in 'R' | Keith McNulty |
| neo4r | 0.1.1 | A 'Neo4J' Driver | Colin Fay |
| neojags | 0.1.4 | Neo-Normal Distributions Family for Markov Chain Monte Carlo
(MCMC) Models in 'JAGS' | Achmad Syahrul Choir |
| NEONiso | 0.7.0 | Tools to Calibrate and Work with NEON Atmospheric Isotope Data | Rich Fiorella |
| neonOS | 1.0.0 | Basic Data Wrangling for NEON Observational Data | Claire Lunch |
| neonPlantEcology | 1.5.0 | Process NEON Plant Data for Ecological Analysis | Adam Mahood |
| neonstore | 0.5.1 | NEON Data Store | Carl Boettiger |
| neonUtilities | 2.4.1 | Utilities for Working with NEON Data | Claire Lunch |
| neotoma2 | 1.0.3 | Working with the Neotoma Paleoecology Database | Dominguez Vidana Socorro |
| nephro | 1.4 | Utilities for Nephrology | Cristian Pattaro |
| NEpiC | 1.0.1 | Network Assisted Algorithm for Epigenetic Studies Using Mean and
Variance Combined Signals | Peifeng Ruan |
| neptune | 0.2.3 | MLOps Metadata Store - Experiment Tracking and Model Registry
for Production Teams | Rafal Jankowski |
| nesRdata | 0.3.1 | National Eutrophication Survey Data | Joseph Stachelek |
| nestcolor | 0.1.2 | Colors for NEST Graphs | Joe Zhu |
| NestedCategBayesImpute | 1.2.1 | Modeling, Imputing and Generating Synthetic Versions of Nested
Categorical Data in the Presence of Impossible Combinations | Olanrewaju Akande |
| nestedcv | 0.7.8 | Nested Cross-Validation with 'glmnet' and 'caret' | Myles Lewis |
| nestedLogit | 0.3.2 | Nested Dichotomy Logistic Regression Models | Michael Friendly |
| NestedMenu | 0.2.0 | A Nested Menu Widget for 'Shiny' Applications | Stéphane Laurent |
| nestedmodels | 1.1.0 | Tidy Modelling for Nested Data | Ashby Thorpe |
| nestedpp | 0.2.0 | Performance Profiles and Nested Performance Profiles | Brais Gonzalez-Rodriguez |
| nestfs | 1.0.3 | Cross-Validated (Nested) Forward Selection | Marco Colombo |
| NestMRMC | 1.0 | Single Reader Between-Cases AUC Estimator in Nested Data | Hongfei Du |
| nestr | 0.1.2 | Build Nesting or Hierarchical Structures | Emi Tanaka |
| net4pg | 0.1.1 | Handle Ambiguity of Protein Identifications from Shotgun
Proteomics | Laura Fancello |
| netassoc | 0.7.0 | Inference of Species Associations from Co-Occurrence Data | Benjamin Blonder |
| netClust | 1.0.1 | Model-Based Clustering of Network Data | Shuchismita Sarkar |
| NetCluster | 0.2 | Clustering for networks | Sean J Westwood |
| netcmc | 1.0.2 | Spatio-Network Generalised Linear Mixed Models for Areal Unit
and Network Data | George Gerogiannis |
| netCoin | 2.0.48 | Interactive Analytic Networks | Modesto Escobar |
| netcontrol | 0.1 | Control Theory Methods for Networks | Teague R. Henry |
| NetCoupler | 0.1.0 | Inference of Causal Links Between a Network and an External
Variable | Luke Johnston |
| netcox | 1.0.1 | Structural Learning in Cox Models with Time-Dependent Covariates | Yi Lian |
| NetDA | 0.2.0 | Network-Based Discriminant Analysis Subject to Multi-Label
Classes | Li-Pang Chen |
| netdiffuseR | 1.22.6 | Analysis of Diffusion and Contagion Processes on Networks | George Vega Yon |
| NetExplorer | 0.0.2 | Network Explorer | Sosa Sebastian |
| NetFACS | 0.5.0 | Network Applications to Facial Communication Data | Alan V. Rincon |
| netgsa | 4.0.5 | Network-Based Gene Set Analysis | Michael Hellstern |
| netgwas | 1.14.3 | Network-Based Genome Wide Association Studies | Pariya Behrouzi |
| netie | 1.0 | Antigen T Cell Interaction Estimation | Tianshi Lu |
| NetIndices | 1.4.4.1 | Estimating Network Indices, Including Trophic Structure of
Foodwebs in R | Karline Soetaert |
| NetInt | 1.0.0 | Methods for Unweighted and Weighted Network Integration | Jessica Gliozzo |
| NetLogoR | 1.0.5 | Build and Run Spatially Explicit Agent-Based Models | Eliot J B McIntire |
| netmap | 0.1.4 | Represent Network Objects on a Map | Matteo Dimai |
| netmediate | 0.1.4 | Micro-Macro Analysis for Social Networks | Scott Duxbury |
| netmeta | 2.9-0 | Network Meta-Analysis using Frequentist Methods | Guido Schwarzer |
| netmhc2pan | 1.3.2 | Interface to 'NetMHCIIpan' | Richèl J.C. Bilderbeek |
| NetMix | 0.2.0.2 | Dynamic Mixed-Membership Network Regression Model | Santiago Olivella |
| NetOrigin | 1.1-6 | Origin Estimation for Propagation Processes on Complex Networks | Juliane Manitz |
| netplot | 0.2-0 | Beautiful Graph Drawing | George Vega Yon |
| NetPreProc | 1.2 | Network Pre-Processing and Normalization | Giorgio Valentini |
| netrankr | 1.2.3 | Analyzing Partial Rankings in Networks | David Schoch |
| netregR | 1.0.1 | Regression of Network Responses | Frank W. Marrs |
| NetRep | 1.2.7 | Permutation Testing Network Module Preservation Across Datasets | Scott Ritchie |
| netropy | 0.1.0 | Statistical Entropy Analysis of Network Data | Termeh Shafie |
| nets | 0.9.1 | Network Estimation for Time Series | Christian Brownlees |
| NetSci | 1.0.0 | Calculates Basic Network Measures Commonly Used in Network
Medicine | Deisy Morselli Gysi |
| netseer | 0.1.0 | Graph Prediction from a Graph Time Series | Sevvandi Kandanaarachchi |
| netseg | 1.0-2 | Measures of Network Segregation and Homophily | Michal Bojanowski |
| netSEM | 0.6.2 | Network Structural Equation Modeling | Laura S. Bruckman |
| netShiny | 1.0 | Tool for Comparison and Visualization of Multiple Networks | Pariya Behrouzi |
| NetSimR | 0.1.5 | Actuarial Functions for Non-Life Insurance Modelling | Yiannis Parizas |
| netstat | 0.1.2 | Retrieve Network Statistics Including Available TCP Ports | Steve Condylios |
| NetSwan | 0.1 | Network Strengths and Weaknesses Analysis | Serge Lhomme |
| nett | 1.0.0 | Network Analysis and Community Detection | Arash A. Amini |
| nettskjemar | 0.1.4 | Connect to the 'nettskjema.no' API of the University of Oslo | Athanasia Mo Mowinckel |
| netUtils | 0.8.2 | A Collection of Tools for Network Analysis | David Schoch |
| NetWeaver | 0.0.6 | Graphic Presentation of Complex Genomic and Network Data
Analysis | Minghui Wang |
| network | 1.18.2 | Classes for Relational Data | Carter T. Butts |
| networkABC | 0.8-1 | Network Reverse Engineering with Approximate Bayesian
Computation | Frederic Bertrand |
| NetworkChange | 0.8 | Bayesian Package for Network Changepoint Analysis | Jong Hee Park |
| NetworkComparisonTest | 2.2.2 | Statistical Comparison of Two Networks Based on Several
Invariance Measures | Don van den Bergh |
| NetworkComparr | 0.0.0.9 | Statistical Comparison of Networks | Lara Trani |
| networkD3 | 0.4 | D3 JavaScript Network Graphs from R | Christopher Gandrud |
| NetworkDistance | 0.3.4 | Distance Measures for Networks | Kisung You |
| networkDynamic | 0.11.4 | Dynamic Extensions for Network Objects | Skye Bender-deMoll |
| networkDynamicData | 0.2.1 | Dynamic (Longitudinal) Network Datasets | Skye Bender-deMoll |
| NetworkExtinction | 1.0.3 | Extinction Simulation in Ecological Networks | Derek Corcoran |
| networkGen | 0.1.1 | Network Maze Generator | Bao Sheng Loe (Aiden) |
| NetworkInference | 1.2.4 | Inferring Latent Diffusion Networks | Fridolin Linder |
| networkLite | 1.0.5 | An Simplified Implementation of the 'network' Package
Functionality | Samuel Jenness |
| networkR | 0.1.2 | Network Analysis and Visualization | Claus Thorn Ekstrøm |
| NetworkReg | 1.1 | Regression Model on Network-Linked Data with Statistical
Inference | Tianxi Li |
| NetworkRiskMeasures | 0.1.4 | Risk Measures for (Financial) Networks | Carlos Cinelli |
| networkscaleup | 0.1-2 | Network Scale-Up Models for Aggregated Relational Data | Ian Laga |
| NetworkToolbox | 1.4.2 | Methods and Measures for Brain, Cognitive, and Psychometric
Network Analysis | Alexander Christensen |
| networktools | 1.5.2 | Tools for Identifying Important Nodes in Networks | Payton Jones |
| networktree | 1.0.1 | Recursive Partitioning of Network Models | Payton Jones |
| neuralGAM | 1.1.0 | Interpretable Neural Network Based on Generalized Additive
Models | Ines Ortega-Fernandez |
| neuralnet | 1.44.2 | Training of Neural Networks | Marvin N. Wright |
| NeuralNetTools | 1.5.3 | Visualization and Analysis Tools for Neural Networks | Marcus W. Beck |
| NeuralSens | 1.1.2 | Sensitivity Analysis of Neural Networks | Jaime Pizarroso Gonzalo |
| neurobase | 1.32.3 | 'Neuroconductor' Base Package with Helper Functions for 'nifti'
Objects | John Muschelli |
| neuroblastoma | 2023.9.3 | Neuroblastoma Copy Number Profiles | Toby Dylan Hocking |
| neurocInstall | 0.12.0 | 'Neuroconductor' Installer | John Muschelli |
| NeuroDecodeR | 0.2.0 | Decode Information from Neural Activity | Ethan Meyers |
| neurohcp | 0.9.0 | Human 'Connectome' Project Interface | John Muschelli |
| neuroim | 0.0.6 | Data Structures and Handling for Neuroimaging Data | Bradley Buchsbaum |
| neuromplex | 1.0-1 | Neural Multiplexing Analysis | Surya Tokdar |
| neuronorm | 1.0.2 | Preprocessing of Structural MRI for Multiple Neurodegenerative
Diseases | David Payares |
| neuRosim | 0.2-14 | Simulate fMRI Data | Karsten Tabelow |
| neutralitytestr | 0.0.3 | Test for a Neutral Evolutionary Model in Cancer Sequencing Data | Marc Williams |
| nevada | 0.2.0 | Network-Valued Data Analysis | Aymeric Stamm |
| neverhpfilter | 0.4-0 | An Alternative to the Hodrick-Prescott Filter | Justin M. Shea |
| new.dist | 0.1.1 | Alternative Continuous and Discrete Distributions | Ramazan Akman |
| Newdistns | 2.1 | Computes Pdf, Cdf, Quantile and Random Numbers, Measures of
Inference for 19 General Families of Distributions | Saralees Nadarajah |
| newFocus | 1.1 | True Discovery Guarantee by Combining Partial Closed Testings | Ningning Xu |
| NewmanOmics | 1.0.10 | Extending the Newman Studentized Range Statistic to
Transcriptomics | Kevin R. Coombes |
| newsanchor | 0.1.1 | Client for the News API | Buhl Yannik |
| newscatcheR | 0.1.2 | Programmatically Collect Normalized News from (Almost) Any
Website | Novica Nakov |
| newsmap | 0.8.3 | Semi-Supervised Model for Geographical Document Classification | Kohei Watanabe |
| newsmd | 0.5.1 | Creation of NEWS.md File | Jakob Gepp |
| newTestSurvRec | 1.0.2 | Statistical Tests to Compare Curves with Recurrent Events | Carlos Martinez |
| nextGenShinyApps | 2.0 | Craft Exceptional 'R Shiny' Applications and Dashboards with
Novel Responsive Tools | Obinna Obianom |
| nexus | 0.2.0 | Sourcing Archaeological Materials by Chemical Composition | Nicolas Frerebeau |
| nFactors | 2.4.1.1 | Parallel Analysis and Other Non Graphical Solutions to the
Cattell Scree Test | Gilles Raiche |
| NFCP | 1.2.1 | N-Factor Commodity Pricing Through Term Structure Estimation | Thomas Aspinall |
| nfer | 1.1.3 | Event Stream Abstraction using Interval Logic | Sean Kauffman |
| nfl4th | 1.0.4 | Functions to Calculate Optimal Fourth Down Decisions in the
National Football League | Ben Baldwin |
| nflfastR | 4.6.1 | Functions to Efficiently Access NFL Play by Play Data | Ben Baldwin |
| nflplotR | 1.3.1 | NFL Logo Plots in 'ggplot2' and 'gt' | Sebastian Carl |
| nflreadr | 1.4.0 | Download 'nflverse' Data | Tan Ho |
| nflseedR | 1.2.0 | Functions to Efficiently Simulate and Evaluate NFL Seasons | Sebastian Carl |
| NFLSimulatoR | 0.4.0 | Simulating Plays and Drives in the NFL | Ryan Elmore |
| nflverse | 1.0.3 | Easily Install and Load the 'nflverse' | Sebastian Carl |
| nftbart | 2.1 | Nonparametric Failure Time Bayesian Additive Regression Trees | Rodney Sparapani |
| NFWdist | 0.1.0 | The Standard Distribution Functions for the 3D NFW Profile | Aaron Robotham |
| ngboostForecast | 0.1.1 | Probabilistic Time Series Forecasting | Resul Akay |
| NGBVS | 0.3.0 | Bayesian Variable Selection for SNP Data using Normal-Gamma | Abdulaziz Alenazi |
| NGCHM | 1.0.2 | Next Generation Clustered Heat Maps | Mary A Rohrdanz |
| NGLVieweR | 1.3.1 | Interactive 3D Visualization of Molecular Structures | Niels van der Velden |
| ngram | 3.2.3 | Fast n-Gram 'Tokenization' | Drew Schmidt |
| ngramr | 1.9.3 | Retrieve and Plot Google n-Gram Data | Sean Carmody |
| ngramrr | 0.2.0 | A Simple General Purpose N-Gram Tokenizer | Chung-hong Chan |
| ngspatial | 1.2-2 | Fitting the Centered Autologistic and Sparse Spatial Generalized
Linear Mixed Models for Areal Data | John Hughes |
| NHANES | 2.1.0 | Data from the US National Health and Nutrition Examination Study | Randall Pruim |
| nhanesA | 1.0 | NHANES Data Retrieval | Christopher Endres |
| nhdplusTools | 1.0.0 | NHDPlus Tools | David Blodgett |
| nhdR | 0.6.1 | Tools for Working with the National Hydrography Dataset | Jemma Stachelek |
| nhlapi | 0.1.4 | A Minimum-Dependency 'R' Interface to the 'NHL' API | Jozef Hajnala |
| NHLData | 1.0.0 | Scores for Every Season Since the Founding of the NHL in 1917 | D. Lukke Sweet |
| nhm | 0.1.1 | Non-Homogeneous Markov and Hidden Markov Multistate Models | Andrew Titman |
| NHMSAR | 1.19 | Non-Homogeneous Markov Switching Autoregressive Models | Valerie Monbet |
| NHPoisson | 3.3 | Modelling and Validation of Non Homogeneous Poisson Processes | Ana C. Cebrian |
| nhppp | 0.1.3 | Simulating Nonhomogeneous Poisson Point Processes | Thomas Trikalinos |
| nhs.predict | 1.4.0 | Breast Cancer Survival and Therapy Benefits | Giovanni Tramonti |
| NHSDataDictionaRy | 1.2.5 | NHS Data Dictionary Toolset for NHS Lookups | Gary Hutson |
| nhsnumber | 0.1.2 | Tools for Working with NHS Number Checksums | Mark Sellors |
| NHSRdatasets | 0.3.0 | NHS and Healthcare-Related Data for Education and Training | Chris Mainey |
| NHSRplotthedots | 0.1.0 | Draw XmR Charts for NHSE/I 'Making Data Count' Programme | Christopher Reading |
| nhstplot | 1.3.0 | Plot Null Hypothesis Significance Tests | Nils Myszkowski |
| niaidMI | 1.1.0 | Markov Model Multiple Imputation for NIAID OS | Nathan Morris |
| niarules | 0.1.0 | Numerical Association Rule Mining using Population-Based
Nature-Inspired Algorithms | Iztok Jr. Fister |
| nic | 0.0.2 | Nature Inspired Colours | Thiyanga S. Talagala |
| nice | 0.4-2 | Get or Set UNIX Niceness | Charles J. Geyer |
| NicheBarcoding | 1.0 | Niche-model-Based Species Identification | Cai-qing YANG |
| nicheROVER | 1.1.2 | Niche Region and Niche Overlap Metrics for Multidimensional
Ecological Niches | Martin Lysy |
| nichevol | 0.1.20 | Tools for Ecological Niche Evolution Assessment Considering
Uncertainty | Marlon E. Cobos |
| nieve | 0.1.3 | Miscellaneous Utilities for Extreme Value Analysis | Yves Deville |
| nifti.io | 1.0.0 | Read and Write NIfTI Files | Timothy Koscik |
| NightDay | 1.0.1.1 | Night and Day Boundary Plot Function | Max Hughes-Brandl |
| nilde | 1.1-7 | Nonnegative Integer Solutions of Linear Diophantine Equations
with Applications | Natalya Pya Arnqvist |
| NiLeDAM | 0.3 | Monazite Dating for the NiLeDAM Team | Nathalie Vialaneix |
| nima | 0.6.2 | Nima Hejazi's R Toolbox | Nima Hejazi |
| NIMAA | 0.2.1 | Nominal Data Mining Analysis | Mohieddin Jafari |
| nimble | 1.1.0 | MCMC, Particle Filtering, and Programmable Hierarchical Modeling | Christopher Paciorek |
| nimbleAPT | 1.0.4 | Adaptive Parallel Tempering for 'NIMBLE' | David Pleydell |
| nimbleCarbon | 0.2.5 | Bayesian Analyses of Radiocarbon Dates with NIMBLE | Enrico Crema |
| nimbleEcology | 0.4.1 | Distributions for Ecological Models in 'nimble' | Benjamin R. Goldstein |
| nimbleHMC | 0.2.1 | Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling
Algorithms for 'nimble' | Daniel Turek |
| nimbleNoBounds | 1.0.2 | Transformed Distributions for Improved MCMC Efficiency | David Pleydell |
| nimbleSCR | 0.2.1 | Spatial Capture-Recapture (SCR) Methods Using 'nimble' | Daniel Turek |
| nimbleSMC | 0.11.0 | Sequential Monte Carlo Methods for 'nimble' | Christopher Paciorek |
| nipals | 0.8 | Principal Components Analysis using NIPALS or Weighted EMPCA,
with Gram-Schmidt Orthogonalization | Kevin Wright |
| nipnTK | 0.2.0 | National Information Platforms for Nutrition Anthropometric Data
Toolkit | Ernest Guevarra |
| NipponMap | 0.2 | Japanese Map Data and Functions | Susumu Tanimura |
| NIPTeR | 1.0.2 | Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal
Testing | Lennart Johansson |
| NIRStat | 1.1 | Novel Statistical Methods for Studying Near-Infrared
Spectroscopy (NIRS) Time Series Data | Yikai Wang |
| NISTnls | 0.9-13 | Nonlinear least squares examples from NIST | Douglas Bates |
| NISTunits | 1.0.1 | Fundamental Physical Constants and Unit Conversions from NIST | Jose Gama |
| NitrogenUptake2016 | 0.2.3 | Data and Source Code From: Nitrogen Uptake and Allocation
Estimates for Spartina Alterniflora and Distichlis Spicata | Troy D. Hill |
| nivm | 0.5 | Noninferiority Tests with Variable Margins | Michael P. Fay |
| nixmass | 1.0.2 | Snow Water Equivalent Modeling with the 'Delta.snow' Model and
Empirical Regression Models | Harald Schellander |
| njgeo | 0.1.0 | Tools for Geocoding Addresses in New Jersey using the 'NJOGIS'
API | Gavin Rozzi |
| nJira | 0.1.1 | SQL Like Query Interface for 'Jira' | Nikhil Choudhry |
| njtr1 | 0.3.2 | Download, Analyze & Clean New Jersey Car Crash Data | Gavin Rozzi |
| NlcOptim | 0.6 | Solve Nonlinear Optimization with Nonlinear Constraints | Xianyan Chen |
| nlcv | 0.3.5 | Nested Loop Cross Validation | Laure Cougnaud |
| nleqslv | 3.3.5 | Solve Systems of Nonlinear Equations | Berend Hasselman |
| nlgm | 1.0 | Non Linear Growth Models | Michail Tsagris |
| NlinTS | 1.4.5 | Models for Non Linear Causality Detection in Time Series | Youssef Hmamouche |
| nlist | 0.3.3 | Lists of Numeric Atomic Objects | Joe Thorley |
| nlive | 0.2.0 | Automated Estimation of Sigmoidal and Piecewise Linear Mixed
Models | Maude Wagner |
| nlme | 3.1-164 | Linear and Nonlinear Mixed Effects Models | R Core Team |
| nlmeU | 0.70-9 | Datasets and Utility Functions Enhancing Functionality of 'nlme'
Package | Andrzej Galecki |
| nlmeVPC | 2.6 | Visual Model Checking for Nonlinear Mixed Effect Model | Eun-Kyung Lee |
| nlmixr2 | 2.1.1 | Nonlinear Mixed Effects Models in Population PK/PD | Matthew Fidler |
| nlmixr2data | 2.0.9 | Nonlinear Mixed Effects Models in Population PK/PD, Data | Matthew Fidler |
| nlmixr2est | 2.2.1 | Nonlinear Mixed Effects Models in Population PK/PD, Estimation
Routines | Matthew Fidler |
| nlmixr2extra | 2.0.9 | Nonlinear Mixed Effects Models in Population PK/PD, Extra
Support Functions | Matthew Fidler |
| nlmixr2lib | 0.2.0 | A Model Library for 'nlmixr2' | Bill Denney |
| nlmixr2plot | 2.0.8 | Nonlinear Mixed Effects Models in Population PK/PD, Plot
Functions | Matthew Fidler |
| nlmixr2rpt | 0.2.0 | Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting
Results | John Harrold |
| nlmm | 1.1.0 | Generalized Laplace Mixed-Effects Models | Marco Geraci |
| nlmrt | 2016.3.2 | Functions for Nonlinear Least Squares Solutions | John C. Nash |
| nlMS | 1.1 | Non-Linear Model Selection | Carme Font |
| nlnet | 1.4 | Nonlinear Network, Clustering, and Variable Selection Based on
DCOL | Tianwei Yu |
| nlopt | 0.1.1 | Call Optimization Solvers with .nl Files | Brais Gonzalez-Rodriguez |
| nloptr | 2.0.3 | R Interface to NLopt | Aymeric Stamm |
| NLP | 0.2-1 | Natural Language Processing Infrastructure | Kurt Hornik |
| NLPclient | 1.0 | Stanford 'CoreNLP' Annotation Client | Florian Schwendinger |
| nlpred | 1.0.1 | Estimators of Non-Linear Cross-Validated Risks Optimized for
Small Samples | David Benkeser |
| nlpsem | 0.3 | Linear and Nonlinear Longitudinal Process in Structural Equation
Modeling Framework | Jin Liu |
| NLPutils | 0.0-5.1 | Natural Language Processing Utilities | Kurt Hornik |
| nlraa | 1.9.7 | Nonlinear Regression for Agricultural Applications | Fernando Miguez |
| nlreg | 1.2-2.2 | Higher Order Inference for Nonlinear Heteroscedastic Models | Alessandra R. Brazzale |
| NLRoot | 1.0 | searching for the root of equation | Zheng Sengui<1225620446 at qq.com> |
| nlrr | 0.1 | Non-Linear Relative Risk Estimation and Plotting | Yiqiang Zhan |
| nlrx | 0.4.5 | Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via
'XML' | Sebastian Hanss |
| nls.multstart | 1.3.0 | Robust Non-Linear Regression using AIC Scores | Daniel Padfield |
| nls2 | 0.3-3 | Non-Linear Regression with Brute Force | G. Grothendieck |
| nlsem | 0.8-1 | Fitting Structural Equation Mixture Models | Nora Umbach |
| nlshrink | 1.0.1 | Non-Linear Shrinkage Estimation of Population Eigenvalues and
Covariance Matrices | Pratik Ramprasad |
| nlsic | 1.0.4 | Non Linear Least Squares with Inequality Constraints | Serguei Sokol |
| nlsMicrobio | 1.0-0 | Nonlinear Regression in Predictive Microbiology | Aurelie Siberchicot |
| nlsmsn | 0.0-6 | Fitting Nonlinear Models with Scale Mixture of Skew-Normal
Distributions | Marcos Prates |
| nlsr | 2023.8.31 | Functions for Nonlinear Least Squares Solutions - Updated 2022 | John C Nash |
| nlstac | 0.2.0 | An R Package for Fitting Separable Nonlinear Models | Rafael Benitez |
| nlstools | 2.1-0 | Tools for Nonlinear Regression Analysis | Aurelie Siberchicot |
| NlsyLinks | 2.2.1 | Utilities and Kinship Information for Research with the NLSY | S. Mason Garrison |
| nlt | 2.2-1 | A Nondecimated Lifting Transform for Signal Denoising | Matt Nunes |
| nltm | 1.4.5 | Non-Linear Transformation Models | Mark Clements |
| nlts | 1.0-2 | Nonlinear Time Series Analysis | Ottar N. Bjornstad |
| nLTT | 1.4.9 | Calculate the NLTT Statistic | Thijs Janzen |
| nlWaldTest | 1.1.3 | Wald Test of Nonlinear Restrictions and Nonlinear CI | Oleh Komashko |
| NMA | 1.4-2 | Network Meta-Analysis Based on Multivariate Meta-Analysis Models | Hisashi Noma |
| nmadb | 1.2.0 | Network Meta-Analysis Database API | Theodoros Papakonstantinou |
| NMADiagT | 0.1.2 | Network Meta-Analysis of Multiple Diagnostic Tests | Boyang Lu |
| nmaINLA | 1.1.0 | Network Meta-Analysis using Integrated Nested Laplace
Approximations | Burak Kuersad Guenhan |
| NMAoutlier | 0.1.18 | Detecting Outliers in Network Meta-Analysis | Maria Petropoulou |
| nmaplateplot | 1.0.2 | The Plate Plot for Network Meta-Analysis Results | Zhenxun Wang |
| nmarank | 0.3-0 | Complex Hierarchy Questions in Network Meta-Analysis | Theodoros Papakonstantinou |
| nmathresh | 0.1.6 | Thresholds and Invariant Intervals for Network Meta-Analysis | David Phillippo |
| NMcalc | 0.0.3 | Basic Calculations for PK/PD Modeling | Philip Delff |
| NMdata | 0.1.5 | Preparation, Checking and Post-Processing Data for PK/PD
Modeling | Philip Delff |
| NMF | 0.27 | Algorithms and Framework for Nonnegative Matrix Factorization
(NMF) | Nicolas Sauwen |
| nmfbin | 0.2.1 | Non-Negative Matrix Factorization for Binary Data | Michal Ovadek |
| NMFN | 2.0.1 | Non-Negative Matrix Factorization | Suhai (Timothy) Liu |
| NMI | 2.0 | Normalized Mutual Information of Community Structure in Network | Tianhao Wu |
| Nmisc | 0.3.7 | Miscellaneous Functions Used at 'Numeract LLC' | Mike Badescu |
| Nmix | 2.0.5 | Bayesian Inference on Univariate Normal Mixtures | Peter Green |
| nmixgof | 0.1.0 | Goodness of Fit Checks for Binomial N-Mixture Models | Jonas Knape |
| NMMIPW | 0.1.0 | Inverse Probability Weighting under Non-Monotone Missing | Andrew Ying |
| NMOF | 2.8-0 | Numerical Methods and Optimization in Finance | Enrico Schumann |
| NMRphasing | 1.0.4 | Phase Error Correction and Baseline Correction for One
Dimensional ('1D') 'NMR' Data | Aixiang Jiang |
| nmrrr | 1.0.0 | Binning and Visualizing NMR Spectra in Environmental Samples | Kaizad Patel |
| NMsim | 0.1.0 | Seamless 'Nonmem' Simulation Platform | Philip Delff |
| nmslibR | 1.0.7 | Non Metric Space (Approximate) Library | Lampros Mouselimis |
| NMTox | 0.1.0 | Dose-Response Relationship Analysis of Nanomaterial Toxicity | Rahmasari Nur Azizah |
| NMVANOVA | 1.1.0 | Novice Model Variation ANOVA | Joseph Lipoff |
| nmw | 0.1.5 | Understanding Nonlinear Mixed Effects Modeling for Population
Pharmacokinetics | Kyun-Seop Bae |
| nn2poly | 0.1.1 | Neural Network Weights Transformation into Polynomial
Coefficients | Pablo Morala |
| nna | 0.0.2.1 | Nearest-Neighbor Analysis | Cristiano Pereira |
| NNbenchmark | 3.2.0 | Datasets and Functions to Benchmark Neural Network Packages | Patrice Kiener |
| nncc | 2.0.0 | Nearest Neighbors Matching of Case-Control Data | Beau Bruce |
| nndiagram | 1.0.0 | Generator of 'LaTeX' Code for Drawing Neural Network Diagrams
with 'TikZ' | Chencheng Fang |
| nnet | 7.3-19 | Feed-Forward Neural Networks and Multinomial Log-Linear Models | Brian Ripley |
| nnfor | 0.9.9 | Time Series Forecasting with Neural Networks | Nikolaos Kourentzes |
| nnGarrote | 1.0.4 | Non-Negative Garrote Estimation with Penalized Initial
Estimators | Anthony Christidis |
| nngeo | 0.4.7 | k-Nearest Neighbor Join for Spatial Data | Michael Dorman |
| nnlasso | 0.3 | Non-Negative Lasso and Elastic Net Penalized Generalized Linear
Models | Baidya Nath Mandal |
| nnlib2Rcpp | 0.2.5 | A Tool for Creating Custom Neural Networks in C++ and using Them
in R | Vasilis Nikolaidis |
| nnls | 1.5 | The Lawson-Hanson Algorithm for Non-Negative Least Squares
(NNLS) | Katharine Mullen |
| NNMIS | 1.0.1 | Nearest Neighbor Based Multiple Imputation for Survival Data
with Missing Covariates | Chiu-Hsieh Hsu |
| nnR | 0.1.0 | Neural Networks Made Algebraic | Shakil Rafi |
| NNS | 10.7 | Nonlinear Nonparametric Statistics | Fred Viole |
| nnspat | 0.1.2 | Nearest Neighbor Methods for Spatial Patterns | Elvan Ceyhan |
| nnt | 0.1.4 | The Number Needed to Treat (NNT) for Survival Endpoint | Zhao Yang |
| NNTbiomarker | 0.29.11 | Calculate Design Parameters for Biomarker Validation Studies | Roger Day |
| nnTensor | 1.2.0 | Non-Negative Tensor Decomposition | Koki Tsuyuzaki |
| NO.PING.PONG | 0.1.8.7 | Incorporating Previous Findings When Evaluating New Data | Brian P. O'Connor |
| noaaoceans | 0.3.0 | Collect Ocean Data from NOAA | Sean Warlick |
| noaastormevents | 0.2.0 | Explore NOAA Storm Events Database | Brooke Anderson |
| noah | 0.1.0 | Create Unique Pseudonymous Animal Names | Tobias Busch |
| NobBS | 1.0.0 | Nowcasting by Bayesian Smoothing | Sarah McGough |
| noctua | 2.6.2 | Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI'
Interface) | Dyfan Jones |
| nodbi | 0.10.4 | 'NoSQL' Database Connector | Ralf Herold |
| node2vec | 0.1.0 | Algorithmic Framework for Representational Learning on Graphs | Yang Tian |
| nodeSub | 1.2.8 | Simulate DNA Alignments Using Node Substitutions | Thijs Janzen |
| nodiv | 1.4.2 | Compares the Distribution of Sister Clades Through a Phylogeny | Michael Krabbe Borregaard |
| nofrills | 0.3.2 | Low-Cost Anonymous Functions | Eugene Ha |
| noia | 0.97.3 | Implementation of the Natural and Orthogonal InterAction (NOIA)
Model | Arnaud Le Rouzic |
| noise | 1.0.2 | Estimation of Intrinsic and Extrinsic Noise from Single-Cell
Data | Audrey Q. Fu |
| noisemodel | 1.0.2 | Noise Models for Classification Datasets | José A. Sáez |
| noisyCE2 | 1.1.0 | Cross-Entropy Optimisation of Noisy Functions | Flavio Santi |
| noisyr | 1.0.0 | Noise Quantification in High Throughput Sequencing Output | Ilias Moutsopoulos |
| noisySBM | 0.1.4 | Noisy Stochastic Block Mode: Graph Inference by Multiple Testing | Tabea Rebafka |
| noisysbmGGM | 0.1.2.3 | Noisy Stochastic Block Model for GGM Inference | Valentin Kilian |
| nolock | 1.1.0 | Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in Active
Script | Arkadiusz W. Pajda |
| nombre | 0.4.1 | Number Names | Alexander Rossell Hayes |
| nomclust | 2.8.0 | Hierarchical Cluster Analysis of Nominal Data | Zdenek Sulc |
| nominatimlite | 0.3.0 | Interface with 'Nominatim' API Service | Diego Hernangómez |
| nomisr | 0.4.7 | Access 'Nomis' UK Labour Market Data | Evan Odell |
| nomnoml | 0.3.0 | Sassy 'UML' Diagrams | Andrie de Vries |
| nomogramEx | 3.0 | Extract Equations from a Nomogram | Zhicheng Du |
| nomogramFormula | 1.2.0.0 | Calculate Total Points and Probabilities for Nomogram | Jing Zhang |
| nomordR | 0.1 | Randomization Test for Sequences of Nominal Values | Peter Szabo |
| NonCompart | 0.7.0 | Noncompartmental Analysis for Pharmacokinetic Data | Kyun-Seop Bae |
| noncompliance | 0.2.2 | Causal Inference in the Presence of Treatment Noncompliance
Under the Binary Instrumental Variable Model | Wen Wei Loh |
| noncomplyR | 1.0 | Bayesian Analysis of Randomized Experiments with Non-Compliance | Scott Coggeshall |
| nonet | 0.4.0 | Weighted Average Ensemble without Training Labels | Aviral Vijay |
| nonLinearDotPlot | 0.5.0 | Non Linear Dot Plots | Sören Döring |
| nonlinearICP | 0.1.2.1 | Invariant Causal Prediction for Nonlinear Models | Christina Heinze-Deml |
| NonlinearRDD | 0.0.4 | Nonlinear Regression Discontinuity Design | Haitian Xie |
| NonlinearTSA | 0.5.0 | Nonlinear Time Series Analysis | Burak Guris |
| nonlinearTseries | 0.3.0 | Nonlinear Time Series Analysis | Constantino A. Garcia |
| nonmem2R | 0.2.5 | Loading NONMEM Output Files with Functions for Visual Predictive
Checks (VPC) and Goodness of Fit (GOF) Plots | Magnus Astrand |
| nonmem2rx | 0.1.3 | 'nonmem2rx' Converts 'NONMEM' Models to 'rxode2' | Matthew Fidler |
| nonmemica | 1.0.8 | Create and Evaluate NONMEM Models in a Project Context | Tim Bergsma |
| nonneg.cg | 0.1.6-1 | Non-Negative Conjugate-Gradient Minimizer | David Cortes |
| nonnest2 | 0.5-6 | Tests of Non-Nested Models | Edgar Merkle |
| NonNorMvtDist | 1.0.2 | Multivariate Lomax (Pareto Type II) and Its Related
Distributions | Zhixin Lun |
| nonpar | 1.0.2 | A Collection of Nonparametric Hypothesis Tests | D. Lukke Sweet |
| nonparaeff | 0.5-13 | Nonparametric Methods for Measuring Efficiency and Productivity | Dong-hyun Oh |
| nonparametric.bayes | 0.0.1 | Project Code - Nonparametric Bayes | Erik-Cristian Seulean |
| Nonpareil | 3.4.0 | Metagenome Coverage Estimation and Projections for 'Nonpareil' | Luis M. Rodriguez-R |
| NonParRolCor | 0.8.0 | a Non-Parametric Statistical Significance Test for Rolling
Window Correlation | Josue M. Polanco-Martinez |
| NonProbEst | 0.2.4 | Estimation in Nonprobability Sampling | Luis Castro Martín |
| nonprobsvy | 0.1.0 | Inference Based on Non-Probability Samples | Łukasz Chrostowski |
| nopaco | 1.0.7 | Non-Parametric Concordance Coefficient | Rowan Kuiper |
| nopp | 1.1.2 | Nash Optimal Party Positions | Stefano M. Iacus |
| nor1mix | 1.3-3 | Normal aka Gaussian 1-d Mixture Models | Martin Maechler |
| nord | 1.0.0 | Arctic Ice Studio's Nord and Group of Seven Inspired Colour
Palettes for 'ggplot2' | Jake Kaupp |
| nordklimdata1 | 1.2 | Dataset for Climate Analysis with Data from the Nordic Region | Jose Gama |
| norm | 1.0-11.1 | Analysis of Multivariate Normal Datasets with Missing Values | John Fox |
| NORMA | 0.1 | Builds General Noise SVRs | Jesus Prada |
| normaliseR | 0.1.2 | Re-Scale Vectors and Time-Series Features | Trent Henderson |
| NormalityAssessment | 0.1.0 | A Graphical User Interface for Testing Normality Visually | Christopher Casement |
| normalize | 0.1.0 | Centering and Scaling of Numeric Data | Lennart Oelschläger |
| normalizeH | 1.0.0 | Normalize Hadamard Matrix | Baidya Nath Mandal |
| NormalLaplace | 0.3-1 | The Normal Laplace Distribution | David Scott |
| normalp | 0.7.2.1 | Routines for Exponential Power Distribution | Angelo M. Mineo |
| normalr | 1.0.0 | Normalisation of Multiple Variables in Large-Scale Datasets | Kevin Chang |
| NormData | 1.0 | Derivation of Regression-Based Normative Data | Wim Van der Elst |
| NormExpression | 0.1.1 | Normalize Gene Expression Data using Evaluated Methods | Shan Gao |
| normfluodbf | 1.5.2 | Cleans and Normalizes FLUOstar DBF and DAT Files | Tingwei Adeck |
| NormPsy | 1.0.8 | Normalisation of Psychometric Tests | Cecile Proust-Lima |
| nortest | 1.0-4 | Tests for Normality | Uwe Ligges |
| nortestARMA | 1.0.2 | Neyman Smooth Tests of Normality for the Errors of ARMA Models | Pierre Lafaye de Micheaux |
| nortsTest | 1.1.2 | Assessing Normality of Stationary Process | Asael Alonzo Matamoros |
| nos | 2.0.0 | Compute Node Overlap and Segregation in Ecological Networks | Thomas Matthews |
| nose | 1.0 | nose Package for R | Sumathi R |
| nosoi | 1.1.2 | A Forward Agent-Based Transmission Chain Simulator | Sebastian Lequime |
| NostalgiR | 1.0.2 | Advanced Text-Based Plots | Hien D. Nguyen |
| not | 1.5 | Narrowest-Over-Threshold Change-Point Detection | Yining Chen |
| notebookutils | 1.5.3 | Dummy R APIs Used in 'Azure Synapse Analytics' for Local
Developments | runtimeexp |
| notifyme | 0.3.0 | Send Alerts to your Cellphone and Phillips Hue Lights | James Black |
| NovelDistns | 0.1.0 | Computes PDF, CDF, Quantile, Random Numbers and Measures of
Inference for 3 General Families of Distributions | Mutua Kilai |
| novelforestSG | 2.1.0 | Dataset from the Novel Forests of Singapore | Hao Ran Lai |
| novelqualcodes | 0.13.1 | Visualise the Path to a Stopping Point in Qualitative Interviews
Based on Novel Codes | Desi Quintans |
| NoviceDeveloperResources | 1.1.0 | Resources to Assist Novice Developers | Barry Zeeberg |
| NoviceDeveloperResources2 | 1.0 | Further Resources to Assist Novice Developers | Barry Zeeberg |
| noweb | 1.1-4 | The 'noweb' System for R | Terry Therneau |
| Nozzle.R1 | 1.1-1.1 | Nozzle Reports | Nils Gehlenborg |
| np | 0.60-17 | Nonparametric Kernel Smoothing Methods for Mixed Data Types | Jeffrey S. Racine |
| nparACT | 0.8 | Non-Parametric Measures of Actigraphy Data | Christine Blume |
| nparcomp | 3.0 | Multiple Comparisons and Simultaneous Confidence Intervals | Kerstin Rubarth |
| nparLD | 2.2 | Nonparametric Analysis of Longitudinal Data in Factorial
Experiments | Frank Konietschke |
| nparMD | 0.2.1 | Nonparametric Analysis of Multivariate Data in Factorial Designs | Maximilian Kiefel |
| nparsurv | 0.1.0 | Nonparametric Tests for Main Effects, Simple Effects and
Interaction Effect in a Factorial Design with Censored Data | Christine Kroener |
| NPBayesImputeCat | 0.5 | Non-Parametric Bayesian Multiple Imputation for Categorical Data | Jingchen Hu |
| npboottprm | 0.2.1 | Nonparametric Bootstrap Test with Pooled Resampling | Mackson Ncube |
| npboottprmFBar | 0.1.1 | Informative Nonparametric Bootstrap Test with Pooled Resampling | Mackson Ncube |
| npbr | 1.8 | Nonparametric Boundary Regression | Thibault Laurent |
| NPCD | 1.0-11 | Nonparametric Methods for Cognitive Diagnosis | Yi Zheng |
| NPCirc | 3.1.1 | Nonparametric Circular Methods | Maria Alonso-Pena |
| npclust | 0.1.0 | Nonparametric Tests for Incomplete Clustered Data | Yue Cui |
| npcopTest | 1.03 | Non Parametric Test for Detecting Changes in the Copula | Tom Rohmer |
| NPCox | 1.2 | Nonparametric and Semiparametric Proportional Hazards Model | Qi Yang |
| npcp | 0.2-5 | Some Nonparametric CUSUM Tests for Change-Point Detection in
Possibly Multivariate Observations | Ivan Kojadinovic |
| npcs | 0.1.1 | Neyman-Pearson Classification via Cost-Sensitive Learning | Ching-Tsung Tsai |
| npcure | 0.1-5 | Nonparametric Estimation in Mixture Cure Models | Ignacio López-de-Ullibarri |
| npcurePK | 1.0-2 | Mixture Cure Model Estimation with Cure Status Partially Known | Wende Clarence Safari |
| npde | 3.5 | Normalised Prediction Distribution Errors for Nonlinear
Mixed-Effect Models | Emmanuelle Comets |
| npExact | 0.2 | Exact Nonparametric Hypothesis Tests for the Mean, Variance and
Stochastic Inequality | Oliver Reiter |
| NPflow | 0.13.5 | Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry
Data | Boris P Hejblum |
| nph | 2.1 | Planning and Analysing Survival Studies under Non-Proportional
Hazards | Robin Ristl |
| NPHazardRate | 0.1 | Nonparametric Hazard Rate Estimation | Dimitrios Bagkavos |
| NPHMC | 2.3 | Sample Size Calculation for the Proportional Hazards Mixture
Cure Model | Chao Cai |
| nphPower | 1.1.0 | Sample Size Calculation under Non-Proportional Hazards | Huan Cheng |
| nphRCT | 0.1.0 | Non-Proportional Hazards in Randomized Controlled Trials | Dominic Magirr |
| npi | 0.2.0 | Access the U.S. National Provider Identifier Registry API | Frank Farach |
| npIntFactRep | 1.5 | Nonparametric Interaction Tests for Factorial Designs with
Repeated Measures | Jos Feys |
| NPIstats | 0.1.0 | Nonparametric Predictive Inference | Tahani Coolen-Maturi |
| nplplot | 4.7 | Plotting Linkage and Association Results | Daniel E. Weeks |
| nplr | 0.1-7 | N-Parameter Logistic Regression | Frederic Commo |
| nplyr | 0.2.0 | A Grammar of Nested Data Manipulation | Mark Rieke |
| npmlda | 1.0.0 | Nonparametric Models for Longitudinal Data | Xin Tian |
| NPMLEcmprsk | 3.0 | Type-Specific Failure Rate and Hazard Rate on Competing Risks
Data | Chung-Hsing Chen |
| npmlreg | 0.46-5 | Nonparametric Maximum Likelihood Estimation for Random Effect
Models | Jochen Einbeck |
| npmr | 1.3.1 | Nuclear Penalized Multinomial Regression | Scott Powers |
| npmv | 2.4.0 | Nonparametric Comparison of Multivariate Samples | Amanda Ellis |
| npordtests | 1.2 | Nonparametric Tests for Equality of Location Against Ordered
Alternatives | Bulent Altunkaynak |
| NPP | 0.6.0 | Normalized Power Prior Bayesian Analysis | Zifei Han |
| nppbib | 1.2-0 | Nonparametric Partially-Balanced Incomplete Block Design
Analysis | David Allingham |
| npphen | 2.0.0 | Vegetation Phenological Cycle and Anomaly Detection using Remote
Sensing Data | José A. Lastra |
| NPRED | 1.0.7 | Predictor Identifier: Nonparametric Prediction | Ze Jiang |
| npreg | 1.1.0 | Nonparametric Regression via Smoothing Splines | Nathaniel E. Helwig |
| npregderiv | 1.0 | Nonparametric Estimation of the Derivatives of a Regression
Function | Olga Savchuk |
| npregfast | 1.5.2 | Nonparametric Estimation of Regression Models with
Factor-by-Curve Interactions | Marta Sestelo |
| nprobust | 0.4.0 | Nonparametric Robust Estimation and Inference Methods using
Local Polynomial Regression and Kernel Density Estimation | Sebastian Calonico |
| nproc | 2.1.5 | Neyman-Pearson (NP) Classification Algorithms and NP Receiver
Operating Characteristic (NP-ROC) Curves | Yang Feng |
| npROCRegression | 1.0-7 | Kernel-Based Nonparametric ROC Regression Modelling | Maria Xose Rodriguez-Alvarez |
| nprotreg | 1.1.1 | Nonparametric Rotations for Sphere-Sphere Regression | Giovanni Lafratta |
| npsf | 0.8.0 | Nonparametric and Stochastic Efficiency and Productivity
Analysis | Oleg Badunenko |
| npsm | 1.1.1 | Nonparametric Statistical Methods | John Kloke |
| npsp | 0.7-13 | Nonparametric Spatial Statistics | Ruben Fernandez-Casal |
| npsr | 0.1.1 | Validate Instrumental Variables using NPS | Fabian Sellmann |
| npsurv | 0.5-0 | Nonparametric Survival Analysis | Yong Wang |
| npsurvSS | 1.0.1 | Sample Size and Power Calculation for Common Non-Parametric
Tests in Survival Analysis | Godwin Yung |
| nptest | 1.1 | Nonparametric Bootstrap and Permutation Tests | Nathaniel E. Helwig |
| npwbs | 0.2.0 | Nonparametric Multiple Change Point Detection Using WBS | Gordon J. Ross |
| nrba | 0.3.1 | Methods for Conducting Nonresponse Bias Analysis (NRBA) | Ben Schneider |
| nRegression | 0.5.1 | Simulation-Based Calculations of Sample Size for Linear and
Logistic Regression | Srivastav Budugutta |
| NRejections | 1.2.0 | Metrics for Multiple Testing with Correlated Outcomes | Maya B. Mathur |
| nricens | 1.6 | NRI for Risk Prediction Models with Time to Event and Binary
Response Data | Eisuke Inoue |
| NSAE | 0.4.0 | Nonstationary Small Area Estimation | Saurav Guha |
| nsarfima | 0.2.0.0 | Methods for Fitting and Simulating Non-Stationary ARFIMA Models | Benjamin Groebe |
| nscancor | 0.7.0-6 | Non-Negative and Sparse CCA | Christian Sigg |
| NScluster | 1.3.6-1 | Simulation and Estimation of the Neyman-Scott Type Spatial
Cluster Models | Masami Saga |
| nse | 1.21 | Numerical Standard Errors Computation in R | Keven Bluteau |
| nser | 1.5.1 | Bhavcopy and Live Market Data from National Stock Exchange (NSE)
& Bombay Stock Exchange (BSE) India | Nandan Patil |
| nseval | 0.5.1 | Tools for Lazy and Non-Standard Evaluation | Peter Meilstrup |
| nsga2R | 1.1 | Elitist Non-Dominated Sorting Genetic Algorithm | Ming-Chang (Alan) Lee |
| nsga3 | 0.0.3 | An Implementation of Non-Dominated Sorting Genetic Algorithm III
for Feature Selection | Artem Shramko |
| NSM3 | 1.18 | Functions and Datasets to Accompany Hollander, Wolfe, and
Chicken - Nonparametric Statistical Methods, Third Edition | Grant Schneider |
| nsm3data | 0.1 | Datasets to Accompany Hollander, Wolfe, and Chicken NSM3 | Sejin Kim |
| NSO1212 | 1.4.0 | National Statistical Office of Mongolia's Open Data API Handler | Makhgal Ganbold |
| nsp | 1.0.0 | Inference for Multiple Change-Points in Linear Models | Piotr Fryzlewicz |
| nspmix | 1.5-0 | Nonparametric and Semiparametric Mixture Estimation | Yong Wang |
| nsprcomp | 0.5.1-2 | Non-Negative and Sparse PCA | Christian Sigg |
| nsRFA | 0.7-16 | Non-Supervised Regional Frequency Analysis | Alberto Viglione |
| nsROC | 1.1 | Non-Standard ROC Curve Analysis | Sonia Perez Fernandez |
| NST | 3.1.10 | Normalized Stochasticity Ratio | Daliang Ning |
| nswgeo | 0.4.0 | Geospatial Data and Maps for New South Wales, Australia | Carl Suster |
| nsyllable | 1.0.1 | Count Syllables in Character Vectors | Kenneth Benoit |
| ntdr | 0.3.4 | Retrieve Data from the National Transit Database | Harald Kliems |
| NTLKwIEx | 0.1.0 | Computation of NTLKwIEx Distribution Properties | Théophile Otodji |
| NTS | 1.1.3 | Nonlinear Time Series Analysis | Xialu Liu |
| ntsDists | 2.0.0 | Neutrosophic Distributions | Danial Mazarei |
| NTSS | 0.1.2 | Nonparametric Tests in Spatial Statistics | Jiří Dvořák |
| NU.Learning | 1.5 | Nonparametric and Unsupervised Learning from Cross-Sectional
Observational Data | Bob Obenchain |
| nucim | 1.0.11 | Nucleome Imaging Toolbox | Volker Schmid |
| NUCOMBog | 1.0.4.2 | NUtrient Cycling and COMpetition Model Undisturbed Open Bog
Ecosystems in a Temperate to Sub-Boreal Climate | J.W.M. Pullens |
| NUETON | 0.1.0 | Nitrogen Use Efficiency Toolkit on Numerics | Shubham Love |
| nuggets | 1.0.2 | Extensible Data Pattern Searching Framework | Michal Burda |
| nullabor | 0.3.9 | Tools for Graphical Inference | Di Cook |
| numbat | 1.4.0 | Haplotype-Aware CNV Analysis from scRNA-Seq | Teng Gao |
| numberofalleles | 1.0.1 | Compute the Probability Distribution of the Number of Alleles in
a DNA Mixture | Maarten Kruijver |
| numbers | 0.8-5 | Number-Theoretic Functions | Hans W. Borchers |
| numbersBR | 0.0.2 | Validate, Compare and Format Identification Numbers from Brazil | Wilson Freitas |
| numDeriv | 2016.8-1.1 | Accurate Numerical Derivatives | Paul Gilbert |
| Numero | 1.9.6 | Statistical Framework to Define Subgroups in Complex Datasets | Ville-Petteri Makinen |
| numform | 0.7.0 | Tools to Format Numbers for Publication | Tyler Rinker |
| numGen | 0.1.1 | Number Series Generator | Bao Sheng Loe (Aiden) |
| numKM | 0.2.0 | Create a Kaplan-Meier Plot with Numbers at Risk | Zhicheng Du |
| numOSL | 2.8 | Numeric Routines for Optically Stimulated Luminescence Dating | Jun Peng |
| NutrienTrackeR | 1.3.0 | Food Composition Information and Dietary Assessment | Rafael Ayala |
| nutriNetwork | 0.1.2 | Structure Learning with Copula Graphical Model | Pariya Behrouzi |
| nutrition | 1.1.0 | Useful Functions for People on a Diet | Waldir Leoncio |
| nuts | 1.0.0 | Convert European Regional Data | Moritz Hennicke |
| NVAR | 0.1.0 | Nonlinear Vector Autoregression Models | Jingmeng Cui |
| NVCSSL | 2.0 | Nonparametric Varying Coefficient Spike-and-Slab Lasso | Ray Bai |
| nvctr | 0.1.4 | The n-vector Approach to Geographical Position Calculations
using an Ellipsoidal Model of Earth | Enrico Spinielli |
| nvmix | 0.1-1 | Multivariate Normal Variance Mixtures | Marius Hofert |
| nycflights13 | 1.0.2 | Flights that Departed NYC in 2013 | Hadley Wickham |
| nycflights23 | 0.1.0 | Flights and Other Useful Metadata for NYC Outbound Flights in
2023 | Chester Ismay |
| nzelect | 0.4.0 | New Zealand Election Data | Peter Ellis |
| nzffdr | 2.1.0 | Import, Clean and Update Data from the New Zealand Freshwater
Fish Database | Finnbar Lee |
| nzilbb.labbcat | 1.3-0 | Accessing Data Stored in 'LaBB-CAT' Instances | Robert Fromont |
| nzpullover | 0.3.0 | Driving Offences in New Zealand Between 2009 and 2016 | Duncan Garmonsway |
| o2geosocial | 1.1.2 | Reconstruction of Transmission Chains from Surveillance Data | Alexis Robert |
| o2plsda | 0.0.18 | Multiomics Data Integration | Kai Guo |
| oaColors | 0.0.4 | OpenAnalytics Colors Package | Jason Waddell |
| oai | 0.4.0 | General Purpose 'Oai-PMH' Services Client | Michal Bojanowski |
| OAIHarvester | 0.3-4 | Harvest Metadata Using OAI-PMH Version 2.0 | Kurt Hornik |
| oaii | 0.5.0 | 'OpenAI' API R Interface | Cezary Kuran |
| oaPlots | 0.0.25 | OpenAnalytics Plots Package | Jason Waddell |
| oaqc | 1.0 | Computation of the Orbit-Aware Quad Census | Mark Ortmann |
| Oarray | 1.4-9 | Arrays with Arbitrary Offsets | Robin K. S. Hankin |
| oaxaca | 0.1.5 | Blinder-Oaxaca Decomposition | Marek Hlavac |
| obAnalytics | 0.1.1 | Limit Order Book Analytics | Philip Stubbings |
| OBASpatial | 1.9 | Objective Bayesian Analysis for Spatial Regression Models | Alejandro Ordonez |
| obcost | 0.1.0 | Obesity Cost Database | Tianyue Zang |
| obfuscatoR | 0.2.2 | Obfuscation Game Designs | Erlend Dancke Sandorf |
| OBIC | 3.0.2 | Calculate the Open Bodem Index (OBI) Score | Sven Verweij |
| objectProperties | 0.6.8 | A Factory of Self-Describing Properties | Michael Lawrence |
| objectremover | 0.8.1 | 'RStudio' Addin for Removing Objects from the Global Environment
Based on Patterns and Object Type | Alan Yeung |
| objectSignals | 0.10.3 | Observer Pattern for S4 | Michael Lawrence |
| OBL | 0.2.1 | Optimum Block Length | Daniel James |
| oblicubes | 0.1.2 | 3D Rendering Using Obliquely Projected Cubes and Cuboids | Trevor L Davis |
| obliqueRSF | 0.1.2 | Oblique Random Forests for Right-Censored Time-to-Event Data | Byron Jaeger |
| OBMbpkg | 1.0.0 | Estimate the Population Size for the Mb Capture-Recapture Model | John Snyder |
| OBRE | 0.2-0 | Optimal B-Robust Estimator Tools | Fabio Piacenza |
| Observation | 0.3.0 | Collect and Process Physical Activity Direct Observation Data | Paul R. Hibbing |
| observer | 0.1.2 | Observe and Check your Data | Paul Poncet |
| OBsMD | 11.1 | Objective Bayesian Model Discrimination in Follow-Up Designs | Marta Nai Ruscone |
| obsSens | 1.4 | Sensitivity Analysis for Observational Studies | Greg Snow <538280 at gmail.com> |
| oc | 1.2.1 | Optimal Classification Roll Call Analysis Software | William May |
| OCA | 0.5 | Optimal Capital Allocations | Jilber Urbina |
| occ | 1.1 | Estimates PET Neuroreceptor Occupancies | Joaquim Radua |
| occCite | 0.5.6 | Querying and Managing Large Biodiversity Occurrence Datasets | Hannah L. Owens |
| occumb | 1.1.0 | Site Occupancy Modeling for Environmental DNA Metabarcoding | Keiichi Fukaya |
| occupancy | 1.2 | Probability Functions for Occupancy Distributions | Ben O'Neill |
| occupationMeasurement | 0.3.2 | Interactively Measure Occupations in Interviews and Beyond | Jan Simson |
| ocd | 1.1 | High-Dimensional Multiscale Online Changepoint Detection | Yudong Chen |
| oce | 1.8-2 | Analysis of Oceanographic Data | Dan Kelley |
| oceanexplorer | 0.1.0 | Explore Our Planet's Oceans with NOAA | Martin Schobben |
| oceanic | 0.1.6 | Location Identify Tool | shiao chih hao |
| oceanis | 1.8.5 | Cartography for Statistical Analysis | Sébastien Novella |
| oceanmap | 0.1.6 | A Plotting Toolbox for 2D Oceanographic Data | Robert K. Bauer |
| OceanView | 1.0.7 | Visualisation of Oceanographic Data and Model Output | Karline Soetaert |
| oceanwaves | 0.2.0 | Ocean Wave Statistics | Luke Miller |
| oceCens | 0.1.2 | Ordered Composite Endpoints with Censoring | Michael P. Fay |
| ocedata | 0.2.2 | Oceanographic Data Sets for 'oce' Package | Dan Kelley |
| ocf | 1.0.0 | Ordered Correlation Forest | Riccardo Di Francesco |
| ockc | 1.1 | Order Constrained Solutions in k-Means Clustering | Sebastian Krey |
| oclust | 0.2.0 | Gaussian Model-Based Clustering with Outliers | Paul D. McNicholas |
| OCNet | 1.2.1 | Optimal Channel Networks | Luca Carraro |
| ocomposition | 1.1 | Regression for Rank-Indexed Compositional Data | Arturas Rozenas |
| ocp | 0.1.1 | Bayesian Online Changepoint Detection | Andrea Pagotto |
| ocs4R | 0.2-3 | Interface to Open Collaboration Services (OCS) REST API | Emmanuel Blondel |
| OCSdata | 1.0.2 | Download Data from the 'Open Case Studies' Repository | Carrie Wright |
| octopus | 0.4.2 | A Database Management Tool | Marcus Codrescu |
| octopusR | 1.0.1 | Interact with the 'Octopus Energy' API | James McMahon |
| od | 0.4.4 | Manipulate and Map Origin-Destination Data | Robin Lovelace |
| ODataQuery | 0.5.3 | Querying on 'OData' | Laurent Verweijen |
| ODB | 1.2.1 | Open Document Databases (.odb) Management | Sylvain Mareschal |
| odbc | 1.4.2 | Connect to ODBC Compatible Databases (using the DBI Interface) | Hadley Wickham |
| odbr | 0.1.0 | Download Data from Brazil's Origin Destination Surveys | Haydee Svab |
| oddnet | 0.1.1 | Anomaly Detection in Temporal Networks | Sevvandi Kandanaarachchi |
| odds.converter | 1.4.8 | Betting Odds Conversion | Marco Blume |
| odds.n.ends | 0.1.4 | Odds Ratios, Contingency Table, and Model Significance from a
Generalized Linear Model Object | Jenine Harris |
| oddsapiR | 0.0.3 | Access Live Sports Odds from the Odds API | Saiem Gilani |
| OddsPlotty | 1.0.2 | Odds Plot to Visualise a Logistic Regression Model | Gary Hutson |
| oddsratio | 2.0.1 | Odds Ratio Calculation for GAM(M)s & GLM(M)s | Patrick Schratz |
| oddstream | 0.5.0 | Outlier Detection in Data Streams | Priyanga Dilini Talagala |
| odeGUTS | 1.0.2 | Solve ODE for GUTS-RED-SD and GUTS-RED-IT Using Compiled Code | Benoit Goussen |
| ODEnetwork | 1.3.2 | Network of Differential Equations | Dirk Surmann |
| ODEsensitivity | 1.1.2 | Sensitivity Analysis of Ordinary Differential Equations | Dirk Surmann |
| odetector | 1.0.1 | Outlier Detection Using Partitioning Clustering Algorithms | Zeynel Cebeci |
| odin | 1.2.5 | ODE Generation and Integration | Rich FitzJohn |
| odk | 1.5 | Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame | Muntashir-Al-Arefin |
| ODMeans | 0.2.1 | OD-Means: k-Means for Origin-Destination | Sebastian Moreno |
| odr | 1.4.4 | Optimal Design and Statistical Power for Experimental Studies
Investigating Main, Mediation, and Moderation Effects | Zuchao Shen |
| ODRF | 0.0.4 | Oblique Decision Random Forest for Classification and Regression | Yu Liu |
| ODS | 0.2.0 | Statistical Methods for Outcome-Dependent Sampling Designs | Yinghao Pan |
| OECD | 0.2.5 | Search and Extract Data from the OECD | Eric Persson |
| OEFPIL | 0.1.1 | Optimal Estimation of Function Parameters by Iterated
Linearization | Stanislav Zamecnik |
| oeli | 0.4.1 | My Utilities for Developing Data Science Software | Lennart Oelschläger |
| oem | 2.0.11 | Orthogonalizing EM: Penalized Regression for Big Tall Data | Jared Huling |
| oenb | 0.0.2 | Tools for the OeNB Data Web Service | Franz X. Mohr |
| OenoKPM | 2.4.1 | Modeling the Kinetics of Carbon Dioxide Production in Alcoholic
Fermentation | Angelo Gava |
| oesr | 0.1.0 | Methods for the Office of Evaluation Sciences | Ryan T. Moore |
| oews2020 | 1.0.0 | May 2020 Occupational Employment and Wage Statistics | Christopher Mann |
| oews2021 | 1.0.0 | May 2021 Occupational Employment and Wage Statistics | Christopher Mann |
| officedown | 0.3.1 | Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint' | David Gohel |
| officer | 0.6.5 | Manipulation of Microsoft Word and PowerPoint Documents | David Gohel |
| offlineChange | 0.0.4 | Detect Multiple Change Points from Time Series | Jiahuan Ye |
| offsetreg | 1.0.0 | An Extension of 'Tidymodels' Supporting Offset Terms | Matt Heaphy |
| ofGEM | 1.0 | A Meta-Analysis Approach with Filtering for Identifying
Gene-Level Gene-Environment Interactions with Genetic
Association Data | Jiebiao Wang |
| OGI | 1.0.0 | Objective General Index | Masaki Hamada |
| oglmx | 3.0.0.0 | Estimation of Ordered Generalized Linear Models | Nathan Carroll |
| ogrdbstats | 0.5.0 | Analysis of Adaptive Immune Receptor Repertoire Germ Line
Statistics | William Lees |
| OHCSpackage | 0.1.5 | Prepare Housing Data for Analysis | Ilythia Morley |
| ohenery | 0.1.1 | Modeling of Ordinal Random Variables via Softmax Regression | Steven E. Pav |
| Ohit | 1.0.0 | OGA+HDIC+Trim and High-Dimensional Linear Regression Models | Hai-Tang Chiou |
| oHMMed | 1.0.1 | HMMs with Ordered Hidden States and Emission Densities | Michal Majka |
| ohoegdm | 0.1.0 | Ordinal Higher-Order Exploratory General Diagnostic Model for
Polytomous Data | James Joseph Balamuta |
| OHPL | 1.4 | Ordered Homogeneity Pursuit Lasso for Group Variable Selection | Nan Xiao |
| ohsome | 0.2.2 | An 'ohsome API' Client | Oliver Fritz |
| ohtadstats | 2.1.1 | Tomoka Ohta D Statistics | Paul F. Petrowski |
| ohun | 1.0.1 | Optimizing Acoustic Signal Detection | Marcelo Araya-Salas |
| oii | 1.0.2.1 | Crosstab and Statistical Tests for OII MSc Stats Course | Scott Hale |
| ojsr | 0.1.2 | Crawler and Data Scraper for Open Journal System ('OJS') | Gaston Becerra |
| OkNNE | 1.0.1 | A k-Nearest Neighbours Ensemble via Optimal Model Selection for
Regression | Amjad Ali |
| okxAPI | 0.1.1 | An Unofficial Wrapper for 'okx exchange v5' API | Yongchao Fang |
| OLCPM | 0.1.1 | Online Change Point Detection for Matrix-Valued Time Series | Long Yu |
| olctools | 0.3.0 | Open Location Code Handling in R | Oliver Keyes |
| OlinkAnalyze | 3.7.0 | Facilitate Analysis of Proteomic Data from Olink | Kathleen Nevola |
| ollg | 1.0.0 | Computes some Measures of OLL-G Family of Distributions | Danial Mazarei |
| ollggamma | 1.0.2 | Odd Log-Logistic Generalized Gamma Probability Distribution | Matheus H. J. Saldanha |
| olr | 1.1 | Optimal Linear Regression | Mathew Fok |
| olsrr | 0.6.0 | Tools for Building OLS Regression Models | Aravind Hebbali |
| OLStrajr | 0.1.0 | Ordinary Least Squares Trajectory Analysis | Mackson Ncube |
| OlympicRshiny | 1.0.1 | 'Shiny' Application for Olympic Data | Amalan Mahendran |
| OmegaG | 1.0.1 | Omega-Generic: Composite Reliability of Multidimensional
Measures | Yujiao Mai |
| OmicKriging | 1.4.0 | Poly-Omic Prediction of Complex TRaits | Hae Kyung Im |
| OmicNavigator | 1.13.13 | Open-Source Software for 'Omic' Data Analysis and Visualization | John Blischak |
| omics | 0.1-5 | '--omics' Data Analysis Toolbox | Gianluca Campanella |
| OmicSense | 0.2.0 | Biosensor Development using Omics Data | Takahiko Koizumi |
| OmicsPLS | 2.0.2 | Data Integration with Two-Way Orthogonal Partial Least Squares | Said el Bouhaddani |
| OmicsQC | 1.1.0 | Nominating Quality Control Outliers in Genomic Profiling Studies | Paul C. Boutros |
| omicsTools | 1.0.5 | Omics Data Process Toolbox | Yaoxiang Li |
| omicwas | 0.8.0 | Cell-Type-Specific Association Testing in Bulk Omics Experiments | Fumihiko Takeuchi |
| Omisc | 0.1.5 | Univariate Bootstrapping and Other Things | Patrick O'Keefe |
| omnibus | 1.2.12 | Helper Tools for Managing Data, Dates, Missing Values, and Text | Adam B. Smith |
| OmnibusFisher | 1.0 | A Modified Fisher’s Method to Test Overall Gene-Level Effect | Qi Yan |
| omock | 0.1.0 | Creation of Mock Observational Medical Outcomes Partnership
Common Data Model | Mike Du |
| omopgenerics | 0.1.2 | Methods and Classes for the OMOP Common Data Model | Marti Catala |
| ompr | 1.0.4 | Model and Solve Mixed Integer Linear Programs | Dirk Schumacher |
| ompr.roi | 1.0.2 | A Solver for 'ompr' that Uses the R Optimization Infrastructure
('ROI') | Dirk Schumacher |
| omsvg | 0.1.0 | Build and Transform 'SVG' Objects | Richard Iannone |
| omu | 1.1.2 | A Metabolomics Analysis Tool for Intuitive Figures and
Convenient Metadata Collection | Connor Tiffany |
| onadata | 0.1 | Data Sets for Keith McNulty's Handbook of Graphs and Networks in
People Analytics | Keith McNulty |
| OnAge | 1.0.1 | Test of Between-Group Differences in the Onset of Senescence | Aurélie Siberchicot |
| onbabynames | 0.0.1 | Names Given to Babies in Ontario Between 1917 and 2018 | Marc-Andre Desautels |
| OnboardClient | 1.0.0 | Bindings for Onboard Data's Building Data API | Christopher Dudas-Thomas |
| onbrand | 1.0.5 | Templated Reporting Workflows in Word and PowerPoint | John Harrold |
| onc.api | 2.0.1.0 | Oceans 2.0 API Client Library | Bennit Mueller |
| once | 0.4.1 | Execute Expensive Operations Only Once | Gordon McDonald |
| OncoBayes2 | 0.8-9 | Bayesian Logistic Regression for Oncology Dose-Escalation Trials | Sebastian Weber |
| Oncofilterfast | 1.0.0 | Aids in the Analysis of Genes Influencing Cancer Survival | Pheonix Chen |
| oncomsm | 0.1.4 | Bayesian Multi-State Models for Early Oncology | Kevin Kunzmann |
| oncoPredict | 1.2 | Drug Response Modeling and Biomarker Discovery | Robert Gruener |
| OncoSubtype | 1.0.0 | Predict Cancer Subtypes Based on TCGA Data using Machine
Learning Method | Dadong Zhang |
| Oncotree | 0.3.5 | Estimating Oncogenetic Trees | Aniko Szabo |
| oncrawlR | 0.2.0 | Machine Learning for S.E.O | Vincent Terrasi |
| ondisc | 1.0.0 | Fast, Universal, and Intuitive Computing on Large-Scale
Single-Cell Data | Timothy Barry |
| One4All | 0.4 | Validate, Share, and Download Data | Hannah Sherrod |
| OneArm2stage | 1.2.1 | Phase II Single-Arm Two-Stage Designs with Time-to-Event
Outcomes | Xiaomeng Yuan |
| OneArmTTE | 1.0 | One-Arm Clinical Trial Designs for Time-to-Event Endpoint | Heng Zhou |
| oneclust | 0.3.0 | Maximum Homogeneity Clustering for Univariate Data | Nan Xiao |
| onehot | 0.1.1 | Fast Onehot Encoding for Data.frames | Eric E. Graves |
| onelogin | 0.2.0 | Interact with the 'OneLogin' API | Alex Gold |
| onemap | 3.0.0 | Construction of Genetic Maps in Experimental Crosses | Cristiane Taniguti |
| OneR | 2.2 | One Rule Machine Learning Classification Algorithm with
Enhancements | Holger von Jouanne-Diedrich |
| OneSampleLogRankTest | 0.9.2 | One-Sample Log-Rank Test | Divy Kangeyan |
| OneSampleMR | 0.1.3 | One Sample Mendelian Randomization and Instrumental Variable
Analyses | Tom Palmer |
| ONEST | 0.1.0 | Observers Needed to Evaluate Subjective Tests | Gang Han |
| OneStep | 0.9.3 | One-Step Estimation | Christophe Dutang |
| onetime | 0.2.0 | Run Code Only Once | David Hugh-Jones |
| OneTwoSamples | 1.1-0 | Deal with One and Two (Normal) Samples | Frederic Bertrand |
| onewaytests | 3.0 | One-Way Tests in Independent Groups Designs | Osman Dag |
| onion | 1.5-3 | Octonions and Quaternions | Robin K. S. Hankin |
| onlineBcp | 0.1.8 | Online Bayesian Methods for Change Point Analysis | Hongyan Xu |
| onlineCOV | 1.3 | Online Change Point Detection in High-Dimensional Covariance
Structure | Jun Li |
| onlineforecast | 1.0.2 | Forecast Modelling for Online Applications | Peder Bacher |
| onlinePCA | 1.3.2 | Online Principal Component Analysis | David Degras |
| onlineretail | 0.1.2 | Online Retail Dataset | Allan Quadros |
| onls | 0.1-2 | Orthogonal Nonlinear Least-Squares Regression | Andrej-Nikolai Spiess |
| onmaRg | 1.0.3 | Import Public Health Ontario's Ontario Marginalization Index | William Conley |
| onnx | 0.0.3 | R Interface to 'ONNX' | Yuan Tang |
| OnomasticDiversity | 0.1 | Onomastic Diversity Measures | Maria Jose Ginzo Villamayor |
| onpoint | 1.0.5 | Helper Functions for Point Pattern Analysis | Maximilian H.K. Hesselbarth |
| onsr | 1.0.2 | Client for the 'ONS' API | Kostas Vasilopoulos |
| onsvplot | 0.3.2 | National Road Safety Observatory (ONSV) Style for 'ggplot2'
Graphics | Pedro Augusto Borges Santos |
| ontoFAST | 1.0.0 | Interactive Annotation of Characters with Biological Ontologies | Sergei Tarasov |
| ontologics | 0.7.0 | Code-Logics to Handle Ontologies | Steffen Ehrmann |
| ontologyIndex | 2.12 | Reading Ontologies into R | Daniel Greene |
| ontologyPlot | 1.7 | Visualising Sets of Ontological Terms | Daniel Greene |
| ontologySimilarity | 2.7 | Calculating Ontological Similarities | Daniel Greene |
| ontophylo | 1.1.3 | Ontology-Informed Phylogenetic Comparative Analyses | Diego S. Porto |
| OOBCurve | 0.3 | Out of Bag Learning Curve | Philipp Probst |
| oolong | 0.6.0 | Create Validation Tests for Automated Content Analysis | Chung-hong Chan |
| oompaBase | 3.2.9 | Class Unions, Matrix Operations, and Color Schemes for OOMPA | Kevin R. Coombes |
| oompaData | 3.1.3 | Data to Illustrate OOMPA Algorithms | Kevin R. Coombes |
| ooplah | 0.2.0 | Helper Functions for Class Object-Oriented Programming | Raphael Sonabend |
| OOR | 0.1.4 | Optimistic Optimization in R | M. Binois |
| OOS | 1.0.0 | Out-of-Sample Time Series Forecasting | Tyler J. Pike |
| oosse | 1.0.11 | Out-of-Sample R² with Standard Error Estimation | Stijn Hawinkel |
| oottest | 0.9.1 | Out-of-Treatment Testing | Philipp Külpmann |
| opa | 0.8.3 | An Implementation of Ordinal Pattern Analysis | Timothy Beechey |
| opalr | 3.4.1 | 'Opal' Data Repository Client and 'DataSHIELD' Utils | Yannick Marcon |
| OPC | 0.0.2 | The Online Principal Component Estimation Method | Chunjie Wei |
| opdisDownsampling | 0.8.3 | Optimal Distribution Preserving Down-Sampling of Bio-Medical
Data | Jorn Lotsch |
| OPDOE | 1.0-10 | Optimal Design of Experiments | Albrecht Gebhardt |
| openai | 0.4.1 | R Wrapper for OpenAI API | Iegor Rudnytskyi |
| openair | 2.18-2 | Tools for the Analysis of Air Pollution Data | David Carslaw |
| openairmaps | 0.8.1 | Create Maps of Air Pollution Data | Jack Davison |
| openaistream | 0.2.0 | Streaming Capabilities for 'OpenAI API' Interactions | Li Gen |
| openalexR | 1.2.3 | Getting Bibliographic Records from 'OpenAlex' Database Using
'DSL' API | Massimo Aria |
| openbankeR | 0.1.1 | R Client for Querying the UK 'Open Banking' ('Open Data') API | Nik Lilovski |
| openblender | 0.5.81 | Request API Services | Daniel V. Pinacho |
| opencage | 0.2.2 | Geocode with the OpenCage API | Daniel Possenriede |
| OpenCL | 0.2-10 | Interface allowing R to use OpenCL | Simon Urbanek |
| opencpu | 2.2.11 | Producing and Reproducing Results | Jeroen Ooms |
| openCR | 2.2.6 | Open Population Capture-Recapture | Murray Efford |
| opencv | 0.4.0 | Bindings to 'OpenCV' Computer Vision Library | Jeroen Ooms |
| opendatatoronto | 0.1.5 | Access the City of Toronto Open Data Portal | Sharla Gelfand |
| opendotaR | 0.1.4 | Interface for OpenDota API | Kari Gunnarsson |
| openEBGM | 0.9.1 | EBGM Disproportionality Scores for Adverse Event Data Mining | John Ihrie |
| openeo | 1.3.1 | Client Interface for 'openEO' Servers | Florian Lahn |
| OpenImageR | 1.3.0 | An Image Processing Toolkit | Lampros Mouselimis |
| openintro | 2.4.0 | Data Sets and Supplemental Functions from 'OpenIntro' Textbooks
and Labs | Mine Çetinkaya-Rundel |
| openmeteo | 0.2.4 | Retrieve Weather Data from the Open-Meteo API | Tom Pisel |
| openmetrics | 0.3.0 | A 'Prometheus' Client for R Using the 'OpenMetrics' Format | Aaron Jacobs |
| OpenMindat | 1.0.0 | Quickly Retrieve Datasets from the 'mindat.org' API | Xiang Que |
| OpenML | 1.12 | Open Machine Learning and Open Data Platform | Giuseppe Casalicchio |
| openMSE | 1.0.0 | Easily Install and Load the 'openMSE' Packages | Adrian Hordyk |
| OpenMx | 2.21.11 | Extended Structural Equation Modelling | Joshua N. Pritikin |
| openNLP | 0.2-7 | Apache OpenNLP Tools Interface | Kurt Hornik |
| openNLPdata | 1.5.3-5 | Apache OpenNLP Jars and Basic English Language Models | Kurt Hornik |
| OpenRepGrid | 0.1.14 | Tools to Analyze Repertory Grid Data | Mark Heckmann |
| OpenRepGrid.ic | 0.6.2 | Interpretive Clustering for Repertory Grids | Mark Heckmann |
| openscoring | 1.0.1 | 'Open Scoring' API Client | Jakub Jędrusiak |
| openSkies | 1.2.1 | Retrieval, Analysis and Visualization of Air Traffic Data | Rafael Ayala |
| OpenSpecy | 1.0.8 | Analyze, Process, Identify, and Share Raman and (FT)IR Spectra | Win Cowger |
| openssl | 2.1.1 | Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL | Jeroen Ooms |
| OpenStreetMap | 0.4.0 | Access to Open Street Map Raster Images | Ian Fellows |
| OpenTreeChronograms | 2022.1.28 | Open Tree of Life Chronograms | Luna L. Sanchez Reyes |
| opentripplanner | 0.5.1 | Setup and connect to 'OpenTripPlanner' | Malcolm Morgan |
| openVA | 1.1.2 | Automated Method for Verbal Autopsy | Zehang Richard Li |
| openxlsx | 4.2.5.2 | Read, Write and Edit xlsx Files | Philipp Schauberger |
| openxlsx2 | 1.5 | Read, Write and Edit 'xlsx' Files | Jan Marvin Garbuszus |
| opera | 1.2.0 | Online Prediction by Expert Aggregation | Pierre Gaillard |
| operator.tools | 1.6.3 | Utilities for Working with R's Operators | Christopher Brown |
| operators | 0.1-8 | Additional Binary Operators | Romain Francois |
| opGMMassessment | 0.3.6 | Optimized Automated Gaussian Mixture Assessment | Jorn Lotsch |
| OPI | 2.11.2 | Open Perimetry Interface | Andrew Turpin |
| opinAr | 1.0.0 | Argentina's Public Opinion Toolbox | Juan Pablo Ruiz Nicolini |
| opitools | 1.8.0 | Analyzing the Opinions in a Big Text Document | Monsuru Adepeju |
| Opportunistic | 1.2 | Routing Distribution, Broadcasts, Transmissions and Receptions
in an Opportunistic Network | Christian E. Galarza |
| oppr | 1.0.4 | Optimal Project Prioritization | Jeffrey O Hanson |
| Opt5PL | 0.1.1 | Optimal Designs for the 5-Parameter Logistic Model | Seung Won Hyun |
| optband | 0.2.2 | 'surv' Object Confidence Bands Optimized by Area | Sam Tracy |
| optbdmaeAT | 1.0.1 | Optimal Block Designs for Two-Colour cDNA Microarray Experiments | Dibaba Bayisa Gemechu |
| optbin | 1.3 | Optimal Binning of Data | Greg Kreider |
| optBiomarker | 1.0-28 | Estimation of Optimal Number of Biomarkers for Two-Group
Microarray Based Classifications at a Given Error Tolerance
Level for Various Classification Rules | Mizanur Khondoker |
| OptCirClust | 0.0.4 | Circular, Periodic, or Framed Data Clustering: Fast, Optimal,
and Reproducible | Joe Song |
| optDesignSlopeInt | 1.1.1 | Optimal Designs for Estimating the Slope Divided by the
Intercept | Adam Kapelner |
| optedr | 2.0.0 | Calculating Optimal and D-Augmented Designs | Carlos de la Calle-Arroyo |
| optextras | 2019-12.4 | Tools to Support Optimization Possibly with Bounds and Masks | John C Nash |
| OptGS | 1.2 | Near-Optimal Group-Sequential Designs for Continuous Outcomes | James Wason |
| OptHedging | 1.0 | Estimation of value and hedging strategy of call and put
options. | Bruno Remillard |
| OptHoldoutSize | 0.1.0.0 | Estimation of Optimal Size for a Holdout Set for Updating a
Predictive Score | James Liley |
| optic | 1.0.1 | Simulation Tool for Causal Inference Using Longitudinal Data | Pedro Nascimento de Lima |
| optical | 1.7.1 | Optimal Item Calibration | Mahmood Ul Hassan |
| opticskxi | 0.1 | OPTICS K-Xi Density-Based Clustering | Thomas Charlon |
| opticut | 0.1-2 | Likelihood Based Optimal Partitioning and Indicator Species
Analysis | Peter Solymos |
| optifunset | 1.0 | Set Options if Unset | Nicholas Hamilton |
| optigrab | 0.9.2.1 | Command-Line Parsing for an R World | Christopher Brown |
| optim.functions | 0.1 | Standard Benchmark Optimization Functions | Thomas Torsney-Weir |
| OptimalCutpoints | 1.1-5 | Computing Optimal Cutpoints in Diagnostic Tests | Monica Lopez Raton |
| OptimalDesign | 1.0.1 | A Toolbox for Computing Efficient Designs of Experiments | Lenka Filova |
| OptimalGoldstandardDesigns | 1.0.1 | Design Parameter Optimization for Gold-Standard Non-Inferiority
Trials | Jan Meis |
| optimall | 0.1.5 | Allocate Samples Among Strata | Jasper Yang |
| OptimalRerandExpDesigns | 1.1 | Optimal Rerandomization Experimental Designs | Adam Kapelner |
| OptimalSurrogate | 1.0 | Model Free Approach to Quantifying Surrogacy | Layla Parast |
| optimalThreshold | 1.0 | Bayesian Methods for Optimal Threshold Estimation | Yoann Blangero |
| OptimalTiming | 0.1.0 | Optimal Timing Identification | Xiao Lin |
| OptimaRegion | 1.2 | Confidence Regions for Optima of Response Surfaces | Enrique del Castillo |
| optimbase | 1.0-10 | R Port of the 'Scilab' Optimbase Module | Sebastien Bihorel |
| optimCheck | 1.0 | Graphical and Numerical Checks for Mode-Finding Routines | Martin Lysy |
| optimg | 0.1.2 | General-Purpose Gradient-Based Optimization | Vithor Rosa Franco |
| optimization | 1.0-9 | Flexible Optimization of Complex Loss Functions with State and
Parameter Space Constraints | Kai Husmann |
| optimizeR | 1.0.5 | Unified Framework for Numerical Optimizers | Lennart Oelschläger |
| optimLanduse | 1.2.1 | Robust Land-Use Optimization | Kai Husmann |
| OptimModel | 2.0-1 | Perform Nonlinear Regression Using 'optim' as the Optimization
Engine | Steven Novick |
| optimos.prime | 0.1.2 | Optimos Prime Helps Calculate Autoecological Data for Biological
Species | Joaquín Cochero |
| optimParallel | 1.0-2 | Parallel Version of the L-BFGS-B Optimization Method | Florian Gerber |
| optimsimplex | 1.0-8 | R Port of the 'Scilab' Optimsimplex Module | Sebastien Bihorel |
| optimStrat | 2.4 | Choosing the Sample Strategy | Edgar Bueno |
| optimus | 0.2.0 | Model Based Diagnostics for Multivariate Cluster Analysis | Mitchell Lyons |
| optimx | 2023-10.21 | Expanded Replacement and Extension of the 'optim' Function | John C Nash |
| optional | 2.0.1 | Optional Types and Pattern Matching | Antoine Champion |
| OptionPricing | 0.1.2 | Option Pricing with Efficient Simulation Algorithms | Wolfgang Hormann |
| options | 0.1.0 | Simple, Consistent Package Options | Doug Kelkhoff |
| optionstrat | 1.4.1 | Utilizes the Black-Scholes Option Pricing Model to Perform
Strategic Option Analysis and Plot Option Strategies | John T. Buynak |
| OptiSembleForecasting | 0.1.0 | Optimization Based Ensemble Forecasting Using MCS Algorithm | Dr. Md Yeasin |
| optiSolve | 1.0 | Linear, Quadratic, and Rational Optimization | Robin Wellmann |
| optistock | 0.0.2 | Determine Optimum Stocking Times Used in Fishery Enhancements | Paul Frater |
| OptM | 0.1.6 | Estimating the Optimal Number of Migration Edges from 'Treemix' | Robert Fitak |
| optmatch | 0.10.7 | Functions for Optimal Matching | Josh Errickson |
| optparse | 1.7.4 | Command Line Option Parser | Trevor L Davis |
| optpart | 3.0-3 | Optimal Partitioning of Similarity Relations | David W. Roberts |
| optR | 1.2.5 | Optimization Toolbox for Solving Linear Systems | Prakash |
| optrcdmaeAT | 1.0.0 | Optimal Row-Column Designs for Two-Colour cDNA Microarray
Experiments | Dibaba Bayisa Gemechu |
| optrefine | 1.1.0 | Optimally Refine Strata | Katherine Brumberg |
| OPTS | 0.1 | Optimization via Subsampling (OPTS) | Mihai Giurcanu |
| OptSig | 2.2 | Optimal Level of Significance for Regression and Other
Statistical Tests | Jae H. Kim |
| OPTtesting | 1.0.0 | Optimal Testing | Lijia Wang |
| optweight | 0.2.5 | Targeted Stable Balancing Weights Using Optimization | Noah Greifer |
| opusminer | 0.1-1 | OPUS Miner Algorithm for Filtered Top-k Association Discovery | Christoph Bergmeir |
| OralOpioids | 2.0.3 | Retrieving Oral Opioid Information | Ankona Banerjee |
| orbweaver | 0.0.3 | Fast and Efficient Graph Data Structures | Andres Quintero |
| orca | 1.1-2 | Computation of Graphlet Orbit Counts in Sparse Graphs | Tomaz Hocevar |
| orclus | 0.2-6 | Subspace Clustering Based on Arbitrarily Oriented Projected
Cluster Generation | Gero Szepannek |
| ORCME | 2.0.2 | Order Restricted Clustering for Microarray Experiments | Rudradev Sengupta |
| Orcs | 1.2.3 | Omnidirectional R Code Snippets | Florian Detsch |
| orcutt | 2.3 | Estimate Procedure in Case of First Order Autocorrelation | Stefano Spada |
| ordbetareg | 0.7.2 | Ordered Beta Regression Models with 'brms' | Robert Kubinec |
| OrdCD | 1.1.2 | Ordinal Causal Discovery | Yang Ni |
| ordcrm | 1.0.0 | Likelihood-Based Continual Reassessment Method (CRM) Dose
Finding Designs | Emily V. Dressler |
| ordDisp | 2.1.1 | Separating Location and Dispersion in Ordinal Regression Models | Moritz Berger |
| ordering | 0.7.0 | Test, Check, Verify, Investigate the Monotonic Properties of
Vectors | Christopher Brown |
| orderly | 1.4.3 | Lightweight Reproducible Reporting | Rich FitzJohn |
| orders | 0.1.8 | Sampling from k-th Order Statistics of New Families of
Distributions | Carlos Alberto Cardozo Delgado |
| orderstats | 0.1.0 | Efficiently Generates Random Order Statistic Variables | Christian Sims |
| OrdFacReg | 1.0.6 | Least Squares, Logistic, and Cox-Regression with Ordered
Predictors | Kaspar Rufibach |
| ordgam | 0.9.1 | Additive Model for Ordinal Data using Laplace P-Splines | Philippe Lambert |
| ordiBreadth | 1.0 | Ordinated Diet Breadth | James A. Fordyce |
| ordinal | 2023.12-4 | Regression Models for Ordinal Data | Rune Haubo Bojesen Christensen |
| ordinalbayes | 0.1.1 | Bayesian Ordinal Regression for High-Dimensional Data | Kellie J. Archer |
| ordinalCont | 2.0.2 | Ordinal Regression Analysis for Continuous Scales | Maurizio Manuguerra |
| ordinalForest | 2.4-3 | Ordinal Forests: Prediction and Variable Ranking with Ordinal
Target Variables | Roman Hornung |
| ordinalgmifs | 1.0.8 | Ordinal Regression for High-Dimensional Data | Kellie J. Archer |
| ordinalLBM | 1.0 | Co-Clustering of Ordinal Data via Latent Continuous Random
Variables | Marco Corneli |
| ordinalNet | 2.12 | Penalized Ordinal Regression | Michael Wurm |
| ordinalpattern | 0.2.3 | Tests Based on Ordinal Patterns | Alexander Duerre |
| ordinalRR | 1.1 | Analysis of Repeatability and Reproducibility Studies with
Ordinal Measurements | Ken Ryan |
| OrdMonReg | 1.0.3 | Compute least squares estimates of one bounded or two ordered
isotonic regression curves | Kaspar Rufibach |
| OrdNor | 2.2.3 | Concurrent Generation of Ordinal and Normal Data with Given
Correlation Matrix and Marginal Distributions | Ran Gao |
| ordPens | 1.1.0 | Selection, Fusion, Smoothing and Principal Components Analysis
for Ordinal Variables | Aisouda Hoshiyar |
| ordr | 0.1.1 | A 'tidyverse' Extension for Ordinations and Biplots | Jason Cory Brunson |
| ore | 1.7.4.1 | An R Interface to the Onigmo Regular Expression Library | Jon Clayden |
| oreo | 1.0 | Large Amplitude Oscillatory Shear (LAOS) | Serena Berretta |
| orf | 0.1.4 | Ordered Random Forests | Gabriel Okasa |
| ORFID | 1.0.2 | Manage and Summarize Data from Oregon RFID ORMR and ORSR Antenna
Readers | Annika Putt |
| org | 2022.11.23 | Organising Projects | Richard Aubrey White |
| organizr | 0.1.0 | Shortcuts for File Creation with Informative Prefixes | Johannes Brachem |
| OrgMassSpecR | 0.5-3 | Organic Mass Spectrometry | Nathan Dodder |
| orgR | 0.9.0 | Analyse Text Files Created by Emacs' Org mode | Yi Tang |
| orgutils | 0.5-0 | Helper Functions for Org Files | Enrico Schumann |
| ORIClust | 1.0-2 | Order-Restricted Information Criterion-Based Clustering
Algorithm | Tianqing Liu |
| orientlib | 0.10.5 | Support for Orientation Data | Duncan Murdoch |
| origami | 1.0.7 | Generalized Framework for Cross-Validation | Jeremy Coyle |
| origin | 1.1.1 | Explicitly Qualifying Namespaces by Automatically Adding 'pkg::'
to Functions | Matthias Nistler |
| ORION | 1.0.3 | Ordinal Relations | HA Kestler |
| ORKM | 0.7.0.0 | The Online Regularized K-Means Clustering Algorithm | Guangbao Guo |
| orloca | 5.6 | Operations Research LOCational Analysis Models | Manuel Munoz-Marquez |
| orloca.es | 4.9 | Spanish version of orloca package. Modelos de localizacion en
investigacion operativa | Manuel Munoz-Marquez |
| ormBigData | 0.0.1 | Fitting Semiparametric Cumulative Probability Models for Big
Data | Chun Li |
| ormPlot | 0.3.6 | Advanced Plotting of Ordinal Regression Models | Richard Meitern |
| oro.dicom | 0.5.3 | Rigorous - DICOM Input / Output | Brandon Whitcher |
| oro.nifti | 0.11.4 | Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output | Brandon Whitcher |
| oro.pet | 0.2.7 | Rigorous - Positron Emission Tomography | Brandon Whitcher |
| orsifronts | 0.2.0 | Southern Ocean Frontal Distributions (Orsi) | Michael D. Sumner |
| orsk | 1.0-8 | Converting Odds Ratio to Relative Risk in Cohort Studies with
Partial Data Information | Zhu Wang |
| orthoDr | 0.6.8 | Semi-Parametric Dimension Reduction Models Using Orthogonality
Constrained Optimization | Ruoqing Zhu |
| orthogonalsplinebasis | 0.1.7 | Orthogonal B-Spline Basis Functions | Andrew Redd |
| OrthoPanels | 1.2-4 | Dynamic Panel Models with Orthogonal Reparameterization of Fixed
Effects | Mark Pickup |
| orthopolynom | 1.0-6.1 | Collection of Functions for Orthogonal and Orthonormal
Polynomials | Frederick Novomestky |
| ORTSC | 1.0.0 | Connects to Google Cloud API for Label Detection | Mohamed Soudy |
| oRus | 1.0.0 | Operational Research User Stories | Melina Vidoni |
| OryzaProbe | 0.1.0 | Rice Microarray Probe ID Conversion, from Probe ID to RAP-DB ID | Youming Liu |
| osc | 1.0.5 | Orthodromic Spatial Clustering | Steffen Kriewald |
| oscar | 1.2.1 | Optimal Subset Cardinality Regression (OSCAR) Models Using the
L0-Pseudonorm | Teemu Daniel Laajala |
| OscillatorGenerator | 0.1.0 | Generation of Customizable, Discretized Time Series of
Oscillating Species | Arne Schoch |
| OSCV | 1.0 | One-Sided Cross-Validation | Olga Savchuk |
| osd | 0.1 | Orthogonal Signal Deconvolution for Spectra Deconvolution in
GC-MS and GCxGC-MS Data | Xavier Domingo-Almenara |
| osdatahub | 0.2.0 | Easier Interaction with the Ordnance Survey Data Hub | Chris Jochem |
| osDesign | 1.8 | Design, Planning and Analysis of Observational Studies | Sebastien Haneuse |
| OSDR | 1.1.4 | Finds an Optimal System of Distinct Representatives | Massimo Cannas |
| OSFD | 1.0 | Output Space-Filling Design | Shangkun Wang |
| osfr | 0.2.9 | Interface to the 'Open Science Framework' ('OSF') | Aaron Wolen |
| oshka | 0.1.2 | Recursive Quoted Language Expansion | Brodie Gaslam |
| oskeyring | 0.1.6 | Raw System Credential Store Access from R | Gábor Csárdi |
| OSLdecomposition | 1.0.0 | Signal Component Analysis for Optically Stimulated Luminescence | Dirk Mittelstraß |
| osmclass | 0.1.3 | Classify Open Street Map Features | Sebastian Krantz |
| osmdata | 0.2.5 | Import 'OpenStreetMap' Data as Simple Features or Spatial
Objects | Mark Padgham |
| osmextract | 0.5.0 | Download and Import Open Street Map Data Extracts | Andrea Gilardi |
| OSMscale | 0.5.20 | Add a Scale Bar to 'OpenStreetMap' Plots | Berry Boessenkool |
| OSNMTF | 0.1.0 | Orthogonal Sparse Non-Negative Matrix Tri-Factorization | Xiaoyao Yin |
| osqp | 0.6.3.2 | Quadratic Programming Solver using the 'OSQP' Library | Balasubramanian Narasimhan |
| osrm | 4.1.1 | Interface Between R and the OpenStreetMap-Based Routing Service
OSRM | Timothée Giraud |
| osrmr | 0.1.36 | Wrapper for the 'OSRM' API | Adrian Staempfli |
| OssaNMA | 0.1.2 | Optimal Sample Size and Allocation with a Network Meta-Analysis | Fangshu Ye |
| OSsurvival | 1.0 | Assessing Surrogacy with a Censored Outcome | Layla Parast |
| Ostats | 0.2.0 | O-Stats, or Pairwise Community-Level Niche Overlap Statistics | Quentin D. Read |
| OSTE | 1.0 | Optimal Survival Trees Ensemble | Naz Gul |
| otargen | 1.1.1 | Access Open Target Genetics | Amir Feizi |
| OTclust | 1.0.6 | Mean Partition, Uncertainty Assessment, Cluster Validation and
Visualization Selection for Cluster Analysis | Lixiang Zhang |
| OTE | 1.0.1 | Optimal Trees Ensembles for Regression, Classification and Class
Membership Probability Estimation | Zardad Khan |
| otinference | 0.1.0 | Inference for Optimal Transport | Max Sommerfeld |
| otp | 0.1.1 | One Time Password Generation and Verification | Randy Lai |
| otpr | 0.5.1 | An R Wrapper for the 'OpenTripPlanner' REST API | Marcus Young |
| OTrecod | 0.1.2 | Data Fusion using Optimal Transportation Theory | Gregory Guernec |
| otrimle | 2.0 | Robust Model-Based Clustering | Pietro Coretto |
| otrKM | 0.2.1 | Optimal Treatment Regimes in Survival Contexts with
Kaplan-Meier-Like Estimators | Junwen Xia |
| OTRselect | 1.2 | Variable Selection for Optimal Treatment Decision | Shannon T. Holloway |
| otsad | 0.2.0 | Online Time Series Anomaly Detectors | Alaiñe Iturria |
| otsfeatures | 1.0.0 | Ordinal Time Series Analysis | Angel Lopez-Oriona |
| ottr | 1.5.0 | An R Autograding Extension for Otter-Grader | Christopher Pyles |
| ottrpal | 1.2.1 | Companion Tools for Open-Source Tools for Training Resources
(OTTR) | Candace Savonen |
| otuSummary | 0.1.2 | Summarizing OTU Table Regarding the Composition, Abundance and
Beta Diversity of Abundant and Rare Biospheres | Sizhong Yang |
| OTUtable | 1.1.2 | North Temperate Lakes - Microbial Observatory 16S Time Series
Data and Functions | Alexandra Linz |
| ouch | 2.19 | Ornstein-Uhlenbeck Models for Phylogenetic Comparative
Hypotheses | Aaron A. King |
| outbreaker2 | 1.1.3 | Bayesian Reconstruction of Disease Outbreaks by Combining
Epidemiologic and Genomic Data | Finlay Campbell |
| outbreaks | 1.9.0 | A Collection of Disease Outbreak Data | Finlay Campbell |
| outcomerate | 1.0.1 | AAPOR Survey Outcome Rates | Rafael Pilliard Hellwig |
| outForest | 1.0.1 | Multivariate Outlier Detection and Replacement | Michael Mayer |
| outlierensembles | 0.1.0 | A Collection of Outlier Ensemble Algorithms | Sevvandi Kandanaarachchi |
| outliers | 0.15 | Tests for Outliers | Lukasz Komsta |
| OutliersO3 | 0.6.3 | Draws Overview of Outliers (O3) Plots | Antony Unwin |
| outliertree | 1.9.0 | Explainable Outlier Detection Through Decision Tree Conditioning | David Cortes |
| outreg | 0.2.2 | Regression Table for Publication | Kota Mori |
| OUwie | 2.10 | Analysis of Evolutionary Rates in an OU Framework | Jeremy Beaulieu |
| overdisp | 0.1.2 | Overdispersion in Count Data Multiple Regression Analysis | Rafael Freitas Souza |
| overlap | 0.3.9 | Estimates of Coefficient of Overlapping for Animal Activity
Patterns | Liz A.D. Campbell |
| overlapping | 2.1 | Estimation of Overlapping in Empirical Distributions | Massimiliano Pastore |
| overlapptest | 1.3 | Test Overlapping of Polygons Against Random Rotation | Marcelino de la Cruz |
| overture | 0.4-0 | Tools for Writing MCMC | Kurtis Shuler |
| overviewR | 0.0.13 | Easily Extracting Information About Your Data | Cosima Meyer |
| OVL.CI | 0.1.0 | Inference on the Overlap Coefficient: The Binormal Approach and
Alternatives | Alba M. Franco-Pereira |
| OVtool | 1.0.3 | Omitted Variable Tool | Lane Burgette |
| owd | 1.0.6 | Open Working Directory | Benjamin G. Feakins |
| owdbr | 1.0.1.1 | Open Welfare Data Brazil | Joao Pedro Oliveira dos Santos |
| OWEA | 0.1.2 | Optimal Weight Exchange Algorithm for Optimal Designs for Three
Models | Shuai Hao |
| OwenQ | 1.0.7 | Owen Q-Function | Stéphane Laurent |
| owidR | 1.4.2 | Import Data from Our World in Data | Piers York |
| owmr | 0.8.2 | OpenWeatherMap API Wrapper | Stefan Kuethe |
| ows4R | 0.3-6 | Interface to OGC Web-Services (OWS) | Emmanuel Blondel |
| ox | 0.1.0 | Shorthand if-Else | Dawid Kałędkowski |
| oxcAAR | 1.1.1 | Interface to 'OxCal' Radiocarbon Calibration | Hinz Martin |
| OxyBS | 1.5 | Processing of Oxy-Bisulfite Microarray Data | E. Andres Houseman |
| oysteR | 0.1.1 | Scans R Projects for Vulnerable Third Party Dependencies | Colin Gillespie |
| oz | 1.0-22 | Plot the Australian Coastline and States | Kurt Hornik |
| ozmaps | 0.4.5 | Australia Maps | Michael Sumner |
| p3state.msm | 1.3.2 | Analyzing Survival Data from an Illness-Death Model | Luis Meira-Machado |
| pa | 1.2-4 | Performance Attribution for Equity Portfolios | Yang Lu |
| PAC | 1.1.4 | Partition-Assisted Clustering and Multiple Alignments of
Networks | Ye Henry Li |
| pack | 0.1-1 | Convert values to/from raw vectors | Josh Ulrich |
| packageDiff | 0.1 | Compare R Package Differences | Cole Beck |
| packagefinder | 0.3.5 | Comfortable Search for R Packages on CRAN, Either Directly from
the R Console or with an R Studio Add-in | Joachim Zuckarelli |
| packagepal | 0.1.0 | Guidelines and Checklists for Building CRAN-Worthy Packages | Lee Durbin |
| packager | 1.15.2 | Create, Build and Maintain Packages | Andreas Dominik Cullmann |
| packageRank | 0.8.3 | Computation and Visualization of Package Download Counts and
Percentiles | Peter Li |
| packcircles | 0.3.6 | Circle Packing | Michael Bedward |
| packDAMipd | 1.1.0 | Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data | Sheeja Manchira Krishnan |
| packer | 0.1.3 | An Opinionated Framework for Using 'JavaScript' | John Coene |
| packHV | 2.2 | A few Useful Functions for Statisticians | Hugo Varet |
| packMBPLSDA | 0.9.0 | Multi-Block Partial Least Squares Discriminant Analysis | Marion Brandolini-Bunlon |
| packrat | 0.9.2 | A Dependency Management System for Projects and their R Package
Dependencies | Aron Atkins |
| PACLasso | 1.0.0 | Penalized and Constrained Lasso Optimization | Courtney Paulson |
| pacman | 0.5.1 | Package Management Tool | Tyler Rinker |
| paco | 0.4.2 | Procrustes Application to Cophylogenetic Analysis | Matthew Hutchinson |
| pacotest | 0.4.2 | Testing for Partial Copulas and the Simplifying Assumption in
Vine Copulas | Malte S. Kurz |
| pacs | 0.5.1 | Supplementary Tools for R Packages Developers | Maciej Nasinski |
| PACVr | 1.0.11 | Plastome Assembly Coverage Visualization | Michael Gruenstaeudl |
| Pade | 1.0.6 | Padé Approximant Coefficients | Avraham Adler |
| padr | 0.6.2 | Quickly Get Datetime Data Ready for Analysis | Edwin Thoen |
| pafdR | 1.0 | Book Companion for Processing and Analyzing Financial Data with
R | Marcelo Perlin |
| PAFit | 1.2.10 | Generative Mechanism Estimation in Temporal Complex Networks | Thong Pham |
| pafr | 0.0.2 | Read, Manipulate and Visualize 'Pairwise mApping Format' Data | David Winter |
| pagedown | 0.20 | Paginate the HTML Output of R Markdown with CSS for Print | Yihui Xie |
| pagemap | 0.1.3 | Create Mini Map for Web Pages | Wei Su |
| pagenum | 1.2 | Put Page Numbers on Graphics | Kevin Wright |
| pageviews | 0.6.0 | An API Client for Wikimedia Traffic Data | Os Keyes |
| PAGFL | 1.0.1 | Joint Estimation and Identification of Latent Groups in Panel
Data Models | Paul Haimerl |
| pagoda2 | 1.0.12 | Single Cell Analysis and Differential Expression | Evan Biederstedt |
| pagoo | 0.3.17 | Analyze Bacterial Pangenomes in R with 'Pagoo' | Ignacio Ferres |
| PAGWAS | 2.0 | Pathway Analysis Methods for Genomewide Association Data | Marina Evangelou |
| PAICE | 1.0.1 | Phylogeographic Analysis of Island Colonization Events | Alberto J. Coello |
| painbow | 1.0.1 | Use XKCD's "Painbow" Colormap in ggplot2 | Steve Haroz |
| painter | 0.1.0 | Creation and Manipulation of Color Palettes | Brody Sandel |
| paintingr | 0.1.0 | Painting Palettes Generator | Dean Li |
| paintmap | 1.0 | Plotting Paintmaps | Daniel Greene |
| PairedData | 1.1.1 | Paired Data Analysis | Stephane Champely |
| pairsD3 | 0.1.3 | D3 Scatterplot Matrices | Garth Tarr |
| PairViz | 1.3.6 | Visualization using Graph Traversal | Catherine Hurley |
| pairwise | 0.6.1-0 | Rasch Model Parameters by Pairwise Algorithm | Joerg-Henrik Heine |
| pairwiseCI | 0.1-27 | Confidence Intervals for Two Sample Comparisons | Frank Schaarschmidt |
| pak | 0.7.2 | Another Approach to Package Installation | Gábor Csárdi |
| PakPC2017 | 1.0.0 | Pakistan Population Census 2017 | Muhammad Yaseen |
| PakPC2023 | 0.1.0 | Pakistan Population Census 2023 | Muhammad Yaseen |
| PakPMICS2014Ch | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2014 Child
Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2014HH | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2014 Household
Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2014HL | 0.1.1 | Multiple Indicator Cluster Survey (MICS) 2014 Household Listing
Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2014Wm | 0.1.1 | Multiple Indicator Cluster Survey (MICS) 2014 Women
Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2018 | 1.0.0 | Multiple Indicator Cluster Survey (MICS) 2017-18 Data for
Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2018bh | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History
of Children Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2018fs | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age
5-17 Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2018hh | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2017-18 Household
Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2018mm | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal
Mortality Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| PakPMICS2018mn | 0.1.0 | Multiple Indicator Cluster Survey (MICS) 2017-18 Men
Questionnaire Data for Punjab, Pakistan | Muhammad Yaseen |
| palaeoSig | 2.1-3 | Significance Tests for Palaeoenvironmental Reconstructions | Richard Telford |
| palaeoverse | 1.2.1 | Prepare and Explore Data for Palaeobiological Analyses | Lewis A. Jones |
| palasso | 0.0.9 | Paired Lasso Regression | Armin Rauschenberger |
| pald | 0.0.3 | Partitioned Local Depth for Community Structure in Data | Lucy D'Agostino McGowan |
| paleobioDB | 1.0.0 | Download and Process Data from the Paleobiology Database | Adrián Castro Insua |
| paleobuddy | 1.0.0 | Simulating Diversification Dynamics | Bruno do Rosario Petrucci |
| paleoDiv | 0.2.2 | Extracting and Visualizing Paleobiodiversity | Darius Nau |
| paleomorph | 0.1.4 | Geometric Morphometric Tools for Paleobiology | Tim Lucas |
| paleotree | 3.4.5 | Paleontological and Phylogenetic Analyses of Evolution | David W. Bapst |
| paleoTS | 0.5.3 | Analyze Paleontological Time-Series | Gene Hunt |
| palette | 0.0.2 | Color Scheme Helpers | Christopher T. Kenny |
| paletteer | 1.6.0 | Comprehensive Collection of Color Palettes | Emil Hvitfeldt |
| paletteknife | 0.4.2 | Create Colour Scales and Legend from Continuous or Categorical
Vectors | John Hobbs |
| palettes | 0.2.0 | Methods for Colour Vectors and Colour Palettes | Michael McCarthy |
| palettesForR | 0.1.2 | GPL Palettes Copied from 'Gimp' and 'Inkscape' | Francois Rebaudo |
| palettetown | 0.1.1 | Use Pokemon Inspired Colour Palettes | Tim Lucas |
| palinsol | 1.0 | Insolation for Palaeoclimate Studies | Michel Crucifix |
| palm | 1.1.5 | Fitting Point Process Models via the Palm Likelihood | Ben Stevenson |
| palmerpenguins | 0.1.1 | Palmer Archipelago (Antarctica) Penguin Data | Allison Horst |
| PaLMr | 0.2.0 | Interface for 'Google Pathways Language Model 2 (PaLM 2)' | Li Yuan |
| palmtree | 0.9-1 | Partially Additive (Generalized) Linear Model Trees | Heidi Seibold |
| palr | 0.4.0 | Colour Palettes for Data | Michael D. Sumner |
| pals | 1.8 | Color Palettes, Colormaps, and Tools to Evaluate Them | Kevin Wright |
| PamBinaries | 1.8.0 | Read and Process 'Pamguard' Binary Data | Taiki Sakai |
| PAmeasures | 0.1.0 | Prediction and Accuracy Measures for Nonlinear Models and for
Right-Censored Time-to-Event Data | Xiaoyan Wang |
| PAMhm | 0.1.2 | Generate Heatmaps Based on Partitioning Around Medoids (PAM) | Vidal Fey |
| pamm | 1.122 | Power Analysis for Random Effects in Mixed Models | Julien Martin |
| PAMmisc | 1.11.6 | Miscellaneous Functions for Passive Acoustic Analysis | Taiki Sakai |
| pammtools | 0.5.93 | Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis | Andreas Bender |
| PAMpal | 1.0.0 | Load and Process Passive Acoustic Data | Taiki Sakai |
| pampe | 1.1.2 | Implementation of the Panel Data Approach Method for Program
Evaluation | Ainhoa Vega-Bayo |
| pamr | 1.56.1 | Pam: Prediction Analysis for Microarrays | Rob Tibshirani |
| PAMscapes | 0.5.3 | Tools for Summarising and Analysing Soundscape Data | Taiki Sakai |
| pan | 1.9 | Multiple Imputation for Multivariate Panel or Clustered Data | Jing hua Zhao |
| PANACEA | 1.0.1 | Personalized Network-Based Anti-Cancer Therapy Evaluation | Ege Ulgen |
| pAnalysis | 2.0 | Benchmarking and Rescaling R2 using Noise Percentile Analysis | Joseph G Kreke |
| PanCanVarSel | 0.0.3 | Pan-Cancer Variable Selection | Arnab Maity |
| pander | 0.6.5 | An R 'Pandoc' Writer | Gergely Daróczi |
| pandoc | 0.2.0 | Manage and Run Universal Converter 'Pandoc' from 'R' | Christophe Dervieux |
| pandocfilters | 0.1-6 | Pandoc Filters for R | Florian Schwendinger |
| Pandora | 24.2.0 | Retrieve Data using the API of the 'Pandora' Data Platform | Jan Abel |
| panelaggregation | 0.1.1 | Aggregate Longitudinal Survey Data | Matthias Bannert |
| PanelCount | 2.0.1 | Random Effects and/or Sample Selection Models for Panel Count
Data | Jing Peng |
| panelhetero | 1.0.1 | Panel Data Analysis with Heterogeneous Dynamics | Takahide Yanagi |
| PanelMatch | 2.0.1 | Matching Methods for Causal Inference with Time-Series
Cross-Sectional Data | In Song Kim |
| panelPomp | 1.1 | Inference for Panel Partially Observed Markov Processes | Carles Breto |
| panelr | 0.7.8 | Regression Models and Utilities for Repeated Measures and Panel
Data | Jacob A. Long |
| panelsummary | 0.1.2.1 | Create Publication-Ready Regression Tables with Panels | Michael Topper |
| panelSUR | 0.1.0 | Two-Way Error Component SUR Systems Estimation on Unbalanced
Panel Data | Laura Barbieri |
| panelvar | 0.5.5 | Panel Vector Autoregression | Robert Ferstl |
| panelView | 1.1.17 | Visualizing Panel Data | Yiqing Xu |
| panelWranglR | 1.2.13 | Panel Data Wrangling Tools | Juraj Szitás |
| pangaear | 1.1.0 | Client for the 'Pangaea' Database | Scott Chamberlain |
| PanJen | 1.6 | A Semi-Parametric Test for Specifying Functional Form | Cathrine Ulla Jensen |
| PANPRSnext | 1.2.0 | Building PRS Models Based on Summary Statistics of GWAs | Katherine Luo |
| PantaRhei | 0.1.2 | Plots Sankey Diagrams | Patrick Bogaart |
| papaja | 0.1.2 | Prepare American Psychological Association Journal Articles with
R Markdown | Frederik Aust |
| papci | 0.1.0 | Prevalence Adjusted PPV Confidence Interval | Cui Guo |
| papeR | 1.0-5 | A Toolbox for Writing Pretty Papers and Reports | Benjamin Hofner |
| paperplanes | 0.0.1.9 | Distance Recordings from a Paper Plane Folding/Flying Experiment | Andreas Leha |
| parabar | 1.1.1 | Progress Bar for Parallel Tasks | Mihai Constantin |
| parade | 0.1 | Pen's Income Parades | Marek Hlavac |
| paradox | 0.11.1 | Define and Work with Parameter Spaces for Complex Algorithms | Michel Lang |
| parallelDist | 0.2.6 | Parallel Distance Matrix Computation using Multiple Threads | Alexander Eckert |
| ParallelLogger | 3.3.0 | Support for Parallel Computation, Logging, and Function
Automation | Martijn Schuemie |
| parallelly | 1.37.1 | Enhancing the 'parallel' Package | Henrik Bengtsson |
| parallelMap | 1.5.1 | Unified Interface to Parallelization Back-Ends | Bernd Bischl |
| parallelMCMCcombine | 2.0 | Combining Subset MCMC Samples to Estimate a Posterior Density | Erin Conlon |
| parallelpam | 1.4 | Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data | Juan Domingo |
| ParallelPC | 1.2 | Paralellised Versions of Constraint Based Causal Discovery
Algorithms | Thuc Duy Le |
| parallelPlot | 0.3.1 | 'Htmlwidget' for a Parallel Coordinates Plot | David Chazalviel |
| param2moment | 0.1.1 | Raw, Central and Standardized Moments of Parametric
Distributions | Tingting Zhan |
| parameters | 0.21.6 | Processing of Model Parameters | Daniel Lüdecke |
| paramGUI | 2.2.0 | A Shiny GUI for some Parameter Estimation Examples | Joris Snellenburg |
| ParamHelpers | 1.14.1 | Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning | Jakob Richter |
| paramhetero | 1.0.0 | Numeric and Visual Comparisons of Heterogeneity in Parametric
Models | Travis Loux |
| paramlink | 1.1-5 | Parametric Linkage and Other Pedigree Analysis in R | Magnus Dehli Vigeland |
| paramlink2 | 1.0.4 | Parametric Linkage Analysis | Magnus Dehli Vigeland |
| params | 0.7.3 | Simplify Parameters | Sahil Seth |
| paramsim | 0.1.0 | Parameterized Simulation | Daniel James |
| paramtest | 0.1.0 | Run a Function Iteratively While Varying Parameters | Jeffrey Hughes |
| paran | 1.5.2 | Horn's Test of Principal Components/Factors | Alexis Dinno |
| ParBayesianOptimization | 1.2.6 | Parallel Bayesian Optimization of Hyperparameters | Samuel Wilson |
| parcats | 0.0.5 | Interactive Parallel Categories Diagrams for 'easyalluvial' | Bjoern Koneswarakantha |
| parcr | 0.5.1 | Construct Parsers for Structured Text Files | Douwe Molenaar |
| ParDNAcopy | 2.0 | Parallel implementation of the "segment" function of package
"DNAcopy" | Guoli Sun |
| PaRe | 0.1.12 | A Way to Perform Code Review or QA on Other Packages | Maarten van Kessel |
| Pareto | 2.4.5 | The Pareto, Piecewise Pareto and Generalized Pareto Distribution | Ulrich Riegel |
| ParetoPosStable | 1.1 | Computing, Fitting and Validating the PPS Distribution | Antonio Jose Saez-Castillo |
| parfm | 2.7.7 | Parametric Frailty Models | Federico Rotolo |
| parglm | 0.1.7 | Parallel GLM | Benjamin Christoffersen |
| pARI | 1.1.1 | Permutation-Based All-Resolutions Inference Method | Angela Andreella |
| parma | 1.7 | Portfolio Allocation and Risk Management Applications | Alexios Galanos |
| parmigene | 1.1.0 | Parallel Mutual Information Estimation for Gene Network
Reconstruction | Gabriele Sales |
| parmsurvfit | 0.1.0 | Parametric Models for Survival Data | Ashley Jacobson |
| paropt | 0.3.3 | Parameter Optimizing of ODE-Systems | Krämer Konrad |
| parqr | 0.1.0 | Read in Multi-Part Parquet Files | John Waller |
| parquetize | 0.5.7 | Convert Files to Parquet Format | Damien Dotta |
| parsec | 1.2.7 | Partial Orders in Socio-Economics | Alberto Arcagni |
| parsedate | 1.3.1 | Recognize and Parse Dates in Various Formats, Including All ISO
8601 Formats | Gábor Csárdi |
| parsel | 0.3.0 | Parallel Dynamic Web-Scraping Using 'RSelenium' | Till Tietz |
| parsermd | 0.1.3 | Formal Parser and Related Tools for R Markdown Documents | Colin Rundel |
| parseRPDR | 1.1.1 | Parse and Manipulate Research Patient Data Registry ('RPDR')
Text Queries | Marton Kolossvary |
| parSim | 0.1.5 | Parallel Simulation Studies | Sacha Epskamp |
| parsnip | 1.2.1 | A Common API to Modeling and Analysis Functions | Max Kuhn |
| PartCensReg | 1.39 | Estimation and Diagnostics for Partially Linear Censored
Regression Models Based on Heavy-Tailed Distributions | Marcela Nunez Lemus |
| partDSA | 0.9.14 | Partitioning Using Deletion, Substitution, and Addition Moves | Annette Molinaro |
| partialised | 0.1.1 | Partialised Functions | Mizuki Uchida |
| Partiallyoverlapping | 2.0 | Partially Overlapping Samples Tests | Ben Derrick |
| PartialNetwork | 1.0.3 | Estimating Peer Effects Using Partial Network Data | Aristide Houndetoungan |
| particle.swarm.optimisation | 1.0 | Optimisation with Particle Swarm Optimisation | Theo Brunet |
| particles | 0.2.3 | A Graph Based Particle Simulator Based on D3-Force | Thomas Lin Pedersen |
| partition | 0.2.0 | Agglomerative Partitioning Framework for Dimension Reduction | Malcolm Barrett |
| partitionBEFsp | 1.0 | Methods for Calculating the Loreau & Hector 2001 BEF Partition | Adam Clark |
| partitionComparison | 0.2.6 | Implements Measures for the Comparison of Two Partitions | Fabian Ball |
| partitionMetric | 1.1 | Compute a distance metric between two partitions of a set | David Weisman |
| partitions | 1.10-7 | Additive Partitions of Integers | Robin K. S. Hankin |
| partools | 1.1.6 | Tools for the 'Parallel' Package | Norm Matloff |
| partR2 | 0.9.2 | Partitioning R2 in GLMMs | Martin A. Stoffel |
| partsm | 1.1-3 | Periodic Autoregressive Time Series Models | Matthieu Stigler |
| parttime | 0.1.2 | Partial Datetime Handling | Doug Kelkhoff |
| party | 1.3-14 | A Laboratory for Recursive Partytioning | Torsten Hothorn |
| partykit | 1.2-20 | A Toolkit for Recursive Partytioning | Torsten Hothorn |
| parzer | 0.4.1 | Parse Messy Geographic Coordinates | Alban Sagouis |
| PAS | 1.2.5 | Polygenic Analysis System (PAS) | Zhiqiu Hu |
| pasadr | 1.0 | An Implementation of Process-Aware Stealthy Attack
Detection(PASAD) | Donghwan Kim |
| PASenseWear | 1.0 | Summarize Daily Physical Activity from 'SenseWear' Accelerometer
Data | Yukun Zhang |
| pass.lme | 0.9.0 | Power and Sample Size for Linear Mixed Effect Models | Marco Chak Yan YU |
| PASSED | 1.2-2 | Calculate Power and Sample Size for Two Sample Mean Tests | Jinpu Li |
| PAsso | 0.1.10 | Assessing the Partial Association Between Ordinal Variables | Xiaorui (Jeremy) Zhu |
| passport | 0.3.0 | Travel Smoothly Between Country Name and Code Formats | Edward Visel |
| passt | 0.1.3 | Probability Associator Time (PASS-T) | Johannes Titz |
| password | 1.0-0 | Create Random Passwords | Enrico Schumann |
| pastclim | 2.0.0 | Manipulate Time Series of Palaeoclimate Reconstructions | Andrea Manica |
| pasteAsComment | 0.2.1 | 'RStudio' Addin to Paste the Clipboard as a Comment Block or a
'roxygen' Block | Stéphane Laurent |
| pastecs | 1.4.2 | Package for Analysis of Space-Time Ecological Series | Philippe Grosjean |
| PASWR | 1.3 | Probability and Statistics with R | Alan T. Arnholt |
| PASWR2 | 1.0.5 | Probability and Statistics with R, Second Edition | Alan T. Arnholt |
| patchDVI | 1.11.0 | Package to Patch '.dvi' or '.synctex' Files | Duncan Murdoch |
| patchSynctex | 0.1-4 | Communication Between Editor and Viewer for Literate Programs | Emmanuel Charpentier |
| patchwork | 1.2.0 | The Composer of Plots | Thomas Lin Pedersen |
| patentr | 0.1.4 | Access USPTO Bulk Data in Tidy Rectangular Format | Raoul Wadhwa |
| patentsview | 0.3.0 | An R Client to the 'PatentsView' API | Christopher Baker |
| path.chain | 0.2.0 | Concise Structure for Chainable Paths | Krzysztof Joachimiak |
| pathfindR | 2.3.1 | Enrichment Analysis Utilizing Active Subnetworks | Ege Ulgen |
| pathfindR.data | 2.0.0 | Data Package for 'pathfindR' | Ege Ulgen |
| pathling | 6.4.2 | A Library for using 'Pathling' | "Australian e-Health Research Centre, CSIRO" |
| pathlit | 0.1.0 | An SDK for the PathLit Engine | Riasat Ali Istiaque |
| pathmodelfit | 1.0.5 | Path Component Fit Indices for Latent Structural Equation Models | Steven Andrew Culpepper |
| paths | 0.1.1 | An Imputation Approach to Estimating Path-Specific Causal
Effects | Minh Trinh |
| pathviewr | 1.1.7 | Wrangle, Analyze, and Visualize Animal Movement Data | Vikram B. Baliga |
| pathwayTMB | 0.1.3 | Pathway Based Tumor Mutational Burden | Junwei Han |
| PatientProfiles | 0.7.0 | Identify Characteristics of Patients in the OMOP Common Data
Model | Marti Catala |
| patientProfilesVis | 2.0.7 | Visualization of Patient Profiles | Laure Cougnaud |
| patrick | 0.2.0 | Parameterized Unit Testing | Michael Quinn |
| patternator | 0.1.0 | Feature Extraction from Female Brown Anole Lizard Dorsal
Patterns | Seong Hyun Hwang |
| patternize | 0.0.5 | Quantification of Color Pattern Variation | Steven Van Belleghem |
| patternplot | 1.0.0 | Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots
using Patterns, Colors and Images | Chunqiao Luo |
| Patterns | 1.4 | Deciphering Biological Networks with Patterned Heterogeneous
Measurements | Frederic Bertrand |
| pavo | 2.9.0 | Perceptual Analysis, Visualization and Organization of Spectral
Colour Data | Thomas White |
| pawacc | 1.2.3 | Physical Activity with Accelerometers | Marco Geraci |
| paws | 0.5.0 | Amazon Web Services Software Development Kit | Dyfan Jones |
| paws.analytics | 0.5.0 | 'Amazon Web Services' Analytics Services | Dyfan Jones |
| paws.application.integration | 0.5.0 | 'Amazon Web Services' Application Integration Services | Dyfan Jones |
| paws.common | 0.7.2 | Paws Low-Level Amazon Web Services API | Dyfan Jones |
| paws.compute | 0.5.0 | 'Amazon Web Services' Compute Services | Dyfan Jones |
| paws.cost.management | 0.5.0 | 'Amazon Web Services' Cost Management Services | Dyfan Jones |
| paws.customer.engagement | 0.5.0 | 'Amazon Web Services' Customer Engagement Services | Dyfan Jones |
| paws.database | 0.5.0 | 'Amazon Web Services' Database Services | Dyfan Jones |
| paws.developer.tools | 0.5.0 | 'Amazon Web Services' Developer Tools Services | Dyfan Jones |
| paws.end.user.computing | 0.5.0 | 'Amazon Web Services' End User Computing Services | Dyfan Jones |
| paws.machine.learning | 0.5.0 | 'Amazon Web Services' Machine Learning Services | Dyfan Jones |
| paws.management | 0.5.0 | 'Amazon Web Services' Management & Governance Services | Dyfan Jones |
| paws.networking | 0.5.0 | 'Amazon Web Services' Networking & Content Delivery Services | Dyfan Jones |
| paws.security.identity | 0.5.0 | 'Amazon Web Services' Security, Identity, & Compliance Services | Dyfan Jones |
| paws.storage | 0.5.0 | 'Amazon Web Services' Storage Services | Dyfan Jones |
| pawscore | 1.0.3 | Pain Assessment at Withdrawal Speeds (PAWS) | Colin Twomey |
| pbANOVA | 0.1.0 | Parametric Bootstrap for ANOVA Models | Sarah Alver |
| pbapply | 1.7-2 | Adding Progress Bar to '*apply' Functions | Peter Solymos |
| pbatR | 2.2-17 | Pedigree/Family-Based Genetic Association Tests Analysis and
Power | Thomas Hoffmann |
| pbbd | 1.0.0 | Position Balanced and Nearly Position Balanced Block Designs | B N Mandal |
| pbcc | 0.0.4 | Percentile-Based Control Chart | Zsolt T. Kosztyan |
| PBD | 1.4 | Protracted Birth-Death Model of Diversification | Rampal S. Etienne |
| pbdMPI | 0.5-1 | R Interface to MPI for HPC Clusters (Programming with Big Data
Project) | Wei-Chen Chen |
| pbdSLAP | 0.3-5 | Programming with Big Data -- Scalable Linear Algebra Packages | Wei-Chen Chen |
| pbdZMQ | 0.3-11 | Programming with Big Data -- Interface to 'ZeroMQ' | Wei-Chen Chen |
| PBIBD | 1.3 | Partially Balanced Incomplete Block Designs | Kush Sharma |
| PBImisc | 1.0 | A Set of Datasets Used in My Classes or in the Book 'Modele
Liniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych' | Przemyslaw Biecek |
| PBIR | 0.1-0 | Estimating the Probability of Being in Response and Related
Outcomes | Lu Tian |
| pbivnorm | 0.6.0 | Vectorized Bivariate Normal CDF | Brenton Kenkel |
| pbkrtest | 0.5.2 | Parametric Bootstrap, Kenward-Roger and Satterthwaite Based
Methods for Test in Mixed Models | Søren Højsgaard |
| pbm | 1.2.1 | Protein Binding Models | Jonathan Davies |
| pbmcapply | 1.5.1 | Tracking the Progress of Mc*pply with Progress Bar | Kevin kuang |
| PBNPA | 0.0.3 | Permutation Based Non-Parametric Analysis of CRISPR Screen Data | Gaoxiang Jia |
| pbo | 1.3.5 | Probability of Backtest Overfitting | Matt Barry |
| pbr | 0.0.2 | Find a Cold One Near You | Paul Frater |
| pBrackets | 1.0.1 | Plot Brackets | Andreas Schulz |
| pbs | 1.1 | Periodic B Splines | swang1 |
| PBSadmb | 1.1.6 | ADMB for R Using Scripts or GUI | Rowan Haigh |
| PBSddesolve | 1.13.4 | Solver for Delay Differential Equations | Rowan Haigh |
| PBSmapping | 2.73.4 | Mapping Fisheries Data and Spatial Analysis Tools | Rowan Haigh |
| PBSmodelling | 2.69.3 | GUI Tools Made Easy: Interact with Models and Explore Data | Rowan Haigh |
| PBtDesigns | 1.0.0 | Partially Balanced t-Designs (PBtDesigns) | Ashutosh Dalal |
| pbv | 0.5-47 | Probabilities for Bivariate Normal Distribution | Alexander Robitzsch |
| pcadapt | 4.3.5 | Fast Principal Component Analysis for Outlier Detection | Florian Privé |
| PCADSC | 0.8.0 | Tools for Principal Component Analysis-Based Data Structure
Comparisons | Anne H. Petersen |
| pcal | 1.0.0 | Calibration of P-Values for Point Null Hypothesis Testing | Pedro Fonseca |
| pcaL1 | 1.5.7 | L1-Norm PCA Methods | Paul Brooks |
| pcalg | 2.7-11 | Methods for Graphical Models and Causal Inference | Markus Kalisch |
| pCalibrate | 0.2-1 | Bayesian Calibrations of p-Values | Manuela Ott |
| pcalls | 1.0 | Pricing of Different Types of Call | Elia Degiorgi |
| PCAmatchR | 0.3.3 | Match Cases to Controls Based on Genotype Principal Components | Derek W. Brown |
| PCAmixdata | 3.1 | Multivariate Analysis of Mixed Data | Marie Chavent |
| pcaone | 1.0.0 | Randomized Singular Value Decomposition Algorithms with
'RcppEigen' | Zilong Li |
| pcaPP | 2.0-4 | Robust PCA by Projection Pursuit | Valentin Todorov |
| pcatsAPIclientR | 1.1.0 | 'PCATS' API Client | Michal Kouril |
| pccc | 1.0.5 | Pediatric Complex Chronic Conditions | Seth Russell |
| PCDimension | 1.1.13 | Finding the Number of Significant Principal Components | Kevin R. Coombes |
| pcdpca | 0.4 | Dynamic Principal Components for Periodically Correlated
Functional Time Series | Lukasz Kidzinski |
| pcds | 0.1.8 | Proximity Catch Digraphs and Their Applications | Elvan Ceyhan |
| pcds.ugraph | 0.1.1 | Underlying Graphs of Proximity Catch Digraphs and Their
Applications | Elvan Ceyhan |
| pcensmix | 1.2-1 | Model Fitting to Progressively Censored Mixture Data | Lida Fallah |
| pcev | 2.2.2 | Principal Component of Explained Variance | Maxime Turgeon |
| pcFactorStan | 1.5.4 | Stan Models for the Paired Comparison Factor Model | Joshua N. Pritikin |
| PCFAM | 1.0 | Computation of Ancestry Scores with Mixed Families and Unrelated
Individuals | Yi-Hui Zhou |
| pcg | 1.1 | Preconditioned Conjugate Gradient Algorithm for solving Ax=b | B N Mandal |
| pcgen | 0.2.0 | Reconstruction of Causal Networks for Data with Random Genetic
Effects | Pariya Behrouzi |
| PCGII | 1.1.2 | Partial Correlation Graph with Information Incorporation | Hao Wang |
| PCGSE | 0.5.0 | Principal Component Gene Set Enrichment | H. Robert Frost |
| pch | 2.1 | Piecewise Constant Hazard Models for Censored and Truncated Data | Paolo Frumento |
| pchc | 1.2 | Bayesian Network Learning with the PCHC and Related Algorithms | Michail Tsagris |
| PCICt | 0.5-4.4 | Implementation of POSIXct Work-Alike for 365 and 360 Day
Calendars | James Hiebert |
| pcIRT | 0.2.4 | IRT Models for Polytomous and Continuous Item Responses | Christine Hohensinn |
| PCL | 1.0 | Proximal Causal Learning | Andrew Ying |
| pcLasso | 1.2 | Principal Components Lasso | Rob Tibshirani |
| PCLassoReg | 1.0.0 | Group Regression Models for Risk Protein Complex Identification | Wei Liu |
| pcmabc | 1.1.3 | Approximate Bayesian Computations for Phylogenetic Comparative
Methods | Krzysztof Bartoszek |
| PCMBase | 1.2.14 | Simulation and Likelihood Calculation of Phylogenetic
Comparative Models | Venelin Mitov |
| PCMBaseCpp | 0.1.9 | Fast Likelihood Calculation for Phylogenetic Comparative Models | Venelin Mitov |
| PCMRS | 0.1-4 | Model Response Styles in Partial Credit Models | Gunther Schauberger |
| pcnetmeta | 2.8 | Patient-Centered Network Meta-Analysis | Lifeng Lin |
| pco | 1.0.1 | Panel Cointegration Tests | Georgi Marinov |
| PCObw | 0.0.1 | Bandwidth Selector with Penalized Comparison to Overfitting
Criterion | S. Varet |
| pCODE | 0.9.4 | Estimation of an Ordinary Differential Equation Model by
Parameter Cascade Method | Haixu Wang |
| PCovR | 2.7.2 | Principal Covariates Regression | Kristof Meers |
| pcoxtime | 1.0.4 | Penalized Cox Proportional Hazard Model for Time-Dependent
Covariates | Bicko Cygu |
| PCPS | 1.0.7 | Principal Coordinates of Phylogenetic Structure | Vanderlei Julio Debastiani |
| pcr | 1.2.2 | Analyzing Real-Time Quantitative PCR Data | Mahmoud Ahmed |
| PCRA | 1.2 | Companion to Portfolio Construction and Risk Analysis | Doug Martin |
| PCS | 1.3 | Calculate the Probability of Correct Selection (PCS) | Jason Wilson |
| pcse | 1.9.1.1 | Panel-Corrected Standard Error Estimation in R | Delia Bailey |
| PCSinR | 0.1.0 | Parallel Constraint Satisfaction Networks in R | Felix Henninger |
| pcsstools | 0.1.2 | Tools for Regression Using Pre-Computed Summary Statistics | Jack Wolf |
| pcSteiner | 1.0.0.1 | Convenient Tool for Solving the Prize-Collecting Steiner Tree
Problem | Aleksei Krasikov |
| pct | 0.9.9 | Propensity to Cycle Tool | Robin Lovelace |
| pcts | 0.15.7 | Periodically Correlated and Periodically Integrated Time Series | Georgi N. Boshnakov |
| pcutils | 0.2.5 | Some Useful Functions for Statistics and Visualization | Chen Peng |
| pcv | 1.1.0 | Procrustes Cross-Validation | Sergey Kucheryavskiy |
| pda | 1.2.7 | Privacy-Preserving Distributed Algorithms | Jiajie Chen |
| pdc | 1.0.3 | Permutation Distribution Clustering | Andreas M. Brandmaier |
| PDE | 1.4.8 | Extract Tables and Sentences from PDFs with User Interface | Erik Stricker |
| pder | 1.0-2 | Panel Data Econometrics with R | Yves Croissant |
| pdfCluster | 1.0-4 | Cluster Analysis via Nonparametric Density Estimation | Menardi Giovanna |
| PDFEstimator | 4.5 | Multivariate Nonparametric Probability Density Estimator | Jenny Farmer |
| pdfetch | 0.2.9 | Fetch Economic and Financial Time Series Data from Public
Sources | Abiel Reinhart |
| pdfminer | 1.0 | Read Portable Document Format (PDF) Files | Florian Schwendinger |
| pdfsearch | 0.3.0 | Search Tools for PDF Files | Brandon LeBeau |
| pdftables | 0.1 | Programmatic Conversion of PDF Tables | Eric Persson |
| pdftools | 3.4.0 | Text Extraction, Rendering and Converting of PDF Documents | Jeroen Ooms |
| pdi | 0.4.2 | Phenotypic Index Measures for Oak Decline Severity | Jasen Finch |
| pdist | 1.2.1 | Partitioned Distance Function | Jeffrey Wong |
| PDM | 0.1 | Photogrammetric Distances Measurer | J.F. Palomeque-Gonzalez |
| PDMIF | 0.1.0 | Fits Heterogeneous Panel Data Models | Tomohiro Ando |
| pdmod | 1.0.1 | Proximal/Distal Modeling Framework for Pavlovian Conditioning
Phenomena | Chloe Bracis |
| PDN | 0.1.0 | Personalized Disease Network | Zhenbang Wang |
| pdp | 0.8.1 | Partial Dependence Plots | Brandon M. Greenwell |
| PdPDB | 2.0.1 | Pattern Discovery in PDB Structures of Metalloproteins | Luca Belmonte |
| pdqr | 0.3.1 | Work with Custom Distribution Functions | Evgeni Chasnovski |
| PDQutils | 0.1.6 | PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fisher
Approximations | Steven E. Pav |
| pdR | 1.9.1 | Threshold Model and Unit Root Tests in Cross-Section and Time
Series Data | Ho Tsung-wu |
| PDSCE | 1.2.1 | Positive Definite Sparse Covariance Estimators | Adam J. Rothman |
| PDShiny | 0.1.0 | 'Probability Distribution Shiny' | Kartikeya Bolar |
| pdSpecEst | 1.2.4 | An Analysis Toolbox for Hermitian Positive Definite Matrices | Joris Chau |
| pdt | 0.0.2 | Permutation Distancing Test | Jan Houtveen |
| PDtoolkit | 1.2.0 | Collection of Tools for PD Rating Model Development and
Validation | Andrija Djurovic |
| PDXpower | 1.0.1 | Time to Event Outcome in Experimental Designs of Pre-Clinical
Studies | Shanpeng Li |
| pdxTrees | 0.4.0 | Data Package of Portland, Oregon Trees | Kelly McConville |
| pdynmc | 0.9.10 | Moment Condition Based Estimation of Linear Dynamic Panel Data
Models | Markus Fritsch |
| peacesciencer | 1.1.0 | Tools and Data for Quantitative Peace Science Research | Steve Miller |
| PEACH | 0.1.1 | Pareto Enrichment Analysis for Combining Heterogeneous Datasets | Jinyan Chan |
| Peacock.test | 1.0 | Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests | Yuanhui Xiao |
| PeakError | 2023.9.4 | Compute the Label Error of Peak Calls | Toby Dylan Hocking |
| peakRAM | 1.0.2 | Monitor the Total and Peak RAM Used by an Expression or Function | Thomas Quinn |
| PeakSegDisk | 2023.11.27 | Disk-Based Constrained Change-Point Detection | Toby Dylan Hocking |
| PeakSegDP | 2024.1.24 | Dynamic Programming Algorithm for Peak Detection in ChIP-Seq
Data | Toby Dylan Hocking |
| PeakSegJoint | 2024.1.24 | Joint Peak Detection in Several ChIP-Seq Samples | Toby Dylan Hocking |
| PeakSegOptimal | 2024.1.24 | Optimal Segmentation Subject to Up-Down Constraints | Toby Dylan Hocking |
| pearson7 | 1.0-3 | Maximum Likelihood Inference for the Pearson VII Distribution
with Shape Parameter 3/2 | John Hughes |
| PearsonDS | 1.3.1 | Pearson Distribution System | Martin Becker |
| PearsonICA | 1.2-5 | Independent Component Analysis using Score Functions from the
Pearson System | Juha Karvanen |
| pec | 2023.04.12 | Prediction Error Curves for Risk Prediction Models in Survival
Analysis | Thomas A. Gerds |
| pecora | 0.1.1 | Permutation Conditional Random Tests | Angela Andreella |
| pedalfast.data | 1.0.1 | PEDALFAST Data | Peter DeWitt |
| pedbp | 1.0.2 | Pediatric Blood Pressure | Peter DeWitt |
| pedbuildr | 0.3.0 | Pedigree Reconstruction | Magnus Dehli Vigeland |
| pedFamilias | 0.2.2 | Import and Export 'Familias' Files | Magnus Dehli Vigeland |
| pedgene | 3.8 | Gene-Level Variant Association Tests for Pedigree Data | Jason Sinnwell |
| pedigree | 1.4.2 | Pedigree Functions | Albart Coster |
| pedigreemm | 0.3-4 | Pedigree-Based Mixed-Effects Models | Ana Ines Vazquez |
| pedigreeTools | 0.2 | Versatile Functions for Working with Pedigrees | Paulino Perez Rodriguez |
| pedMermaid | 1.0.2 | Pedigree Mermaid Syntax | Mohammad Ali Nilforooshan |
| pedmod | 0.2.4 | Pedigree Models | Benjamin Christoffersen |
| pedmut | 0.7.1 | Mutation Models for Pedigree Likelihood Computations | Magnus Dehli Vigeland |
| pedometrics | 0.12.1 | Miscellaneous Pedometric Tools | Alessandro Samuel-Rosa |
| pedprobr | 0.9.3 | Probability Computations on Pedigrees | Magnus Dehli Vigeland |
| pedquant | 0.2.4 | Public Economic Data and Quantitative Analysis | Shichen Xie |
| pedSimulate | 1.4.3 | Pedigree, Genetic Merit, Phenotype, and Genotype Simulation | Mohammad Ali Nilforooshan |
| pedsuite | 1.2.0 | Easy Installation of the 'ped suite' Packages for Pedigree
Analysis | Magnus Dehli Vigeland |
| pedtools | 2.6.0 | Creating and Working with Pedigrees and Marker Data | Magnus Dehli Vigeland |
| peermodels | 0.10.3 | Client-Side R API Wrapper for Peer Models Network Model
Repository | amin adibi |
| PeerPerformance | 2.2.5 | Luck-Corrected Peer Performance Analysis in R | David Ardia |
| pegas | 1.3 | Population and Evolutionary Genetics Analysis System | Emmanuel Paradis |
| PEGroupTesting | 1.0 | Population Proportion Estimation using Group Testing | Qingyang Zhang |
| PEIMAN2 | 0.1.0 | Post-Translational Modification Enrichment, Integration, and
Matching Analysis | Payman Nickchi |
| PEIP | 2.2-5 | Geophysical Inverse Theory and Optimization | Jonathan M. Lees |
| PEkit | 1.0.0.1000 | Partition Exchangeability Toolkit | Ali Amiryousefi |
| pell | 0.1.0 | Data About Historic Pell Grant Distribution in the US | Arafath Hossain |
| PELVIS | 2.0.4 | Probabilistic Sex Estimate using Logistic Regression, Based on
VISual Traits of the Human Os Coxae | Frédéric Santos |
| pema | 0.1.3 | Penalized Meta-Analysis | Caspar J van Lissa |
| pempi | 1.0.0 | Proportion Estimation with Marginal Proxy Information | Stéphane Guerrier |
| pems.utils | 0.2.29.1 | Portable Emissions (and Other Mobile) Measurement System
Utilities | Karl Ropkins |
| pemultinom | 0.1.0 | L1-Penalized Multinomial Regression with Statistical Inference | Ye Tian |
| penAFT | 0.3.0 | Fit the Regularized Gehan Estimator with Elastic Net and Sparse
Group Lasso Penalties | Aaron J. Molstad |
| penalized | 0.9-52 | L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
in GLMs and in the Cox Model | Jelle Goeman |
| penalizedcdf | 0.1.0 | Estimate a Penalized Linear Model using the CDF Penalty Function | Daniele Cuntrera |
| penalizedclr | 2.0.0 | Integrative Penalized Conditional Logistic Regression | Vera Djordjilovi'c |
| penalizedSVM | 1.1.4 | Feature Selection SVM using Penalty Functions | Frederic Bertrand |
| penaltyLearning | 2024.1.25 | Penalty Learning | Toby Dylan Hocking |
| pencal | 2.2.1 | Penalized Regression Calibration (PRC) for the Dynamic
Prediction of Survival | Mirko Signorelli |
| pencopulaCond | 0.2 | Estimating Non-Simplified Vine Copulas Using Penalized Splines | Christian Schellhase |
| PenCoxFrail | 1.0.1 | Regularization in Cox Frailty Models | Andreas Groll |
| pendensity | 0.2.13 | Density Estimation with a Penalized Mixture Approach | Christian Schellhase |
| penfa | 0.1.1 | Single- And Multiple-Group Penalized Factor Analysis | Elena Geminiani |
| PenIC | 1.0.0 | Semiparametric Regression Analysis of Interval-Censored Data
using Penalized Splines | Yan Liu |
| penMSM | 0.99 | Estimating Regularized Multi-state Models Using L1 Penalties | Holger Reulen |
| penPHcure | 1.0.2 | Variable Selection in PH Cure Model with Time-Varying Covariates | Alessandro Beretta |
| penppml | 0.2.3 | Penalized Poisson Pseudo Maximum Likelihood Regression | Joao Cruz |
| pense | 2.2.0 | Penalized Elastic Net S/MM-Estimator of Regression | David Kepplinger |
| pensim | 1.3.6 | Simulation of High-Dimensional Data and Parallelized Repeated
Penalized Regression | Levi Waldron |
| pensynth | 0.5.1 | Penalized Synthetic Control Estimation | Erik-Jan van Kesteren |
| peopleanalytics | 0.1.0 | Data Sets for Craig Starbuck's Book, "The Fundamentals of People
Analytics: With Applications in R" | Craig Starbuck |
| peopleanalyticsdata | 0.2.1 | Data Sets for Keith McNulty's Handbook of Regression Modeling in
People Analytics | Keith McNulty |
| PEPBVS | 1.0 | Bayesian Variable Selection using Power-Expected-Posterior Prior | Konstantina Charmpi |
| pepe | 1.2.0 | Data Manipulation | Seyma Kalay |
| peperr | 1.5 | Parallelised Estimation of Prediction Error | Frederic Bertrand |
| peppm | 0.0.1 | Piecewise Exponential Distribution with Random Time Grids | Fabio Demarqui |
| pepr | 0.5.0 | Reading Portable Encapsulated Projects | Nathan Sheffield |
| PepSAVIms | 0.9.1 | PepSAVI-MS Data Analysis | Pritchard David |
| peptider | 0.2.2 | Evaluation of Diversity in Nucleotide Libraries | Eric Hare |
| Peptides | 2.4.6 | Calculate Indices and Theoretical Physicochemical Properties of
Protein Sequences | Daniel Osorio |
| peptoolkit | 0.0.1 | A Toolkit for Using Peptide Sequences in Machine Learning | Josep-Ramon Codina |
| pequod | 0.0-5 | Moderated Regression Package | Alberto Mirisola |
| peramo | 0.1.3 | Permutation Tests for Randomization Model | Duy Nghia Pham |
| perARMA | 1.7 | Periodic Time Series Analysis | Karolina Marek |
| Perc | 0.1.6 | Using Percolation and Conductance to Find Information Flow
Certainty in a Direct Network | Jessica Vandeleest |
| perccalc | 1.0.5 | Estimate Percentiles from an Ordered Categorical Variable | Jorge Cimentada |
| PerFit | 1.4.6 | Person Fit | Jorge N. Tendeiro |
| PerfMeas | 1.2.5 | Performance Measures for Ranking and Classification Tasks | Giorgio Valentini |
| performance | 0.11.0 | Assessment of Regression Models Performance | Daniel Lüdecke |
| PerformanceAnalytics | 2.0.4 | Econometric Tools for Performance and Risk Analysis | Brian G. Peterson |
| performanceEstimation | 1.1.0 | An Infra-Structure for Performance Estimation of Predictive
Models | Luis Torgo |
| pergola | 1.0 | Toolbox for Polyploid Genetic Data | Fabian Grandke |
| peRiodiCS | 0.5.0 | Functions for Generating Periodic Curves | Crt Ahlin |
| PeriodicTable | 0.1.2 | Periodic Table of the Elements | Julien Idé |
| periscope | 1.0.4 | Enterprise Streamlined 'Shiny' Application Framework | Constance Brett |
| periscope2 | 0.2.3 | Enterprise Streamlined 'shiny' Application Framework Using
'bs4Dash' | Mohammed Ali |
| PERK | 0.0.9.2 | Predicting Environmental Concentration and Risk | Kishore Kumar Jagadeesan |
| perm | 1.0-0.4 | Exact or Asymptotic Permutation Tests | Michael P. Fay |
| PermAlgo | 1.2 | Permutational Algorithm to Simulate Survival Data | Marie-Pierre Sylvestre
|
| PERMANOVA | 0.2.0 | Multivariate Analysis of Variance Based on Distances and
Permutations | Laura Vicente-Gonzalez |
| permChacko | 0.2.0 | Chacko Test for Order-Restriction with Permutation | Waldir Leoncio |
| permGS | 0.2.5 | Permutational Group Sequential Test for Time-to-Event Data | Matthias Brueckner |
| permimp | 1.0-2 | Conditional Permutation Importance | Dries Debeer |
| permPATH | 1.3 | Permutation Based Gene Expression Pathway Analysis | Ivo D. Shterev |
| perms | 1.13 | Fast Permutation Computation | Per August Jarval Moen |
| permubiome | 1.3.2 | A Permutation Based Test for Biomarker Discovery in Microbiome
Data | Alfonso Benitez-Paez |
| permuco | 1.1.2 | Permutation Tests for Regression, (Repeated Measures)
ANOVA/ANCOVA and Comparison of Signals | Jaromil Frossard |
| PermutationR | 0.1.0 | Conduct Permutation Analysis of Variance in R | Osama Abdalla |
| permutations | 1.1-2 | The Symmetric Group: Permutations of a Finite Set | Robin K. S. Hankin |
| permute | 0.9-7 | Functions for Generating Restricted Permutations of Data | Gavin L. Simpson |
| permutes | 2.8 | Permutation Tests for Time Series Data | Cesko C. Voeten |
| perplexR | 0.0.3 | A Coding Assistant using Perplexity's Large Language Models | Gabriel Kaiser |
| perry | 0.3.1 | Resampling-Based Prediction Error Estimation for Regression
Models | Andreas Alfons |
| perryExamples | 0.1.1 | Examples for Integrating Prediction Error Estimation into
Regression Models | Andreas Alfons |
| persDx | 0.5.0 | Personalized Diagnostics Rules for Subgroup Identification and
Personalized Biomarker Discovery | Yunro Chung |
| PerseusR | 0.3.4 | Perseus R Interop | Jan Rudolph |
| PersianStemmer | 1.0 | Persian Stemmer for Text Analysis | Roozbeh Safshekan |
| PersomicsArray | 1.0 | Automated Persomics Array Image Extraction | John Smestad |
| personalized | 0.2.7 | Estimation and Validation Methods for Subgroup Identification
and Personalized Medicine | Jared Huling |
| personalized2part | 0.0.1 | Two-Part Estimation of Treatment Rules for Semi-Continuous Data | Jared Huling |
| personalr | 1.0.3 | Automated Personal Package Setup | Sebastian Carl |
| personr | 1.0.0 | Test Your Personality | Renfei Mao |
| perspectev | 1.1 | Permutation of Species During Turnover Events | Kenneth B. Hoehn |
| peRspective | 0.1.1 | Interface to the 'Perspective' API | Fabio Votta |
| perturbR | 0.1.3 | Random Perturbation of Count Matrices | KM Gates |
| peruflorads43 | 0.1.1 | Reviewed Official Classification of Endangered Wild Flora
Species in Peru | Paul E. Santos Andrade |
| peruse | 0.3.1 | A Tidy API for Sequence Iteration and Set Comprehension | Jacob Goldsmith |
| perutimber | 0.1.0 | Catalogue of the Timber Forest Species of the Peruvian Amazon | Paul E. Santos Andrade |
| pesel | 0.7.5 | Automatic Estimation of Number of Principal Components in PCA | Piotr Sobczyk |
| PesticideLoadIndicator | 1.3.1 | Computes Danish Pesticide Load Indicator | Niklas Moehring |
| pestr | 0.8.2 | Interface to Download Data on Pests and Hosts from 'EPPO' | Michal Jan Czyz |
| Petersen | 2023.12.1 | Estimators for Two-Sample Capture-Recapture Studies | Carl Schwarz |
| PEtests | 0.1.0 | Power-Enhanced (PE) Tests for High-Dimensional Data | Xiufan Yu |
| PetfindeR | 2.1.0 | 'Petfinder' API Wrapper | Aaron Schlegel |
| petitr | 1.0 | Relative Growth Rate | Jean-Sebastien Pierre |
| petrinetR | 0.3.0 | Building, Visualizing, Exporting and Replaying Petri Nets | Gert Janssenswillen |
| pewdata | 0.3.2 | Reproducible Retrieval of Pew Research Center Datasets | Frederick Solt |
| pexm | 1.1.3 | Loading a JAGS Module for the Piecewise Exponential Distribution | Vinicius Mayrink |
| pez | 1.2-4 | Phylogenetics for the Environmental Sciences | William D. Pearse |
| pfa | 1.1 | Estimates False Discovery Proportion Under Arbitrary Covariance
Dependence | Tracy Ke |
| pfica | 0.1.3 | Independent Components Analysis Techniques for Functional Data | Marc Vidal |
| PFIM | 6.0.3 | Population Fisher Information Matrix | Romain Leroux |
| pfr | 1.0.1 | Interface to the 'C++' Library 'Pf' | Taylor Brown |
| pg | 0.2.4 | Polya Gamma Distribution Sampler | James Balamuta |
| pgam | 0.4.17 | Poisson-Gamma Additive Models | Washington Junger |
| pgdraw | 1.1 | Generate Random Samples from the Polya-Gamma Distribution | Daniel F. Schmidt |
| PGEE | 1.5 | Penalized Generalized Estimating Equations in High-Dimension | Gul Inan |
| pgee.mixed | 0.1.0 | Penalized Generalized Estimating Equations for Bivariate Mixed
Outcomes | Ved Deshpande |
| pgenlibr | 0.3.5 | PLINK 2 Binary (.pgen) Reader | Christopher Chang |
| pgirmess | 2.0.3 | Spatial Analysis and Data Mining for Field Ecologists | Patrick Giraudoux |
| pgKDEsphere | 1.0.1 | Parametrically Guided Kernel Density Estimator for Spherical
Data | María Alonso-Pena |
| pglm | 0.2-3 | Panel Generalized Linear Models | Yves Croissant |
| PGM2 | 1.0-1 | Nested Resolvable Designs and their Associated Uniform Designs | Mohamed Laib |
| pgmm | 1.2.7 | Parsimonious Gaussian Mixture Models | Paul D. McNicholas |
| pgnorm | 2.0 | The p-Generalized Normal Distribution | Steve Kalke |
| pGPx | 0.1.4 | Pseudo-Realizations for Gaussian Process Excursions | Dario Azzimonti |
| pgraph | 1.6 | Build Dependency Graphs using Projection | Yang Feng |
| PGRdup | 0.2.3.9 | Discover Probable Duplicates in Plant Genetic Resources
Collections | J. Aravind |
| pGRN | 0.3.5 | Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory
Network Inference | Gangcai Xie |
| pgsc | 1.0.0 | Computes Powell's Generalized Synthetic Control Estimator | Philip Barrett |
| pgTools | 1.0.2 | Functions for Generating PostgreSQL Statements/Scripts | Timothy Conwell |
| PH1XBAR | 0.11.1 | Phase I Shewhart X-Bar Chart | Yuhui Yao |
| ph2bayes | 0.0.2 | Bayesian Single-Arm Phase II Designs | Kengo Nagashima |
| ph2bye | 0.1.4 | Phase II Clinical Trial Design Using Bayesian Methods | Yalin Zhu |
| ph2mult | 0.1.1 | Phase II Clinical Trial Design for Multinomial Endpoints | Yalin Zhu |
| phacking | 0.2.1 | Sensitivity Analysis for p-Hacking in Meta-Analyses | Peter Solymos |
| PhageCocktail | 1.0.3 | Design of the Best Phage Cocktail | Maria Victoria Diaz-Galian |
| phangorn | 2.11.1 | Phylogenetic Reconstruction and Analysis | Klaus Schliep |
| phantSEM | 1.0.0.0 | Create Phantom Variables in Structural Equation Models for
Sensitivity Analyses | Alexis Georgeson |
| pharmaRTF | 0.1.4 | Enhanced RTF Wrapper for Use with Existing Table Packages | Michael Stackhouse |
| pharmaverse | 0.0.2 | Navigate 'Pharmaverse' | Ari Siggaard Knoph |
| pharmaverseadam | 0.2.0 | ADaM Test Data for the 'Pharmaverse' Family of Packages | Edoardo Mancini |
| pharmaversesdtm | 0.2.0 | Test Data for the Pharmaverse Family of Packages | Edoardo Mancini |
| pharmr | 0.96.0 | Interface to the 'Pharmpy' 'Pharmacometrics' Library | Rikard Nordgren |
| phase | 1.2.9 | Analyse Biological Time-Series Data | Lakshman Abhilash |
| Phase123 | 2.1 | Simulating and Conducting Phase 123 Trials | Andrew G Chapple |
| Phase12Compare | 1.5 | Simulates SPSO and Efftox Phase 12 Trials with Correlated
Outcomes | Andrew G Chapple |
| phase1PRMD | 1.0.2 | Personalized Repeated Measurement Design for Phase I Clinical
Trials | Lu Zhang |
| phase1RMD | 1.0.9 | Repeated Measurement Design for Phase I Clinical Trial | Jun Yin |
| phaseR | 2.2.1 | Phase Plane Analysis of One- And Two-Dimensional Autonomous ODE
Systems | Michael J Grayling |
| PhaseType | 0.2.1 | Inference for Phase-Type Distributions | Louis Aslett |
| PhaseTypeR | 1.0.4 | General-Purpose Phase-Type Functions | Iker Rivas-González |
| phateR | 1.0.7 | PHATE - Potential of Heat-Diffusion for Affinity-Based
Transition Embedding | Scott Gigante |
| PHclust | 0.1.0 | Poisson Hurdle Clustering for Sparse Microbiome Data | Zhili Qiao |
| phd | 0.2 | Permutation Testing in High-Dimensional Linear Models | Jesse Hemerik |
| phdcocktail | 0.1.0 | Enhance the Ease of R Experience as an Emerging Researcher | Dahham Alsoud |
| pheatmap | 1.0.12 | Pretty Heatmaps | Raivo Kolde |
| pheble | 0.1.0 | Classifying High-Dimensional Phenotypes with Ensemble Learning | Jay Devine |
| PheCAP | 1.2.1 | High-Throughput Phenotyping with EHR using a Common Automated
Pipeline | PARSE LTD |
| phecodemap | 0.1.0 | Visualization for PheCode Mapping with ICD-9 and ICD-10-CM Codes | PARSE LTD |
| PHEindicatormethods | 2.0.2 | Common Public Health Statistics and their Confidence Intervals | Anderson Georgina |
| phenesse | 0.1.2 | Estimate Phenological Metrics using Presence-Only Data | Michael Belitz |
| phenex | 1.4-5 | Auxiliary Functions for Phenological Data Analysis | Daniel Doktor |
| PHENIX | 1.3.1 | Phenotypic Integration Index | A. J. Muñoz-Pajares |
| phenmod | 1.2-7 | Auxiliary Functions for Phenological Data Processing, Modelling
and Result Handling | Maximilian Lange |
| phenModel | 1.0 | Insect Phenology Model Evaluation Based on Daily Temperatures | Rafael de Andrade Moral |
| pheno | 1.7-0 | Auxiliary Functions for Phenological Data Analysis | Maximilian Lange |
| phenocamr | 1.1.5 | Facilitates 'PhenoCam' Data Access and Time Series
Post-Processing | Koen Hufkens |
| phenoCDM | 0.1.3 | Continuous Development Models for Incremental Time-Series
Analysis | Bijan Seyednasrollah |
| phenofit | 0.3.9 | Extract Remote Sensing Vegetation Phenology | Dongdong Kong |
| phenolocrop | 0.0.2 | Time-Series Models to the Crop Phenology | Shoji Taniguchi |
| phenology | 9.1 | Tools to Manage a Parametric Function that Describes Phenology
and More | Marc Girondot |
| phenomap | 2.0.1 | Projecting Satellite-Derived Phenology in Space | Christian John |
| phenopix | 2.4.4 | Process Digital Images of a Vegetation Cover | Gianluca Filippa |
| PheNorm | 0.1.0 | Unsupervised Gold-Standard Label Free Phenotyping Algorithm for
EHR Data | Clara-Lea Bonzel |
| Phenotype | 0.1.0 | A Tool for Phenotypic Data Processing | Peng Zhao |
| PhenotypeSimulator | 0.3.4 | Flexible Phenotype Simulation from Different Genetic and Noise
Models | Hannah Meyer |
| PHENTHAUproc | 1.0.1 | Phenology Modelling of Thaumetopoea Processionea | Lorenz Bachfischer |
| phers | 1.0.2 | Calculate Phenotype Risk Scores | Jake Hughey |
| PHeval | 0.5.4 | Evaluation of the Proportional Hazards Assumption with a
Standardized Score Process | Cecile Chauvel |
| PheVis | 1.0.4 | Automatic Phenotyping of Electronic Health Record at Visit
Resolution | Thomas Ferte |
| Phi2rho | 1.0.1 | Owen's T Function and Bivariate Normal Integral | Janez Komelj |
| phia | 0.3-1 | Post-Hoc Interaction Analysis | Helios De Rosario-Martinez |
| phiDelta | 1.0.1 | Tool for Phi Delta Analysis of Features | Ursula Neumann |
| philentropy | 0.8.0 | Similarity and Distance Quantification Between Probability
Functions | Hajk-Georg Drost |
| PhilipsHue | 1.0.0 | R Interface to the Philips Hue API | Justin Brantley |
| PHInfiniteEstimates | 2.9.5 | Tools for Inference in the Presence of a Monotone Likelihood | John E. Kolassa |
| PhitestR | 0.2.0 | Analyzing the Heterogeneity of Single-Cell Populations | Wei Vivian Li |
| phm | 1.1.2 | Phrase Mining | Ellie Small |
| phoenix | 1.0.0 | The Phoenix Pediatric Sepsis and Septic Shock Criteria | Peter DeWitt |
| phonenumber | 0.2.3 | Convert Letters to Numbers and Back as on a Telephone Keypad | Steve Myles |
| phonics | 1.3.10 | Phonetic Spelling Algorithms | James Howard |
| phonR | 1.0-7 | Tools for Phoneticians and Phonologists | Daniel R. McCloy |
| phonTools | 0.2-2.2 | Tools for Phonetic and Acoustic Analyses | Santiago Barreda |
| phosphoricons | 0.2.1 | 'Phosphor' Icons for R | Victor Perrier |
| photobiology | 0.11.2 | Photobiological Calculations | Pedro J. Aphalo |
| photobiologyFilters | 0.6.0 | Spectral Transmittance and Spectral Reflectance Data | Pedro J. Aphalo |
| photobiologyInOut | 0.4.27 | Read Spectral and Logged Data from Foreign Files | Pedro J. Aphalo |
| photobiologyLamps | 0.5.2 | Spectral Irradiance Data for Lamps | Pedro J. Aphalo |
| photobiologyLEDs | 0.5.2 | Spectral Data for Light-Emitting-Diodes | Pedro J. Aphalo |
| photobiologyPlants | 0.5.0 | Plant Photobiology Related Functions and Data | Pedro J. Aphalo |
| photobiologySensors | 0.5.1 | Response Data for Light Sensors | Pedro J. Aphalo |
| photobiologySun | 0.5.0 | Data for Sunlight Spectra | Pedro J. Aphalo |
| photobiologyWavebands | 0.5.2 | Waveband Definitions for UV, VIS, and IR Radiation | Pedro J. Aphalo |
| PhotosynQ | 0.2.3 | Connect to PhotosynQ | Sebastian Kuhlgert |
| photosynthesis | 2.1.4 | Tools for Plant Ecophysiology & Modeling | Chris Muir |
| phrases | 0.1 | Phrasal Verbs in English Club Website | Suman Khanal |
| phreeqc | 3.7.6 | R Interface to Geochemical Modeling Software | S.R. Charlton |
| phsmethods | 1.0.2 | Standard Methods for Use in Public Health Scotland | Tina Fu |
| PHSMM | 1.0 | Penalised Maximum Likelihood Estimation for Hidden Semi-Markov
Models | Jennifer Pohle |
| phuassess | 1.1 | Proportional Habitat Use Assessment | Caterina Pisani |
| PhViD | 1.0.8 | PharmacoVigilance Signal Detection | Ismaïl Ahmed |
| phyclust | 0.1-34 | Phylogenetic Clustering (Phyloclustering) | Wei-Chen Chen |
| phyext2 | 0.0.4 | An Extension (for Package 'SigTree') of Some of the Classes in
Package 'phylobase' | John R. Stevens |
| phylin | 2.0.2 | Spatial Interpolation of Genetic Data | Pedro Tarroso |
| phylobase | 0.8.12 | Base Package for Phylogenetic Structures and Comparative Data | Francois Michonneau |
| phylocanvas | 0.1.3 | Interactive Phylogenetic Trees Using the 'Phylocanvas'
JavaScript Library | zachary charlop-powers |
| phyloclim | 0.9.5 | Integrating Phylogenetics and Climatic Niche Modeling | Christoph Heibl |
| phylocomr | 0.3.4 | Interface to 'Phylocom' | Luna Luisa Sanchez Reyes |
| PhylogeneticEM | 1.7.0 | Automatic Shift Detection using a Phylogenetic EM | Paul Bastide |
| PHYLOGR | 1.0.11 | Functions for Phylogenetically Based Statistical Analyses | Ramon Diaz-Uriarte |
| phylogram | 2.1.0 | Dendrograms for Evolutionary Analysis | Shaun Wilkinson |
| phylolm | 2.6.2 | Phylogenetic Linear Regression | Lam Si Tung Ho |
| phylometrics | 0.0.1 | Estimating Statistical Errors of Phylogenetic Metrics | Xia Hua |
| phylopath | 1.2.1 | Perform Phylogenetic Path Analysis | Wouter van der Bijl |
| phyloraster | 2.1.0 | Evolutionary Diversity Metrics for Raster Data | Gabriela Alves-Ferreira |
| phyloregion | 1.0.8 | Biogeographic Regionalization and Macroecology | Barnabas H. Daru |
| phylosamp | 1.0.1 | Sample Size Calculations for Molecular and Phylogenetic Studies | Justin Lessler |
| phylosem | 1.1.4 | Phylogenetic Structural Equation Model | James Thorson |
| phyloseqGraphTest | 0.1.1 | Graph-Based Permutation Tests for Microbiome Data | Julia Fukuyama |
| phylosignal | 1.3.1 | Exploring the Phylogenetic Signal in Continuous Traits | Francois Keck |
| phylotate | 1.3 | Phylogenies with Annotations | Daniel Beer |
| phylotools | 0.2.2 | Phylogenetic Tools for Eco-Phylogenetics | Jinlong Zhang |
| phyloTop | 2.1.2 | Calculating Topological Properties of Phylogenies | Michelle Kendall |
| phylter | 0.9.11 | Detect and Remove Outliers in Phylogenomics Datasets | Aurélie Siberchicot |
| phyr | 1.1.0 | Model Based Phylogenetic Analysis | Daijiang Li |
| phyreg | 1.0.2 | The Phylogenetic Regression of Grafen (1989) | Alan Grafen |
| PhysActBedRest | 1.1 | Marks Periods of 'Bedrest' in Actigraph Accelerometer Data | J. Dustin Tracy |
| PhysicalActivity | 0.2-4 | Process Accelerometer Data for Physical Activity Measurement | Leena Choi |
| physiology | 1.2.1 | Calculate physiologic characteristics of awake and anesthetized
adults, children and infants | Jack O. Wasey |
| PhySortR | 1.0.8 | A Fast, Flexible Tool for Sorting Phylogenetic Trees | Timothy Stephens |
| phytoclass | 1.0.0 | Estimate Chla Biomass of Phytoplankton Groups | Alexander Hayward |
| phytools | 2.1-1 | Phylogenetic Tools for Comparative Biology (and Other Things) | Liam J. Revell |
| piar | 0.7.0 | Price Index Aggregation | Steve Martin |
| picante | 1.8.2 | Integrating Phylogenies and Ecology | Steven W. Kembel |
| picasso | 1.3.1 | Pathwise Calibrated Sparse Shooting Algorithm | Jason Ge |
| PICBayes | 1.0 | Bayesian Models for Partly Interval-Censored Data | Chun Pan |
| picClip | 0.1.0 | Paste Box Input for 'Shiny' | Matt Deppe |
| picker | 0.2.6 | Pick Data Points from a Deck.gl Scatterplot | Alex Pickering |
| picR | 1.0.0 | Predictive Information Criteria for Model Selection | Javier Flores |
| pid | 0.50 | Process Improvement using Data | Kevin Dunn |
| PieceExpIntensity | 1.0.4 | Bayesian Model to Find Changepoints Based on Rates and Count
Data | Andrew G. Chapple |
| piecemaker | 1.0.2 | Tools for Preparing Text for Tokenizers | Jon Harmon |
| piecepackr | 1.13.10 | Board Game Graphics | Trevor L Davis |
| piecewiseSEM | 2.3.0 | Piecewise Structural Equation Modeling | Jon Lefcheck |
| PieGlyph | 0.1.0 | Axis Invariant Scatter Pie Plots | Rishabh Vishwakarma |
| piggyback | 0.1.5 | Managing Larger Data on a GitHub Repository | Carl Boettiger |
| Pijavski | 1.0.3 | Global Univariate Minimization | Gleb Beliakov |
| pillar | 1.9.0 | Coloured Formatting for Columns | Kirill Müller |
| pim | 2.0.2 | Fit Probabilistic Index Models | Joris Meys |
| pimeta | 1.1.3 | Prediction Intervals for Random-Effects Meta-Analysis | Kengo Nagashima |
| pinfsc50 | 1.3.0 | Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for
17 Samples of 'P. Infestans" and 1 'P. Mirabilis' | Brian J. Knaus |
| pingers | 0.1.1 | Identify, Ping, and Log Internet Provider Connection Data | Jesse Vent |
| pingr | 2.0.3 | Check if a Remote Computer is Up | Gábor Csárdi |
| PINMA | 1.1-2 | Improved Methods for Constructing Prediction Intervals for
Network Meta-Analysis | Hisashi Noma |
| pinnacle.data | 0.1.4 | Market Odds Data from Pinnacle | Marco Blume |
| pinochet | 0.1.0 | Data About the Victims of the Pinochet Regime, 1973-1990 | Danilo Freire |
| pinp | 0.0.10 | 'pinp' is not 'PNAS' | Dirk Eddelbuettel |
| pins | 1.3.0 | Pin, Discover and Share Resources | Julia Silge |
| PINSPlus | 2.0.7 | Clustering Algorithm for Data Integration and Disease Subtyping | Van-Dung Pham |
| PINstimation | 0.1.2 | Estimation of the Probability of Informed Trading | Montasser Ghachem |
| pinterestadsR | 0.1.0 | Access to Pinterest Ads via the 'Windsor.ai' API | Pablo Sanchez |
| pinyin | 1.1.6 | Convert Chinese Characters into Pinyin, Sijiao, Wubi or Other
Codes | Peng Zhao |
| pipe.design | 0.5.1 | Dual-Agent Dose Escalation for Phase I Trials using the PIPE
Design | Michael Sweeting |
| pipebind | 0.1.2 | Flexible Binding for Complex Function Evaluation with the Base R
|> Pipe | Brenton M. Wiernik |
| pipefittr | 0.1.2 | Convert Nested Functions to Pipes | Sahil Seth |
| pipeGS | 0.4 | Permutation p-Value Estimation for Gene Set Tests | Hera He |
| pipeliner | 0.1.1 | Machine Learning Pipelines for R | Alex Ioannides |
| pipenostics | 0.2.0 | Diagnostics, Reliability and Predictive Maintenance of Pipeline
Systems | Yuri Possokhov |
| pipeR | 0.6.1.3 | Multi-Paradigm Pipeline Implementation | Kun Ren |
| piqp | 0.2.2 | R Interface to Proximal Interior Point Quadratic Programming
Solver | Balasubramanian Narasimhan |
| piratings | 0.1.9 | Calculate Pi Ratings for Teams Competing in Sport Matches | Lars Van Cutsem |
| piRF | 0.1.0 | Prediction Intervals for Random Forests | Chancellor Johnstone |
| pisaRT | 2.0.2 | Small Example Response and Response Time Data from PISA 2018 | Benjamin Becker |
| piton | 1.0.0 | Parsing Expression Grammars in Rcpp | Os Keyes |
| pivmet | 0.5.0 | Pivotal Methods for Bayesian Relabelling and k-Means Clustering | Leonardo Egidi |
| pivotaltrackR | 0.2.0 | A Client for the 'Pivotal Tracker' API | Neal Richardson |
| pivotea | 1.0.1 | Create Pivot Table Easily | Toshikazu Matsumura |
| pivottabler | 1.5.5 | Create Pivot Tables | Christopher Bailiss |
| piwikproR | 0.4.0 | Access 'Piwik Pro' Website Statistics | Martin Stingl |
| pixarfilms | 0.2.1 | Pixar Films and Achievements | Eric Leung |
| pixelclasser | 1.1.1 | Classifies Image Pixels by Colour | Carlos Real |
| pixelpuzzle | 1.0.1 | Puzzle Game for the R Console | Roland Krasser |
| pixels | 0.1.1 | Tools for Working with Image Pixels | Daniel Falbel |
| pixiedust | 0.9.4 | Tables so Beautifully Fine-Tuned You Will Believe It's Magic | Benjamin Nutter |
| pixmap | 0.4-12 | Bitmap Images / Pixel Maps | Friedrich Leisch |
| PK | 1.3-6 | Basic Non-Compartmental Pharmacokinetics | Thomas Jaki |
| pk4adi | 0.1.3.2 | PK for Anesthetic Depth Indicators | Feng Jiang |
| PKconverter | 1.5 | The Parameter Converter of the Pharmacokinetic Models | Eun-Kyung Lee |
| pkdata | 0.1.0 | Creates Pharmacokinetic/Pharmacodynamic (PK/PD) Data | Cole Beck |
| pkgbuild | 1.4.4 | Find Tools Needed to Build R Packages | Gábor Csárdi |
| pkgcache | 2.2.2 | Cache 'CRAN'-Like Metadata and R Packages | Gábor Csárdi |
| pkgcond | 0.1.1 | Classed Error and Warning Conditions | Andrew Redd |
| pkgconfig | 2.0.3 | Private Configuration for 'R' Packages | Gábor Csárdi |
| pkgdepends | 0.7.2 | Package Dependency Resolution and Downloads | Gábor Csárdi |
| pkgdepR | 1.0.0 | Statically Determine Function Dependencies Between Packages | Ed Peyton |
| pkgdown | 2.0.7 | Make Static HTML Documentation for a Package | Hadley Wickham |
| pkgfilecache | 0.1.5 | Download and Manage Optional Package Data | Tim Schäfer |
| pkggraph | 0.2.3 | A Consistent and Intuitive Platform to Explore the Dependencies
of Packages on the Comprehensive R Archive Network Like
Repositories | KS Srikanth |
| pkgGraphR | 0.2.0 | Graph the Relationship Between Functions in an R Package | David Oliver |
| pkgKitten | 0.2.3 | Create Simple Packages Which Do not Upset R Package Checks | Dirk Eddelbuettel |
| pkglite | 0.2.2 | Compact Package Representations | Nan Xiao |
| pkgload | 1.3.4 | Simulate Package Installation and Attach | Lionel Henry |
| pkgmaker | 0.32.10 | Development Utilities for R Packages | Renaud Gaujoux |
| pkgndep | 1.99.3 | Analyze Dependency Heaviness of R Packages | Zuguang Gu |
| pkgnet | 0.4.2 | Get Network Representation of an R Package | Brian Burns |
| pkgnews | 0.0.2 | Retrieve R Package News Files | Owen Jones |
| pkgsearch | 3.1.3 | Search and Query CRAN R Packages | Gábor Csárdi |
| pkgverse | 0.0.1 | Build a Meta-Package Universe | Michael Wayne Kearney |
| PKI | 0.1-12 | Public Key Infrastucture for R Based on the X.509 Standard | Simon Urbanek |
| PKLMtest | 1.0.1 | Classification Based MCAR Test | Meta-Lina Spohn |
| pkmon | 1.1 | Least-Squares Estimator under k-Monotony Constraint for Discrete
Functions | Francois Deslandes |
| PKNCA | 0.10.2 | Perform Pharmacokinetic Non-Compartmental Analysis | Bill Denney |
| PKPDsim | 1.3.0 | Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations | Ron Keizer |
| pkr | 0.1.3 | Pharmacokinetics in R | Kyun-Seop Bae |
| pks | 0.6-0 | Probabilistic Knowledge Structures | Florian Wickelmaier |
| pKSEA | 0.0.1 | Prediction-Based Kinase-Substrate Enrichment Analysis | Peter Liao |
| pksensi | 1.2.3 | Global Sensitivity Analysis in Physiologically Based Kinetic
Modeling | Nan-Hung Hsieh |
| PL94171 | 1.1.2 | Tabulate P.L. 94-171 Redistricting Data Summary Files | Cory McCartan |
| plac | 0.1.3 | A Pairwise Likelihood Augmented Cox Estimator for Left-Truncated
Data | Fan Wu |
| placer | 0.1.3 | PLastic ACcumulation Estimate using R (PLACER) | Davi Castro-Tavares |
| PlackettLuce | 0.4.3 | Plackett-Luce Models for Rankings | Heather Turner |
| plainview | 0.2.1 | Plot Raster Images Interactively on a Plain HTML Canvas | Tim Appelhans |
| plan | 0.4-5 | Tools for Project Planning | Dan Kelley |
| PlaneGeometry | 1.6.0 | Plane Geometry | Stéphane Laurent |
| Planesmuestra | 0.1 | Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD
414 Acceptance Sampling Plan | Erick Marroquin |
| PlanetNICFI | 1.0.5 | Processing of the 'Planet NICFI' Satellite Imagery | Lampros Mouselimis |
| planets | 0.1.0 | Simple and Accessible Data from all Known Planets | Alejandro Jiménez Rico |
| planningML | 1.0.1 | A Sample Size Calculator for Machine Learning Applications in
Healthcare | Xinying Fang |
| planr | 0.3.0 | Tools for Supply Chain Management, Demand and Supply Planning | Nicolas Nguyen |
| planscorer | 0.0.1 | Score Redistricting Plans with 'PlanScore' | Christopher T. Kenny |
| plantecophys | 1.4-6 | Modelling and Analysis of Leaf Gas Exchange Data | Remko Duursma |
| plantecowrap | 1.0.4 | Enhancing Capabilities of 'plantecophys' | Joseph Stinziano |
| plantphysioR | 1.0.0 | Fundamental Formulas for Plant Physiology | Ramesh Ramasamy |
| plantTracker | 1.1.0 | Extract Demographic and Competition Data from Fine-Scale Maps | Alice Stears |
| plaqr | 2.0 | Partially Linear Additive Quantile Regression | Adam Maidman |
| plasma | 1.0.0 | Partial LeAst Squares for Multiomic Analysis | Kevin R. Coombes |
| PlasmaMutationDetector | 1.7.2 | Tumor Mutation Detection in Plasma | Yves Rozenholc |
| PlasmaMutationDetector2 | 1.1.11 | Tumor Mutation Detection in Plasma using Barcoding | Rozenholc |
| Plasmidprofiler | 0.1.6 | Visualization of Plasmid Profile Results | Adrian Zetner |
| plasso | 0.1.2 | Cross-Validated (Post-) Lasso | Glaisner Stefan |
| plater | 1.0.4 | Read, Tidy, and Display Data from Microtiter Plates | Sean Hughes |
| platetools | 0.1.7 | Tools and Plots for Multi-Well Plates | Scott Warchal |
| PlatformDesign | 2.1.4 | Optimal Two-Period Multiarm Platform Design with New
Experimental Arms Added During the Trial | Xiaomeng Yuan |
| platowork | 0.0.1 | Data from a Test of the PlatoWork tDCS Headset | Lasse Hjorth Madsen |
| plattice | 1.0 | Lattice Plot for Panel Data | Michail Tsagris |
| Platypus | 3.5.0 | Single-Cell Immune Repertoire and Gene Expression Analysis | Alexander Yermanos |
| play | 0.1.3 | Visualize Sports Data | Joe Chelladurai |
| PlayerRatings | 1.1-0 | Dynamic Updating Methods for Player Ratings Estimation | Alec Stephenson |
| pldamixture | 0.1.0 | Post-Linkage Data Analysis Based on Mixture Modelling | Priyanjali Bukke |
| plde | 0.1.2 | Penalized Log-Density Estimation Using Legendre Polynomials | JungJun Lee |
| pleio | 1.9 | Pleiotropy Test for Multiple Traits on a Genetic Marker | Jason Sinnwell |
| pleiotest | 1.0.0 | Fast Sequential Pleiotropy Test | Fernando Aguate |
| pleLMA | 0.2.1 | Pseudo-Likelihood Estimation of Log-Multiplicative Association
Models | Carolyn J. Anderson |
| PLEXI | 1.0.0 | Multiplex Network Analysis | Behnam Yousefi |
| PLFD | 0.2.0 | Portmanteau Local Feature Discrimination for Matrix-Variate Data | Zengchao Xu |
| plfm | 2.2.6 | Probabilistic Latent Feature Analysis | Michel Meulders |
| plfMA | 2.0 | A GUI to View, Design and Export Various Graphs of Data | Dhammapal Bharne |
| plgp | 1.1-12 | Particle Learning of Gaussian Processes | Robert B. Gramacy |
| plgraphics | 1.2 | User Oriented Plotting Functions | Werner A. Stahel |
| pliman | 2.1.0 | Tools for Plant Image Analysis | Tiago Olivoto |
| PLindleyROC | 0.1.1 | Receiver Operating Characteristic Based on Power Lindley
Distribution | Ertan Akgenç |
| plink | 1.5-1 | IRT Separate Calibration Linking Methods | Jonathan P. Weeks |
| plinkFile | 0.2.1 | 'PLINK' (and 'GCTA') File Helpers | Xiaoran Tong |
| plinkQC | 0.3.4 | Genotype Quality Control with 'PLINK' | Hannah Meyer |
| PLIS | 1.2 | Multiplicity Control using Pooled LIS Statistic | Zhi Wei |
| plm | 2.6-4 | Linear Models for Panel Data | Kevin Tappe |
| PLMIX | 2.1.1 | Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for
Partial Rankings/Orderings | Cristina Mollica |
| PLmixed | 0.1.7 | Estimate (Generalized) Linear Mixed Models with Factor
Structures | Nicholas Rockwood |
| pln | 0.2-2 | Polytomous Logit-Normit (Graded Logistic) Model Estimation | Carl F. Falk |
| PLNmodels | 1.2.0 | Poisson Lognormal Models | Julien Chiquet |
| plnr | 2022.11.23 | A System for Planing Analyses | Richard Aubrey White |
| plogr | 0.2.0 | The 'plog' C++ Logging Library | Kirill Müller |
| PLordprob | 1.1 | Multivariate Ordered Probit Model via Pairwise Likelihood | Euloge Clovis Kenne Pagui |
| PLORN | 0.1.1 | Prediction with Less Overfitting and Robust to Noise | Takahiko Koizumi |
| plot.matrix | 1.6.2 | Visualizes a Matrix as Heatmap | Sigbert Klinke |
| plot3D | 1.4.1 | Plotting Multi-Dimensional Data | Karline Soetaert |
| plot3Drgl | 1.0.4 | Plotting Multi-Dimensional Data - Using 'rgl' | Karline Soetaert |
| plot4fun | 0.1.1 | Just Plot for Fun | Chen Peng |
| plotBart | 0.1.7 | Diagnostic and Plotting Functions to Supplement 'bartCause' | Joseph Marlo |
| plotbb | 0.0.6 | Grammar of Graphics for 'base' Plot | Guangchuang Yu |
| PlotBivInvGaus | 0.1.0 | Density Contour Plot for Bivariate Inverse Gaussian Distribution | Bhushan Saswade |
| PlotContour | 0.1.0 | Plot Contour Line | Olivia Cheronet |
| plotdap | 1.0.3 | Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap'
Package | Roy Mendelssohn |
| plotDK | 0.1.0 | Plot Summary Statistics as Choropleth Maps of Danish
Administrative Areas | Kristian Stendorff Nielsen |
| plotfunctions | 1.4 | Various Functions to Facilitate Visualization of Data and
Analysis | Jacolien van Rij |
| plotGMM | 0.2.2 | Tools for Visualizing Gaussian Mixture Models | Philip Waggoner |
| plothelper | 0.1.9 | New Plots Based on 'ggplot2' and Functions to Create Regular
Shapes | Jiang Wu |
| plotHMM | 2023.8.28 | Plot Hidden Markov Models | Toby Hocking |
| plotluck | 1.1.1 | 'ggplot2' Version of "I'm Feeling Lucky!" | Stefan Schroedl |
| plotly | 4.10.4 | Create Interactive Web Graphics via 'plotly.js' | Carson Sievert |
| plotlyGeoAssets | 0.0.2 | Render 'Plotly' Maps without an Internet Connection | Carson Sievert |
| plotMCMC | 2.0.1 | MCMC Diagnostic Plots | Arni Magnusson |
| plotMElm | 0.1.5 | Plot Marginal Effects from Linear Models | Christopher Gandrud |
| plotmm | 0.1.1 | Tidy Tools for Visualizing Mixture Models | Philip Waggoner |
| plotmo | 3.6.3 | Plot a Model's Residuals, Response, and Partial Dependence Plots | Stephen Milborrow |
| plotpc | 1.0.4 | Plot Principal Component Histograms Around a Scatter Plot | Stephen Milborrow |
| PlotPrjNetworks | 1.0.0 | Useful Networking Tools for Project Management | Joaquin Bienvenido Ordieres Mere |
| plotprotein | 1.0 | Development of Visualization Tools for Protein Sequence | Yao Geng |
| plotrix | 3.8-4 | Various Plotting Functions | Duncan Murdoch |
| plotROC | 2.3.1 | Generate Useful ROC Curve Charts for Print and Interactive Use | Michael C. Sachs |
| plotscale | 0.1.6 | Scale Graphics Devices Using Plot Dimensions | Tim Bergsma |
| plotSEMM | 2.4 | Graphing Nonlinear Relations Among Latent Variables from
Structural Equation Mixture Models | Phil Chalmers |
| PlotTools | 0.3.0 | Add Continuous Legends to Plots | Martin R. Smith |
| plotwidgets | 0.5.1 | Spider Plots, ROC Curves, Pie Charts and More for Use in Other
Plots | January Weiner |
| plpoisson | 0.3.0 | Prediction Limits for Poisson Distribution | Luca Sartore |
| PLreg | 0.4.1 | Power Logit Regression for Modeling Bounded Data | Felipe Queiroz |
| PLRModels | 1.4 | Statistical Inference in Partial Linear Regression Models | Ana Lopez-Cheda |
| pls | 2.8-3 | Partial Least Squares and Principal Component Regression | Kristian Hovde Liland |
| plsdepot | 0.2.0 | Partial Least Squares (PLS) Data Analysis Methods | Frederic Bertrand |
| plsdof | 0.3-2 | Degrees of Freedom and Statistical Inference for Partial Least
Squares Regression | Frederic Bertrand |
| plsgenomics | 1.5-3 | PLS Analyses for Genomics | Ghislain Durif |
| PLSiMCpp | 1.0.4 | Methods for Partial Linear Single Index Model | Shunyao Wu |
| plsmmLasso | 1.0.0 | Variable Selection and Inference for Partial Semiparametric
Linear Mixed-Effects Model | Sami Leon |
| plsmod | 1.0.0 | Model Wrappers for Projection Methods | Max Kuhn |
| plsmselect | 0.2.0 | Linear and Smooth Predictor Modelling with Penalisation and
Variable Selection | Indrayudh Ghosal |
| plspm | 0.5.1 | Partial Least Squares Path Modeling (PLS-PM) | Frederic Bertrand |
| plsRbeta | 0.3.0 | Partial Least Squares Regression for Beta Regression Models | Frederic Bertrand |
| plsRcox | 1.7.7 | Partial Least Squares Regression for Cox Models and Related
Techniques | Frederic Bertrand |
| plsRglm | 1.5.1 | Partial Least Squares Regression for Generalized Linear Models | Frederic Bertrand |
| plsVarSel | 0.9.10 | Variable Selection in Partial Least Squares | Kristian Hovde Liland |
| pltesim | 1.0 | Simulate Probabilistic Long-Term Effects in Models with Temporal
Dependence | Christopher Gandrud |
| plu | 0.3.0 | Dynamically Pluralize Phrases | Alexander Rossell Hayes |
| plugdensity | 0.8-5 | Plug-in Kernel Density Estimation | Martin Maechler |
| plumber | 1.2.2 | An API Generator for R | Barret Schloerke |
| plumberDeploy | 0.2.1 | Plumber Deployment | Bruno Tremblay |
| plumbertableau | 0.1.1 | Turn 'Plumber' APIs into 'Tableau' Extensions | James Blair |
| plumbr | 0.6.10 | Mutable and Dynamic Data Models | Michael Lawrence |
| plume | 0.2.3 | A Simple Author Handler for Scientific Writing | Arnaud Gallou |
| pluscode | 0.1.0 | Encoder for Google 'Pluscodes' | Michael Doyle |
| plusCode2 | 0.1.0 | Coordinates to 'Plus Code' Conversion Tool | Armando d'Aniello |
| plutor | 0.1.0 | Useful Functions for Visualization | William Song |
| plyr | 1.8.9 | Tools for Splitting, Applying and Combining Data | Hadley Wickham |
| pm3 | 0.1.9 | Propensity Score Matching for Unordered 3-Group Data | Qiang LIU |
| PMA | 1.2-3 | Penalized Multivariate Analysis | Balasubramanian Narasimhan |
| PMAPscore | 0.1.1 | Identify Prognosis-Related Pathways Altered by Somatic Mutation | Junwei Han |
| pmartR | 2.4.4 | Panomics Marketplace - Quality Control and Statistical Analysis
for Panomics Data | Lisa Bramer |
| pmc | 1.0.6 | Phylogenetic Monte Carlo | Carl Boettiger |
| pmcalibration | 0.1.0 | Calibration Curves for Clinical Prediction Models | Stephen Rhodes |
| pmclust | 0.2-1 | Parallel Model-Based Clustering using
Expectation-Gathering-Maximization Algorithm for Finite Mixture
Gaussian Model | Wei-Chen Chen |
| PMCMR | 4.4 | Calculate Pairwise Multiple Comparisons of Mean Rank Sums | Thorsten Pohlert |
| PMCMRplus | 1.9.10 | Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Extended | Thorsten Pohlert |
| pmd | 0.2.1 | Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted
Analysis and Reactomics Analysis | Miao YU |
| pmetar | 0.5.0 | Processing METAR Weather Reports | Pawel Cwiek |
| PMEvapotranspiration | 0.1.0 | Calculation of the Penman-Monteith Evapotranspiration using
Weather Variables | Dr. Himadri Shekhar Roy |
| pmhtutorial | 1.5 | Minimal Working Examples for Particle Metropolis-Hastings | Johan Dahlin |
| pmlbr | 0.2.1 | Interface to the Penn Machine Learning Benchmarks Data
Repository | Trang Le |
| pmledecon | 0.2.1 | Deconvolution Density Estimation using Penalized MLE | Yun Cai |
| pmml | 2.5.2 | Generate PMML for Various Models | Dmitriy Bolotov |
| pmmlTransformations | 1.3.3 | Transforms Input Data from a PMML Perspective | Dmitriy Bolotov |
| pmparser | 1.0.20 | Create and Maintain a Relational Database of Data from
PubMed/MEDLINE | Jake Hughey |
| pmr | 1.2.5.1 | Probability Models for Ranking Data | Paul H. Lee |
| pmsampsize | 1.1.3 | Sample Size for Development of a Prediction Model | Joie Ensor |
| pmultinom | 1.0.0 | One-Sided Multinomial Probabilities | Alexander Davis |
| pmvalsampsize | 0.1.0 | Sample Size for External Validation of a Prediction Model | Joie Ensor |
| pmwg | 0.2.7 | Particle Metropolis Within Gibbs | Gavin Cooper |
| PMwR | 0.19-3 | Portfolio Management with R | Enrico Schumann |
| pmxcode | 0.1.2 | Create Pharmacometric Models | Sebastien Bihorel |
| pmxcv | 0.0.1.0 | Integration-Based Coefficients of Variance | John Prybylski |
| pmxpartab | 0.5.0 | Parameter Tables for PMx Analyses | Benjamin Rich |
| pmxTools | 1.3 | Pharmacometric and Pharmacokinetic Toolkit | Justin Wilkins |
| PNADcIBGE | 0.7.5 | Downloading, Reading and Analyzing PNADC Microdata | Gabriel Assuncao |
| PNAR | 1.6 | Poisson Network Autoregressive Models | Michail Tsagris |
| PNDSIBGE | 0.1.1 | Downloading, Reading and Analyzing PNDS Microdata - Package in
Development | Gabriel Assuncao |
| png | 0.1-8 | Read and write PNG images | Simon Urbanek |
| PNSIBGE | 0.2.1 | Downloading, Reading and Analyzing PNS Microdata | Gabriel Assuncao |
| PNWColors | 0.1.0 | Color Palettes Inspired by Nature in the US Pacific Northwest | Jake Lawlor |
| PoA | 1.2.1 | Finds the Price of Anarchy for Routing Games | Hector Haffenden |
| pocketapi | 0.1 | Wrapper Around the 'Pocket' API | Frie Preu |
| POCRE | 0.6.0 | Penalized Orthogonal-Components Regression | Dabao Zhang |
| pocrm | 0.13 | Dose Finding in Drug Combination Phase I Trials Using PO-CRM | "Brewer, Ben (arb5mt)" |
| POD | 1.2.0 | Probability of Detection for Qualitative PCR Methods | Markus Boenn |
| PoDBAY | 1.4.3 | Vaccine Efficacy Estimation Package | Julie Dudasova (MSD) |
| podcleaner | 0.1.2 | Legacy Scottish Post Office Directories Cleaner | Olivier Bautheac |
| POET | 2.0 | Principal Orthogonal ComplEment Thresholding (POET) Method | Martina Mincheva |
| pogit | 1.3.0 | Bayesian Variable Selection for a Poisson-Logistic Model | Michaela Dvorzak |
| PogromcyDanych | 1.7.1 | DataCrunchers (PogromcyDanych) is the Massive Online Open Course
that Brings R and Statistics to the People | Przemyslaw Biecek |
| poibin | 1.5 | The Poisson Binomial Distribution | Yili Hong |
| PoiClaClu | 1.0.2.1 | Classification and Clustering of Sequencing Data Based on a
Poisson Model | Daniela Witten |
| poilog | 0.4.2 | Poisson Lognormal and Bivariate Poisson Lognormal Distribution | Vidar Grotan |
| POINT | 1.3 | Protein Structure Guided Local Test | Shannon T. Holloway |
| pointblank | 0.12.1 | Data Validation and Organization of Metadata for Local and
Remote Tables | Richard Iannone |
| pointdensityP | 0.3.5 | Point Density for Geospatial Data | Paul Evangelista |
| PointedSDMs | 1.3.2 | Fit Models Derived from Point Processes to Species Distributions
using 'inlabru' | Philip Mostert |
| PointFore | 0.2.0 | Interpretation of Point Forecasts as State-Dependent Quantiles
and Expectiles | Patrick Schmidt |
| pointr | 0.2.0 | Working Comfortably with Pointers and Shortcuts to R Objects | Joachim Zuckarelli |
| pointRes | 2.0.2 | Analyzing Pointer Years and Components of Resilience | Marieke van der Maaten-Theunissen |
| PoisBinNonNor | 1.3.3 | Data Generation with Poisson, Binary and Continuous Components | Ran Gao |
| poisbinom | 1.0.1 | A Faster Implementation of the Poisson-Binomial Distribution | Santiago Olivella |
| PoisBinOrd | 1.4.3 | Data Generation with Poisson, Binary and Ordinal Components | Ran Gao |
| PoisBinOrdNonNor | 1.5.3 | Generation of Up to Four Different Types of Variables | Ran Gao |
| PoisBinOrdNor | 1.6.3 | Data Generation with Poisson, Binary, Ordinal and Normal
Components | Ran Gao |
| poisDoubleSamp | 1.1.1 | Confidence Intervals with Poisson Double Sampling | David Kahle |
| poisFErobust | 2.0.0 | Poisson Fixed Effects Robust | Evan Wright |
| poismf | 0.4.0-4 | Factorization of Sparse Counts Matrices Through Poisson
Likelihood | David Cortes |
| PoisNonNor | 1.6.3 | Simultaneous Generation of Count and Continuous Data | Ran Gao |
| PoisNor | 1.3.3 | Simultaneous Generation of Multivariate Data with Poisson and
Normal Marginals | Ran Gao |
| poisson.glm.mix | 1.4 | Fit High Dimensional Mixtures of Poisson GLMs | Panagiotis Papastamoulis |
| PoissonBinomial | 1.2.6 | Efficient Computation of Ordinary and Generalized Poisson
Binomial Distributions | Florian Junge |
| poissonMT | 0.3-5 | Robust M-Estimators Based on Transformations for Poisson Model | Claudio Agostinelli |
| PoissonMultinomial | 1.1 | The Poisson-Multinomial Distribution | Yili Hong |
| PoissonPCA | 1.0.3 | Poisson-Noise Corrected PCA | Toby Kenney |
| poissonreg | 1.0.1 | Model Wrappers for Poisson Regression | Hannah Frick |
| poistweedie | 1.0.2 | Poisson-Tweedie Exponential Family Models | David Pechel Cactcha |
| pokemon | 0.1.3 | Pokemon Data in English and Brazilian Portuguese | William Amorim |
| PolarCAP | 1.0.1 | Access the Polarization in Comparative Attitudes Project | Isaac Mehlhaff |
| polaroid | 0.1.0 | Create Hex Stickers with 'shiny' | Jinhwan Kim |
| poLCA | 1.6.0.1 | Polytomous Variable Latent Class Analysis | Drew Linzer |
| PolicyPortfolios | 0.3 | Tools for Managing, Measuring and Visualizing Policy Portfolios | Xavier Fernández i Marín |
| policytree | 1.2.2 | Policy Learning via Doubly Robust Empirical Welfare Maximization
over Trees | Erik Sverdrup |
| polimetrics | 1.2.1.14 | R Tools for Political Measures | Vann Jr Burrel |
| poliscidata | 2.3.0 | Datasets and Functions Featured in Pollock and Edwards, an R
Companion to Essentials of Political Analysis, Second Edition | Barry Edwards |
| polished | 0.8.1 | Authentication and Hosting for 'shiny' Apps | Andy Merlino |
| polite | 0.1.3 | Be Nice on the Web | Dmytro Perepolkin |
| politeness | 0.9.3 | Detecting Politeness Features in Text | Mike Yeomans |
| politicsR | 0.1.0 | Calculating Political System Metrics | Denisson Silva |
| polle | 1.3 | Policy Learning | Andreas Nordland |
| pollen | 0.82.0 | Analysis of Aerobiological Data | Jakub Nowosad |
| pollimetry | 1.0.1 | Estimate Pollinator Body Size and Co-Varying Ecological Traits | Liam Kendall |
| pollster | 0.1.6 | Calculate Crosstab and Topline Tables of Weighted Survey Data | John D. Johnson |
| polmineR | 0.8.9 | Verbs and Nouns for Corpus Analysis | Andreas Blaette |
| polspline | 1.1.24 | Polynomial Spline Routines | Charles Kooperberg |
| polyaAeppli | 2.0.2 | Implementation of the Polya-Aeppli Distribution | Conrad Burden |
| polyapost | 1.7 | Simulating from the Polya Posterior | Glen Meeden |
| Polychrome | 1.5.1 | Qualitative Palettes with Many Colors | Kevin R. Coombes |
| polyclip | 1.10-6 | Polygon Clipping | Adrian Baddeley |
| polycor | 0.8-1 | Polychoric and Polyserial Correlations | John Fox |
| PolycrossDesigns | 1.1.0 | Polycross Designs ("PolycrossDesigns") | Ashutosh Dalal |
| polyCub | 0.9.0 | Cubature over Polygonal Domains | Sebastian Meyer |
| polyglotr | 1.4.0 | Translate Text | Tomer Iwan |
| PolyHaplotyper | 1.0.1 | Assignment of Haplotypes Based on SNP Dosages in Diploids and
Polyploids | Roeland E. Voorrips |
| polyhedralCubature | 1.1.0 | Multiple Integration over Convex Polyhedra | Stéphane Laurent |
| polylabelr | 0.2.0 | Find the Pole of Inaccessibility (Visual Center) of a Polygon | Johan Larsson |
| polymapR | 1.1.5 | Linkage Analysis in Outcrossing Polyploids | Peter Bourke |
| polyMatrix | 0.9.16 | Infrastructure for Manipulation Polynomial Matrices | Nikolai Ryzhkov |
| polynom | 1.4-1 | A Collection of Functions to Implement a Class for Univariate
Polynomial Manipulations | Bill Venables |
| PolynomF | 2.0-8 | Polynomials in R | Bill Venables |
| PolyPatEx | 0.9.2 | Paternity Exclusion in Autopolyploid Species | Alexander Zwart |
| polypharmacy | 1.0.0 | Calculate Several Polypharmacy Indicators | Guillaume Boucher |
| polypoly | 0.0.3 | Helper Functions for Orthogonal Polynomials | Tristan Mahr |
| polyqtlR | 0.1.1 | QTL Analysis in Autopolyploid Bi-Parental F1 Populations | Peter Bourke |
| polyRAD | 2.0.0 | Genotype Calling with Uncertainty from Sequencing Data in
Polyploids and Diploids | Lindsay V. Clark |
| polyreg | 0.8.0 | Polynomial Regression | Norm Matloff |
| polysat | 1.7-7 | Tools for Polyploid Microsatellite Analysis | Lindsay V. Clark |
| polySegratio | 0.2-5 | Simulate and Test Marker Dosage for Dominant Markers in
Autopolyploids | Peter Baker |
| polySegratioMM | 0.6-4 | Bayesian Mixture Models for Marker Dosage in Autopolyploids | Peter Baker |
| PolyTree | 0.0.1 | Estimate Causal Polytree from Data | Sourav Chatterjee |
| PolyTrend | 1.2 | Trend Classification Algorithm | Hristo Tomov |
| polywog | 0.4-1 | Bootstrapped Basis Regression with Oracle Model Selection | Brenton Kenkel |
| POMADE | 0.2.0 | Power for Meta-Analysis of Dependent Effects | Mikkel H. Vembye |
| POMaSPU | 1.0.0 | Adaptive Association Tests for Multiple Phenotypes using
Proportional Odds Model (POM-aSPU) | Junghi Kim |
| pomcheckr | 0.1.1 | Graphical Check for Proportional Odds Assumption | Melissa Wong |
| pomdp | 1.2.1 | Infrastructure for Partially Observable Markov Decision
Processes (POMDP) | Michael Hahsler |
| pomdpSolve | 1.0.4 | Interface to 'pomdp-solve' for Partially Observable Markov
Decision Processes | Michael Hahsler |
| Pomic | 1.0.4 | Pattern Oriented Modelling Information Criterion | Cyril Piou |
| pomodoro | 3.8.0 | Predictive Power of Linear and Tree Modeling | Seyma Kalay |
| pomp | 5.7 | Statistical Inference for Partially Observed Markov Processes | Aaron A. King |
| pompom | 0.2.1 | Person-Oriented Method and Perturbation on the Model | Xiao Yang |
| pompp | 0.1.3 | Presence-Only for Marked Point Process | Guido Alberti Moreira |
| POMS | 1.0.1 | Phylogenetic Organization of Metagenomic Signals | Gavin Douglas |
| pooh | 0.3-2 | Partial Orders and Relations | Charles J. Geyer |
| pool | 1.0.3 | Object Pooling | Hadley Wickham |
| poolABC | 1.0.0 | Approximate Bayesian Computation with Pooled Sequencing Data | João Carvalho |
| PoolBal | 0.1-0 | Balancing Central and Marginal Rejection of Pooled p-Values | Chris Salahub |
| PoolDilutionR | 1.0.0 | Calculate Gross Biogeochemical Flux Rates from Isotope Pool
Dilution Data | Kendalynn A. Morris |
| PooledCohort | 0.0.2 | Predicted Risk for CVD using Pooled Cohort Equations, PREVENT
Equations, and Other Contemporary CVD Risk Calculators | Byron Jaeger |
| PooledMeanGroup | 1.0 | Pooled Mean Group Estimation of Dynamic Heterogenous Panels | Lech Kujawski |
| poolfstat | 2.2.0 | Computing f-Statistics and Building Admixture Graphs Based on
Allele Count or Pool-Seq Read Count Data | Mathieu Gautier |
| poolHelper | 1.1.0 | Simulates Pooled Sequencing Genetic Data | João Carvalho |
| pooling | 1.1.2 | Fit Poolwise Regression Models | Dane R. Van Domelen |
| poolr | 1.1-1 | Methods for Pooling P-Values from (Dependent) Tests | Ozan Cinar |
| PoolTestR | 0.1.3 | Prevalence and Regression for Pool-Tested (Group-Tested) Data | Angus McLure |
| poolVIM | 1.0.0 | Gene-Based Association Tests using the Actual Impurity Reduction
(AIR) Variable Importance | Stefano Nembrini |
| poorman | 0.2.7 | A Poor Man's Dependency Free Recreation of 'dplyr' | Nathan Eastwood |
| pop | 0.1 | A Flexible Syntax for Population Dynamic Modelling | Nick Golding |
| pop.lion | 1.0.1 | Models for Simulating Lion Populations | Guillaume Chapron |
| pop.wolf | 1.0 | Models for Simulating Wolf Populations | Guillaume Chapron |
| popbayes | 1.2.0 | Bayesian Model to Estimate Population Trends from Counts Series | Nicolas Casajus |
| popbio | 2.8 | Construction and Analysis of Matrix Population Models | Chris Stubben |
| popdemo | 1.3-1 | Demographic Modelling Using Projection Matrices | Iain Stott |
| PoPdesign | 1.0.4 | Posterior Predictive (PoP) Design for Phase I Clinical Trials | Xinying Fang |
| PopED | 0.6.0 | Population (and Individual) Optimal Experimental Design | Andrew C. Hooker |
| popEpi | 0.4.11 | Functions for Epidemiological Analysis using Population Data | Joonas Miettinen |
| PopGenHelpR | 1.2.1 | Streamline Population Genomic and Genetic Analyses | Keaka Farleigh |
| popgenr | 0.2 | Accompaniment to Population Genetics with R: An Introduction for
Life Scientists | Aki Jarl Laruson |
| PopGenReport | 3.1 | A Simple Framework to Analyse Population and Landscape Genetic
Data | Bernd Gruber |
| POPInf | 1.0.0 | Assumption-Lean and Data-Adaptive Post-Prediction Inference | Jiacheng Miao |
| popkin | 1.3.23 | Estimate Kinship and FST under Arbitrary Population Structure | Alejandro Ochoa |
| popPCR | 0.1.1.1 | Classify Digital PCR Droplets by Fitting Fluorescence
Populations | Joyce Emlyn Guiao |
| poppr | 2.9.6 | Genetic Analysis of Populations with Mixed Reproduction | Zhian N. Kamvar |
| popPyramid | 0.1.1 | Population Pyramids | Jorge L. C. Musaja |
| popReconstruct | 1.0-6 | Reconstruct Human Populations of the Recent Past | "Mark C. Wheldon" |
| popstudy | 1.0.1 | Applied Techniques to Demographic and Time Series Analysis | Cesar Gamboa-Sanabria |
| poptrend | 0.2.0 | Estimate Smooth and Linear Trends from Population Count Survey
Data | Jonas Knape |
| population | 0.3 | Models for Simulating Populations | Guillaume Chapron |
| PopulationGrowthR | 0.1.1 | Linear Population Growth Scenarios | Biman Chakraborty |
| populationPDXdesign | 1.0.3 | Designing Population PDX Studies | Maria Luisa Guerriero |
| populR | 0.2.1 | Population Downscaling Using Areal Interpolation | Marios Batsaris |
| PopVar | 1.3.1 | Genomic Breeding Tools: Genetic Variance Prediction and
Cross-Validation | Jeffrey Neyhart |
| porridge | 0.3.3 | Ridge-Type Penalized Estimation of a Potpourri of Models | Wessel N. van Wieringen |
| port4me | 0.7.1 | Get the Same, Personal, Free 'TCP' Port over and over | Henrik Bengtsson |
| PortalHacienda | 0.1.7 | Acceder Con R a Los Datos Del Portal De Hacienda | Fernando Garcia Diaz |
| portalr | 0.4.1 | Create Useful Summaries of the Portal Data | Glenda M. Yenni |
| portes | 6.0 | Portmanteau Tests for Time Series Models | Esam Mahdi |
| portfolio | 0.5-2 | Analysing Equity Portfolios | Daniel Gerlanc |
| portfolio.optimization | 1.0-0 | Contemporary Portfolio Optimization | Ronald Hochreiter |
| PortfolioAnalytics | 1.1.0 | Portfolio Analysis, Including Numerical Methods for Optimization
of Portfolios | Brian G. Peterson |
| portfolioBacktest | 0.4.1 | Automated Backtesting of Portfolios over Multiple Datasets | Daniel P. Palomar |
| PortfolioOptim | 1.1.1 | Small/Large Sample Portfolio Optimization | Andrzej Palczewski |
| portion | 0.1.0 | Extracting a Data Portion | Lennart Oelschläger |
| portn | 1.0.0 | Portfolio Analysis for Nature | Seong Yun |
| PortRisk | 1.1.0 | Portfolio Risk Analysis | Sourish Das |
| portsort | 0.1.0 | Factor-Based Portfolio Sorts | Alex Dickerson |
| portvine | 1.0.3 | Vine Based (Un)Conditional Portfolio Risk Measure Estimation | Emanuel Sommer |
| POSetR | 1.1.4 | Partially Ordered Sets in R | Alberto Arcagni |
| PoSI | 1.1 | Valid Post-Selection Inference for Linear LS Regression | Wan Zhang |
| posologyr | 1.2.4 | Individual Dose Optimization using Population Pharmacokinetics | Cyril Leven |
| PosRatioDist | 1.2.1 | Quotient of Random Variables Conditioned to the Positive
Quadrant | Yuancheng Si |
| POSSA | 0.6.4 | Power Simulation for Sequential Analyses and Multiple Hypotheses | Gáspár Lukács |
| postcards | 0.2.3 | Create Beautiful, Simple Personal Websites | Sean Kross |
| PostcodesioR | 0.3.1 | API Wrapper Around 'Postcodes.io' | Eryk Walczak |
| postdoc | 1.2.2 | Minimal and Uncluttered Package Documentation | Jeroen Ooms |
| posterdown | 1.0 | Generate PDF Conference Posters Using R Markdown | Brent Thorne |
| posterior | 1.5.0 | Tools for Working with Posterior Distributions | Paul-Christian Bürkner |
| PosteriorBootstrap | 0.1.2 | Non-Parametric Sampling with Parallel Monte Carlo | James Robinson |
| postGGIR | 2.4.0.2 | Data Processing after Running 'GGIR' for Accelerometer Data | Wei Guo |
| postHoc | 0.1.3 | Tools for Post-Hoc Analysis | Rodrigo Labouriau |
| postinfectious | 0.1.0 | Estimating the Incubation Period Distribution of Post-Infectious
Syndrome | Char Leung |
| postlightmercury | 1.2 | Parses Web Pages using Postlight Mercury | Mikkel Freltoft Krogsholm |
| postlogic | 0.1.0.1 | Infix and Postfix Logic Operators | Andrew Redd |
| POSTm | 1.3 | Phylogeny-Guided OTU-Specific Association Test for Microbiome
Data | Shannon T. Holloway |
| postpack | 0.5.4 | Utilities for Processing Posterior Samples Stored in
'mcmc.lists' | Ben Staton |
| POT | 1.1-10 | Generalized Pareto Distribution and Peaks Over Threshold | Christophe Dutang |
| potential | 0.2.0 | Implementation of the Potential Model | Timothée Giraud |
| potions | 0.2.0 | Easy Options Management | Martin Westgate |
| potools | 0.2.4 | Tools for Internationalization and Portability in R Packages | Michael Chirico |
| potts | 0.5-11 | Markov Chain Monte Carlo for Potts Models | Charles J. Geyer |
| PottsUtils | 0.3-3 | Utility Functions of the Potts Models | Dai Feng |
| pould | 1.0.1 | Phased or Unphased Linkage Disequilibrium | Steven Mack |
| POUMM | 2.1.7 | The Phylogenetic Ornstein-Uhlenbeck Mixed Model | Venelin Mitov |
| POV | 0.1.4 | Partition of Variation Variance Component Analysis Method | Paul Deen |
| povmap | 1.0.1 | Extension to the 'emdi' Package | Ifeanyi Edochie |
| pow.int | 1.3 | Binary Exponentiation | Jonathan Debove |
| powdist | 0.1.4 | Power and Reversal Power Distributions | Susan Anyosa |
| powdR | 1.3.0 | Full Pattern Summation of X-Ray Powder Diffraction Data | Benjamin Butler |
| Power2Stage | 0.5-4 | Power and Sample-Size Distribution of 2-Stage Bioequivalence
Studies | Detlew Labes |
| powerbiR | 0.1.0 | An Interface to the 'Power BI REST APIs' | Christian Vermehren |
| powerbydesign | 1.0.5 | Power Estimates for ANOVA Designs | Frank Papenmeier |
| powerCompRisk | 1.0.1 | Power Analysis Tool for Joint Testing Hazards with Competing
Risks Data | Eric Kawaguchi |
| powerEQTL | 0.3.4 | Power and Sample Size Calculation for Bulk Tissue and
Single-Cell eQTL Analysis | Weiliang Qiu |
| powerGWASinteraction | 1.1.3 | Power Calculations for GxE and GxG Interactions for GWAS | Charles Kooperberg |
| powerindexR | 1.5 | Measuring the Power in Voting Systems | Livino M. Armijos-Toro |
| powerjoin | 0.1.0 | Extensions of 'dplyr' and 'fuzzyjoin' Join Functions | Antoine Fabri |
| powerLATE | 0.1.1 | Generalized Power Analysis for LATE | Eddie Yang |
| poweRlaw | 0.80.0 | Analysis of Heavy Tailed Distributions | Colin Gillespie |
| powerly | 1.8.6 | Sample Size Analysis for Psychological Networks and More | Mihai Constantin |
| powerMediation | 0.3.4 | Power/Sample Size Calculation for Mediation Analysis | Weiliang Qiu |
| PowerNormal | 1.2.0 | Power Normal Distribution | Gualberto Segundo Agamez Montalvo |
| powerpkg | 1.6 | Power Analyses for the Affected Sib Pair and the TDT Design | Daniel E. Weeks |
| powerPLS | 0.1.0 | Power Analysis for PLS Classification | Angela Andreella |
| PowerSDI | 1.0.0 | Calculate Standardised Drought Indices Using NASA POWER Data | Gabriel Constantino Blain |
| powerSurvEpi | 0.1.3 | Power and Sample Size Calculation for Survival Analysis of
Epidemiological Studies | Weiliang Qiu |
| PowerTOST | 1.5-6 | Power and Sample Size for (Bio)Equivalence Studies | Detlew Labes |
| PowerUpR | 1.1.0 | Power Analysis Tools for Multilevel Randomized Experiments | Metin Bulus |
| powRICLPM | 0.1.1 | Perform Power Analysis for the Random Intercept Cross-Lagged
Panel Model | Jeroen Mulder |
| PP | 0.6.3-11 | Person Parameter Estimation | Jan Steinfeld |
| ppcc | 1.2 | Probability Plot Correlation Coefficient Test | Thorsten Pohlert |
| PPCI | 0.1.5 | Projection Pursuit for Cluster Identification | David Hofmeyr |
| ppclust | 1.1.0.1 | Probabilistic and Possibilistic Cluster Analysis | Zeynel Cebeci |
| ppcor | 1.1 | Partial and Semi-Partial (Part) Correlation | Seongho Kim |
| ppcSpatial | 0.3.0 | Spatial Analysis of Pakistan Population Census | Muhammad Yaseen |
| ppdiag | 0.1.1 | Diagnosis and Visualizations Tools for Temporal Point Processes | Owen G. Ward |
| ppendemic | 0.1.7 | A Glimpse at the Diversity of Peru's Endemic Plants | Paul E. Santos Andrade |
| PPforest | 0.1.3 | Projection Pursuit Classification Forest | Natalia da Silva |
| ppgam | 1.0.1 | Generalised Additive Point Process Models | Ben Youngman |
| ppgmmga | 1.3 | Projection Pursuit Based on Gaussian Mixtures and Evolutionary
Algorithms | Luca Scrucca |
| ppitables | 0.5.4 | Lookup Tables to Generate Poverty Likelihoods and Rates using
the Poverty Probability Index (PPI) | Ernest Guevarra |
| PPLasso | 2.0 | Prognostic Predictive Lasso for Biomarker Selection | Wencan Zhu |
| ppmf | 0.1.3 | Read Census Privacy Protected Microdata Files | Christopher T. Kenny |
| ppmHR | 1.0 | Privacy-Protecting Hazard Ratio Estimation in Distributed Data
Networks | Di Shu |
| PPMiss | 0.1.1 | Copula-Based Estimator for Long-Range Dependent Processes under
Missing Data | Taiane Schaedler Prass |
| ppmlasso | 1.4 | Point Process Models with LASSO-Type Penalties | Ian Renner |
| PPMR | 1.0 | Probabilistic Two Sample Mendelian Randomization | Michael Kleinsasser |
| ppmSuite | 0.3.4 | A Collection of Models that Employ Product Partition
Distributions as a Prior on Partitions | Garritt L. Page |
| PPQplan | 1.1.0 | Process Performance Qualification (PPQ) Plans in Chemistry,
Manufacturing and Controls (CMC) Statistical Analysis | Yalin Zhu |
| ppRep | 0.42.3 | Analysis of Replication Studies using Power Priors | Samuel Pawel |
| PPRL | 0.3.8 | Privacy Preserving Record Linkage | Dorothea Rukasz |
| pps | 1.0 | PPS Sampling | Jack G. Gambino |
| ppsbm | 0.2.2 | Clustering in Longitudinal Networks | Daphné Giorgi |
| ppseq | 0.2.4 | Design Clinical Trials using Sequential Predictive Probability
Monitoring | Emily C. Zabor |
| PPSFS | 0.1.0 | Partial Profile Score Feature Selection in High-Dimensional
Generalized Linear Interaction Models | Zengchao Xu |
| ppsr | 0.0.5 | Predictive Power Score | Paul van der Laken |
| PPTcirc | 0.2.3 | Projected Polya Tree for Circular Data | Karla Mayra Perez |
| PPtreeregViz | 2.0.5 | Projection Pursuit Regression Tree Visualization | HyunSun Cho |
| PPtreeViz | 2.0.4 | Projection Pursuit Classification Tree Visualization | Eun-Kyung Lee |
| pqantimalarials | 0.2 | web tool for estimating under-five deaths caused by poor-quality
antimalarials in sub-Saharan Africa | J. Patrick Renschler |
| PQLseq | 1.2.1 | Efficient Mixed Model Analysis of Count Data in Large-Scale
Genomic Sequencing Studies | Jiaqiang Zhu |
| pqrBayes | 1.0.2 | Bayesian Penalized Quantile Regression | Cen Wu |
| pqrfe | 1.1 | Penalized Quantile Regression with Fixed Effects | Ian Meneghel Danilevicz |
| praatpicture | 1.0.0 | 'Praat Picture' Style Plots of Acoustic Data | Rasmus Puggaard-Rode |
| prabclus | 2.3-3 | Functions for Clustering and Testing of Presence-Absence,
Abundance and Multilocus Genetic Data | Christian Hennig |
| pracma | 2.4.4 | Practical Numerical Math Functions | Hans W. Borchers |
| pracpac | 0.2.0 | Practical 'R' Packaging in 'Docker' | VP Nagraj |
| PracticalEquiDesign | 0.0.3 | Design of Practical Equivalence Trials | Zachary McCaw |
| practicalSigni | 0.1.2 | Practical Significance Ranking of Regressors and Exact t Density | Hrishikesh Vinod |
| PracTools | 1.4.3 | Designing and Weighting Survey Samples | Richard Valliant |
| prais | 1.1.2 | Prais-Winsten Estimator for AR(1) Serial Correlation | Franz X. Mohr |
| praise | 1.0.0 | Praise Users | Gabor Csardi |
| PRANA | 1.0.4 | Pseudo-Value Regression Approach for Network Analysis (PRANA) | Seungjun Ahn |
| praznik | 11.0.0 | Tools for Information-Based Feature Selection and Scoring | Miron B. Kursa |
| prcbench | 1.1.8 | Testing Workbench for Precision-Recall Curves | Takaya Saito |
| prclust | 1.3 | Penalized Regression-Based Clustering Method | Chong Wu |
| prcr | 0.2.1 | Person-Centered Analysis | Joshua M Rosenberg |
| PRDA | 1.0.0 | Conduct a Prospective or Retrospective Design Analysis | Claudio Zandonella Callegher |
| pre | 1.0.7 | Prediction Rule Ensembles | Marjolein Fokkema |
| PRECAST | 1.6.5 | Embedding and Clustering with Alignment for Spatial Datasets | Wei Liu |
| precintcon | 2.3.0 | Precipitation Intensity, Concentration and Anomaly Analysis | Lucas Venezian Povoa |
| pRecipe | 3.0.1-3 | Precipitation R Recipes | Mijael Rodrigo Vargas Godoy |
| precisely | 0.1.2 | Estimate Sample Size Based on Precision Rather than Power | Malcolm Barrett |
| precisePlacement | 0.1.0 | Suite of Functions to Help Get Plot Elements Exactly Where You
Want Them | Jasper Watson |
| PreciseSums | 0.6 | Accurate Floating Point Sums and Products | Matthew Fidler |
| precmed | 1.0.0 | Precision Medicine | Thomas Debray |
| precommit | 0.4.1 | Pre-Commit Hooks | Lorenz Walthert |
| precondition | 0.1.0 | Lightweight Precondition, Postcondition, and Sanity Checks | Taras Zakharko |
| precrec | 0.14.4 | Calculate Accurate Precision-Recall and ROC (Receiver Operator
Characteristics) Curves | Takaya Saito |
| PredCRG | 1.0.2 | Computational Prediction of Proteins Encoded by Circadian Genes | Prabina Kumar Meher |
| predfairness | 0.1.0 | Discrimination Mitigation for Machine Learning Models | Thaís de Bessa Gontijo de Oliveira |
| predhy | 2.1.0 | Genomic Prediction of Hybrid Performance | Yang Xu |
| predhy.GUI | 1.0 | Genomic Prediction of Hybrid Performance with Graphical User
Interface | Yuxiang Zhang |
| predict3d | 0.1.5 | Draw Three Dimensional Predict Plot Using Package 'rgl' | Keon-Woong Moon |
| PredictABEL | 1.2-4 | Assessment of Risk Prediction Models | Suman Kundu |
| prediction | 0.3.14 | Tidy, Type-Safe 'prediction()' Methods | Thomas J. Leeper |
| predictionInterval | 1.0.0 | Prediction Interval Functions for Assessing Replication Study
Results | David Stanley |
| PredictionR | 1.0-12 | Prediction for Future Data from any Continuous Distribution | Hadeer A. Ghonem |
| predictMe | 0.1 | Visualize Individual Prediction Performance | Marcel Miché |
| predictmeans | 1.1.0 | Predicted Means for Linear and Semiparametric Models | Dongwen Luo |
| predictNMB | 0.2.1 | Evaluate Clinical Prediction Models by Net Monetary Benefit | Rex Parsons |
| predictoR | 3.0.3 | Predictive Data Analysis System | Oldemar Rodriguez |
| predictrace | 2.0.1 | Predict the Race and Gender of a Given Name Using Census and
Social Security Administration Data | Jacob Kaplan |
| predicts | 0.1-11 | Spatial Prediction Tools | Robert J. Hijmans |
| predieval | 0.1.1 | Assessing Performance of Prediction Models for Predicting
Patient-Level Treatment Benefit | Orestis Efthimiou |
| predint | 2.2.1 | Prediction Intervals | Max Menssen |
| predkmeans | 0.1.1 | Covariate Adaptive Clustering | Joshua Keller |
| PredPsych | 0.4 | Predictive Approaches in Psychology | Atesh Koul |
| predReliability | 0.1.0 | Estimates Reliability of Individual Supervised Learning
Predictions | Simon Cof |
| predRupdate | 0.1.1 | Prediction Model Validation and Updating | Glen P. Martin |
| predtools | 0.0.3 | Prediction Model Tools | Amin Adibi |
| predtoolsTS | 0.1.1 | Time Series Prediction Tools | Alberto Vico Moreno |
| pref | 0.4.0 | Preference Voting with Explanatory Graphics | Denis Mollison |
| prefeR | 0.1.3 | R Package for Pairwise Preference Elicitation | John Lepird |
| preferably | 0.4.1 | A 'pkgdown' Template | Amir Masoud Abdol |
| preference | 1.1.6 | 2-Stage Preference Trial Design and Analysis | Michael Kane |
| prefio | 0.1.1 | Structures for Preference Data | Floyd Everest |
| prefmod | 0.8-36 | Utilities to Fit Paired Comparison Models for Preferences | Marco Johannes Maier |
| PreKnitPostHTMLRender | 0.1.0 | Pre-Knitting Processing and Post HTML-Rendering Processing | Chin Soon Lim |
| PReMiuM | 3.2.13 | Dirichlet Process Bayesian Clustering, Profile Regression | Silvia Liverani |
| prenoms | 0.0.1 | Names Given to Babies in Quebec Between 1980 and 2020 | Marc-Andre Desautels |
| prepdat | 1.0.8 | Preparing Experimental Data for Statistical Analysis | Ayala S. Allon |
| pRepDesigns | 1.2.0 | Partially Replicated (p-Rep) Designs | Vinaykumar L.N. |
| prepplot | 1.0-1 | Prepare Figure Region for Base Graphics | Ulrike Groemping |
| PreProcess | 3.1.7 | Basic Functions for Pre-Processing Microarrays | Kevin R. Coombes |
| PreProcessing | 0.1.0 | Various Preprocessing Transformations of Numeric Data Matrices | Swamiji Pravedson |
| PreProcessRecordLinkage | 1.0.1 | Preprocessing Record Linkage | Leila Marvian Mashhad |
| PREPShiny | 0.1.0 | Interactive Document for Preprocessing the Dataset | Kartikeya Bolar |
| preputils | 1.0.3 | Utilities for Preparation of Data Analysis | Josef Frank |
| prereg | 0.6.0 | R Markdown Templates to Preregister Scientific Studies | Frederik Aust |
| preregr | 0.2.9 | Specify (Pre)Registrations and Export Them Human- And
Machine-Readably | Gjalt-Jorn Peters |
| PresenceAbsence | 1.1.11 | Presence-Absence Model Evaluation | Elizabeth Freeman |
| presens | 2.1.0 | Interface for PreSens Fiber Optic Data | Matthew A. Birk |
| presenter | 0.1.2 | Present Data with Style | Harrison Tietze |
| presentes | 0.1.0 | Registry of Victims of State Terrorism in Argentina | Diego Kozlowski |
| preseqR | 4.0.0 | Predicting Species Accumulation Curves | Chao Deng |
| PResiduals | 1.0-1 | Probability-Scale Residuals and Residual Correlations | Chun Li |
| presize | 0.3.7 | Precision Based Sample Size Calculation | Alan G. Haynes |
| presmTP | 1.1.0 | Methods for Transition Probabilities | Gustavo Soutinho |
| PressPurt | 1.0.2 | Indeterminacy of Networks via Press Perturbations | David Koslicki |
| pressuRe | 0.2.3 | Imports, Processes, and Visualizes Biomechanical Pressure Data | Scott Telfer |
| pretest | 0.2 | A Novel Approach to Predictive Accuracy Testing in Nested
Environments | Rong Peng |
| prettifyAddins | 2.6.1 | 'RStudio' Addins to Prettify 'JavaScript', 'C++', 'Python', and
More | Stéphane Laurent |
| prettyB | 0.2.2 | Pretty Base Graphics | Colin Gillespie |
| prettycode | 1.1.0 | Pretty Print R Code in the Terminal | Gábor Csárdi |
| PrettyCols | 1.0.1 | Pretty Colour Palettes | Nicola Rennie |
| prettydoc | 0.4.1 | Creating Pretty Documents from R Markdown | Yixuan Qiu |
| prettyglm | 1.0.1 | Pretty Summaries of Generalized Linear Model Coefficients | Jared Fowler |
| prettyGraphs | 2.1.6 | Publication-Quality Graphics | Derek Beaton |
| prettymapr | 0.2.5 | Scale Bar, North Arrow, and Pretty Margins in R | Dewey Dunnington |
| prettyR | 2.2-3 | Pretty Descriptive Stats | Jim Lemon |
| prettyunits | 1.2.0 | Pretty, Human Readable Formatting of Quantities | Gabor Csardi |
| prevalence | 0.4.1 | Tools for Prevalence Assessment Studies | Brecht Devleesschauwer |
| prevederer | 0.0.1 | Wrapper for the 'Prevedere' API | Wil Davis |
| preventr | 0.9.0 | An Implementation of the AHA PREVENT Equations | Martin Mayer |
| previsionio | 11.7.0 | 'Prevision.io' R SDK | Florian Laroumagne |
| PrevMap | 1.5.4 | Geostatistical Modelling of Spatially Referenced Prevalence Data | Emanuele Giorgi |
| prevR | 5.0.0 | Estimating Regional Trends of a Prevalence from a DHS and
Similar Surveys | Joseph Larmarange |
| prevtoinc | 0.12.0 | Prevalence to Incidence Calculations for Point-Prevalence
Studies in a Nosocomial Setting | Niklas Willrich |
| pRF | 1.2 | Permutation Significance for Random Forests | Ankur Chakravarthy |
| PriceIndices | 0.1.9 | Calculating Bilateral and Multilateral Price Indexes | Jacek Białek |
| pricelevels | 1.2.0 | Spatial Price Level Comparisons | Sebastian Weinand |
| priceR | 1.0.1 | Economics and Pricing Tools | Steve Condylios |
| pricesensitivitymeter | 1.3.0 | Van Westendorp Price Sensitivity Meter Analysis | Max Alletsee |
| prim | 1.0.21 | Patient Rule Induction Method (PRIM) | Tarn Duong |
| PRIMAL | 1.0.2 | Parametric Simplex Method for Sparse Learning | Zichong Li |
| primate | 0.2.0 | Tools and Methods for Primatological Data Science | David Schruth |
| primefactr | 0.1.1 | Use Prime Factorization for Computations | Florian Privé |
| primePCA | 1.2 | Projected Refinement for Imputation of Missing Entries in PCA | Ziwei Zhu |
| PRIMEplus | 1.0.16 | Study Design for Immunotherapy Clinical Trials | Bill Wheeler |
| primer | 1.2.0 | Functions and Data for the Book, a Primer of Ecology with R | Hank Stevens |
| primerTree | 1.0.6 | Visually Assessing the Specificity and Informativeness of Primer
Pairs | Matt Cannon |
| primes | 1.6.0 | Fast Functions for Prime Numbers | Os Keyes |
| PRIMME | 3.2-6 | Eigenvalues and Singular Values and Vectors from Large Matrices | Eloy Romero |
| princurve | 2.1.6 | Fit a Principal Curve in Arbitrary Dimension | Robrecht Cannoodt |
| PrInDT | 1.0.1 | Prediction and Interpretation in Decision Trees for
Classification and Regression | Claus Weihs |
| printr | 0.3 | Automatically Print R Objects to Appropriate Formats According
to the 'knitr' Output Format | Yihui Xie |
| prinvars | 1.0.0 | Principal Variables | Ron Holzapfel |
| prioGene | 1.0.1 | Candidate Gene Prioritization for Non-Communicable Diseases
Based on Functional Information | Erqiang Hu <13766876214 at 163.com> |
| PriorGen | 2.0 | Generates Prior Distributions for Proportions | Konstantinos Pateras |
| prioriactions | 0.5.0 | Multi-Action Conservation Planning | Jose Salgado-Rojas |
| prioritizr | 8.0.3 | Systematic Conservation Prioritization in R | Richard Schuster |
| prioritizrdata | 0.3.2 | Conservation Planning Datasets | Richard Schuster |
| prioritylasso | 0.3.1 | Analyzing Multiple Omics Data with an Offset Approach | Roman Hornung |
| prism | 0.2.1 | Access Data from the Oregon State Prism Climate Project | Alan Butler |
| PRISM.forecast | 0.2.1 | Penalized Regression with Inferred Seasonality Module -
Forecasting Unemployment Initial Claims using 'Google Trends'
Data | Dingdong Yi |
| PRISMA | 0.2-7 | Protocol Inspection and State Machine Analysis | Tammo Krueger |
| PRISMA2020 | 1.1.1 | Make Interactive 'PRISMA' Flow Diagrams | Chris Pritchard |
| prismadiagramR | 1.0.0 | Creates a Prisma Diagram using 'DiagrammeR' | Lionel Duarte |
| PRISMAstatement | 1.1.1 | Plot Flow Charts According to the "PRISMA" Statement | Jack O. Wasey |
| prismatic | 1.1.1 | Color Manipulation Tools | Emil Hvitfeldt |
| prismjs | 1.1.0 | Server-Side Syntax Highlighting | Jeroen Ooms |
| prisonbrief | 0.1.2 | Downloads and Parses World Prison Brief Data | Danilo Freire |
| prithulib | 1.0.2 | Perform Random Experiments | Prithul Chaturvedi |
| PrivateLR | 1.2-22 | Differentially Private Regularized Logistic Regression | Staal A. Vinterbo |
| prnsamplr | 0.3.0 | Permanent Random Number Sampling | Kira Coder Gylling |
| pro | 0.1.1 | Point-Process Response Model for Optogenetics | Xi (Rossi) LUO |
| ProAE | 0.2.15 | PRO-CTCAE Scoring, Analysis, and Graphical Tools | Blake Langlais |
| probably | 1.0.3 | Tools for Post-Processing Predicted Values | Max Kuhn |
| ProbBayes | 1.1 | Probability and Bayesian Modeling | Jim Albert |
| ProbBreed | 1.0.3.2 | Probability Theory for Selecting Candidates in Plant Breeding | Saulo Chaves |
| probe | 1.1 | Sparse High-Dimensional Linear Regression with PROBE | Alexander McLain |
| ProbeDeveloper | 1.1.0 | Develop Hybridization Probes | Junhui Li |
| ProbitSpatial | 1.1 | Probit with Spatial Dependence, SAR, SEM and SARAR Models | Davide Martinetti |
| ProbMarg | 1.0.1 | Computing Logit & Probit Predicted Probabilities & Marginal
Effects | Tim Liao |
| probout | 1.1.2 | Unsupervised Multivariate Outlier Probabilities for Large
Datasets | Chris Fraley |
| ProbSamplingI | 2.0 | Probabilistic Sampling Design and Strategies | Jorge Barón |
| PROBShiny | 0.1.0 | Interactive Document for Working with Basic Probability | Kartikeya Bolar |
| ProbYX | 1.1-0.1 | Inference for the Stress-Strength Model R = P(Y | Giuliana Cortese |
| pROC | 1.18.5 | Display and Analyze ROC Curves | Xavier Robin |
| proccalibrad | 0.14 | Extraction of Bands from MODIS Calibrated Radiances MOD02 NRT | Rishabh Gupta |
| ProcData | 0.3.2 | Process Data Analysis | Xueying Tang |
| proceduralnames | 0.2.2 | Several Methods for Procedural Name Generation | Michael Mahoney |
| processanimateR | 1.0.5 | Process Map Token Replay Animation | Felix Mannhardt |
| processcheckR | 0.1.4 | Rule-Based Conformance Checking of Business Process Event Data | Gert Janssenswillen |
| processmapR | 0.5.3 | Construct Process Maps Using Event Data | Gert Janssenswillen |
| processmonitR | 0.1.0 | Building Process Monitoring Dashboards | gert.janssenswillen at uhasselt.be |
| processpredictR | 0.1.0 | Process Prediction | Gert Janssenswillen |
| processx | 3.8.4 | Execute and Control System Processes | Gábor Csárdi |
| procmaps | 0.0.5 | Portable Address Space Mapping | Kirill Müller |
| ProcMod | 1.0.8 | Informative Procrustean Matrix Correlation | Eric Coissac |
| procs | 1.0.6 | Recreates Some 'SAS®' Procedures in 'R' | David Bosak |
| ProDenICA | 1.1 | Product Density Estimation for ICA using Tilted Gaussian Density
Estimates | Trevor Hastie |
| prodest | 1.0.1 | Production Function Estimation | Gabriele Rovigatti |
| prodigenr | 0.6.2 | Research Project Directory Generator | Luke Johnston |
| prodlim | 2023.08.28 | Product-Limit Estimation for Censored Event History Analysis | Thomas A. Gerds |
| productivity | 1.1.0 | Indices of Productivity Using Data Envelopment Analysis (DEA) | Yann Desjeux |
| productplots | 0.1.1 | Product Plots for R | Hadley Wickham |
| ProFAST | 1.4 | Probabilistic Factor Analysis for Spatially-Aware Dimension
Reduction | Wei Liu |
| ProfessR | 2.4-3 | Grades Setting and Exam Maker | Jonathan M. Lees |
| profExtrema | 0.2.1 | Compute and Visualize Profile Extrema Functions | Dario Azzimonti |
| proffer | 0.1.6 | Profile R Code and Visualize with 'Pprof' | William Michael Landau |
| profile | 1.0.3 | Read, Manipulate, and Write Profiler Data | Kirill Müller |
| ProfileLikelihood | 1.3 | Profile Likelihood for a Parameter in Commonly Used Statistical
Models | Leena Choi |
| profileModel | 0.6.1 | Profiling Inference Functions for Various Model Classes | Ioannis Kosmidis |
| profileR | 0.3-5 | Profile Analysis of Multivariate Data in R | Christopher David Desjardins |
| profiplots | 0.2.3 | Profinit Plotting Theme | Dominik Matula |
| profmem | 0.6.0 | Simple Memory Profiling for R | Henrik Bengtsson |
| profoc | 1.3.2 | Probabilistic Forecast Combination Using CRPS Learning | Jonathan Berrisch |
| ProfoundData | 0.2.1 | Downloading and Exploring Data from the PROFOUND Database | Florian Hartig |
| profr | 0.3.3 | An Alternative Display for Profiling Information | Hadley Wickham |
| profrep | 1.0.0 | Profile Repeatability | Ursula K. Beattie |
| proftools | 0.99-3 | Profile Output Processing Tools for R | Luke Tierney |
| profvis | 0.3.8 | Interactive Visualizations for Profiling R Code | Winston Chang |
| progenyClust | 1.2 | Finding the Optimal Cluster Number Using Progeny Clustering | C.W. Hu |
| progress | 1.2.3 | Terminal Progress Bars | Gábor Csárdi |
| progressr | 0.14.0 | An Inclusive, Unifying API for Progress Updates | Henrik Bengtsson |
| PROJ | 0.4.5 | Generic Coordinate System Transformations Using 'PROJ' | Michael D. Sumner |
| proj4 | 1.0-14 | A simple interface to the PROJ.4 cartographic projections
library | Simon Urbanek |
| ProjectionBasedClustering | 1.2.1 | Projection Based Clustering | Michael Thrun |
| projections | 0.6.0 | Project Future Case Incidence | Thibaut Jombart |
| ProjectManagement | 1.5.2 | Management of Deterministic and Stochastic Projects | Juan Carlos Gonçalves Dosantos |
| projects | 2.1.3 | A Project Infrastructure for Researchers | Nik Krieger |
| ProjectTemplate | 0.10.4 | Automates the Creation of New Statistical Analysis Projects | Kenton White |
| projmgr | 0.1.1 | Task Tracking and Project Management with GitHub | Emily Riederer |
| projpred | 2.8.0 | Projection Predictive Feature Selection | Frank Weber |
| ProliferativeIndex | 1.0.1 | Calculates and Analyzes the Proliferative Index | Brittany Lasseigne |
| prolific.api | 0.5.2 | A User-Friendly Interface for Accessing the Prolific API | Simon Lenau |
| prolsirm | 0.1.0 | Procrustes Matching for Latent Space Item Response Model | Jinwen Luo |
| prome | 1.9.1.0 | Patient-Reported Outcome Data Analysis with Stan | Bin Wang |
| PROMETHEE | 1.1 | Preference Ranking Organization METHod for Enrichment of
Evaluations | Francesco Vidoli |
| promethee123 | 0.1.0 | PROMETHEE I, II, and III Methods | Miguel Angelo Lellis Moreira |
| PrometheeTools | 0.1.0 | PROMETHEE and GLNF for Ranking and Sorting Problems | Felipe Barrera |
| promises | 1.3.0 | Abstractions for Promise-Based Asynchronous Programming | Joe Cheng |
| promor | 0.2.1 | Proteomics Data Analysis and Modeling Tools | Chathurani Ranathunge |
| promote | 1.1.1 | Client for the 'Alteryx Promote' API | Paul E. Promote |
| promotionImpact | 0.1.5 | Analysis & Measurement of Promotion Effectiveness | Nahyun Kim |
| prompt | 1.0.2 | Dynamic 'R' Prompt | Gábor Csárdi |
| prompter | 1.2.0 | Add Tooltips in 'Shiny' Apps with 'Hint.css' | Etienne Bacher |
| promr | 0.1.3 | Prometheus 'PromQL' Query Client for 'R' | Dom Dwyer |
| prop.comb.RR | 1.2 | Analyzing Combination of Proportions and Relative Risk | Maria Alvarez |
| propagate | 1.0-6 | Propagation of Uncertainty | Andrej-Nikolai Spiess |
| PropCIs | 0.3-0 | Various Confidence Interval Methods for Proportions | Ralph Scherer |
| PropClust | 1.4-7 | Propensity Clustering and Decomposition | Peter Langfelder |
| properties | 0.0-9 | Parse 'Java' Properties Files for 'R Service Bus' Applications | Daan Seynaeve |
| prophet | 1.0 | Automatic Forecasting Procedure | Sean Taylor |
| proporz | 1.5.0 | Proportional Apportionment | Flavio Poletti |
| propOverlap | 1.0 | Feature (gene) selection based on the Proportional Overlapping
Scores | Osama Mahmoud |
| PropScrRand | 1.1.1 | Propensity Score Methods for Assigning Treatment in Randomized
Trials | Travis Loux |
| proPubBills | 0.1 | 'ProPublica' U.S. Congress Bills API Wrapper | Nadine Fischoff |
| ProPublicaR | 1.1.4 | Access Functions for ProPublica's APIs | Aleksander Dietrichson |
| PROreg | 1.3 | Patient Reported Outcomes Regression Analysis | Josu Najera-Zuloaga |
| PROscorer | 0.0.4 | Functions to Score Commonly-Used Patient-Reported Outcome (PRO)
Measures and Other Psychometric Instruments | Ray Baser |
| PROscorerTools | 0.0.4 | Tools to Score Patient-Reported Outcome (PRO) and Other
Psychometric Measures | Ray Baser |
| PROsetta | 0.4.1 | Linking Patient-Reported Outcomes Measures | Seung W. Choi |
| ProSGPV | 1.0.0 | Penalized Regression with Second-Generation P-Values | Yi Zuo |
| prospectr | 0.2.7 | Miscellaneous Functions for Processing and Sample Selection of
Spectroscopic Data | Leonardo Ramirez-Lopez |
| PROSPER | 0.3.3 | Simulation of Weed Population Dynamics | Christoph v. Redwitz |
| protag | 1.0.0 | Search Tagged Peptides & Draw Highlighted Mass Spectra | Bo Yuan |
| protein8k | 0.0.1 | Perform Analysis and Create Visualizations of Proteins | Simon Liles |
| ProteoBayes | 1.0.0 | Bayesian Statistical Tools for Quantitative Proteomics | Arthur Leroy |
| proteomicsCV | 0.1.0 | Calculates the Percentage CV for Mass Spectrometry-Based
Proteomics Data | Alejandro Brenes |
| proteus | 1.1.4 | Multiform Seq2Seq Model for Time-Feature Analysis | Giancarlo Vercellino |
| protHMM | 0.1.1 | Protein Feature Extraction from Profile Hidden Markov Models | Shayaan Emran |
| proto | 1.0.0 | Prototype Object-Based Programming | Hadley Wickham |
| protoclust | 1.6.4 | Hierarchical Clustering with Prototypes | Jacob Bien |
| protolite | 2.3.0 | Highly Optimized Protocol Buffer Serializers | Jeroen Ooms |
| proton | 1.0 | The Proton Game | Przemysław Biecek |
| protoshiny | 0.1.0 | Interactive Dendrograms for Visualizing Hierarchical Clusters
with Prototypes | Andee Kaplan |
| prototest | 1.2 | Inference on Prototypes from Clusters of Features | Stephen Reid |
| protr | 1.7-0 | Generating Various Numerical Representation Schemes for Protein
Sequences | Nan Xiao |
| ProTrackR | 0.4.3 | Manipulate and Play 'ProTracker' Modules | Pepijn de Vries |
| protti | 0.8.0 | Bottom-Up Proteomics and LiP-MS Quality Control and Data
Analysis Tools | Jan-Philipp Quast |
| protViz | 0.7.9 | Visualizing and Analyzing Mass Spectrometry Related Data in
Proteomics | Christian Panse |
| proustr | 0.4.0 | Tools for Natural Language Processing in French | Colin Fay |
| provDebugR | 1.0.1 | A Time-Travelling Debugger | Barbara Lerner |
| provenance | 4.2 | Statistical Toolbox for Sedimentary Provenance Analysis | Pieter Vermeesch |
| proverbs | 0.4.0 | Print a Daily Bible Proverb to Console | Brad Lindblad |
| provExplainR | 1.1.1 | Compare Provenance Collections to Explain Changed Script Outputs | Barbara Lerner |
| provGraphR | 1.0.1 | Creates Adjacency Matrices for Lineage Searches | Barbara Lerner |
| provParseR | 1.0 | Pulls Information from Prov.Json Files | Barbara Lerner |
| provSummarizeR | 1.5.1 | Summarizes Provenance Related to Inputs and Outputs of a Script
or Console Commands | Emery Boose |
| provTraceR | 1.0 | Uses Provenance to Trace File Lineage for One or more R Scripts | Emery Boose |
| provViz | 1.0.9 | Provenance Visualizer | Barbara Lerner |
| proxirr | 0.4 | Alpha and Beta Proximity to Irreplaceability | Daniele Baisero |
| proxy | 0.4-27 | Distance and Similarity Measures | David Meyer |
| proxyC | 0.4.1 | Computes Proximity in Large Sparse Matrices | Kohei Watanabe |
| prozor | 0.3.1 | Minimal Protein Set Explaining Peptide Spectrum Matches | Witold Wolski |
| PRP | 0.1.1 | Bayesian Prior and Posterior Predictive Replication Assessment | Yi Zhao |
| prqlr | 0.8.0 | R Bindings for the 'prqlc' Rust Library | Tatsuya Shima |
| prrd | 0.0.6 | Parallel Runs of Reverse Depends | Dirk Eddelbuettel |
| PRROC | 1.3.1 | Precision-Recall and ROC Curves for Weighted and Unweighted Data | Jan Grau |
| PRSim | 1.5 | Stochastic Simulation of Streamflow Time Series using Phase
Randomization | Manuela Brunner |
| PRSPGx | 0.3.0 | Construct PGx PRS | Song Zhai |
| pRSR | 3.1.1 | Test of Periodicity using Response Surface Regression | M. S. Islam |
| prt | 0.2.0 | Tabular Data Backed by Partitioned 'fst' Files | Nicolas Bennett |
| PRTree | 0.1.0 | Probabilistic Regression Trees | Alisson Silva Neimaier |
| prWarp | 1.0.1 | Warping Landmark Configurations | Anne Le Maitre |
| pryr | 0.1.6 | Tools for Computing on the Language | Hadley Wickham |
| Przewodnik | 0.16.12 | Datasets and Functions Used in the Book 'Przewodnik po Pakiecie
R' | Przemyslaw Biecek |
| ps | 1.7.6 | List, Query, Manipulate System Processes | Gábor Csárdi |
| PSAboot | 1.3.8 | Bootstrapping for Propensity Score Analysis | Jason Bryer |
| PSAgraphics | 2.1.3 | Propensity Score Analysis Graphics | Jason Bryer |
| PSAWR | 0.1.0 | 'Pushshift' API Wrapper for 'Reddit' Submission and Comment
Search | David Schoch |
| psBayesborrow | 1.1.0 | Bayesian Information Borrowing with Propensity Score Matching | Yusuke Yamaguchi |
| psbcGroup | 1.7 | Penalized Parametric and Semiparametric Bayesian Survival Models
with Shrinkage and Grouping Priors | Kyu Ha Lee |
| psbcSpeedUp | 2.0.6 | Penalized Semiparametric Bayesian Cox Models | Zhi Zhao |
| psborrow | 0.2.1 | Bayesian Dynamic Borrowing with Propensity Score | Isaac Gravestock |
| psborrow2 | 0.0.3.2 | Bayesian Dynamic Borrowing Analysis and Simulation | Matt Secrest |
| PSCBS | 0.67.0 | Analysis of Parent-Specific DNA Copy Numbers | Henrik Bengtsson |
| pscl | 1.5.9 | Political Science Computational Laboratory | Simon Jackman |
| pscore | 0.4.0 | Standardizing Physiological Composite Risk Endpoints | Joshua F. Wiley |
| PScr | 1.1 | Estimation for the Power Series Cure Rate Model | Diego Gallardo |
| psd | 2.1.1 | Adaptive, Sine-Multitaper Power Spectral Density and Cross
Spectrum Estimation | Andrew J. Barbour |
| psData | 0.2.2 | Download Regularly Maintained Political Science Data Sets | Christopher Gandrud |
| PSDistr | 0.0.1 | Distributions Derived from Normal Distribution | Piotr Sulewski |
| psdr | 1.0.1 | Use Time Series to Generate and Compare Power Spectral Density | Yong-Han Hank Cheng |
| pseudo | 1.4.3 | Computes Pseudo-Observations for Modeling | Kevin Rodrigues |
| pseudohouseholds | 0.1.1 | Generate Pseudohouseholds on Road Networks in Regions | Christopher Belanger |
| pseudorank | 1.0.1 | Pseudo-Ranks | Martin Happ |
| pseval | 1.3.1 | Methods for Evaluating Principal Surrogates of Treatment
Response | Michael C Sachs |
| PSF | 0.5 | Forecasting of Univariate Time Series Using the Pattern
Sequence-Based Forecasting (PSF) Algorithm | Neeraj Bokde |
| psfmi | 1.4.0 | Prediction Model Pooling, Selection and Performance Evaluation
Across Multiply Imputed Datasets | Martijn Heymans |
| PSGD | 1.0.3 | Projected Subset Gradient Descent | Anthony Christidis |
| PSGoft | 0.0.1 | Modified Lilliefors Goodness-of-Fit Normality Test | Piotr Sulewski |
| psgp | 0.3-21 | Projected Spatial Gaussian Process Methods | Ben Ingram |
| psica | 1.0.2 | Decision Tree Analysis for Probabilistic Subgroup Identification
with Multiple Treatments | Oleg Sysoev |
| psidR | 2.1 | Build Panel Data Sets from PSID Raw Data | Florian Oswald |
| psidread | 1.0.3 | Streamline Building Panel Data from Panel Study of Income
Dynamics ('PSID') Raw Files | Shuyi Qiu |
| PSIndependenceTest | 0.0.1 | Independence Tests for Two-Way, Three-Way and Four-Way
Contingency Tables | Piotr Sulewski |
| PSinference | 0.1.0 | Inference for Released Plug-in Sampling Single Synthetic Dataset | Ricardo Moura |
| PSLM2015 | 0.2.0 | Pakistan Social and Living Standards Measurement Survey 2014-15 | Muhammad Yaseen |
| psmineR | 0.1.0 | Performance Spectrum Miner for Event Data | Gert Janssenswillen |
| pso | 1.0.4 | Particle Swarm Optimization | Claus Bendtsen |
| psoptim | 1.0 | Particle Swarm Optimization | Krzysztof Ciupke |
| psp | 1.0.0 | Parameter Space Partitioning MCMC for Global Model Evaluation | Lenard Dome |
| pspatreg | 1.1.2 | Spatial and Spatio-Temporal Semiparametric Regression Models
with Spatial Lags | Roman Minguez |
| pspearman | 0.3-1 | Spearman's Rank Correlation Test | Petr Savicky |
| pspline | 1.0-19 | Penalized Smoothing Splines | Brian Ripley |
| pspline.inference | 1.0.4 | Estimation of Characteristics of Seasonal and Sporadic
Infectious Disease Outbreaks Using Generalized Additive
Modeling with Penalized Basis Splines | Ben Artin |
| PSPManalysis | 0.3.9 | Analysis of Physiologically Structured Population Models | Andre M. de Roos |
| psqn | 0.3.1 | Partially Separable Quasi-Newton | Benjamin Christoffersen |
| PSS.Health | 1.0.2 | Power and Sample Size for Health Researchers via Shiny | Rogério Boff Borges |
| PSSIM | 0.1.0 | Test of Independence & Image Structural Similarity Measure PSSIM | Haiyan Wang |
| PSSMCOOL | 0.2.4 | Features Extracted from Position Specific Scoring Matrix (PSSM) | Alireza mohammadi |
| pssmooth | 1.0.3 | Flexible and Efficient Evaluation of Principal
Surrogates/Treatment Effect Modifiers | Michal Juraska |
| psSubpathway | 0.1.3 | Flexible Identification of Phenotype-Specific Subpathways | Junwei Han |
| PST | 0.94.1 | Probabilistic Suffix Trees and Variable Length Markov Chains | Alexis Gabadinho |
| Pstat | 1.2 | Assessing Pst Statistics | Blondeau Da Silva Stephane |
| pstest | 0.1.3.900 | Specification Tests for Parametric Propensity Score Models | Pedro H. C. Sant'Anna |
| PStrata | 0.0.5 | Principal Stratification Analysis in R | Bo Liu |
| PSW | 1.1-3 | Propensity Score Weighting Methods for Dichotomous Treatments | Huzhang Mao |
| PSweight | 1.2.0 | Propensity Score Weighting for Causal Inference with
Observational Studies and Randomized Trials | Yukang Zeng |
| psy | 1.2 | Various Procedures Used in Psychometrics | Bruno Falissard |
| psycCleaning | 0.1.1 | Data Cleaning for Psychological Analyses | Jason Moy |
| psych | 2.4.3 | Procedures for Psychological, Psychometric, and Personality
Research | William Revelle |
| psychmeta | 2.6.5 | Psychometric Meta-Analysis Toolkit | Jeffrey A. Dahlke |
| psycho | 0.6.1 | Efficient and Publishing-Oriented Workflow for Psychological
Science | Dominique Makowski |
| psychometric | 2.4 | Applied Psychometric Theory | Thomas D. Fletcher |
| psychomix | 1.1-8 | Psychometric Mixture Models | Hannah Frick |
| psychonetrics | 0.11.6 | Structural Equation Modeling and Confirmatory Network Analysis | Sacha Epskamp |
| psychotools | 0.7-3 | Psychometric Modeling Infrastructure | Achim Zeileis |
| psychotree | 0.16-0 | Recursive Partitioning Based on Psychometric Models | Achim Zeileis |
| psychReport | 3.0.2 | Reproducible Reports in Psychology | Ian G Mackenzie |
| psychrolib | 2.5.2 | Psychrometric Properties of Moist and Dry Air | Hongyuan Jia |
| psychTools | 2.4.3 | Tools to Accompany the 'psych' Package for Psychological
Research | William Revelle |
| PsychWordVec | 2023.9 | Word Embedding Research Framework for Psychological Science | Han-Wu-Shuang Bao |
| psycModel | 0.5.0 | Integrated Toolkit for Psychological Analysis and Modeling in R | Jason Moy |
| PsyControl | 1.0.0.0 | CUSUM Person Fit Statistics | Maxwell Hong |
| psymetadata | 1.0.1 | Open Datasets from Meta-Analyses in Psychology Research | Josue E. Rodriguez |
| psyntur | 0.1.0 | Helper Tools for Teaching Statistical Data Analysis | Mark Andrews |
| psyphy | 0.3 | Functions for Analyzing Psychophysical Data in R | Ken Knoblauch |
| psyverse | 0.2.6 | Decentralized Unequivocality in Psychological Science | Gjalt-Jorn Peters |
| ptable | 1.0.0 | Generation of Perturbation Tables for the Cell-Key Method | Tobias Enderle |
| PTAk | 2.0.0 | Principal Tensor Analysis on k Modes | Didier G. Leibovici |
| PTE | 1.7 | Personalized Treatment Evaluator | Adam Kapelner |
| PTERP | 1.0 | PTE and RP for Optimally-Transformed Surrogate | Layla Parast |
| ptest | 1.0-8 | Periodicity Tests in Short Time Series | A.I. McLeod |
| ptinpoly | 2.8 | Point-in-Polyhedron Test (2D and 3D) | Jose M. Maisog |
| pTITAN2 | 1.0.2 | Permutations of Treatment Labels and TITAN2 Analysis | Peter DeWitt |
| ptm | 0.2.6 | Analyses of Protein Post-Translational Modifications | Juan Carlos Aledo |
| ptmixed | 1.1.3 | Poisson-Tweedie Generalized Linear Mixed Model | Mirko Signorelli |
| ptools | 2.0.0 | Tools for Poisson Data | Andrew Wheeler |
| PtProcess | 3.3-16 | Time Dependent Point Process Modelling | David Harte |
| ptspotter | 1.0.2 | Helper Functions for Use with "ProjectTemplate" | Rich Leyshon |
| PTSR | 0.1.2 | Positive Time Series Regression | Taiane Schaedler Prass |
| pttstability | 1.4 | Particle-Takens Stability | Adam Clark |
| ptvapi | 2.0.5 | Access the 'Public Transport Victoria' Timetable API | David Neuzerling |
| ptw | 1.9-16 | Parametric Time Warping | Ron Wehrens |
| ptwikiwords | 0.0.3 | Words Used in Portuguese Wikipedia | Daniel Falbel |
| PTwins | 0.1.1 | Percentile Estimation of Fetal Weight for Twins by Chorionicity | Luis Mariano Esteban |
| PTXQC | 1.1.1 | Quality Report Generation for MaxQuant and mzTab Results | Chris Bielow |
| ptycho | 1.1-4 | Bayesian Variable Selection with Hierarchical Priors | Laurel Stell |
| PubChemR | 1.2 | Interface to the 'PubChem' Database for Chemical Data Retrieval | Selcuk Korkmaz |
| pubh | 1.3.2 | A Toolbox for Public Health and Epidemiology | Josie Athens |
| public.ctn0094data | 1.0.6 | De-Identified Data from CTN-0094 | Raymond Balise |
| public.ctn0094extra | 1.0.4 | Helper Files for the CTN-0094 Relational Database | Gabriel Odom |
| PublicationBias | 2.4.0 | Sensitivity Analysis for Publication Bias in Meta-Analyses | Peter Solymos |
| PublicWorksFinanceIT | 0.2.0 | Soil Defense Investments in Italy: Data Retrieval, Analysis,
Visualization | Lorena Ricciotti |
| publipha | 0.1.2 | Bayesian Meta-Analysis with Publications Bias and P-Hacking | Jonas Moss |
| Publish | 2023.01.17 | Format Output of Various Routines in a Suitable Way for Reports
and Publication | Thomas A. Gerds |
| pubmed.mineR | 1.0.20 | Text Mining of PubMed Abstracts | S. Ramachandran |
| PubMedMining | 1.0.0 | Text-Mining of the 'PubMed' Repository | Jeff DIDIER |
| pubmedR | 0.0.3 | Gathering Metadata About Publications, Grants, Clinical Trials
from 'PubMed' Database | Massimo Aria |
| pubmedtk | 1.0.4 | 'Pubmed' Toolkit | Benjamin Gregory Carlisle |
| PubMedWordcloud | 0.3.6 | 'Pubmed' Word Clouds | Felix Yanhui Fan |
| pubtatordb | 0.1.4 | Create and Query a Local 'PubTator' Database | Zachary Colburn |
| PUlasso | 3.2.5 | High-Dimensional Variable Selection with Presence-Only Data | Hyebin Song |
| pullword | 0.3 | R Interface to Pullword Service | Tong He |
| puls | 0.1.2 | Partitioning Using Local Subregions | Tan Tran |
| pulsar | 0.3.11 | Parallel Utilities for Lambda Selection along a Regularization
Path | Zachary Kurtz |
| pulseTD | 0.1.0 | Identification of Transcriptional Dynamics using Pulse Models
via 4su-Seq Data and RNA-Seq Data | XinWang |
| pumilioR | 1.3.1 | Pumilio in R | Luis J. Villanueva-Rivera |
| PUMP | 1.0.3 | Power Under Multiplicity Project | Luke Miratrix |
| puniform | 0.2.7 | Meta-Analysis Methods Correcting for Publication Bias | Robbie C.M. van Aert |
| PUPAIM | 0.3.1 | A Collection of Physical and Chemical Adsorption Isotherm Models | Chester C. Deocaris |
| PUPAK | 0.1.1 | Parameter Estimation, and Plot Visualization of Adsorption
Kinetic Models | Chester Deocaris |
| PupillometryR | 0.0.5 | A Unified Pipeline for Pupillometry Data | Samuel Forbes |
| PupilPre | 0.6.2 | Preprocessing Pupil Size Data | Aki-Juhani Kyröläinen |
| PUPMCR | 0.2.0 | Image-Based Identification of Color Based on Rayner (1970)
Terminology and Known Fungal Pigments | Chester Deocaris |
| PUPMSI | 0.1.0 | Moisture Sorption Isotherm Modeling Program | Chester Deocaris |
| pureseqtmr | 1.4 | Predict Transmembrane Protein Topology | Richèl J.C. Bilderbeek |
| purge | 0.2.1 | Purge Training Data from Models | Marc Maier |
| purgeR | 1.8.2 | Inbreeding-Purging Estimation in Pedigreed Populations | Eugenio López-Cortegano |
| purging | 1.0.0 | Simple Method for Purging Mediation Effects among Independent
Variables | Philip D. Waggoner |
| purrr | 1.0.2 | Functional Programming Tools | Hadley Wickham |
| purrrlyr | 0.0.8 | Tools at the Intersection of 'purrr' and 'dplyr' | Lionel Henry |
| Pursuit | 1.0.4 | Projection Pursuit | Paulo Cesar Ossani |
| pushbar | 0.1.0 | Create Sliders for 'Shiny' | John Coene |
| pushoverr | 1.1.0 | Send Push Notifications using 'Pushover' | Brian Connelly |
| puzzle | 0.0.1 | Assembling Data Sets for Non-Linear Mixed Effects Modeling | Mario Gonzalez Sales |
| PVAClone | 0.1-7 | Population Viability Analysis with Data Cloning | Peter Solymos |
| pvaluefunctions | 1.6.2 | Creates and Plots P-Value Functions, S-Value Functions,
Confidence Distributions and Confidence Densities | Denis Infanger |
| pvar | 2.2.7 | Calculation and Application of p-Variation | Vygantas Butkus |
| pvclass | 1.4 | P-Values for Classification | Niki Zumbrunnen |
| pvclust | 2.2-0 | Hierarchical Clustering with P-Values via Multiscale Bootstrap
Resampling | Ryota Suzuki |
| pvcurveanalysis | 1.0.0 | Analysis of Pressure Volume Curves | Anna Raesch |
| pvda | 0.0.3 | Disproportionality Functions for Pharmacovigilance | Oskar Gauffin |
| pvldcurve | 1.2.6 | Simplifies the Analysis of Pressure Volume and Leaf Drying
Curves | Anna Raesch |
| pvLRT | 0.5.1 | Likelihood Ratio Test-Based Approaches to Pharmacovigilance | Saptarshi Chakraborty |
| PVplr | 0.1.2 | Performance Loss Rate Analysis Pipeline | Roger French |
| PVR | 0.3 | Phylogenetic Eigenvectors Regression and Phylogentic
Signal-Representation Curve | Thiago Santos |
| PWEALL | 1.3.0.1 | Design and Monitoring of Survival Trials Accounting for Complex
Situations | Xiaodong Luo |
| PWEXP | 0.5.0 | Piecewise Exponential Distribution Prediction Model | Tianchen Xu |
| PWIR | 0.0.3 | Provides a Function to Calculate Prize Winner Indices Based on
Bibliometric Data | Robin Haunschild |
| pwlmm | 1.1.1 | PWIGLS for Two-Level Multivariate and Multilevel Linear Models | Alinne Veiga |
| pwr | 1.3-0 | Basic Functions for Power Analysis | Helios De Rosario |
| pwr2 | 1.0 | Power and Sample Size Analysis for One-way and Two-way ANOVA
Models | Pengcheng Lu |
| pwr2ppl | 0.5.0 | Power Analyses for Common Designs (Power to the People) | Chris Aberson |
| pwrAB | 0.1.0 | Power Analysis for AB Testing | William Cha |
| pwrFDR | 2.8.9 | FDR Power | Grant Izmirlian Jr |
| PwrGSD | 2.3.6 | Power in a Group Sequential Design | Grant Izmirlian |
| pwrRasch | 0.1-2 | Statistical Power Simulation for Testing the Rasch Model | Takuya Yanagida |
| pwrss | 0.3.1 | Statistical Power and Sample Size Calculation Tools | Metin Bulus |
| pwt | 7.1-1 | Penn World Table (Versions 5.6, 6.x, 7.x) | Achim Zeileis |
| pwt10 | 10.01-0 | Penn World Table (Version 10.x) | Achim Zeileis |
| pwt8 | 8.1-1 | Penn World Table (Version 8.x) | Achim Zeileis |
| pwt9 | 9.1-0 | Penn World Table (Version 9.x) | Achim Zeileis |
| pxR | 0.42.7 | PC-Axis with R | Carlos J. Gil Bellosta |
| pxweb | 0.17.0 | R Interface to PXWEB APIs | Mans Magnusson |
| PxWebApiData | 0.9.0 | PX-Web Data by API | Øyvind Langsrud |
| pycno | 1.4 | Pycnophylactic Interpolation | Francesca Bitonti |
| pyinit | 1.1.3 | Pena-Yohai Initial Estimator for Robust S-Regression | David Kepplinger |
| pylintR | 0.1.0 | Lint 'Python' Files with a R Command or a 'RStudio' Addin | Stéphane Laurent |
| pyMTurkR | 1.1.6 | A Client for the 'MTurk' Requester API | Vineet Bansal |
| pyramid | 1.5 | Draw Population Pyramid | Minato Nakazawa |
| pysd2r | 0.1.0 | API to 'Python' Library 'pysd' | Jim Duggan |
| pysparklyr | 0.1.3 | Provides a 'PySpark' Back-End for the 'sparklyr' Package | Edgar Ruiz |
| pzfx | 0.3.0 | Read and Write 'GraphPad Prism' Files | Yue Jiang |
| Q2q | 0.1.0 | Interpolating Age-Specific Mortality Rates at All Ages | Farid FLICI |
| Q7 | 0.1.0 | Types and Features for Object Oriented Programming | Siqi Zhang |
| qacBase | 1.0.3 | Functions to Facilitate Exploratory Data Analysis | Kabacoff Robert |
| qad | 1.0.4 | Quantification of Asymmetric Dependence | Nicolas Dietrich |
| QAIG | 0.1.7 | Automatic Item Generator for Quantitative Multiple-Choice Items | Subhabrata Patra (Shubh) |
| qap | 0.1-2 | Heuristics for the Quadratic Assignment Problem (QAP) | Michael Hahsler |
| qape | 2.1 | Quantile of Absolute Prediction Errors | Alicja Wolny-Dominiak |
| Qapprox | 0.2.0 | Approximation to the Survival Functions of Quadratic Forms of
Gaussian Variables | Hong Zhang |
| Qardl | 0.1.1 | Quantile Autoregressive Distributed Lag Model | Taha Zaghdoudi |
| qbld | 1.0.3 | Quantile Regression for Binary Longitudinal Data | Ayush Agarwal |
| QBMS | 1.0.0 | Query the Breeding Management System(s) | Khaled Al-Shamaa |
| qboxplot | 0.2 | Quantile-Based Boxplot | Tom Pike |
| qbr | 1.2.3 | Access the 'Quickbase' JSON API | John Erdmann |
| QCA | 3.22 | Qualitative Comparative Analysis | Adrian Dusa |
| QCAcluster | 0.1.0 | Tools for the Analysis of Clustered Data in QCA | Ingo Rohlfing |
| qcapower | 0.1.0 | Estimate Power and Required Sample Size in QCA | Ingo Rohlfing |
| QCApro | 1.1-2 | Advanced Functionality for Performing and Evaluating Qualitative
Comparative Analysis | Alrik Thiem |
| QCAtools | 0.2.3 | Helper Functions for QCA in R | Jirka Lewandowski |
| qcauchyreg | 1.0 | Quantile Regression Quasi-Cauchy | Jose Sergio Case de Oliveira |
| qCBA | 0.5.1 | Quantitative Classification by Association Rules | Tomas Kliegr |
| qcc | 2.7 | Quality Control Charts | Luca Scrucca |
| qccrs | 0.1.0 | Quality Control Charts under Repetitive Sampling | Muhammad Yaseen |
| QCEWAS | 1.2-3 | Fast and Easy Quality Control of EWAS Results Files | Peter J. van der Most |
| QCGWAS | 1.0-9 | Quality Control of Genome Wide Association Study Results | Peter J. van der Most |
| qch | 2.0.0 | Query Composite Hypotheses | Tristan Mary-Huard |
| qcpm | 0.3 | Quantile Composite Path Modeling | Giuseppe Lamberti |
| qcQpcr | 1.5 | Histone ChIP-Seq qPCR Analyzer | Alireza Lorzadeh |
| qcr | 1.4 | Quality Control Review | Miguel Flores |
| QCSimulator | 0.0.1 | A 5-Qubit Quantum Computing Simulator | Tinniam V Ganesh |
| QCSIS | 0.1 | Sure Independence Screening via Quantile Correlation and
Composite Quantile Correlation | Xuejun Ma |
| qcv | 1.0 | Quantifying Construct Validity | R. Michael Furr |
| qdap | 2.4.6 | Bridging the Gap Between Qualitative Data and Quantitative
Analysis | Tyler Rinker |
| qdapDictionaries | 1.0.7 | Dictionaries and Word Lists for the 'qdap' Package | Tyler Rinker |
| qdapRegex | 0.7.8 | Regular Expression Removal, Extraction, and Replacement Tools | Tyler Rinker |
| qdapTools | 1.3.7 | Tools for the 'qdap' Package | Tyler Rinker |
| QDComparison | 3.0 | Modern Nonparametric Tools for Two-Sample Quantile and
Distribution Comparisons | David Jungreis |
| QDiabetes | 1.0-2 | Type 2 Diabetes Risk Calculator | Benjamin G. Feakins |
| qdm | 0.1-0 | Fitting a Quadrilateral Dissimilarity Model to Same-Different
Judgments | Nora Umbach |
| qeML | 1.1 | Quick and Easy Machine Learning Tools | Norm Matloff |
| Qest | 1.0.1 | Quantile-Based Estimator | Gianluca Sottile |
| QF | 0.0.6 | Density, Cumulative and Quantile Functions of Quadratic Forms | Aldo Gardini |
| qfa | 2.1 | Quantile-Frequency Analysis (QFA) of Time Series | Ta-Hsin Li |
| QFASA | 1.2.0 | Quantitative Fatty Acid Signature Analysis | Connie Stewart |
| qfasar | 1.2.1 | Quantitative Fatty Acid Signature Analysis in R | Jeffrey F. Bromaghin |
| qfratio | 1.1.1 | Moments and Distributions of Ratios of Quadratic Forms Using
Recursion | Junya Watanabe |
| QFRM | 1.0.1 | Pricing of Vanilla and Exotic Option Contracts | Oleg Melnikov |
| qgam | 1.3.4 | Smooth Additive Quantile Regression Models | Matteo Fasiolo |
| QGameTheory | 0.1.2 | Quantum Game Theory Simulator | Indranil Ghosh |
| qGaussian | 0.1.8 | The q-Gaussian Distribution | Wagner Santos de Lima |
| qgcomp | 2.15.2 | Quantile G-Computation | Alexander Keil |
| qgcompint | 0.7.0 | Quantile G-Computation Extensions for Effect Measure
Modification | Alexander Keil |
| qgg | 1.1.2 | Statistical Tools for Quantitative Genetic Analyses | Peter Soerensen |
| QGglmm | 0.7.4 | Estimate Quantitative Genetics Parameters from Generalised
Linear Mixed Models | Pierre de Villemereuil |
| qgisprocess | 0.3.0 | Use 'QGIS' Processing Algorithms | Floris Vanderhaeghe |
| qgraph | 1.9.8 | Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation | Sacha Epskamp |
| qgshiny | 0.1.0 | A 'shiny' Application for Active Learning Instruction in
Introductory Quantitative Genetics | Jeffrey Neyhart |
| qgtools | 2.0 | Generalized Quantitative Genetics Data Analyses | Jixiang Wu |
| QHOT | 0.1.0 | QTL Hotspot Detection | ManHsia Yang |
| QHScrnomo | 3.0.1 | Construct Nomograms for Competing Risks Regression Models | Zajichek Alex |
| QI | 0.1.0 | Quantity-Intensity Relationship of Soil Potassium | Bappa Das |
| qicharts | 0.5.8 | Quality Improvement Charts | Jacob Anhoej |
| qicharts2 | 0.7.4 | Quality Improvement Charts | Jacob Anhoej |
| qif | 1.5 | Quadratic Inference Function | Michael Kleinsasser |
| qiitr | 0.1.1 | R Interface to Qiita API | Hiroaki Yutani |
| Qindex | 0.1.5 | Continuous and Dichotomized Index Predictors Based on
Distribution Quantiles | Tingting Zhan |
| Qindex.data | 0.1.0 | Data for Package 'Qindex' | Tingting Zhan |
| qkerntool | 1.19 | Q-Kernel-Based and Conditionally Negative Definite Kernel-Based
Machine Learning Tools | Yusen Zhang |
| qlcal | 0.0.10 | R Bindings to the Calendaring Functionality of 'QuantLib' | Dirk Eddelbuettel |
| QLearning | 0.1.1 | Reinforcement Learning using the Q Learning Algorithm | Liam Bressler |
| qlifetable | 0.0.2-4 | Managing and Building of Quarterly Life Tables | Jose M. Pavía |
| qmap | 1.0-4 | Statistical Transformations for Post-Processing Climate Model
Output | Lukas Gudmundsson |
| qmd | 1.1.2 | Quantification of Multivariate Dependence | Nicolas Dietrich |
| qmethod | 1.8.4 | Analysis of Subjective Perspectives Using Q Methodology | Aiora Zabala |
| qmrparser | 0.1.6 | Parser Combinator in R | Juan Gea |
| qmvs | 0.2.0 | Queueing Model of Visual Search | Yiqi Li |
| qoi | 0.0.4 | Read and Write QOI Images | Johannes Friedrich |
| QoLMiss | 0.1.0 | Scales Score Calculation from Quality of Life Data | Atanu Bhattacharjee |
| qpcR | 1.4-1 | Modelling and Analysis of Real-Time PCR Data | Andrej-Nikolai Spiess |
| qPCRhelper | 0.1.0 | qPCR Ct Values to Expression Values | Wilson Jr. Aala |
| qPCRtools | 1.0.1 | Tools for qPCR | Xiang LI |
| qpdf | 1.3.3 | Split, Combine and Compress PDF Files | Jeroen Ooms |
| qpmadr | 1.1.0-0 | Interface to the 'qpmad' Quadratic Programming Solver | Eric Anderson |
| qpNCA | 1.1.6 | Noncompartmental Pharmacokinetic Analysis by qPharmetra | Jan Huisman |
| qqboxplot | 0.3.0 | Implementation of the Q-Q Boxplot | Jordan Rodu |
| qqconf | 1.3.2 | Creates Simultaneous Testing Bands for QQ-Plots | Eric Weine |
| qqman | 0.1.9 | Q-Q and Manhattan Plots for GWAS Data | Stephen Turner |
| qqplotr | 0.0.6 | Quantile-Quantile Plot Extensions for 'ggplot2' | Adam Loy |
| qqtest | 1.2.0 | Self Calibrating Quantile-Quantile Plots for Visual Testing | Wayne Oldford |
| qqvases | 1.0.0 | Animated Normal Quantile-Quantile Plots | Robert Stine |
| QR | 0.1.3 | QR Factorization without Pivoting | Juan Claramunt Gonzalez |
| qra | 0.2.7 | Quantal Response Analysis for Dose-Mortality Data | John Maindonald |
| QRAGadget | 0.3.0 | A 'Shiny' Gadget for Interactive 'QRA' Visualizations | Paul Govan |
| QRank | 1.0 | A Novel Quantile Regression Approach for eQTL Discovery | Xiaoyu Song |
| qrcm | 3.1 | Quantile Regression Coefficients Modeling | Paolo Frumento |
| qrcmNP | 0.2.1 | Nonlinear and Penalized Quantile Regression Coefficients
Modeling | Gianluca Sottile |
| qrcode | 0.2.2 | Generate QRcodes with R | Thierry Onkelinx |
| QregBB | 1.0.0 | Block Bootstrap Methods for Quantile Regression in Time Series | Karl Gregory |
| QRegVCM | 1.2 | Quantile Regression in Varying-Coefficient Models | "Andriyana.Y" |
| qrencoder | 0.1.0 | Quick Response Code (QR Code) / Matrix Barcode Creator | Bob Rudis |
| qreport | 1.0-0 | Statistical Reporting with 'Quarto' | Frank Harrell |
| QRIpkg | 0.2.2 | Quantile Regression Index Score | Si Gao |
| qris | 1.1.1 | Quantile Regression Model for Residual Lifetime Using an Induced
Smoothing Approach | Kyu Hyun Kim |
| QRISK3 | 0.6.0 | 10-Year Cardiovascular Disease Risk Calculator (QRISK3 2017) | Yan Li |
| qrjoint | 2.0-9 | Joint Estimation in Linear Quantile Regression | Surya Tokdar |
| qrlabelr | 0.2.0 | Generate Machine- And Human-Readable Plot Labels for Experiments | Alexander Wireko Kena |
| qrLMM | 2.2 | Quantile Regression for Linear Mixed-Effects Models | Christian E. Galarza |
| QRM | 0.4-31 | Provides R-Language Code to Examine Quantitative Risk Management
Concepts | Bernhard Pfaff |
| qrmdata | 2024-03-04-2 | Data Sets for Quantitative Risk Management Practice | Marius Hofert |
| qrmix | 0.9.0 | Quantile Regression Mixture Models | Maria de los Angeles Resa |
| qrmtools | 0.0-17 | Tools for Quantitative Risk Management | Marius Hofert |
| qrng | 0.0-10 | (Randomized) Quasi-Random Number Generators | Marius Hofert |
| qrNLMM | 3.3 | Quantile Regression for Nonlinear Mixed-Effects Models | Christian E. Galarza |
| qrnn | 2.1.1 | Quantile Regression Neural Network | Alex J. Cannon |
| qs | 0.26.1 | Quick Serialization of R Objects | Travers Ching |
| QSARdata | 1.3 | Quantitative Structure Activity Relationship (QSAR) Data Sets | Max Kuhn |
| qsimulatR | 1.1.1 | A Quantum Computer Simulator | Carsten Urbach |
| qsort | 0.2.3 | Scoring Q-Sort Data | David N Sousa |
| qsplines | 1.0.1 | Quaternions Splines | Stéphane Laurent |
| qspray | 2.1.1 | Multivariate Polynomials with Rational Coefficients | Stéphane Laurent |
| qst | 0.1.2 | Store Tables in SQL Database | Magnus Thor Torfason |
| qsub | 1.1.3 | Running Commands Remotely on 'Gridengine' Clusters | Robrecht Cannoodt |
| qte | 1.3.1 | Quantile Treatment Effects | Brantly Callaway |
| QTE.RD | 1.0.0 | Quantile Treatment Effects under the Regression Discontinuity
Design | Jungmo Yoon |
| qtl | 1.66 | Tools for Analyzing QTL Experiments | Karl W Broman |
| QTL.gCIMapping | 3.4 | QTL Genome-Wide Composite Interval Mapping | Yuanming Zhang |
| QTL.gCIMapping.GUI | 2.1.1 | QTL Genome-Wide Composite Interval Mapping with Graphical User
Interface | Yuanming Zhang |
| qtl2 | 0.34 | Quantitative Trait Locus Mapping in Experimental Crosses | Karl W Broman |
| qtl2convert | 0.30 | Convert Data among QTL Mapping Packages | Karl W Broman |
| qtl2fst | 0.26 | Database Storage of Genotype Probabilities for QTL Mapping | Karl W Broman |
| qtl2ggplot | 1.2.4 | Data Visualization for QTL Experiments | Brian S Yandell |
| qtl2pattern | 1.2.1 | Pattern Support for 'qtl2' Package | Brian S Yandell |
| qtl2pleio | 1.4.3 | Testing Pleiotropy in Multiparental Populations | Frederick J Boehm |
| qtlbook | 0.18-8 | Datasets for the R/qtl Book | Karl W Broman |
| qtlc | 1.0 | Densitometric Analysis of Thin-Layer Chromatography Plates | Ivan D. Pavicevic |
| qtlcharts | 0.16 | Interactive Graphics for QTL Experiments | Karl W Broman |
| QTLEMM | 1.5.2 | QTL Mapping and Hotspots Detection | Ping-Yuan Chung |
| qtlhot | 1.0.4 | Inference for QTL Hotspots | Brian S. Yandell |
| qtlmt | 0.1-6 | Tools for Mapping Multiple Complex Traits | Riyan Cheng |
| qtlnet | 1.5.4 | Causal Inference of QTL Networks | Brian S. Yandell |
| qtlpoly | 0.2.4 | Random-Effect Multiple QTL Mapping in Autopolyploids | Gabriel de Siqueira Gesteira |
| QTLRel | 1.14 | Tools for Mapping of Quantitative Traits of Genetically Related
Individuals and Calculating Identity Coefficients from
Pedigrees | Riyan Cheng |
| QTOCen | 0.1.1 | Quantile-Optimal Treatment Regimes with Censored Data | Yu Zhou |
| Qtools | 1.5.9 | Utilities for Quantiles | Marco Geraci |
| qtwAcademic | 2022.12.13 | 'Quarto' Website Templates for Academics | Chi Zhang |
| quadcleanR | 1.1.0 | Cleanup and Visualization of Quadrat Data | Dominique Maucieri |
| quadmatrix | 0.1.0 | Solving Quadratic Matrix Equations | Siva Rajesh Kasa |
| quadmesh | 0.5.5 | Quadrangle Mesh | Michael D. Sumner |
| quadprog | 1.5-8 | Functions to Solve Quadratic Programming Problems | Berwin A. Turlach |
| quadprogXT | 0.0.5 | Quadratic Programming with Absolute Value Constraints | Bob Harlow |
| quadraticSD | 0.1.0 | Visualizing the SD using a Quadratic Curve | Siddhanta Phuyal |
| QuadratiK | 1.0.0 | Collection of Methods Constructed using Kernel-Based Quadratic
Distances | Giovanni Saraceno |
| QuadRoot | 0.2.1 | Quadratic Root for any Quadratic Equation | Pankaj Das |
| quadrupen | 0.2-11 | Sparsity by Worst-Case Quadratic Penalties | Julien Chiquet |
| quadtree | 0.1.14 | Region Quadtrees for Spatial Data | Derek Friend |
| qualitycontrol | 0.1.0 | Unified Framework for Data Quality Control | Luis Garcez |
| qualmap | 0.2.2 | Opinionated Approach for Digitizing Semi-Structured Qualitative
GIS Data | Christopher Prener |
| qualpalr | 0.4.4 | Automatic Generation of Qualitative Color Palettes | Johan Larsson |
| qualtRics | 3.2.0 | Download 'Qualtrics' Survey Data | Julia Silge |
| qualV | 0.3-5 | Qualitative Validation Methods | Thomas Petzoldt |
| qualvar | 0.2.0 | Implements Indices of Qualitative Variation Proposed by Wilcox
(1973) | Joel Gombin |
| QUALYPSO | 2.3 | Partitioning Uncertainty Components of an Incomplete Ensemble of
Climate Projections | Guillaume Evin |
| Quandl | 2.11.0 | API Wrapper for Quandl.com | Dave Dotson |
| QuantBondCurves | 0.2.0 | Calculates Bond Values and Interest Rate Curves for Finance | Camilo Díaz |
| quantCurves | 1.0.0 | Estimate Quantiles Curves | Sandie Ferrigno |
| quantdates | 1.0 | Manipulate Dates for Finance | Julian Chitiva |
| quantdr | 1.2.2 | Dimension Reduction Techniques for Conditional Quantiles | Eliana Christou |
| quanteda | 4.0.1 | Quantitative Analysis of Textual Data | Kenneth Benoit |
| quanteda.textmodels | 0.9.6 | Scaling Models and Classifiers for Textual Data | Kenneth Benoit |
| quanteda.textplots | 0.94.4 | Plots for the Quantitative Analysis of Textual Data | Kenneth Benoit |
| quanteda.textstats | 0.97 | Textual Statistics for the Quantitative Analysis of Textual Data | Kenneth Benoit |
| quantification | 0.2.0 | Quantification of Qualitative Survey Data | Joachim Zuckarelli |
| quantileDA | 1.2 | Quantile Classifier | Cinzia Viroli |
| QuantileGH | 0.1.6 | Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h
Mixture | Tingting Zhan |
| QuantileGradeR | 0.1.1 | Quantile-Adjusted Restaurant Grading | Zoe Ashwood |
| QuantileNPCI | 0.9.0 | Nonparametric Confidence Intervals for Quantiles | Li Yan |
| quantilogram | 2.2.1 | Cross-Quantilogram | Tatsushi Oka |
| quantities | 0.2.1 | Quantity Calculus for R Vectors | Iñaki Ucar |
| quantkriging | 0.1.0 | Quantile Kriging for Stochastic Simulations with Replication | Kevin R. Quinlan |
| quantmod | 0.4.26 | Quantitative Financial Modelling Framework | Joshua M. Ulrich |
| QuantNorm | 1.0.5 | Mitigating the Adverse Impact of Batch Effects in Sample Pattern
Detection | Teng Fei |
| quantoptr | 0.1.3 | Algorithms for Quantile- And Mean-Optimal Treatment Regimes | Yu Zhou |
| QuantPsyc | 1.6 | Quantitative Psychology Tools | Thomas D. Fletcher |
| quantreg | 5.97 | Quantile Regression | Roger Koenker |
| quantreg.nonpar | 1.0 | Nonparametric Series Quantile Regression | Ivan Fernandez-Val |
| quantregForest | 1.3-7 | Quantile Regression Forests | Loris Michel |
| QuantRegGLasso | 1.0.0 | Adaptively Weighted Group Lasso for Semiparametric Quantile
Regression Models | Wen-Ting Wang |
| quantregGrowth | 1.7-0 | Non-Crossing Additive Regression Quantiles and Non-Parametric
Growth Charts | Vito M. R. Muggeo |
| quantregRanger | 1.0 | Quantile Regression Forests for 'ranger' | Philipp Probst |
| quantspec | 1.2-3 | Quantile-Based Spectral Analysis of Time Series | Tobias Kley |
| QuantumOps | 3.0.1 | Performs Common Linear Algebra Operations Used in Quantum
Computing and Implements Quantum Algorithms | Salonik Resch |
| quarks | 1.1.3 | Simple Methods for Calculating and Backtesting Value at Risk and
Expected Shortfall | Sebastian Letmathe |
| quarrint | 1.0.0 | Interaction Prediction Between Groundwater and Quarry Extension
Using Discrete Choice Models and Artificial Neural Networks | Johan Barthelemy |
| Quartet | 1.2.6 | Comparison of Phylogenetic Trees Using Quartet and Split
Measures | Martin R. Smith |
| quartets | 0.1.1 | Datasets to Help Teach Statistics | Lucy D'Agostino McGowan |
| quarto | 1.4 | R Interface to 'Quarto' Markdown Publishing System | Christophe Dervieux |
| QuClu | 1.0.1 | Quantile-Based Clustering Algorithms | Laura Anderlucci |
| queryparser | 0.3.2 | Translate 'SQL' Queries into 'R' Expressions | Ian Cook |
| queryup | 1.0.5 | Query the 'UniProtKB' REST API | Guillaume Voisinne |
| quest | 0.2.0 | Prepare Questionnaire Data for Analysis | David Disabato |
| questionr | 0.7.8 | Functions to Make Surveys Processing Easier | Julien Barnier |
| QuESTr | 0.1.1 | Constructing Quantitative Environment Sensor using
Transcriptomes | Takahiko Koizumi |
| queuecomputer | 1.2.0 | Computationally Efficient Queue Simulation | Anthony Ebert |
| queueing | 0.2.12 | Analysis of Queueing Networks and Models | Pedro Canadilla |
| quhomology | 1.1.1 | Calculation of Homology of Quandles, Racks, Biquandles and
Biracks | Ansgar Wenzel |
| quickblock | 0.2.1 | Quick Threshold Blocking | Fredrik Savje |
| quickcheck | 0.1.3 | Property Based Testing | Andrew McNeil |
| quickcode | 0.8 | Quick and Essential 'R' Tricks for Better Scripts | Obinna Obianom |
| QuickJSR | 1.1.3 | Interface for the 'QuickJS' Lightweight 'JavaScript' Engine | Andrew R. Johnson |
| quickmatch | 0.2.2 | Quick Generalized Full Matching | Fredrik Savje |
| quickNmix | 1.1.1 | Asymptotic N-Mixture Model Fitting | Matthew RP Parker |
| quickPlot | 1.0.2 | A System of Plotting Optimized for Speed and Modularity | Eliot J B McIntire |
| quickpsy | 0.1.5.1 | Fits Psychometric Functions for Multiple Groups | Linares Daniel |
| quickReg | 1.5.0 | Build Regression Models Quickly and Display the Results Using
'ggplot2' | Xikun Han |
| quickregression | 0.2 | Quick Linear Regression | Darshan Maniyar |
| quid | 0.0.1 | Bayesian Mixed Models for Qualitative Individual Differences | Lukas Klima |
| quiddich | 1.0.0 | QUick IDentification of DIagnostic CHaracters | A. Luise Kuehn |
| quietR | 0.1.0 | Simplify Output Verbosity | Thomas Johnson |
| quiltr | 0.1.0 | Qualtrics for Labelling Text using R | Christopher Barrie |
| quincunx | 0.1.7 | REST API Client for the 'PGS' Catalog | Ramiro Magno |
| quint | 2.2.2 | Qualitative Interaction Trees | Elise Dusseldorp |
| quollr | 0.1.1 | Visualising How Nonlinear Dimension Reduction Warps Your Data | Jayani P.G. Lakshika |
| quoradsR | 0.1.0 | Get 'Quora' Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| quotedargs | 0.1.3 | A Way of Writing Functions that Quote their Arguments | Radford Neal |
| quRan | 0.1.0 | Complete Text of the Qur'an | Andrew Heiss |
| QurvE | 1.1.1 | Robust and User-Friendly Analysis of Growth and Fluorescence
Curves | Nicolas T. Wirth |
| qut | 2.2 | Quantile Universal Threshold | Jairo Diaz-Rodriguez |
| Qval | 0.1.5 | The Q-Matrix Validation Methods Framework | Haijiang Qin |
| qvcalc | 1.0.3 | Quasi Variances for Factor Effects in Statistical Models | David Firth |
| qwalkr | 0.1.0 | Handle Continuous-Time Quantum Walks with R | Vitor Marques |
| QWDAP | 1.1.17 | Quantum Walk-Based Data Analysis and Prediction | Binghuang Pan |
| qwraps2 | 0.6.0 | Quick Wraps 2 | Peter DeWitt |
| QZ | 0.2-3 | Generalized Eigenvalues and QZ Decomposition | Wei-Chen Chen |
| r.blip | 1.1 | Bayesian Network Learning Improved Project | Mauro Scanagatta |
| R.cache | 0.16.0 | Fast and Light-Weight Caching (Memoization) of Objects and
Results to Speed Up Computations | Henrik Bengtsson |
| R.devices | 2.17.2 | Unified Handling of Graphics Devices | Henrik Bengtsson |
| R.filesets | 2.15.1 | Easy Handling of and Access to Files Organized in Structured
Directories | Henrik Bengtsson |
| R.huge | 0.10.1 | Methods for Accessing Huge Amounts of Data [deprecated] | Henrik Bengtsson |
| r.jive | 2.4 | Perform JIVE Decomposition for Multi-Source Data | Michael J. O'Connell |
| R.matlab | 3.7.0 | Read and Write MAT Files and Call MATLAB from Within R | Henrik Bengtsson |
| R.methodsS3 | 1.8.2 | S3 Methods Simplified | Henrik Bengtsson |
| R.oo | 1.26.0 | R Object-Oriented Programming with or without References | Henrik Bengtsson |
| r.proxy | 0.1.3 | Set Proxy in R Console | Yonghe Xia |
| R.rsp | 0.46.0 | Dynamic Generation of Scientific Reports | Henrik Bengtsson |
| R.temis | 0.1.3 | Integrated Text Mining Solution | Milan Bouchet-Valat |
| R.utils | 2.12.3 | Various Programming Utilities | Henrik Bengtsson |
| R0 | 1.3-1 | Estimation of R0 and Real-Time Reproduction Number from
Epidemics | Thomas Obadia |
| r02pro | 0.2 | R Programming: Zero to Pro | Yang Feng |
| R1magic | 0.3.4 | Compressive Sampling: Sparse Signal Recovery Utilities | Mehmet Suzen |
| R2Addhaz | 0.1.0 | R2 Measure of Explained Variation under the Additive Hazards
Model | Denise Rava |
| R2admb | 0.7.16.3 | 'ADMB' to R Interface Functions | Ben Bolker |
| R2BayesX | 1.1-5 | Estimate Structured Additive Regression Models with 'BayesX' | Nikolaus Umlauf |
| R2BEAT | 1.0.5 | Multistage Sampling Allocation and Sample Selection | Andrea Fasulo |
| r2country | 2.0.2.3.1 | Country Data with Names, Capitals, Currencies, Populations,
Time, Languages and so on | Obinna Obianom |
| r2d2 | 1.0.1 | Bivariate (Two-Dimensional) Confidence Region and Frequency
Distribution | Arni Magnusson |
| r2d3 | 0.2.6 | Interface to 'D3' Visualizations | Nick Strayer |
| r2dictionary | 0.2 | A Mini-Dictionary for 'R', 'Shiny' and 'Rmarkdown' Documents | Obinna Obianom |
| r2dii.analysis | 0.4.0 | Measure Climate Scenario Alignment of Corporate Loans | Alex Axthelm |
| r2dii.data | 0.5.0 | Datasets to Measure the Alignment of Corporate Loan Books with
Climate Goals | Alex Axthelm |
| r2dii.match | 0.2.0 | Tools to Match Corporate Lending Portfolios with Climate Data | Alex Axthelm |
| r2dii.plot | 0.4.0 | Visualize the Climate Scenario Alignment of a Financial
Portfolio | Monika Furdyna |
| R2DT | 0.2 | Translation of Base R-Like Functions for 'data.table' Objects | Robin Van Oirbeek |
| r2fireworks | 0.1.0 | Enhance Your 'Rmarkdown' and 'shiny' Apps with Dazzling
Fireworks Celebrations | Obinna Obianom |
| r2glmm | 0.1.2 | Computes R Squared for Mixed (Multilevel) Models | Byron Jaeger |
| R2HTML | 2.3.3 | HTML Exportation for R Objects | Milan Bouchet-Valat |
| R2jags | 0.7-1.1 | Using R to Run 'JAGS' | Yu-Sung Su |
| r2mlm | 0.3.7 | R-Squared Measures for Multilevel Models | Mairead Shaw |
| R2MLwiN | 0.8-9 | Running 'MLwiN' from Within R | Zhengzheng Zhang |
| R2OpenBUGS | 3.2-3.2.1 | Running OpenBUGS from R | Neal Thomas |
| r2pmml | 0.27.1 | Convert R Models to PMML | Villu Ruusmann |
| R2PPT | 2.2.0 | Simple R Interface to Microsoft PowerPoint using RDCOMClient | Wayne Jones |
| r2pptx | 0.1.0 | Object Oriented R -> PowerPoint | Matt Lehman |
| r2r | 0.1.1 | R-Object to R-Object Hash Maps | Valerio Gherardi |
| r2redux | 1.0.17 | R2 Statistic | Moksedul Momin |
| r2resize | 1.9 | In-Text Resizer for Images, Tables and Fancy Resizable
Containers in 'shiny', 'rmarkdown' and 'quarto' Documents | Obinna Obianom |
| R2ROC | 1.0.1 | AUC Statistics | Moksedul Momin |
| r2rtf | 1.1.1 | Easily Create Production-Ready Rich Text Format (RTF) Table and
Figure | Benjamin Wang |
| R2sample | 1.1.0 | Two Sample Problem Routines using Permutation | Wolfgang Rolke |
| r2shortcode | 0.2 | Shorten Function Names of Functions in Another Package and
Create an Index to Make Them Accessible | Obinna Obianom |
| r2social | 1.1 | App Inclusion of Social Sharing and Connect Buttons | Obinna Obianom |
| r2spss | 0.3.2 | Format R Output to Look Like SPSS | Andreas Alfons |
| r2stl | 1.0.3 | Visualizing Data using a 3D Printer | Paul J. Northrop |
| r2sundials | 6.5.0-4 | Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem | Serguei Sokol |
| R2SWF | 0.9-9 | Convert R Graphics to Flash Animations | Yixuan Qiu |
| r2symbols | 1.4 | Symbols for 'Markdown' and 'Shiny' Application | Obinna Obianom |
| R2ucare | 1.0.2 | Goodness-of-Fit Tests for Capture-Recapture Models | Olivier Gimenez |
| R2wd | 1.5 | Write MS-Word documents from R | Christian Ritter |
| R2WinBUGS | 2.1-22.1 | Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS' | Uwe Ligges |
| r3dmol | 0.1.2 | Create Interactive 3D Visualizations of Molecular Data | Wei Su |
| r3js | 0.0.2 | 'WebGL'-Based 3D Plotting using the 'three.js' Library | Sam Wilks |
| r3PG | 0.1.6 | Simulating Forest Growth using the 3-PG Model | Volodymyr Trotsiuk |
| R3port | 0.2.5 | Report Functions to Create HTML and PDF Files | Richard Hooijmaijers |
| R4CouchDB | 0.7.5 | A R Convenience Layer for CouchDB 2.0 | Thomas Bock |
| r4ds.tutorials | 0.2.0 | Tutorials for "R for Data Science" | David Kane |
| r4googleads | 0.1.1 | 'Google Ads API' Interface | Johannes Burkhardt |
| r4lineups | 0.1.1 | Statistical Inference on Lineup Fairness | Colin Tredoux |
| r4ss | 1.44.0 | R Code for Stock Synthesis | Ian G. Taylor |
| r5r | 1.1.0 | Rapid Realistic Routing with 'R5' | Rafael H. M. Pereira |
| R6 | 2.5.1 | Encapsulated Classes with Reference Semantics | Winston Chang |
| R62S3 | 1.4.1 | Automatic Method Generation from R6 | Raphael Sonabend |
| R6causal | 0.8.3 | R6 Class for Structural Causal Models | Juha Karvanen |
| R6DS | 1.2.0 | R6 Reference Class Based Data Structures | Yukai Yang |
| r6extended | 0.1.2 | Extension for 'R6' Base Class | Peter Meissner |
| r6methods | 0.1.0 | Make Methods for R6 Classes | Jakub Sobolewski |
| R6P | 0.3.0 | Design Patterns in R | Harel Lustiger |
| ra4bayesmeta | 1.0-8 | Reference Analysis for Bayesian Meta-Analysis | Manuela Ott |
| rabi | 1.0.2 | Generate Codes to Uniquely and Robustly Identify Individuals for
Animal Behavior Studies | Andrew Taylor Burchill |
| RABR | 0.1.1 | Simulations for Response Adaptive Block Randomization Design | Tianyu Zhan |
| RAC | 1.5.5 | R Package for Aqua Culture | Baldan D. |
| racademyocean | 0.3.2 | Client for 'AcademyOcean API' | Alexey Seleznev |
| RaceID | 0.3.5 | Identification of Cell Types, Inference of Lineage Trees, and
Prediction of Noise Dynamics from Single-Cell RNA-Seq Data | Dominic Grün |
| raceland | 1.2.1 | Pattern-Based Zoneless Method for Analysis and Visualization of
Racial Topography | Jakub Nowosad |
| racir | 2.0.0 | Rapid A/Ci Response (RACiR) Data Analysis | Joseph Stinziano |
| Racmacs | 1.2.9 | Antigenic Cartography Macros | Sam Wilks |
| ractivecampaign | 0.2.0 | Loading Data from 'ActiveCampaign API v3' | Alexey Seleznev |
| rADA | 1.1.9 | Statistical Analysis and Cut-Point Determination of Immunoassays | Emma Gail |
| radar | 1.0.0 | Fundamental Formulas for Radar | Jose' Gama |
| radarBoxplot | 1.0.5 | Implementation of the Radar-Boxplot | Caio Hamamura |
| radarchart | 0.3.1 | Radar Chart from 'Chart.js' | Doug Ashton |
| RadData | 1.0.1 | Nuclear Decay Data for Dosimetric Calculations - ICRP 107 | Mark Hogue |
| RadialVisGadgets | 0.2.0 | Interactive Gadgets for Radial Visualization Approaches | José Matute |
| radiant | 1.6.1 | Business Analytics using R and Shiny | Vincent Nijs |
| radiant.basics | 1.6.0 | Basics Menu for Radiant: Business Analytics using R and Shiny | Vincent Nijs |
| radiant.data | 1.6.3 | Data Menu for Radiant: Business Analytics using R and Shiny | Vincent Nijs |
| radiant.design | 1.6.1 | Design Menu for Radiant: Business Analytics using R and Shiny | Vincent Nijs |
| radiant.model | 1.6.3 | Model Menu for Radiant: Business Analytics using R and Shiny | Vincent Nijs |
| radiant.multivariate | 1.6.1 | Multivariate Menu for Radiant: Business Analytics using R and
Shiny | Vincent Nijs |
| RadioSonde | 4.2 | Tools for Plotting Skew-T Diagrams and Wind Profiles | Doug Nychka |
| radir | 1.0.4 | Inverse-Regression Estimation of Radioactive Doses | David Moriña Soler |
| radlibs | 0.2.0 | Build Your Own Madlibs! | Stephanie Kirmer |
| RadOnc | 1.1.8 | Analytical Tools for Radiation Oncology | Reid F. Thompson |
| radous | 0.1.3 | Query Random User Data from the Random User Generator API | Mohamed El Fodil Ihaddaden |
| radsafer | 2.3.0 | Radiation Safety | Mark Hogue |
| RADstackshelpR | 0.1.0 | Optimize the De Novo Stacks Pipeline via R | Devon DeRaad |
| Radviz | 0.9.3 | Project Multidimensional Data in 2D Space | Yann Abraham |
| RAdwords | 0.1.18 | Loading Google Adwords Data into R | Johannes Burkhardt |
| rafalib | 1.0.0 | Convenience Functions for Routine Data Exploration | Rafael A. Irizarry |
| RAFS | 0.2.3 | Robust Aggregative Feature Selection | Radosław Piliszek |
| Rage | 1.6.0 | Life History Metrics from Matrix Population Models | Owen Jones |
| ragg | 1.3.0 | Graphic Devices Based on AGG | Thomas Lin Pedersen |
| RagGrid | 0.2.0 | A Wrapper of the 'JavaScript' Library 'agGrid' | Srikkanth M |
| rags2ridges | 2.2.7 | Ridge Estimation of Precision Matrices from High-Dimensional
Data | Carel F.W. Peeters |
| ragtop | 1.1.1 | Pricing Equity Derivatives with Extensions of Black-Scholes | Brian K. Boonstra |
| rai | 1.0.0 | Revisiting-Alpha-Investing for Polynomial Regression | Kory D. Johnson |
| rainbow | 3.8 | Bagplots, Boxplots and Rainbow Plots for Functional Data | Han Lin Shang |
| RAINBOWR | 0.1.35 | Genome-Wide Association Study with SNP-Set Methods | Kosuke Hamazaki |
| raincin | 1.0.3 | Ranking with Incomplete Information | Jiangtao Gou |
| rainette | 0.3.1.1 | The Reinert Method for Textual Data Clustering | Julien Barnier |
| RainfallErosivityFactor | 0.1.0 | The Rainfall-Runoff Erosivity Factor | Dione Pereira Cardoso |
| rainfarmr | 0.1 | Stochastic Precipitation Downscaling with the RainFARM Method | Jost von Hardenberg |
| rairtable | 0.1.2 | Efficient Wrapper for the 'Airtable' API | Matthew Rogers |
| RaJIVE | 1.0 | Robust Angle Based Joint and Individual Variation Explained | Erica Ponzi |
| rakeR | 0.2.1 | Easy Spatial Microsimulation (Raking) in R | Phil Mike Jones |
| ralger | 2.2.4 | Easy Web Scraping | Mohamed El Fodil Ihaddaden |
| RALSA | 1.4.0 | R Analyzer for Large-Scale Assessments | Plamen V. Mirazchiyski |
| RamanMP | 1.0 | Analysis and Identification of Raman Spectra of Microplastics | Veronica Nava |
| Ramble | 0.1.1 | Parser Combinator for R | Chapman Siu |
| rAmCharts | 2.1.15 | JavaScript Charts Tool | Benoit Thieurmel |
| rAmCharts4 | 1.6.0 | Interface to the JavaScript Library 'amCharts 4' | Stéphane Laurent |
| ramchoice | 2.2 | Revealed Preference and Attention Analysis in Random Limited
Attention Models | Xinwei Ma |
| RAMClustR | 1.3.1 | Mass Spectrometry Metabolomics Feature Clustering and
Interpretation | Helge Hecht |
| ramcmc | 0.1.2 | Robust Adaptive Metropolis Algorithm | Jouni Helske |
| rameritrade | 0.1.5 | 'TD Ameritrade' API Interface for R | Anthony Balentine |
| ramify | 0.3.3 | Additional Matrix Functionality | Brandon Greenwell |
| ramlegacy | 0.2.0 | Download and Read RAM Legacy Stock Assessment Database | Kshitiz Gupta |
| RAMP | 2.0.2 | Regularized Generalized Linear Models with Interaction Effects | Yang Feng |
| RAMpath | 0.5.1 | Structural Equation Modeling Using the Reticular Action Model
(RAM) Notation | Zhiyong Zhang |
| ramps | 0.6.18 | Bayesian Geostatistical Modeling with RAMPS | Brian J Smith |
| RaMS | 1.4.0 | R Access to Mass-Spec Data | William Kumler |
| ramsvm | 2.3 | Reinforced Angle-Based Multicategory Support Vector Machines | Shannon T. Holloway |
| randChecks | 0.2.1 | Covariate Balance Checks: Randomization Tests and Graphical
Diagnostics | Zach Branson |
| randcorr | 1.0 | Generate a Random p x p Correlation Matrix | Daniel F. Schmidt |
| randgeo | 0.3.0 | Generate Random 'WKT' or 'GeoJSON' | Scott Chamberlain |
| RandMeta | 0.1.0 | Efficient Numerical Algorithm for Exact Inference in Meta
Analysis | Lu Tian |
| randnet | 0.7 | Random Network Model Estimation, Selection and Parameter Tuning | Tianxi Li |
| rando | 0.2.0 | Context Aware Random Numbers | Michael Barrowman |
| random | 0.2.6 | True Random Numbers using RANDOM.ORG | Dirk Eddelbuettel |
| random.cdisc.data | 0.3.15 | Create Random ADaM Datasets | Joe Zhu |
| random.polychor.pa | 1.1.4-5 | A Parallel Analysis with Polychoric Correlation Matrices | Fabio Presaghi |
| randomcoloR | 1.1.0.1 | Generate Attractive Random Colors | Ron Ammar |
| randomForest | 4.7-1.1 | Breiman and Cutler's Random Forests for Classification and
Regression | Andy Liaw |
| randomForestExplainer | 0.10.1 | Explaining and Visualizing Random Forests in Terms of Variable
Importance | Yue Jiang |
| RandomForestsGLS | 0.1.4 | Random Forests for Dependent Data | Arkajyoti Saha |
| randomForestSRC | 3.2.3 | Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC) | Udaya B. Kogalur |
| randomForestVIP | 0.1.3 | Tune Random Forests Based on Variable Importance & Plot Results | Kelvyn Bladen |
| randomGLM | 1.10-1 | Random General Linear Model Prediction | Peter Langfelder |
| randomizationInference | 1.0.4 | Flexible Randomization-Based Inference | Joseph J. Lee |
| randomizeBE | 0.3-6 | Create a Random List for Crossover Studies | D. Labes |
| randomizeR | 3.0.2 | Randomization for Clinical Trials | Ralf-Dieter Hilgers |
| randomizr | 1.0.0 | Easy-to-Use Tools for Common Forms of Random Assignment and
Sampling | Alexander Coppock |
| randomLCA | 1.1-3 | Random Effects Latent Class Analysis | Ken Beath |
| randomMachines | 0.1.0 | An Ensemble Modeling using Random Machines | Mateus Maia |
| randomNames | 1.5-0.0 | Generate Random Given and Surnames | Damian W. Betebenner |
| randomUniformForest | 1.1.6 | Random Uniform Forests for Classification, Regression and
Unsupervised Learning | Saip Ciss |
| Randomuseragent | 0.0.1 | Filtering and Randomly Sampling Real User-Agent Strings | Fangzhou Xie |
| RandPro | 0.2.2 | Random Projection with Classification | Siddharth R |
| randquotes | 0.1.1 | Get Random Quotes from Quotes on Design API | AbdulMajedRaja RS |
| randtests | 1.0.1 | Testing Randomness in R | Frederico Caeiro |
| randtoolbox | 2.0.4 | Toolbox for Pseudo and Quasi Random Number Generation and Random
Generator Tests | Christophe Dutang |
| RandVar | 1.2.3 | Implementation of Random Variables | Matthias Kohl |
| rang | 0.3.0 | Reconstructing Reproducible R Computational Environments | Chung-hong Chan |
| rangeBuilder | 2.1 | Occurrence Filtering, Geographic Standardization and Generation
of Species Range Polygons | Pascal Title |
| rangeMapper | 2.0.3 | A Platform for the Study of Macro-Ecology of Life History Traits | Mihai Valcu |
| rangeModelMetadata | 0.1.5 | Provides Templates for Metadata Files Associated with Species
Range Models | Cory Merow |
| ranger | 0.16.0 | A Fast Implementation of Random Forests | Marvin N. Wright |
| RanglaPunjab | 2.3.4 | Displays Palette of 5 Colors | Sonia Ahluwalia |
| RankAggreg | 0.6.6 | Weighted Rank Aggregation | Vasyl Pihur |
| RankAggregator | 0.0.1 | Aggregation of (Partial) Ordinal Rankings | Jay Burns |
| RankAggSIgFUR | 1.0.0 | Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic
Approach | Rakhi Singh |
| Rankcluster | 0.98.0 | Model-Based Clustering for Multivariate Partial Ranking Data | Quentin Grimonprez |
| rankCorr | 1.0.1 | Total, Between-, and Within-Cluster Spearman Rank Correlations
for Clustered Data | Shengxin Tu |
| rankdifferencetest | 2021-11-25 | Kornbrot's Rank Difference Test | Brett Klamer |
| rankdist | 1.1.4 | Distance Based Ranking Models | Zhaozhi Qian |
| rankFD | 0.1.1 | Rank-Based Tests for General Factorial Designs | Frank Konietschke |
| rankhazard | 1.1.0 | Rank-Hazard Plots | Nanni Koski |
| rankICC | 1.0.2 | Rank Intraclass Correlation for Clustered Data | Shengxin Tu |
| RankingProject | 0.4.0 | The Ranking Project: Visualizations for Comparing Populations | Jerzy Wieczorek |
| rankinma | 0.2.2 | Rank in Network Meta-Analysis | Enoch Kang |
| rankinPlot | 1.1.0 | Convenient Plotting for the Modified Rankin Scale and Other
Ordinal Outcome Data | Hannah Johns |
| rankrate | 1.2.0 | Joint Statistical Models for Preference Learning with Rankings
and Ratings | Michael Pearce |
| RankResponse | 4.0.0 | Ranking Responses in a Single Response Question or a Multiple
Response Question | Hsiuying Wang |
| RANKS | 1.1 | Ranking of Nodes with Kernelized Score Functions | Giorgio Valentini |
| ranktreeEnsemble | 0.22 | Ensemble Models of Rank-Based Trees with Extracted Decision
Rules | Min Lu |
| RANN | 2.6.1 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2
Metric | Gregory Jefferis |
| Rapi | 1.0.5 | Interface for Multiple Data Providers 'EDDS' and 'FRED' | Sermet Pekin |
| rapiclient | 0.1.3 | Dynamic OpenAPI/Swagger Client | Darko Bergant |
| RApiDatetime | 0.0.9 | R API for 'Date' and 'Datetime' | Dirk Eddelbuettel |
| rapidjsonr | 1.2.0 | 'Rapidjson' C++ Header Files | David Cooley |
| rapidoc | 9.3.4 | Generates 'RapiDoc' Documentation from an 'OpenAPI'
Specification | Bruno Tremblay |
| RapidoPGS | 2.3.0 | A Fast and Light Package to Compute Polygenic Risk Scores | Guillermo Reales |
| rapidphylo | 0.1.2 | Rapidly Estimates Phylogeny from Large Allele Frequency Data
Using Root Distances Method | Arindam RoyChoudhury |
| RapidPolygonLookup | 0.1.1 | POLYGON LOOKUP USING KD TREES | Markus Loecher |
| rapidraker | 0.1.3 | Rapid Automatic Keyword Extraction (RAKE) Algorithm | Christopher Baker |
| rapidxmlr | 0.1.0 | 'Rapidxml' C++ Header Files | David Cooley |
| RApiSerialize | 0.1.2 | R API Serialization | Dirk Eddelbuettel |
| Rapp | 0.1.0 | Easily Build Command Line Applications | Tomasz Kalinowski |
| RAppArmor | 3.2.4 | Bindings to AppArmor and Security Related Linux Tools | Jeroen Ooms |
| rappdirs | 0.3.3 | Application Directories: Determine Where to Save Data, Caches,
and Logs | Hadley Wickham |
| rapport | 1.1 | A Report Templating System | Gergely Daróczi |
| rapportools | 1.1 | Miscellaneous (Stats) Helper Functions with Sane Defaults for
Reporting | Gergely Daróczi |
| rappsflyer | 0.2.0 | Work with AppsFlyer API | Alexey Seleznev |
| rapsimng | 0.4.4 | APSIM Next Generation | Bangyou Zheng |
| RAPTOR | 1.0.1 | Row and Position Tracheid Organizer | Richard L. Peters |
| raptr | 1.0.1 | Representative and Adequate Prioritization Toolkit in R | Jeffrey O Hanson |
| raqs | 1.0.2 | Interface to the US EPA Air Quality System (AQS) API | Jaehyun Joo |
| RAQSAPI | 2.0.3 | A Simple Interface to the US EPA Air Quality System Data Mart
API | Clinton Mccrowey |
| Raquifer | 0.1.0 | Estimate the Water Influx into Hydrocarbon Reservoirs | Farshad Tabasinejad |
| rar | 0.0.3 | Risk-Adjusted Regression | Johann Gaebler |
| rare | 0.1.1 | Linear Model with Tree-Based Lasso Regularization for Rare
Features | Xiaohan Yan |
| RareComb | 1.1 | Combinatorial and Statistical Analyses of Rare Events | Vijay Kumar Pounraja |
| rareNMtests | 1.2 | Ecological and Biogeographical Null Model Tests for Comparing
Rarefaction Curves | Luis Cayuela |
| rarestR | 1.0.0 | Rarefaction-Based Species Richness Estimator | Peng Zhao |
| RARfreq | 0.1.4 | Response Adaptive Randomization with 'Frequentist' Approaches | Xiu Huang |
| Rarity | 1.3-8 | Calculation of Rarity Indices for Species and Assemblages of
Species | Boris Leroy |
| rarms | 1.0.0 | Access Data from the USDA ARMS Data API | Bowen Chen |
| rARPACK | 0.11-0 | Solvers for Large Scale Eigenvalue and SVD Problems | Yixuan Qiu |
| RaschSampler | 0.8-10 | Rasch Sampler | Patrick Mair |
| rasciidoc | 4.1.1 | Create Reports Using R and 'asciidoc' | Andreas Dominik Cullmann |
| rasclass | 0.2.2 | Supervised Raster Image Classification | Daniel Wiesmann |
| RaSEn | 3.0.0 | Random Subspace Ensemble Classification and Variable Screening | Ye Tian |
| rassta | 1.0.5 | Raster-Based Spatial Stratification Algorithms | Bryan A. Fuentes |
| raster | 3.6-26 | Geographic Data Analysis and Modeling | Robert J. Hijmans |
| rasterbc | 1.0.2 | Access Forest Ecology Layers for British Columbia in 2001-2018 | Dean Koch |
| rasterdiv | 0.3.4 | Diversity Indices for Numerical Matrices | Matteo Marcantonio |
| rasterDT | 0.3.2 | Fast Raster Summary and Manipulation | Joshua O'Brien |
| rasterImage | 0.4.0 | An Improved Wrapper of image() | Martin Seilmayer |
| rasterize | 0.1 | Rasterize Graphical Output | Paul Murrell |
| rasterKernelEstimates | 1.0.2 | Kernel Based Estimates on in-Memory Raster Images | Jonathan Lisic |
| rasterList | 0.5.20 | A Raster Where Cells are Generic Objects | Emanuele Cordano |
| rasterpdf | 0.1.1 | Plot Raster Graphics in PDF Files | Ilari Scheinin |
| rasterpic | 0.2.4 | Create a Spatial Raster from Plain Images | Diego Hernangómez |
| rasterVis | 0.51.6 | Visualization Methods for Raster Data | Oscar Perpinan Lamigueiro |
| RAT | 0.3.1 | Research Assessment Tools | Pedro Cardoso |
| Rata | 0.0.2 | Automated Test Assembly | Xiao Luo |
| ratdat | 1.1.0 | Portal Project Teaching Database | Ethan P. White |
| ratelimitr | 0.4.1 | Rate Limiting for R | Tarak Shah |
| ratematrix | 1.2.4 | Bayesian Estimation of the Evolutionary Rate Matrix | Daniel Caetano |
| rater | 1.3.1 | Statistical Models of Repeated Categorical Rating Data | Jeffrey Pullin |
| rateratio.test | 1.1 | Exact Rate Ratio Test | Michael Fay |
| raters | 2.0.3 | A Modification of Fleiss' Kappa in Case of Nominal and Ordinal
Variables | Daniele Giardiello |
| ratesci | 0.4-0 | Confidence Intervals for Comparisons of Binomial or Poisson
Rates | Pete Laud |
| RATest | 0.1.10 | Randomization Tests | Mauricio Olivares |
| RAthena | 2.6.1 | Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface) | Dyfan Jones |
| RatingScaleReduction | 1.4 | Rating Scale Reduction Procedure | Alicja Wolny-Dominiak |
| RationalExp | 0.2.2 | Rationalizing Rational Expectations. Tests and Deviations | Christophe Gaillac |
| rationalfun | 0.1-1 | Manipulation of Rational Functions | Yixuan Qiu |
| RationalMatrix | 1.0.0 | Exact Matrix Algebra for Rational Matrices | Stéphane Laurent |
| ratios | 1.2.0 | Calculating Ratios Between Two Data Sets and Correction for
Adhering Particles on Plants | Solveig Pospiech |
| rATTAINS | 1.0.0 | Access EPA 'ATTAINS' Data | Michael Schramm |
| rattle | 5.5.1 | Graphical User Interface for Data Science in R | Graham Williams |
| Ravages | 1.1.3 | Rare Variant Analysis and Genetic Simulations | Ozvan Bocher |
| ravelRy | 0.1.0 | An Interface to the 'Ravelry' API | Kaylin Pavlik |
| raven.rdf | 0.2.0 | An R Interface for Raven DataFrames (Beta0) | Phil Gaiser |
| RavenR | 2.2.0 | Raven Hydrological Modelling Framework R Support and Analysis | Robert Chlumsky |
| rAverage | 0.5-8 | Parameter Estimation for the Averaging Model of Information
Integration Theory | Davide Massidda |
| raw | 0.1.8 | R Actuarial Workshops | Brian A. Fannin |
| RawHummus | 0.3.3 | Raw Data Quality Control Tool for LC-MS System | Yonghui Dong |
| rawKS | 0.1.0 | Easily Get True-Positive Rate and False-Positive Rate and KS
Statistic | Jiaxiang Li |
| raws.profile | 0.1.0 | Managing Profiles on Amazon Web Service | Samuel Macedo |
| rayimage | 0.10.0 | Image Processing for Simulated Cameras | Tyler Morgan-Wall |
| raymolecule | 0.5.3 | Parse and Render Molecular Structures in 3D | Tyler Morgan-Wall |
| rayrender | 0.32.2 | Build and Raytrace 3D Scenes | Tyler Morgan-Wall |
| rayshader | 0.37.3 | Create Maps and Visualize Data in 2D and 3D | Tyler Morgan-Wall |
| raytracing | 0.6.0 | Rossby Wave Ray Tracing | Amanda Rehbein |
| rayvertex | 0.10.4 | 3D Software Rasterizer | Tyler Morgan-Wall |
| rb3 | 0.0.10 | Download and Parse Public Data Released by B3 Exchange | Wilson Freitas |
| rbacon | 3.2.0 | Age-Depth Modelling using Bayesian Statistics | Maarten Blaauw |
| rBahadur | 1.0.0 | Assortative Mating Simulation and Multivariate Bernoulli
Variates | Richard Border |
| RBaseX | 1.1.2 | 'BaseX' Client | Ben Engbers |
| rBayesianOptimization | 1.2.0 | Bayesian Optimization of Hyperparameters | Yachen Yan |
| rbbnp | 0.1.0 | A Bias Bound Approach to Non-Parametric Inference | Xinyu DAI |
| rbcb | 0.1.14 | R Interface to Brazilian Central Bank Web Services | Wilson Freitas |
| rbcc | 0.1.0 | Risk-Based Control Charts | Zsolt Tibor Kosztyan |
| rbch | 0.1-1 | Extraction and Analysis of Data from the Bitcoin Cash (BCH)
Blockchain | Rucknium |
| rBDAT | 1.0.0 | Implementation of BDAT Tree Taper Fortran Functions | Christian Vonderach |
| RBE3 | 1.1 | Estimation and Additional Tools for Quantile Generalized Beta
Regression Model | Diego Gallardo |
| Rbeast | 1.0.0 | Bayesian Change-Point Detection and Time Series Decomposition | Kaiguang Zhao |
| rbedrock | 0.3.2 | Analysis and Manipulation of Data from Minecraft Bedrock Edition | Reed Cartwright |
| rbenchmark | 1.0.0 | Benchmarking routine for R | Wacek Kusnierczyk |
| Rbent | 0.1.0 | Robust Bent Line Regression | Feipeng Zhang |
| RBesT | 1.7-3 | R Bayesian Evidence Synthesis Tools | Sebastian Weber |
| rBeta2009 | 1.0 | The Beta Random Number and Dirichlet Random Vector Generating
Functions | Ching-Wei Cheng |
| RBF | 2.1.1 | Robust Backfitting | Matias Salibian-Barrera |
| rbgm | 0.1.0 | Tools for 'Box Geometry Model' (BGM) Files and Topology for the
Atlantis Ecosystem Model | Michael D. Sumner |
| rbi | 1.0.0 | Interface to 'LibBi' | Sebastian Funk |
| rbi.helpers | 0.4.0 | 'rbi' Helper Functions | Sebastian Funk |
| rBiasCorrection | 0.3.4 | Correct Bias in DNA Methylation Analyses | Lorenz A. Kapsner |
| rbibutils | 2.2.16 | Read 'Bibtex' Files and Convert Between Bibliography Formats | Georgi N. Boshnakov |
| rbin | 0.2.0 | Tools for Binning Data | Aravind Hebbali |
| rbioacc | 1.2.1 | Inference and Prediction of ToxicoKinetic (TK) Models | Virgile Baudrot |
| rbioapi | 0.8.1 | User-Friendly R Interface to Biologic Web Services' API | Moosa Rezwani |
| rbiom | 1.0.3 | Read/Write, Transform, and Summarize 'BIOM' Data | Daniel P. Smith |
| rbiouml | 1.11 | Interact with BioUML Server | Ivan Yevshin |
| rbit | 1.0.0 | Binary Indexed Tree | Jialun Zhang |
| RblDataLicense | 0.2.5 | R Interface to 'Bloomberg Data License' | Emanuele Guidotti |
| Rblpapi | 0.3.14 | R Interface to 'Bloomberg' | Dirk Eddelbuettel |
| rblt | 0.2.4.7 | Bio-Logging Toolbox | Sebastien Geiger |
| rBMF | 1.1 | Boolean Matrix Factorization | Abdelmoneim Amer Desouki |
| rbmi | 1.2.6 | Reference Based Multiple Imputation | Craig Gower-Page |
| rbmn | 0.9-6 | Handling Linear Gaussian Bayesian Networks | Marco Scutari |
| RBNZ | 1.1.0 | Download Data from the Reserve Bank of New Zealand Website | Jasper Watson |
| rbooster | 1.1.0 | AdaBoost Framework for Any Classifier | Fatih Saglam |
| Rborist | 0.3-7 | Extensible, Parallelizable Implementation of the Random Forest
Algorithm | Mark Seligman |
| rbounds | 2.2 | Perform Rosenbaum Bounds Sensitivity Tests for Matched and
Unmatched Data | Luke J. Keele |
| RBPcurve | 1.2 | The Residual-Based Predictiveness Curve | Giuseppe Casalicchio |
| rbridge | 1.0.2 | Restricted Bridge Estimation | Bahadir Yuzbasi |
| rbscCI | 0.1.1 | Blyth-Still-Casella Confidence Interval | Shimeng Huang |
| rbtc | 0.1-6 | Bitcoin API | Bernhard Pfaff |
| RBtest | 1.1 | Regression-Based Approach for Testing the Type of Missing Data | Serguei Rouzinov |
| rbtt | 0.1.0 | Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error
for Non-Negative, Zero-Inflated Data | Ian Waudby-Smith |
| rbw | 0.3.2 | Residual Balancing Weights for Marginal Structural Models | Xiang Zhou |
| RCA | 2.0 | Relational Class Analysis | Amir Goldberg |
| rcaiman | 1.2.2 | CAnopy IMage ANalysis | Gastón Mauro Díaz |
| RCAL | 2.0 | Regularized Calibrated Estimation | Zhiqiang Tan |
| RCALI | 0.3.6 | Calculation of the Integrated Flow of Particles Between Polygons | Jean-Francois Rey |
| Rcan | 1.3.82 | Cancer Registry Data Analysis and Visualisation | Mathieu Laversanne |
| Rcapture | 1.4-4 | Loglinear Models for Capture-Recapture Experiments | Louis-Paul Rivest |
| RCarb | 0.1.6 | Dose Rate Modelling of Carbonate-Rich Samples | Sebastian Kreutzer |
| rcarbon | 1.5.1 | Calibration and Analysis of Radiocarbon Dates | Enrico Crema |
| rcartocolor | 2.1.1 | 'CARTOColors' Palettes | Jakub Nowosad |
| Rcatch22 | 0.2.1 | Calculation of 22 CAnonical Time-Series CHaracteristics | Trent Henderson |
| RcausalEGM | 0.3.3 | A General Causal Inference Framework by Encoding Generative
Modeling | Qiao Liu |
| rCBA | 0.4.3 | CBA Classifier | Jaroslav Kuchar |
| rcbalance | 1.8.8 | Large, Sparse Optimal Matching with Refined Covariate Balance | Samuel D. Pimentel |
| rcbayes | 0.2.0 | Estimate Rogers-Castro Migration Age Schedules with Bayesian
Models | Jessie Yeung |
| RCBR | 0.6.2 | Random Coefficient Binary Response Estimation | Roger Koenker |
| rcbsubset | 1.1.7 | Optimal Subset Matching with Refined Covariate Balance | Samuel D. Pimentel |
| rcc | 1.0.0 | Parametric Bootstrapping to Control Rank Conditional Coverage | Jean Morrison |
| rcccd | 0.3.2 | Class Cover Catch Digraph Classification | Fatih Saglam |
| rccola | 1.0.2 | Safely Manage API Keys and Load Data from a REDCap or Other
Source | Shawn Garbett |
| RCCPCA | 0.1.0 | "Retained Component Criterion for Principal Component Analysis" | Dr. Fayed Alshammri |
| rcdd | 1.6 | Computational Geometry | Charles J. Geyer |
| rcDEA | 1.0 | Robust and Conditional Data Envelopment Analysis (DEA) | Anna Mergoni |
| rcdk | 3.8.1 | Interface to the 'CDK' Libraries | Zachary Charlop-Powers |
| rcdklibs | 2.9 | The CDK Libraries Packaged for R | Zachary Charlop-Powers |
| RCDT | 1.3.0 | Fast 2D Constrained Delaunay Triangulation | Stéphane Laurent |
| RCEIM | 0.3 | R Cross Entropy Inspired Method for Optimization | Alberto Krone-Martins |
| rcens | 0.1.1 | Generate Sample Censoring | Daniel Saavedra |
| Rcereal | 1.2.1.1 | C++11 Header Files for 'cereal' | Wush Wu |
| RcextTools | 0.1.1 | Analytical Procedures in Support of Brazilian Public Sector
External Auditing | Bruno Melo |
| RCGLS | 1.0.3 | Download and Open Data Provided by the Copernicus Global Land
Service | Willemijn Vroege |
| rchallenge | 1.3.4 | A Simple Data Science Challenge System | Adrien Todeschini |
| rchemo | 0.1-1 | Dimension Reduction, Regression and Discrimination for
Chemometrics | Marion Brandolini-Bunlon |
| rcheology | 4.3.3.0 | Data on Base and Recommended Packages for Current and Previous
Versions of R | David Hugh-Jones |
| RChest | 1.0.3 | Locating Distributional Changes in Highly Dependent Time Series | Lukas Zierahn |
| RchivalTag | 0.1.9 | Analyzing and Interactive Visualization of Archival Tagging Data | Robert K. Bauer |
| Rchoice | 0.3-6 | Discrete Choice (Binary, Poisson and Ordered) Models with Random
Parameters | Mauricio Sarrias |
| rChoiceDialogs | 1.0.6.1 | 'rChoiceDialogs' Collection | Alex Lisovich |
| RChronoModel | 0.4 | Post-Processing of the Markov Chain Simulated by ChronoModel or
Oxcal | Anne Philippe |
| rciplot | 0.1.1 | Plot Jacobson-Truax Reliable Change Indices | Maximilian Hagspiel |
| RCircos | 1.2.2 | Circos 2D Track Plot | Hongen Zhang |
| rcites | 1.3.0 | R Interface to the Species+ Database | Kevin Cazelles |
| RCLabels | 0.1.10 | Manipulate Matrix Row and Column Labels with Ease | Matthew Heun |
| RClickhouse | 0.6.9 | 'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support | Christian Hotz-Behofsits |
| RClimacell | 0.1.4 | R Wrapper for the 'Climacell' API | Nikhil Agarwal |
| rclipboard | 0.2.1 | Shiny/R Wrapper for 'clipboard.js' | Sebastien Bihorel |
| RclusTool | 0.91.6 | Graphical Toolbox for Clustering and Classification of Data
Frames | Pierre-Alexandre Hebert |
| rCMA | 1.1.1 | R-to-Java Interface for 'CMA-ES' | Wolfgang Konen |
| rcmdcheck | 1.4.0 | Run 'R CMD check' from 'R' and Capture Results | Gábor Csárdi |
| Rcmdr | 2.9-2 | R Commander | John Fox |
| RcmdrMisc | 2.9-1 | R Commander Miscellaneous Functions | John Fox |
| RcmdrPlugin.aRnova | 0.0.5 | R Commander Plug-in for Repeated-Measures ANOVA | Arnaud Travert |
| RcmdrPlugin.BiclustGUI | 1.1.3.1 | 'Rcmdr' Plug-in GUI for Biclustering | De Troyer Ewoud |
| RcmdrPlugin.BWS1 | 0.2-1 | R Commander Plug-in for Case 1 Best-Worst Scaling | Hideo Aizaki |
| RcmdrPlugin.BWS2 | 0.2-1 | R Commander Plug-in for Case 2 Best-Worst Scaling | Hideo Aizaki |
| RcmdrPlugin.BWS3 | 0.2-2 | R Commander Plug-in for Case 3 Best-Worst Scaling | Hideo Aizaki |
| RcmdrPlugin.coin | 1.0-23 | Rcmdr Coin Plug-in | Daniel-Corneliu Leucuta |
| RcmdrPlugin.cpd | 0.2.0 | R Commander Plug-in for Complex Pearson Distributions | Silverio Vilchez-Lopez |
| RcmdrPlugin.DCCV | 0.1-4 | R Commander Plug-in for Dichotomous Choice Contingent Valuation | Hideo Aizaki |
| RcmdrPlugin.DCE | 0.2-2 | R Commander Plug-in for Discrete Choice Experiments | Hideo Aizaki |
| RcmdrPlugin.depthTools | 1.4 | R Commander Depth Tools Plug-in | Aurora Torrente |
| RcmdrPlugin.DoE | 0.12-5 | R Commander Plugin for (Industrial) Design of Experiments | Ulrike Groemping |
| RcmdrPlugin.EACSPIR | 0.2-3 | Plugin de R-Commander para el Manual 'EACSPIR' | David Leiva |
| RcmdrPlugin.EBM | 1.0-10 | Rcmdr Evidence Based Medicine Plug-in Package | Daniel-Corneliu Leucuta |
| RcmdrPlugin.EcoVirtual | 1.0 | Rcmdr EcoVirtual Plugin | Alexandre Adalardo de Oliveira |
| RcmdrPlugin.Export | 0.3-1 | Export R Output to LaTeX or HTML | Liviu Andronic |
| RcmdrPlugin.EZR | 1.65 | R Commander Plug-in for the EZR (Easy R) Package | Yoshinobu Kanda |
| RcmdrPlugin.FactoMineR | 1.8 | Graphical User Interface for FactoMineR | Francois Husson |
| RcmdrPlugin.GWRM | 1.0.2 | R Commander Plug-in for Fitting Generalized Waring Regression
Models | Silverio Vilchez-Lopez |
| RcmdrPlugin.HH | 1.1-51 | Rcmdr Support for the HH Package | Richard M. Heiberger |
| RcmdrPlugin.KMggplot2 | 0.2-6 | R Commander Plug-in for Data Visualization with 'ggplot2' | Triad sou. |
| RcmdrPlugin.MA | 0.0-2 | Graphical User Interface for Conducting Meta-Analyses in R | A. C. Del Re |
| RcmdrPlugin.MPAStats | 1.2.2 | R Commander Plug-in for MPA Statistics | Andrew Heiss |
| RcmdrPlugin.NMBU | 1.8.15 | R Commander Plug-in for University Level Applied Statistics | Kristian Hovde Liland |
| RcmdrPlugin.orloca | 4.8.2 | A GUI for Planar Location Problems | Manuel Munoz-Marquez |
| RcmdrPlugin.PcaRobust | 1.1.4 | R Commander Plug-in for Robust Principal Component Analysis | Achmad Fauzi Bagus F |
| RcmdrPlugin.RiskDemo | 3.2 | R Commander Plug-in for Risk Demonstration | Arto Luoma |
| RcmdrPlugin.RMTCJags | 1.0-2 | R MTC Jags 'Rcmdr' Plugin | Marcelo Goulart Correia |
| RcmdrPlugin.ROC | 1.0-19 | Rcmdr Receiver Operator Characteristic Plug-in Package | Daniel-Corneliu Leucuta |
| RcmdrPlugin.SCDA | 1.2.0 | Rcmdr Plugin for Designing and Analyzing Single-Case Experiments | Tamal Kumar De |
| RcmdrPlugin.sos | 0.3-0 | Efficiently search the R help pages | Liviu Andronic |
| RcmdrPlugin.survival | 1.3-2 | R Commander Plug-in for the 'survival' Package | John Fox |
| RcmdrPlugin.TeachingDemos | 1.2-0 | Rcmdr Teaching Demos Plug-in | John Fox |
| RcmdrPlugin.TeachStat | 1.1.3 | R Commander Plugin for Teaching Statistical Methods | Manuel A. Mosquera Rodríguez |
| RcmdrPlugin.temis | 0.7.10 | Graphical Integrated Text Mining Solution | Milan Bouchet-Valat |
| RcmdrPlugin.UCA | 5.1-1 | UCA Rcmdr Plug-in | Manuel Munoz-Marquez |
| RcmdrPlugin.WorldFlora | 1.3 | R Commander Plug-in for the 'WorldFlora' Package | Roeland Kindt |
| RCMinification | 1.2 | Random Coefficient Minification Time Series Models | L. Han |
| rCNV | 1.2.0 | Detect Copy Number Variants from SNPs Data | Piyal Karunarathne |
| rco | 1.0.2 | The R Code Optimizer | Juan Cruz Rodriguez |
| rcoder | 0.3.0 | Lightweight Data Structure for Recoding Categorical Data without
Factors | Patrick Anker |
| RColetum | 0.2.2 | Access your Coletum's Data from API | André Smaniotto |
| RColorBrewer | 1.1-3 | ColorBrewer Palettes | Erich Neuwirth |
| RColorConesa | 1.0.0 | Conesa Colors Palette | Pedro Salguero Garcia |
| rcolors | 0.1.0 | 270 'NCL' Color Tables in R Language | Dongdong Kong |
| Rcompadre | 1.3.0 | Utilities for using the 'COM(P)ADRE' Matrix Model Database | Owen Jones |
| rcompanion | 2.4.35 | Functions to Support Extension Education Program Evaluation | Salvatore Mangiafico |
| rcompendium | 1.3 | Create a Package or Research Compendium Structure | Nicolas Casajus |
| rconfig | 0.3.0 | Manage R Configuration at the Command Line | Peter Solymos |
| RConics | 1.1.1 | Computations on Conics | Emanuel Huber |
| rcontroll | 0.1.1 | Individual-Based Forest Growth Simulator 'TROLL' | Sylvain Schmitt |
| RCPA | 0.2.1 | Consensus Pathway Analysis | Ha Nguyen |
| RCPA3 | 1.2.1 | Data and Functions for R Companion to Political Analysis 3rd Ed | Barry Edwards |
| Rcplex | 0.3-6 | R Interface to CPLEX | Stefan Theussl |
| Rcpp | 1.0.12 | Seamless R and C++ Integration | Dirk Eddelbuettel |
| Rcpp11 | 3.1.2.0.1 | R and C++11 | Romain Francois |
| RcppAlgos | 2.8.3 | High Performance Tools for Combinatorics and Computational
Mathematics | Joseph Wood |
| RcppAnnoy | 0.0.22 | 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest
Neighbors | Dirk Eddelbuettel |
| RcppAPT | 0.0.9 | 'Rcpp' Interface to the APT Package Manager | Dirk Eddelbuettel |
| RcppArmadillo | 0.12.8.2.0 | 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library | Dirk Eddelbuettel |
| RcppArray | 0.3.0 | 'Rcpp' Meets 'C++' Arrays | Jon Clayden |
| RcppBDT | 0.2.6 | 'Rcpp' Bindings for the Boost Date_Time Library | Dirk Eddelbuettel |
| RcppBigIntAlgos | 1.1.0 | Factor Big Integers with the Parallel Quadratic Sieve | Joseph Wood |
| RcppCCTZ | 0.2.12 | 'Rcpp' Bindings for the 'CCTZ' Library | Dirk Eddelbuettel |
| RcppCensSpatial | 0.3.0 | Spatial Estimation and Prediction for Censored/Missing Responses | Katherine A. L. Valeriano |
| RcppCGAL | 5.6.2 | 'Rcpp' Integration for 'CGAL' | Eric Dunipace |
| RcppClassic | 0.9.13 | Deprecated 'classic' 'Rcpp' 'API' | Dirk Eddelbuettel |
| RcppClassicExamples | 0.1.3 | Examples using 'RcppClassic' to Interface R and C++ | Dirk Eddelbuettel |
| RcppClock | 1.1 | Seamless 'Rcpp' Benchmarking | Zach DeBruine |
| RcppCNPy | 0.2.12 | Read-Write Support for 'NumPy' Files via 'Rcpp' | Dirk Eddelbuettel |
| RcppColors | 0.6.0 | Color Mappings and 'C++' Header Files for Color Conversion | Stéphane Laurent |
| RcppCWB | 0.6.4 | 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB') | Andreas Blaette |
| RcppDate | 0.0.3 | 'date' C++ Header Library for Date and Time Functionality | Dirk Eddelbuettel |
| RcppDE | 0.1.7 | Global Optimization by Differential Evolution in C++ | Dirk Eddelbuettel |
| RcppDist | 0.1.1 | 'Rcpp' Integration of Additional Probability Distributions | JB Duck-Mayr |
| RcppDynProg | 0.2.1 | 'Rcpp' Dynamic Programming | John Mount |
| RcppEigen | 0.3.4.0.0 | 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra
Library | Dirk Eddelbuettel |
| RcppEnsmallen | 0.2.21.1.1 | Header-Only C++ Mathematical Optimization Library for
'Armadillo' | James Joseph Balamuta |
| RcppExamples | 0.1.9 | Examples using 'Rcpp' to Interface R and C++ | Dirk Eddelbuettel |
| RcppFarmHash | 0.0.3 | Interface to the Google 'FarmHash' Family of Hash Functions | Dirk Eddelbuettel |
| RcppFastAD | 0.0.2 | 'Rcpp' Bindings to 'FastAD' Auto-Differentiation | Dirk Eddelbuettel |
| RcppFastFloat | 0.0.4 | 'Rcpp' Bindings for the 'fast_float' Header-Only Library for
Number Parsing | Dirk Eddelbuettel |
| RcppGetconf | 0.0.3 | 'Rcpp' Interface for Querying System Configuration Variables | Dirk Eddelbuettel |
| RcppGreedySetCover | 0.1.0 | Greedy Set Cover | Matthias Kaeding |
| RcppGSL | 0.3.13 | 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices | Dirk Eddelbuettel |
| RcppHMM | 1.2.2 | Rcpp Hidden Markov Model | Roberto A. Cardenas-Ovando |
| RcppHNSW | 0.6.0 | 'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest
Neighbors | James Melville |
| RcppHungarian | 0.3 | Solves Minimum Cost Bipartite Matching Problems | Justin Silverman |
| RcppInt64 | 0.0.4 | 'Rcpp'-Based Helper Functions to Pass 'Int64' and 'nanotime'
Values Between 'R' and 'C++' | Dirk Eddelbuettel |
| RcppJagger | 0.0.2 | An R Wrapper for Jagger | Shusei Eshima |
| RcppMeCab | 0.0.1.2 | 'rcpp' Wrapper for 'mecab' Library | Junhewk Kim |
| RcppML | 0.3.7 | Rcpp Machine Learning Library | Zachary DeBruine |
| RcppMsgPack | 0.2.3 | 'MsgPack' C++ Header Files and Interface Functions for R | Dirk Eddelbuettel |
| RcppNLoptExample | 0.0.1 | 'Rcpp' Package Illustrating Header-Only Access to 'NLopt' | Dirk Eddelbuettel |
| RcppNumerical | 0.6-0 | 'Rcpp' Integration for Numerical Computing Libraries | Yixuan Qiu |
| RcppParallel | 5.1.7 | Parallel Programming Tools for 'Rcpp' | Kevin Ushey |
| RcppProgress | 0.4.2 | An Interruptible Progress Bar with OpenMP Support for C++ in R
Packages | Karl Forner |
| RcppQuantuccia | 0.1.2 | R Bindings to the Calendaring Functionality of 'QuantLib' | Dirk Eddelbuettel |
| RcppRedis | 0.2.4 | 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library | Dirk Eddelbuettel |
| RcppRoll | 0.3.0 | Efficient Rolling / Windowed Operations | Kevin Ushey |
| RcppSimdJson | 0.1.11 | 'Rcpp' Bindings for the 'simdjson' Header-Only Library for
'JSON' Parsing | Dirk Eddelbuettel |
| RcppSMC | 0.2.7 | Rcpp Bindings for Sequential Monte Carlo | Dirk Eddelbuettel |
| RcppSpdlog | 0.0.16 | R and C++ Interfaces to 'spdlog' C++ Header Library for Logging | Dirk Eddelbuettel |
| RcppStreams | 0.1.3 | 'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream
Processing | Dirk Eddelbuettel |
| RcppThread | 2.1.7 | R-Friendly Threading in C++ | Thomas Nagler |
| rcpptimer | 1.1.0 | 'Rcpp' Tic-Toc Timer with 'OpenMP' Support | Jonathan Berrisch |
| RcppTN | 0.2-2 | Rcpp-Based Truncated Normal Distribution RNG and Family | Jonathan Olmsted |
| RcppTOML | 0.2.2 | 'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language" | Dirk Eddelbuettel |
| RcppUUID | 1.1.1 | Generating Universally Unique Identificators | Artem Klevtsov |
| RcppXPtrUtils | 0.1.2 | XPtr Add-Ons for 'Rcpp' | Iñaki Ucar |
| RcppXsimd | 7.1.6 | Xsimd C++ Header-Only Library Files | Marc A. Suchard |
| RcppXts | 0.0.6 | Interface the 'xts' API via 'Rcpp' | Dirk Eddelbuettel |
| RcppZiggurat | 0.1.6 | 'Rcpp' Integration of Different "Ziggurat" Normal RNG
Implementations | Dirk Eddelbuettel |
| Rcrawler | 0.1.9-1 | Web Crawler and Scraper | Salim Khalil |
| RCreliability | 0.1.0 | Correct Bias in Estimated Regression Coefficients | Yu Lu |
| rcrimeanalysis | 0.5.0 | An Implementation of Crime Analysis Methods | Jamie Spaulding |
| RCriteo | 1.0.2 | Loading Criteo Data into R | Johannes Burkhardt |
| Rcriticor | 2.0 | Pierre-Goldwin Correlogram | J.S. Pierre |
| RCRnorm | 0.0.2 | An Integrated Regression Model for Normalizing 'NanoString
nCounter' Data | Gaoxiang Jia |
| rcrossref | 1.2.0 | Client for Various 'CrossRef' 'APIs' | Najko Jahn |
| Rcsdp | 0.1.57.5 | R Interface to the CSDP Semidefinite Programming Library | Hector Corrada Bravo |
| RCSF | 1.0.2 | Airborne LiDAR Filtering Method Based on Cloth Simulation | Jean-Romain Roussel |
| rcssci | 0.4.0 | Visualization of Restricted Cubic Splines | Zhiqiang Nie |
| Rcssplot | 1.0.0 | Styling of Graphics using Cascading Style Sheets | Tomasz Konopka |
| RCT | 1.2 | Assign Treatments, Power Calculations, Balances, Impact
Evaluation of Experiments | Isidoro Garcia-Urquieta |
| RCT2 | 0.0.1 | Designing and Analyzing Two-Stage Randomized Experiments | Kosuke Imai |
| rct3 | 1.0.4 | Predict Fish Year-Class Strength from Survey Data | Colin Millar |
| RCTrep | 1.2.0 | Validation of Estimates of Treatment Effects in Observational
Data | Lingjie Shen |
| RCTS | 0.2.4 | Clustering Time Series While Resisting Outliers | Ewoud Heyndels |
| rcube | 0.5 | Simulations and Visualizations of Rubik's Cube (with Mods) | Wojciech Rosa |
| RCurl | 1.98-1.14 | General Network (HTTP/FTP/...) Client Interface for R | CRAN Team |
| Rcurvep | 1.3.1 | Concentration-Response Data Analysis using Curvep | Jui-Hua Hsieh |
| RCytoGPS | 1.2.5 | Using Cytogenetics Data in R | Kevin R. Coombes |
| RCzechia | 1.12.0 | Spatial Objects of the Czech Republic | Jindra Lacko |
| Rd2md | 1.0.0 | Markdown Reference Manuals | Julian Busch |
| Rd2roxygen | 1.15 | Convert Rd to 'Roxygen' Documentation | Yihui Xie |
| rD3plot | 1.0.68 | Interactive Networks, Timelines, Barplots, Galleries with
'D3.js' | Modesto Escobar |
| rda | 1.2-1 | Shrunken Centroids Regularized Discriminant Analysis | Valentin Todorov |
| rdacca.hp | 1.1-0 | Hierarchical and Variation Partitioning for Canonical Analysis | Jiangshan Lai |
| rdaisi | 0.1.3 | R Client for the Daisi Microservice Platform | Eric Hare |
| rdatacite | 0.5.4 | Client for the 'DataCite' API | Bianca Kramer |
| rDataPipeline | 0.54.1 | Functions to Interact with the 'FAIR Data Pipeline' | Sonia Mitchell |
| rdataretriever | 3.1.0 | R Interface to the Data Retriever | Henry Senyondo |
| rdbnomics | 0.6.4 | Download DBnomics Data | Sebastien Galais |
| rdd | 0.57 | Regression Discontinuity Estimation | Drew Dimmery |
| rddapp | 1.3.2 | Regression Discontinuity Design Application | Felix Thoemmes |
| rddensity | 2.5 | Manipulation Testing Based on Density Discontinuity | Xinwei Ma |
| rddi | 0.1.1 | R Interface to DDI Codebook 2.5 | Daniel Woulfin |
| rddtools | 1.6.0 | Toolbox for Regression Discontinuity Design ('RDD') | Bastiaan Quast |
| rde | 0.1.0 | Reproducible Data Embedding | Stefan Kloppenborg |
| rDEA | 1.2-8 | Robust Data Envelopment Analysis (DEA) for R | Jaak Simm |
| rdecision | 1.2.0 | Decision Analytic Modelling in Health Economics | Andrew Sims |
| rDecode | 0.1.0 | Descent-Based Calibrated Optimal Direct Estimation | Chi Seng Pun |
| rdeps | 0.2 | Identify External Packages Used in a Project | Nicolas Casajus |
| rdflib | 0.2.8 | Tools to Manipulate and Query Semantic Data | Carl Boettiger |
| rdfp | 0.1.4 | An Implementation of the 'DoubleClick for Publishers' API | Steven M. Mortimer |
| RDHonest | 1.0.0 | Honest Inference in Regression Discontinuity Designs | Michal Kolesár |
| rdhs | 0.8.1 | API Client and Dataset Management for the Demographic and Health
Survey (DHS) Data | OJ Watson |
| rdi | 1.0.0 | Repertoire Dissimilarity Index | Christopher Bolen |
| Rdiagnosislist | 1.2 | Manipulate SNOMED CT Diagnosis Lists | Anoop Shah |
| rdian | 0.1.1 | Client Library for The Guardian | Oliver Keyes |
| Rdice | 1.0.0 | A Collection of Functions to Experiment Dice Rolls | Gennaro Tedesco: |
| RDieHarder | 0.2.6 | R Interface to the 'DieHarder' RNG Test Suite | Dirk Eddelbuettel |
| Rdimtools | 1.1.2 | Dimension Reduction and Estimation Methods | Kisung You |
| rdist | 0.0.5 | Calculate Pairwise Distances | Nello Blaser |
| Rdistance | 3.0.0 | Distance-Sampling Analyses for Density and Abundance Estimation | Trent McDonald |
| rdiversity | 2.2.0 | Measurement and Partitioning of Similarity-Sensitive
Biodiversity | Richard Reeve |
| rdlocrand | 1.0 | Local Randomization Methods for RD Designs | Gonzalo Vazquez-Bare |
| RDM | 0.1.1 | Quantify Dependence using Rearranged Dependence Measures | Christopher Strothmann |
| RDML | 1.0 | Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format
Files | Konstantin A. Blagodatskikh |
| rdmulti | 1.1 | Analysis of RD Designs with Multiple Cutoffs or Scores | Gonzalo Vazquez-Bare |
| rDNAse | 1.1-1 | Generating Various Numerical Representation Schemes of DNA
Sequences | Min-feng Zhu |
| rdnb | 0.1-5 | R Interface to the 'Deutsche Nationalbibliothek (German National
Library) API' | Christian Graul |
| RDnp | 1.3 | Robust Test for Complete Independence in High-Dimensions | Hasan BULUT |
| rdoc | 0.1.0 | Colourised R Documentation | Matthew de Queljoe |
| RDocumentation | 0.8.2 | Integrate R with 'RDocumentation' | Ludovic Vannoorenberghe |
| rdomains | 0.2.1 | Get the Category of Content Hosted by a Domain | Gaurav Sood |
| RDota2 | 0.1.6 | An R Steam API Client for Valve's Dota2 | Theo Boutaris |
| rdoxygen | 1.0.0 | Create Doxygen Documentation for Source Code | Clemens Schmid |
| RDP | 0.3.0 | The Ramer-Douglas-Peucker Algorithm | Robert Dahl Jacobsen |
| Rdpack | 2.6 | Update and Manipulate Rd Documentation Objects | Georgi N. Boshnakov |
| rdpower | 2.2 | Power Calculations for RD Designs | Gonzalo Vazquez-Bare |
| rdracor | 1.0.3 | Access to the 'DraCor' API | Ivan Pozdniakov |
| rdrobust | 2.2 | Robust Data-Driven Statistical Inference in
Regression-Discontinuity Designs | Sebastian Calonico |
| Rdrw | 1.0.2 | Univariate and Multivariate Damped Random Walk Processes | Hyungsuk Tak |
| rdryad | 1.0.0 | Access for Dryad Web Services | Scott Chamberlain |
| RDS | 0.9-9 | Respondent-Driven Sampling | Mark S. Handcock |
| Rdsdp | 1.0.5.2.1 | R Interface to DSDP Semidefinite Programming Library | Zhisu Zhu |
| rdss | 1.0.10 | Companion Datasets and Functions for Research Design in the
Social Sciences | Graeme Blair |
| RDSsamplesize | 0.5.0 | RDS Sample Size Estimation and Power Calculation | Yibo Wang |
| RDStreeboot | 1.0 | RDS Tree Bootstrap Method | Aaron J. Baraff |
| Rdta | 1.0.1 | Data Transforming Augmentation for Linear Mixed Models | Hyungsuk Tak |
| rdtLite | 1.4 | Provenance Collector | Barbara Lerner |
| Rduino | 0.1 | A Microcontroller Interface | Peter Hoff |
| Rduinoiot | 0.1.0 | 'Arduino Iot Cloud API' R Client | Flavio Leccese |
| rdwd | 1.8.0 | Select and Download Climate Data from 'DWD' (German Weather
Service) | Berry Boessenkool |
| rdwplus | 1.0.0 | An Implementation of IDW-PLUS | Alan Pearse |
| re2 | 0.1.3 | R Interface to Google RE2 (C++) Regular Expression Library | Girish Palya |
| react | 2024.1.0 | Reactivity Helper for 'shiny' | Romain François |
| reactable | 0.4.4 | Interactive Data Tables for R | Greg Lin |
| reactable.extras | 0.2.0 | Extra Features for 'reactable' Package | Recle Vibal |
| reactablefmtr | 2.0.0 | Streamlined Table Styling and Formatting for Reactable | Kyle Cuilla |
| reactCheckbox | 1.0.0 | Checkbox Group Input for 'Shiny' | Stéphane Laurent |
| reactlog | 1.1.1 | Reactivity Visualizer for 'shiny' | Barret Schloerke |
| reactR | 0.5.0 | React Helpers | Kent Russell |
| ReacTran | 1.4.3.1 | Reactive Transport Modelling in 1d, 2d and 3d | Karline Soetaert |
| ReAD | 1.0.1 | Powerful Replicability Analysis of Genome-Wide Association
Studies | Yan Li |
| read.gb | 2.2 | Open GenBank Files | Robin Mercier |
| read.gt3x | 1.2.0 | Parse 'ActiGraph' 'GT3X'/'GT3X+' 'Accelerometer' Data | Tuomo Nieminen |
| readABF | 1.0.2 | Loads Axon Binary Files | Stanislav Syekirin |
| readabs | 0.4.14 | Download and Tidy Time Series Data from the Australian Bureau of
Statistics | Matt Cowgill |
| readbitmap | 0.1.5 | Simple Unified Interface to Read Bitmap Images
(BMP,JPEG,PNG,TIFF) | Gregory Jefferis |
| readBrukerFlexData | 1.9.2 | Reads Mass Spectrometry Data in Bruker *flex Format | Sebastian Gibb |
| readbulk | 1.1.4 | Read and Combine Multiple Data Files | Pascal J. Kieslich |
| ReadDIM | 0.2.11 | Read ESA SNAP Processed Raster Format in R | Subhadip Datta |
| reader | 1.0.6 | Suite of Functions to Flexibly Read Data from Files | Nicholas Cooper |
| readHAC | 1.0 | Read Acoustic HAC Format | Kasper Kristensen |
| readit | 1.0.0 | Effortlessly Read Any Rectangular Data | Ryan Price |
| readJDX | 0.6.4 | Import Data in the JCAMP-DX Format | Bryan A. Hanson |
| readmet | 1.7.1 | Read some less Popular Formats Used in Meteorology | Clemens Druee |
| readmission | 0.1.0 | Hospital Readmission Data for Patients with Diabetes | Simon Couch |
| readMLData | 0.9-7 | Reading Machine Learning Benchmark Data Sets in Different
Formats | Petr Savicky |
| readmnist | 1.0.6 | Read MNIST Dataset | Jiang Junfeng |
| readmoRe | 0.2-12 | Utilities for Importing and Manipulating Biomedical Data Files | Vidal Fey |
| readMzXmlData | 2.8.3 | Reads Mass Spectrometry Data in mzXML Format | Sebastian Gibb |
| readNSx | 0.0.4 | Read 'Blackrock-Microsystems' Files ('NEV', 'NSx') | Zhengjia Wang |
| readobj | 0.4.1 | Fast Reader for 'Wavefront' OBJ 3D Scene Files | Gregory Jefferis |
| readODS | 2.2.0 | Read and Write ODS Files | Chung-hong Chan |
| readOffice | 0.2.2 | Read Text Out of Modern Office Files | Mark Ewing |
| readr | 2.1.5 | Read Rectangular Text Data | Jennifer Bryan |
| readrba | 0.1.8 | Download and Tidy Data from the Reserve Bank of Australia | Matt Cowgill |
| readroper | 0.9.3 | Simply Read ASCII Single and Multicard Polling Datasets | Sam Petulla |
| readsdmx | 0.3.1 | Read SDMX-XML Data | Matthew de Queljoe |
| readsdr | 0.3.0 | Translate Models from System Dynamics Software into 'R' | Jair Andrade |
| readsparse | 0.1.5-6 | Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM'
Formats | David Cortes |
| readstata13 | 0.10.1 | Import 'Stata' Data Files | Sebastian Jeworutzki |
| readtext | 0.91 | Import and Handling for Plain and Formatted Text Files | Kenneth Benoit |
| readtextgrid | 0.1.2 | Read in a 'Praat' 'TextGrid' File | Tristan Mahr |
| readwritesqlite | 0.2.0 | Enhanced Reading and Writing for 'SQLite' Databases | Joe Thorley |
| readxl | 1.4.3 | Read Excel Files | Jennifer Bryan |
| readxlsb | 0.1.61 | Read 'Excel' Binary (.xlsb) Workbooks | Michael Allen |
| realtest | 0.2.3 | Where Expectations Meet Reality: Realistic Unit Testing | Marek Gagolewski |
| realTimeloads | 1.0.0 | Analyte Flux and Load from Estimates of Concentration and
Discharge | Daniel Livsey |
| RealVAMS | 0.4-6 | Multivariate VAM Fitting | Andrew Karl |
| reappraised | 0.1.1 | Statistical Tools for Assessing Publication Integrity of Groups
of Trials | Mark Bolland |
| Rearrangement | 2.1 | Monotonize Point and Interval Functional Estimates by
Rearrangement | Ivan Fernandez-Val |
| rearrr | 0.3.4 | Rearranging Data | Ludvig Renbo Olsen |
| reasonabletools | 0.1 | Clean Water Quality Data for NPDES Reasonable Potential Analyses | Matthew Reusswig |
| REAT | 3.0.3 | Regional Economic Analysis Toolbox | Thomas Wieland |
| REBayes | 2.54 | Empirical Bayes Estimation and Inference | Roger Koenker |
| rebib | 0.3.2 | Convert and Aggregate Bibliographies | Abhishek Ulayil |
| rebird | 1.3.0 | R Client for the eBird Database of Bird Observations | Sebastian Pardo |
| rebmix | 2.15.0 | Finite Mixture Modeling, Clustering & Classification | Marko Nagode |
| rebus | 0.1-3 | Build Regular Expressions in a Human Readable Way | Richard Cotton |
| rebus.base | 0.0-3 | Core Functionality for the 'rebus' Package | Richard Cotton |
| rebus.datetimes | 0.0-2 | Date and Time Extensions for the 'rebus' Package | Richard Cotton |
| rebus.numbers | 0.0-1 | Numeric Extensions for the 'rebus' Package | Richard Cotton |
| rebus.unicode | 0.0-2 | Unicode Extensions for the 'rebus' Package | Richard Cotton |
| RECA | 1.7 | Relevant Component Analysis for Supervised Distance Metric
Learning | Nan Xiao |
| recapr | 0.4.4 | Two Event Mark-Recapture Experiment | Matt Tyers |
| RecAssoRules | 1.0 | Recursive Mining for Frequent Pattern and Confident Association
Rules | Louis Raimbault |
| receptiviti | 0.1.8 | Text Analysis Through the 'Receptiviti' API | Kent English |
| recexcavAAR | 0.3.0 | 3D Reconstruction of Archaeological Excavations | Clemens Schmid |
| rechonest | 1.2 | R Interface to Echo Nest API | Mukul Chaware |
| recipes | 1.0.10 | Preprocessing and Feature Engineering Steps for Modeling | Max Kuhn |
| reclin2 | 0.5.0 | Record Linkage Toolkit | Jan van der Laan |
| recluster | 2.9 | Ordination Methods for the Analysis of Beta-Diversity Indices | Leonardo Dapporto |
| recmap | 1.0.17 | Compute the Rectangular Statistical Cartogram | Christian Panse |
| recmetrics | 0.1.0 | Psychometric Evaluation Using Relative Excess Correlations | R. Noah Padgett |
| Recocrop | 0.4-1 | Estimating Environmental Suitability for Plants | Robert J. Hijmans |
| recodeflow | 0.1.0 | Interface Functions for PMML Creation, and Data Recoding | Rostyslav Vyuha |
| recogito | 0.2.1 | Interactive Annotation of Text and Images | Jan Wijffels |
| recolorize | 0.1.0 | Color-Based Image Segmentation | Hannah Weller |
| recom | 1.0 | 'Recom' REmoves COMments of Rscript File for you | Pradeep Suthar |
| recombinator | 1.0.1 | Recombinate Nested Lists to Dataframes | Peter Hurford |
| recometrics | 0.1.6-3 | Evaluation Metrics for Implicit-Feedback Recommender Systems | David Cortes |
| recommenderlab | 1.0.6 | Lab for Developing and Testing Recommender Algorithms | Michael Hahsler |
| recommenderlabBX | 0.2-0 | Book-Crossing Dataset (BX) for 'recommenderlab' | Michael Hahsler |
| recommenderlabJester | 0.2-0 | Jester Dataset for 'recommenderlab' | Michael Hahsler |
| Recon | 0.3.0.0 | Computational Tools for Economics | Pedro Cavalcante Oliveira |
| reconstructKM | 0.3.0 | Reconstruct Individual-Level Data from Published KM Plots | Ryan Sun |
| reconstructr | 2.0.4 | Session Reconstruction and Analysis | Os Keyes |
| recorder | 0.8.2 | Toolkit to Validate New Data for a Predictive Model | Lars Kjeldgaard |
| RecordLinkage | 0.4-12.4 | Record Linkage Functions for Linking and Deduplicating Data Sets | Murat Sariyar |
| Records | 1.0 | Record Values and Record Times | Magdalena Chrapek |
| RecordTest | 2.2.0 | Inference Tools in Time Series Based on Record Statistics | Jorge Castillo-Mateo |
| recosystem | 0.5.1 | Recommender System using Matrix Factorization | Yixuan Qiu |
| recurrentpseudo | 1.0.0 | Creates Pseudo-Observations and Analysis for Recurrent Event
Data | Julie Kjærulff Furberg |
| recurse | 1.3.0 | Computes Revisitation Metrics for Trajectory Data | Chloe Bracis |
| red | 1.6.1 | IUCN Redlisting Tools | Vasco V. Branco |
| reda | 0.5.4 | Recurrent Event Data Analysis | Wenjie Wang |
| ReDaMoR | 0.7.4 | Relational Data Modeler | Patrice Godard |
| REdaS | 0.9.4 | Companion Package to the Book 'R: Einführung durch angewandte
Statistik' | Marco Johannes Maier |
| redbookperu | 0.0.2 | Access and Analyze the Data from the Red Book of Endemic Plants
of Peru | Paul E. Santos Andrade |
| redcapAPI | 2.8.4 | Interface to 'REDCap' | Shawn Garbett |
| REDCapCAST | 24.2.1 | REDCap Castellated Data Handling | Andreas Gammelgaard Damsbo |
| REDCapDM | 0.9.8 | 'REDCap' Data Management | João Carmezim |
| REDCapExporter | 0.2.2 | Automated Construction of R Data Packages from REDCap Projects | Peter DeWitt |
| REDCapR | 1.1.0 | Interaction Between R and REDCap | Will Beasley |
| REDCapTidieR | 1.1.0 | Extract 'REDCap' Databases into Tidy 'Tibble's | Richard Hanna |
| redditadsR | 0.1.0 | Get Reddit Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| RedditExtractoR | 3.0.9 | Reddit Data Extraction Toolkit | Ivan Rivera |
| reddPrec | 2.0.1 | Reconstruction of Daily Data - Precipitation | Roberto Serrano-Notivoli |
| REddyProc | 1.3.3 | Post Processing of (Half-)Hourly Eddy-Covariance Measurements | Thomas Wutzler |
| REddyProcNCDF | 1.1.4 | Reading Data from NetCDF Files for 'REddyProc' | Thomas Wutzler |
| REDI | 1.0.0 | Robust Exponential Decreasing Index | Alexia Grenouillat |
| ReDirection | 1.0.1 | Predict Dominant Direction of Reactions of a Biochemical Network | Siddhartha Kundu |
| RedisBaseContainer | 1.0.1 | The Container for the DockerParallel Package | Jiefei Wang |
| Rediscover | 0.3.2 | Identify Mutually Exclusive Mutations | Juan A. Ferrer-Bonsoms |
| redist | 4.2.0 | Simulation Methods for Legislative Redistricting | Christopher T. Kenny |
| redistmetrics | 1.0.7 | Redistricting Metrics | Christopher T. Kenny |
| redland | 1.0.17-18 | RDF Library Bindings in R | Matthew B. Jones |
| redlistr | 1.0.4 | Tools for the IUCN Red List of Ecosystems and Species | Calvin Lee |
| rEDM | 1.15.4 | Empirical Dynamic Modeling ('EDM') | Joseph Park |
| Redmonder | 0.2.0 | Microsoft(r)-Inspired Color Palettes | Pedro Mac Dowell Innecco |
| redoc | 2.0.0.75 | Generates 'Redoc' Documentation from an 'OpenAPI' Specification | Bruno Tremblay |
| redR | 1.0.1 | REgularization by Denoising (RED) | Adriano Passos |
| redux | 1.1.4 | R Bindings to 'hiredis' | Rich FitzJohn |
| REEMtree | 0.90.5 | Regression Trees with Random Effects for Longitudinal (Panel)
Data | Wenbo Jing |
| ref.ICAR | 2.0.1 | Objective Bayes Intrinsic Conditional Autoregressive Model for
Areal Data | Erica M. Porter |
| REFA | 0.1.0 | Robust Exponential Factor Analysis | Jiaqi Hu |
| refdb | 0.1.1 | A DNA Reference Library Manager | Francois Keck |
| refer | 0.1.0 | Create Object References | Christopher Mann |
| referenceIntervals | 1.3.1 | Reference Intervals | Daniel Finnegan |
| REffectivePred | 1.0.0 | Pandemic Prediction Model in an SIRS Framework | Razvan Romanescu |
| refineR | 1.6.1 | Reference Interval Estimation using Real-World Data | Tatjana Ammer |
| refinr | 0.3.3 | Cluster and Merge Similar Values Within a Character Vector | Chris Muir |
| refitME | 1.2.2 | Measurement Error Modelling using MCEM | Jakub Stoklosa |
| reflimR | 1.0.6 | Reference Limit Estimation Using Routine Laboratory Data | Georg Hoffmann |
| RefManageR | 1.4.0 | Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management | Mathew W. McLean |
| reformulas | 0.2.0 | Machinery for Processing Random Effect Formulas | Ben Bolker |
| refreg | 0.1.1 | Conditional Multivariate Reference Regions | Oscar Lado-Baleato |
| refreshr | 0.1.0 | Work with Refreshable Datasets that Update their Data
Automatically | Joachim Zuckarelli |
| refseqR | 1.0.1 | Common Computational Operations Working with RefSeq Entries
(GenBank) | Jose V. Die |
| refset | 0.1.1 | Subsets with Reference Semantics | "David Hugh-Jones" |
| refuge | 0.3.3 | Locate Trans and Intersex-Friendly Toilets | Evan Odell |
| refugees | 2023.6.0 | UNHCR Refugee Population Statistics Database | Hisham Galal |
| refund | 0.1-35 | Regression with Functional Data | Julia Wrobel |
| refund.shiny | 1.0 | Interactive Plotting for Functional Data Analyses | Julia Wrobel |
| RegAssure | 1.0.0 | Streamlined Integration of Regression Assumption | Nicolás Rubio García |
| regcensus | 1.0.1 | Accessing Data from the 'RegCensusAPI' | Jonathan Nelson |
| regclass | 1.6 | Tools for an Introductory Class in Regression and Modeling | Adam Petrie |
| RegCombin | 0.4.1 | Partially Linear Regression under Data Combination | Christophe Gaillac |
| regda | 1.0 | Regularised Discriminant Analysis | Michail Tsagris |
| regDIF | 1.1.1 | Regularized Differential Item Functioning | William Belzak |
| REGENT | 1.0.6 | Risk Estimation for Genetic and Environmental Traits | Daniel Crouch |
| regexPipes | 0.0.1 | Wrappers Around 'base::grep()' for Use with Pipes | Billy Buchanan |
| regexSelect | 1.0.0 | Regular Expressions in 'shiny' Select Lists | Jonathan Sidi |
| reghelper | 1.1.2 | Helper Functions for Regression Analysis | Jeffrey Hughes |
| regional | 0.3.3 | Intra- and Inter-Regional Similarity | Jakub Nowosad |
| regioncode | 0.1.2 | Convert Region Names and Division Codes of China Over Years | Yue Hu |
| regions | 0.1.8 | Processing Regional Statistics | Daniel Antal |
| registr | 2.1.0 | Curve Registration for Exponential Family Functional Data | Julia Wrobel |
| registry | 0.5-1 | Infrastructure for R Package Registries | David Meyer |
| RegKink | 0.1.0 | Regression Kink with a Time-Varying Threshold | Lixiong Yang |
| reglogit | 1.2-7 | Simulation-Based Regularized Logistic Regression | Robert B. Gramacy |
| regmed | 2.1.0 | Regularized Mediation Analysis | Jason Sinnwell |
| regmedint | 1.0.1 | Regression-Based Causal Mediation Analysis with Interaction and
Effect Modification Terms | Yi Li |
| regmhmm | 1.0.0 | 'regmhmm' Fits Hidden Markov Models with Regularization | Man Chong Leong |
| regnet | 1.0.1 | Network-Based Regularization for Generalized Linear Models | Jie Ren |
| rego | 1.6.1 | Automatic Time Series Forecasting and Missing Value Imputation | Davide Altomare |
| regplot | 1.1 | Enhanced Regression Nomogram Plot | Roger Marshall |
| regport | 0.3.0 | Regression Model Processing Port | Shixiang Wang |
| regr.easy | 1.0.2 | Easy Linear, Quadratic and Cubic Regression Models | Wagner Martins dos Santos |
| regrap | 1.0.1 | Reverse Graphical Approaches | Jiangtao Gou |
| regress | 1.3-21 | Gaussian Linear Models with Linear Covariance Structure | Karl W Broman |
| regressinator | 0.1.3 | Simulate and Diagnose (Generalized) Linear Models | Alex Reinhart |
| RegressionFactory | 0.7.4 | Expander Functions for Generating Full Gradient and Hessian from
Single-Slot and Multi-Slot Base Distributions | Alireza S. Mahani |
| regressoR | 3.0.2 | Regression Data Analysis System | Oldemar Rodriguez |
| regrrr | 0.1.3 | Toolkit for Compiling, (Post-Hoc) Testing, and Plotting
Regression Results | Rui K. Yang |
| regRSM | 0.5 | Random Subspace Method (RSM) for Linear Regression | Pawel Teisseyre |
| RegSDC | 0.7.0 | Information Preserving Regression-Based Tools for Statistical
Disclosure Control | Øyvind Langsrud |
| regsem | 1.9.5 | Regularized Structural Equation Modeling | Ross Jacobucci |
| regspec | 2.7 | Non-Parametric Bayesian Spectrum Estimation for Multirate Data | Ben Powell |
| regsubseq | 0.12 | Detect and Test Regular Sequences and Subsequences | Yanming Di |
| regtomean | 1.1 | Regression Toward the Mean | Daniela Recchia |
| regtools | 1.7.0 | Regression and Classification Tools | Norm Matloff |
| rehh | 3.2.2 | Searching for Footprints of Selection using 'Extended Haplotype
Homozygosity' Based Tests | Alexander Klassmann |
| rehh.data | 1.0.0 | Data Only: Searching for Footprints of Selection using Haplotype
Homozygosity Based Tests | Mathieu Gautier |
| rehydratoR | 0.5.2 | Downloads Tweets from a List of Tweet IDs | Kevin Coakley |
| ReinforcementLearning | 1.0.5 | Model-Free Reinforcement Learning | Nicolas Proellochs |
| ReIns | 1.0.14 | Functions from "Reinsurance: Actuarial and Statistical Aspects" | Tom Reynkens |
| reinstallr | 0.1.5 | Search and Install Missing Packages | Calli Gross |
| reinsureR | 0.1.0 | Reinsurance Treaties Application | Arnaud Buzzi |
| relaimpo | 2.2-7 | Relative Importance of Regressors in Linear Models | Ulrike Groemping |
| relatable | 1.0.0 | Functions for Mapping Key-Value Pairs, Many-to-Many,
One-to-Many, and Many-to-One Relations | Dominic Jarkey |
| Relatedness | 2.0 | Maximum Likelihood Estimation of Relatedness using EM Algorithm | Fabien Laporte |
| relations | 0.6-13 | Data Structures and Algorithms for Relations | Kurt Hornik |
| reldist | 1.7-2 | Relative Distribution Methods | Mark S. Handcock |
| RelDists | 1.0.0 | Estimation for some Reliability Distributions | Jaime Mosquera |
| Relectoral | 0.1.0 | Electoral Analysis | Miguel Rodríguez Asensio |
| relevance | 2.1 | Calculate Relevance and Significance Measures | Werner A. Stahel |
| relevent | 1.2-1 | Relational Event Models | Carter T. Butts |
| relgam | 1.0 | Reluctant Generalized Additive Models | Kenneth Tay |
| reliabilitydiag | 0.2.1 | Reliability Diagrams Using Isotonic Regression | Alexander I. Jordan |
| ReliabilityTheory | 0.3.0 | Structural Reliability Analysis | Louis Aslett |
| relimp | 1.0-5 | Relative Contribution of Effects in a Regression Model | David Firth |
| RelimpPCR | 0.3.0 | Relative Importance PCA Regression | Michael Hernandez |
| relliptical | 1.3.0 | The Truncated Elliptical Family of Distributions | Katherine A. L. Valeriano |
| relSim | 1.0.0 | Relative Simulator | James M. Curran |
| relsurv | 2.2-9 | Relative Survival | Damjan Manevski |
| rem | 1.3.1 | Relational Event Models (REM) | Laurence Brandenberger |
| rema | 0.0.1 | Rare Event Meta Analysis | Brinley N. Zabriskie |
| remaCor | 0.0.18 | Random Effects Meta-Analysis for Correlated Test Statistics | Gabriel Hoffman |
| remap | 0.3.1 | Regional Spatial Modeling with Continuous Borders | Jadon Wagstaff |
| rematch | 2.0.0 | Match Regular Expressions with a Nicer 'API' | Gabor Csardi |
| rematch2 | 2.1.2 | Tidy Output from Regular Expression Matching | Gábor Csárdi |
| remedy | 0.1.0 | 'RStudio' Addins to Simplify 'Markdown' Writing | Colin Fay |
| ReMFPCA | 1.0.0 | Regularized Multivariate Functional Principal Component Analysis | Hossein Haghbin |
| remify | 3.2.5 | Processing and Transforming Relational Event History Data | Giuseppe Arena |
| remindR | 0.0.1 | Insert and Extract "Reminders" from Function Comments | Bert Gunter |
| remiod | 1.0.2 | Reference-Based Multiple Imputation for Ordinal/Binary Response | Tony Wang |
| REMLA | 1.0 | Robust Expectation-Maximization Estimation for Latent Variable
Models | Bryan Ortiz-Torres |
| rEMM | 1.2.0 | Extensible Markov Model for Modelling Temporal Relationships
Between Clusters | Michael Hahsler |
| remmy | 0.1.0 | API Client for 'Lemmy' | Long Nguyen |
| remote | 1.2.1 | Empirical Orthogonal Teleconnections in R | Tim Appelhans |
| remotePARTS | 1.0.4 | Spatiotemporal Autoregression Analyses for Large Data Sets | Clay Morrow |
| remotes | 2.5.0 | R Package Installation from Remote Repositories, Including
'GitHub' | Gábor Csárdi |
| rempsyc | 0.1.7 | Convenience Functions for Psychology | Rémi Thériault |
| remss | 1.0.1 | Refining Evaluation Methodology on Stage System | Yi Zhu |
| remstats | 3.2.1 | Computes Statistics for Relational Event History Data | Marlyne Meijerink-Bosman |
| remstimate | 2.3.8 | Optimization Frameworks for Tie-Oriented and Actor-Oriented
Relational Event Models | Giuseppe Arena |
| rENA | 0.2.7 | Epistemic Network Analysis | Cody L Marquart |
| REndo | 2.4.9 | Fitting Linear Models with Endogenous Regressors using Latent
Instrumental Variables | Raluca Gui |
| Renext | 3.1-4 | Renewal Method for Extreme Values Extrapolation | Yann Richet |
| renpow | 0.1-1 | Renewable Power Systems and the Environment | Miguel F. Acevedo |
| rentrez | 1.2.3 | 'Entrez' in R | David Winter |
| renv | 1.0.5 | Project Environments | Kevin Ushey |
| Renvlp | 3.4.5 | Computing Envelope Estimators | Minji Lee |
| RenvModule | 1.1 | Interface to Allow Full Use of the Environment Modules System
for Unix | Jordan Hayes |
| renz | 0.2.1 | R-Enzymology | Juan Carlos Aledo |
| repairData | 0.1.0 | Open Repair Alliance Datasets 2021 | Peter Baumgartner |
| repana | 2.1.0 | Repeatable Analysis in R | John J. Aponte |
| RepaymentPlan | 0.1.0 | Calculation of Mortgage Plan or Repayment Plan | Gourav Kumar Vani |
| repeated | 1.1.7 | Non-Normal Repeated Measurements Models | Bruce Swihart |
| RepeatedHighDim | 2.2.0 | Methods for High-Dimensional Repeated Measures Data | Klaus Jung |
| repec | 0.1.0 | Access RePEc Data Through API | Christian Alexander Mongeau Ospina |
| repello | 1.0.1 | Reports from Trello in R | Andrew Guide |
| RepertoiR | 0.0.1 | Repertoire Graphical Visualization | Ido Hasson |
| repfdr | 1.2.3 | Replicability Analysis for Multiple Studies of High Dimension | Ruth Heller |
| replacer | 1.0.2 | A Value Replacement Utility | Bandur Dragos |
| REPLesentR | 0.4.1 | Presentations in the REPL | Sebastian Warnholz |
| Replicate | 1.2.0 | Statistical Metrics for Multisite Replication Studies | Maya B. Mathur |
| replicateBE | 1.1.3 | Average Bioequivalence with Expanding Limits (ABEL) | Helmut Schütz |
| replicatedpp2w | 0.1-5 | Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns | Marcelino de la Cruz |
| ReplicationSuccess | 1.3.2 | Design and Analysis of Replication Studies | Samuel Pawel |
| Repliscope | 1.1.1 | Replication Timing Profiling using DNA Copy Number | Dzmitry G Batrakou |
| repmis | 0.5 | Miscellaneous Tools for Reproducible Research | Christopher Gandrud |
| repmod | 0.1.7 | Create Report Table from Different Objects | David Hervas Marin |
| repo | 2.1.5 | A Data-Centered Data Flow Manager | Francesco Napolitano |
| RepoGenerator | 0.0.1 | Generates a Project and Repo for Easy Initialization of a
Workshop | Jared P. Lander |
| repolr | 3.4 | Repeated Measures Proportional Odds Logistic Regression | Nick Parsons |
| report | 0.5.8 | Automated Reporting of Results and Statistical Models | Rémi Thériault |
| reporter | 1.4.4 | Creates Statistical Reports | David Bosak |
| repoRter.nih | 0.1.4 | R Interface to the 'NIH RePORTER Project' API | "Michael Barr, ACAS, MAAA, CPCU" |
| ReporterScore | 0.1.4 | Generalized Reporter Score-Based Enrichment Analysis for Omics
Data | Chen Peng |
| reportfactory | 0.4.0 | Lightweight Infrastructure for Handling Multiple R Markdown
Documents | Tim Taylor |
| reportr | 1.3.0 | A General Message and Error Reporting System | Jon Clayden |
| reportReg | 0.3.0 | An Easy Way to Report Regression Analysis | Zhicheng Du |
| reportRmd | 0.1.0 | Tidy Presentation of Clinical Reporting | Lisa Avery |
| reportROC | 3.6 | An Easy Way to Report ROC Analysis | Zhicheng Du |
| reporttools | 1.1.3 | Generate "LaTeX"" Tables of Descriptive Statistics | Kaspar Rufibach |
| REPPlab | 0.9.6 | R Interface to 'EPP-Lab', a Java Program for Exploratory
Projection Pursuit | Daniel Fischer |
| REPPlabShiny | 0.4.2 | 'REPPlab' via a Shiny Application | Klaus Nordhausen |
| repr | 1.1.7 | Serializable Representations | Philipp Angerer |
| represent | 1.0.1 | Determine How Representative Two Multidimensional Data Sets are | Harmen Draisma |
| representr | 0.1.5 | Create Representative Records After Entity Resolution | Andee Kaplan |
| represtools | 0.1.3 | Reproducible Research Tools | Brian Fannin |
| reprex | 2.1.0 | Prepare Reproducible Example Code via the Clipboard | Jennifer Bryan |
| reproducer | 0.5.3 | Reproduce Statistical Analyses and Meta-Analyses | Lech Madeyski |
| reproducible | 2.0.11 | Enhance Reproducibility of R Code | Eliot J B McIntire |
| reproj | 0.4.3 | Coordinate System Transformations for Generic Map Data | Michael D. Sumner |
| repsd | 1.0.1 | Root Expected Proportion Squared Difference for Detecting DIF | Anthony William Raborn |
| REPTILE | 1.0 | Regulatory DNA Element Prediction | Yupeng He |
| repurrrsive | 1.1.0 | Examples of Recursive Lists and Nested or Split Data Frames | Jennifer Bryan |
| reqres | 0.2.5 | Powerful Classes for HTTP Requests and Responses | Thomas Lin Pedersen |
| REQS | 0.8-13 | R/EQS Interface | Patrick Mair |
| request | 0.1.0 | High Level 'HTTP' Client | Scott Chamberlain |
| Require | 0.3.1 | Installing and Loading R Packages for Reproducible Workflows | Eliot J B McIntire |
| requiRements | 0.0.3 | Helper Package to Install Packages for R | Jonathan M. Mang |
| requireR | 1.0.0.1 | R Source Code Modularizer | Peter van den Berg |
| rerandPower | 0.0.1 | Power and Sample Size Calculations for Completely Randomized and
Rerandomized Experiments | Zach Branson |
| rerddap | 1.1.0 | General Purpose Client for 'ERDDAP' Servers | Roy Mendelssohn |
| rerddapXtracto | 1.2.0 | Extracts Environmental Data from 'ERDDAP' Web Services | Roy Mendelssohn |
| reReg | 1.4.6 | Recurrent Event Regression | Sy Han (Steven) Chiou |
| resample | 0.6 | Resampling Functions | Tim Hesterberg |
| resampledata | 0.3.1 | Data Sets for Mathematical Statistics with Resampling in R | Albert Y. Kim |
| resampledata3 | 1.0 | Data Sets for "Mathematical Statistics with Resampling and R"
(3rd Ed) | Tim Hesterberg |
| resde | 1.1 | Estimation in Reducible Stochastic Differential Equations | Oscar Garcia |
| ResearchAssociate | 1.0.1 | Retrieving Publications from PubMed Database Based on User Query | Mohamed Soudy |
| resemble | 2.2.3 | Memory-Based Learning in Spectral Chemometrics | Leonardo Ramirez-Lopez |
| reservoir | 1.1.5 | Tools for Analysis, Design, and Operation of Water Supply
Storages | Sean Turner |
| reservoirnet | 0.2.0 | Reservoir Computing and Echo State Networks | Thomas Ferte |
| reservr | 0.0.2 | Fit Distributions and Neural Networks to Censored and Truncated
Data | Alexander Rosenstock |
| RESET | 1.0.0 | Reconstruction Set Test | H. Robert Frost |
| resevol | 0.3.4.0 | Simulate Agricultural Production and Evolution of Pesticide
Resistance | A. Bradley Duthie |
| reshape | 0.8.9 | Flexibly Reshape Data | Hadley Wickham |
| reshape2 | 1.4.4 | Flexibly Reshape Data: A Reboot of the Reshape Package | Hadley Wickham |
| RESI | 1.2.4 | Robust Effect Size Index (RESI) Estimation | Megan Jones |
| ResidentialEnergyConsumption | 1.1.0 | Residential Energy Consumption Data | Konstantin Hopf |
| resilience | 2023.1.1 | Predictors of Resilience to a Stressor in a Single-Arm Study | Ravi Varadhan |
| ResIN | 1.1.0 | Response Item Networks ('ResIN') | Philip Warncke |
| ResistorArray | 1.0-32 | Electrical Properties of Resistor Networks | Robin K. S. Hankin |
| reslife | 0.2.1 | Calculate Mean Residual Life (MRL) and Related Values for
Different Distributions | Andrew Crawford |
| reslr | 0.1.1 | Modelling Relative Sea Level Data | Maeve Upton |
| resmush | 0.1.0 | Optimize and Compress Image Files with 'reSmush.it' | Diego Hernangómez |
| resourcer | 1.4.0 | Resource Resolver | Yannick Marcon |
| ResourceSelection | 0.3-6 | Resource Selection (Probability) Functions for Use-Availability
Data | Peter Solymos |
| ResPBIBD | 0.1.0 | "Resolvable Partially Balanced Incomplete Block Designs
(PBIBDs)" | Vinaykumar L.N. |
| RespirAnalyzer | 1.0.2 | Analysis Functions of Respiratory Data | Xinzheng Dong |
| respirometry | 1.5.0 | Tools for Conducting and Analyzing Respirometry Experiments | Matthew A. Birk |
| responsePatterns | 0.1.1 | Screening for Careless Responding Patterns | Tomas Rihacek |
| respR | 2.3.2 | Import, Process, Analyse, and Calculate Rates from Respirometry
Data | Nicholas Carey |
| RESS | 1.3 | Integrates R and Essentia | Ben Waxer |
| restatapi | 0.23.1 | Search and Retrieve Data from Eurostat Database | Mátyás Mészáros |
| restatis | 0.1.0 | Web API Client for the German Federal Statistical Office
Database | Long Nguyen |
| restaurant | 0.1.0 | Restaurant Data for Entity Resolution | Rebecca Steorts |
| restez | 2.1.4 | Create and Query a Local Copy of 'GenBank' in R | Joel H. Nitta |
| restfulr | 0.0.15 | R Interface to RESTful Web Services | Michael Lawrence |
| restimizeapi | 1.0.0 | Functions for Working with the 'www.estimize.com' Web Services | Thomas P. Fuller |
| RESTK | 1.0.0 | An Implementation of the RESTK Algorithm | Sergi Vilardell |
| restoptr | 1.0.6 | Ecological Restoration Planning | Dimitri Justeau-Allaire |
| RestoreNet | 1.0.1 | Random-Effects Stochastic Reaction Networks | Luca Del Core |
| restorepoint | 0.2 | Debugging with Restore Points | Roman Zenka |
| restriktor | 0.5-30 | Restricted Statistical Estimation and Inference for Linear
Models | Leonard Vanbrabant |
| RestRserve | 1.2.1 | A Framework for Building HTTP API | Dmitry Selivanov |
| result | 0.1.0 | Result Type for Safely Handling Operations that can Succeed or
Fail | Soumya Ray |
| resumer | 0.0.5 | Build Resumes with R | Jared Lander |
| retel | 0.1.0 | Regularized Exponentially Tilted Empirical Likelihood | Eunseop Kim |
| rethinker | 1.1.0 | RethinkDB Client | Miron B. Kursa |
| rethnicity | 0.2.4 | Predicting Ethnic Group from Names | Fangzhou Xie |
| reticulate | 1.35.0 | Interface to 'Python' | Tomasz Kalinowski |
| retriever | 0.2.1 | Generate Disease-Specific Response Signatures from the
LINCS-L1000 Data | Daniel Osorio |
| retrodesign | 0.2.2 | Tools for Type S (Sign) and Type M (Magnitude) Errors | Andrew Timm |
| retroharmonize | 0.2.0 | Ex Post Survey Data Harmonization | Daniel Antal |
| retrosheet | 1.1.6 | Import Professional Baseball Data from 'Retrosheet' | Colin Douglas |
| retry | 0.1.1 | Repeated Evaluation | Randy Lai |
| reutils | 0.2.3 | Talk to the NCBI EUtils | Gerhard Schöfl |
| reval | 3.1-0 | Argument Table Generation for Sensitivity Analysis | Michael C Koohafkan |
| revdbayes | 1.5.3 | Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis | Paul J. Northrop |
| revealedPrefs | 0.4.1 | Revealed Preferences and Microeconomic Rationality | Julien Boelaert |
| revealjs | 0.9 | R Markdown Format for 'reveal.js' Presentations | JJ Allaire |
| RevEcoR | 0.99.3 | Reverse Ecology Analysis on Microbiome | Yang Cao |
| reveneraR | 0.1.2 | Connect to Your 'Revenera' (Formerly 'Revulytics') Data | Chris Umphlett |
| revengc | 1.0.4 | Reverse Engineering Summarized Data | Samantha Duchscherer |
| reverseR | 0.1 | Linear Regression Stability to Significance Reversal | Andrej-Nikolai Spiess |
| revert | 0.0.1 | Reversion Mutation Identifier for Sequencing Data | Hui Xiao |
| RevGadgets | 1.2.1 | Visualization and Post-Processing of 'RevBayes' Analyses | Carrie Tribble |
| revgeo | 0.15 | Reverse Geocoding with the Photon Geocoder for OpenStreetMap,
Google Maps, and Bing | Michael Hudecheck |
| ReviewR | 2.3.10 | A Light-Weight, Portable Tool for Reviewing Individual Patient
Records | David Mayer |
| revpref | 0.1.0 | Tools for Computational Revealed Preference Analysis | Khushboo Surana |
| revss | 1.0.6 | Robust Estimation in Very Small Samples | Avraham Adler |
| Revticulate | 1.0.0 | Interaction with "RevBayes" in R | Caleb Charpentier |
| revtools | 0.4.1 | Tools to Support Evidence Synthesis | Martin J. Westgate |
| revulyticsR | 0.0.3 | Connect to Your 'Revulytics' Data | Chris Umphlett |
| rewie | 0.1.0 | Data Preparation and Diagnostics for Random Effects Within
Estimator | Scott Duxbury |
| rex | 1.2.1 | Friendly Regular Expressions | Kevin Ushey |
| rexer | 1.0.0 | Random Exercises and Exams Generator | Jose Samos |
| Rexperigen | 0.2.1 | R Interface to Experigen | Daniel Szeredi |
| rexpokit | 0.26.6.14 | R Wrappers for EXPOKIT; Other Matrix Functions | Nicholas J. Matzke |
| rextendr | 0.3.1 | Call Rust Code from R using the 'extendr' Crate | Ilia Kosenkov |
| Rfacebook | 0.6.15 | Access to Facebook API via R | Pablo Barbera |
| rfacebookstat | 2.10.0 | Load Data from Facebook API Marketing | Alexey Seleznev |
| rfacts | 0.2.1 | R Interface to 'FACTS' on Unix-Like Systems | William Michael Landau |
| rfars | 1.2.0 | Download and Analyze Crash Data | Steve Jackson |
| Rfast | 2.1.0 | A Collection of Efficient and Extremely Fast R Functions | Manos Papadakis |
| Rfast2 | 0.1.5.2 | A Collection of Efficient and Extremely Fast R Functions II | Manos Papadakis |
| RFCCA | 2.0.0 | Random Forest with Canonical Correlation Analysis | Cansu Alakus |
| RFclust | 0.1.2 | Random Forest Cluster Analysis | Ankur Chakravarthy |
| RfEmpImp | 2.1.8 | Multiple Imputation using Chained Random Forests | Shangzhi Hong |
| rFerns | 5.0.0 | Random Ferns Classifier | Miron Bartosz Kursa |
| rfieldclimate | 0.1.1 | Client for the 'FieldClimate' API | Eduard Szöcs |
| rfigshare | 0.3.8 | An R Interface to 'figshare' | Carl Boettiger |
| rfinterval | 1.0.0 | Predictive Inference for Random Forests | Haozhe Zhang |
| rfishbase | 4.1.2 | R Interface to 'FishBase' | Carl Boettiger |
| RFishBC | 0.2.7 | Back-Calculation of Fish Length | Derek H. Ogle |
| rfishdraw | 0.1.0 | Automatically Generated Fish Drawings via JavaScript | Liuyong Ding |
| rfisheries | 0.2 | 'Programmatic Interface to the 'openfisheries.org' API' | Karthik Ram |
| rfishnet2 | 0.2.0 | Exploratory Data Analysis for FishNet2 Data | Kennedy Dorsey |
| Rfit | 0.24.6 | Rank-Based Estimation for Linear Models | John Kloke |
| rflashtext | 1.0.0 | FlashText Algorithm for Finding and Replacing Words | Abraham Jaimes |
| rflexscan | 1.1.0 | The Flexible Spatial Scan Statistic | Takahiro Otani |
| RFlocalfdr | 0.8.5 | Significance Level for Random Forest Impurity Importance Scores | Robert Dunne |
| RFlocalfdr.data | 0.0.3 | Data for the Vignette and Examples in 'RFlocalfdr' | Robert Dunne |
| RFLPtools | 2.0 | Tools to Analyse RFLP Data | Matthias Kohl |
| rflsgen | 1.2.1 | Neutral Landscape Generator with Targets on Landscape Indices | Dimitri Justeau-Allaire |
| rfm | 0.3.0 | Recency, Frequency and Monetary Value Analysis | Aravind Hebbali |
| rfoaas | 2.3.2 | R Interface to 'FOAAS' | Dirk Eddelbuettel |
| RFOC | 3.4-10 | Graphics for Spherical Distributions and Earthquake Focal
Mechanisms | Jonathan M. Lees |
| rfold | 0.2.0 | Working with many R Folders Within an R Package | Mohamed El Fodil Ihaddaden |
| Rfolding | 1.0 | The Folding Test of Unimodality | Alban Siffer |
| rfordummies | 0.1.6 | Code Examples to Accompany the Book "R for Dummies" | Andrie de Vries |
| Rforestry | 0.10.0 | Random Forests, Linear Trees, and Gradient Boosting for
Inference and Interpretability | Theo Saarinen |
| RFormatter | 0.1.1 | R Source Code Formatter | Benjamin Fischer |
| rfPermute | 2.5.2 | Estimate Permutation p-Values for Random Forest Importance
Metrics | Eric Archer |
| RFPM | 1.1 | Floating Percentile Model | Brian Church |
| RFpredInterval | 1.0.8 | Prediction Intervals with Random Forests and Boosted Forests | Cansu Alakus |
| Rfractran | 1.0.1 | A 'FRACTRAN' Interpreter and Some Helper Functions | Carl Witthoft |
| rFSA | 0.9.6 | Feasible Solution Algorithm for Finding Best Subsets and
Interactions | Joshua Lambert |
| Rfssa | 3.1.0 | Functional Singular Spectrum Analysis | Hossein Haghbin |
| rFUSION | 0.1 | Interface to FUSION | Alba García Cimarras |
| rfVarImpOOB | 1.0.3 | Unbiased Variable Importance for Random Forests | Markus Loecher |
| rfvimptest | 0.1.3 | Sequential Permutation Testing of Random Forest Variable
Importance Measures | Roman Hornung |
| rfviz | 1.0.1 | Interactive Visualization Tool for Random Forests | Chris Kuchar |
| rgabriel | 0.9 | Gabriel Multiple Comparison Test and Plot the Confidence
Interval on Barplot | Miao YU |
| RGAN | 0.1.1 | Generative Adversarial Nets (GAN) in R | Marcel Neunhoeffer |
| RGAP | 0.1.1 | Production Function Output Gap Estimation | Sina Streicher |
| Rgb | 1.7.5 | The R Genome Browser | Sylvain Mareschal |
| rgbif | 3.7.9 | Interface to the Global Biodiversity Information Facility API | John Waller |
| RGBM | 1.0-11 | LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network
Reconstruction | Raghvendra Mall |
| Rgbp | 1.1.4 | Hierarchical Modeling and Frequency Method Checking on
Overdispersed Gaussian, Poisson, and Binomial Data | Joseph Kelly |
| RGCCA | 3.0.3 | Regularized and Sparse Generalized Canonical Correlation
Analysis for Multiblock Data | Arthur Tenenhaus |
| RGCxGC | 1.2.0 | Preprocessing and Multivariate Analysis of Bidimensional Gas
Chromatography Data | Cristian Quiroz-Moreno |
| rgdax | 1.2.1 | Wrapper for 'Coinbase Pro (erstwhile GDAX)' Cryptocurrency
Exchange | Dheeraj Agarwal |
| RGE | 1.0 | Response from Genotype to Environment | Jose Miguel Cotes Torres |
| rgee | 1.1.7 | R Bindings for Calling the 'Earth Engine' API | Cesar Aybar |
| rgeedim | 0.2.7 | Search, Composite, and Download 'Google Earth Engine' Imagery
with the 'Python' Module 'geedim' | Andrew Brown |
| rgen | 0.0.1 | Random Sampling Distribution C++ Routines for Armadillo | James Balamuta |
| RGenData | 1.0 | Generates Multivariate Nonnormal Data and Determines How Many
Factors to Retain | John Ruscio |
| RGENERATE | 1.3.7 | Tools to Generate Vector Time Series | Emanuele Cordano |
| RGENERATEPREC | 1.2.9 | Tools to Generate Daily-Precipitation Time Series | Emanuele Cordano |
| RGenetics | 0.1 | R packages for genetics research | Felix Yanhui Fan |
| rgenius | 0.1.0 | Get 'Genius' API Lyrics | Alberto Almuiña |
| rgenoud | 5.9-0.10 | R Version of GENetic Optimization Using Derivatives | Jasjeet Singh Sekhon |
| rgeoboundaries | 1.3 | geoBoundaries Client | Ahmadou Dicko |
| rgeoda | 0.0.10-4 | R Library for Spatial Data Analysis | Xun Li |
| RGeode | 0.1.0 | Geometric Density Estimation | Lorenzo Rimella |
| rgeomstats | 0.0.1 | Interface to 'Geomstats' | Aymeric Stamm |
| rgeopat2 | 0.4.0 | Additional Functions for 'GeoPAT' 2 | Jakub Nowosad |
| RGF | 1.1.1 | Regularized Greedy Forest | Lampros Mouselimis |
| Rgff | 0.1.6 | R Utilities for GFF Files | Juan Antonio Garcia-Martin |
| rGhanaCensus | 0.1.0 | 2021 Ghana Population and Housing Census Results as Data Frames | Ama Owusu-Darko |
| rgho | 3.0.2 | Access WHO Global Health Observatory Data from R | Kevin Zarca |
| RGIFT | 0.1-7 | Create Quizzes in GIFT Format | Virgilio Gómez-Rubio |
| rgl | 1.3.1 | 3D Visualization Using OpenGL | Duncan Murdoch |
| rgl.cry | 0.1.0 | 'cry' and 'rgl' — Applications in Crystallography | Toshihide Saitou |
| rgl2gltf | 1.0.3 | Read and Write '.gltf' and '.glb' Files | Duncan Murdoch |
| rglobi | 0.3.4 | Interface to Global Biotic Interactions | Jorrit Poelen |
| Rglpk | 0.6-5.1 | R/GNU Linear Programming Kit Interface | Stefan Theussl |
| rglplus | 1.3 | Extension of the 'rgl' 3D Visualization Package | Danail Obreschkow |
| rgm | 1.0.4 | Advanced Inference with Random Graphical Models | Francisco Richter |
| RGMM | 2.1.0 | Robust Mixture Model | Antoine Godichon-Baggioni |
| RGN | 1.0.0 | Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares
Objective Function | David McInerney |
| rgnoisefilt | 1.1.2 | Elimination of Noisy Samples in Regression Datasets using Noise
Filters | Juan Martin |
| rgnparser | 0.3.0 | Parse Scientific Names | Joel H. Nitta |
| Rgof | 1.2.2 | 1d Goodness of Fit Tests | Wolfgang Rolke |
| rgoogleads | 0.10.0 | Loading Data from 'Google Ads API' | Alexey Seleznev |
| RGoogleAnalyticsPremium | 0.1.1 | Unsampled Data in R for Google Analytics Premium Accounts | Jalpa Joshi Dave |
| rgoogleclassroom | 0.9.1 | API Wrapper for Google Classroom and Google Forms | Candace Savonen |
| RGoogleFit | 0.4.0 | R Interface to Google Fit API | Marcin Szymanski |
| RgoogleMaps | 1.5.1 | Overlays on Static Maps | Markus Loecher |
| rgoogleslides | 0.3.2 | R Interface to Google Slides | Hairizuan Noorazman |
| rgplates | 0.4.0 | R Interface for the GPlates Web Service and Desktop Application | Adam T. Kocsis |
| rgraph6 | 2.0-4 | Representing Graphs as 'graph6', 'digraph6' or 'sparse6' Strings | Michal Bojanowski |
| RGraphics | 3.0-2 | Data and Functions from the Book R Graphics, Third Edition | Paul Murrell |
| RGraphSpace | 1.0.5 | A Lightweight Interface Between 'ggplot2' and 'igraph' Objects | Mauro Castro |
| rgrass | 0.4-2 | Interface Between 'GRASS' Geographical Information System and
'R' | Roger Bivand |
| RGreenplum | 0.1.2 | Interface to 'Greenplum' Database | Michael Williams |
| RGremlinsConjoint | 0.9.1 | Estimate the "Gremlins in the Data" Model for Conjoint Studies | John Howell |
| rGroovy | 1.3 | Groovy Language Integration | Thomas P. Fuller |
| rgsp | 0.2.0 | Repetitive Group Sampling Plan Based on Cpk | Muhammad Yaseen |
| rgTest | 0.1 | Robust Graph-Based Two-Sample Test | Yichuan Bai |
| rgtmx | 0.1.4 | Manage GTmetrix Tests in R | Roman A. Abashin |
| rgugik | 0.4.0 | Search and Retrieve Spatial Data from 'GUGiK' | Krzysztof Dyba |
| rGV | 0.0.4 | Analysis of Continuous Glucose Monitor Data | Evan Olawsky |
| rgw | 0.3.0 | Goodman-Weare Affine-Invariant Sampling | Adam Mantz |
| RH2 | 0.2.4 | DBI/RJDBC Interface to H2 Database | "David M. Kaplan" |
| rhandsontable | 0.3.8 | Interface to the 'Handsontable.js' Library | Jonathan Owen |
| RHawkes | 1.0 | Renewal Hawkes Process | Feng Chen |
| RHclust | 2.0.0 | Vector in Partition | Joseph Handwerker |
| rhcoclust | 2.0.0 | Robust Hierarchical Co-Clustering to Identify Significant
Co-Cluster | Md. Bahadur Badsha |
| rheroicons | 1.0.0 | A Zero Dependency 'SVG' Icon Library for 'Shiny' | David Ruvolo |
| rhierbaps | 1.1.4 | Clustering Genetic Sequence Data Using the HierBAPS Algorithm | Gerry Tonkin-Hill |
| rhino | 1.7.0 | A Framework for Enterprise Shiny Applications | Kamil Żyła |
| rhmc | 1.0.0 | Hamiltonian Monte Carlo | Victhor Sartório |
| RHMS | 1.7 | Hydrologic Modelling System for R Users | Rezgar Arabzadeh |
| rhnerm | 1.1 | Random Heteroscedastic Nested Error Regression | Shonosuke Sugasawa |
| rhoneycomb | 2.3.4 | Analysis of Honeycomb Selection Designs | Nikos Antonetsis |
| rhoR | 1.3.0.3 | Rho for Inter Rater Reliability | Cody L Marquart |
| rhosa | 0.2.0 | Higher-Order Spectral Analysis | Takeshi Abe |
| rhosp | 1.10 | Side Effect Risks in Hospital : Simulation and Estimation | Christophe Dutang |
| RHPCBenchmark | 0.1.0 | Benchmarks for High-Performance Computing Environments | James McCombs |
| RhpcBLASctl | 0.23-42 | Control the Number of Threads on 'BLAS' | Ei-ji Nakama |
| RHRT | 1.0.1 | Heart Rate Turbulence Analysis | Valeria Blesius |
| RHRV | 4.2.7 | Heart Rate Variability Analysis of ECG Data | Leandro Rodriguez-Linares |
| RHSDB | 0.2.0 | Ryan-Holm Step-Down Bonferroni or Sidak Procedure | Zhicheng Du Developer |
| RHybridFinder | 0.2.0 | Identification of Hybrid Peptides in Immunopeptidomic Analyses | Frederic Saab |
| rhymer | 1.2.0 | Wrapper for the 'Datamuse' API to Find Rhyming and Associated
Words | Noah Landesberg |
| rhype | 0.3.0 | Work with Hypergraphs in R | Hugh Warden |
| ri2 | 0.4.0 | Randomization Inference for Randomized Experiments | Alexander Coppock |
| RI2by2 | 1.4 | Randomization Inference for Treatment Effects on a Binary
Outcome | Joseph Rigdon |
| RIA | 1.7.2 | Radiomics Image Analysis Toolbox for Medial Images | Marton Kolossvary |
| rib | 0.19.3 | An Implementation of 'Interactive Brokers' API | Luca Billi |
| ribd | 1.7.0 | Pedigree-based Relatedness Coefficients | Magnus Dehli Vigeland |
| RIbench | 1.0.2 | Benchmark Suite for Indirect Methods for RI Estimation | Tatjana Ammer |
| ricegeneann | 1.0.2 | Gene Annotation of Rice (Oryza Sativa L.spp.japonica) | Xiang LI |
| riceidconverter | 1.1.1 | Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sativa | Xiang LI |
| riceware | 0.4 | A Diceware Passphrase Implementation | Francois Michonneau |
| Ricrt | 0.1.0 | Randomization Inference of Clustered Randomized Trials | Yang Dong |
| ricu | 0.5.6 | Intensive Care Unit Data with R | Nicolas Bennett |
| rid | 0.0.1 | Multiple Change-Point Detection in Multivariate Time Series | Xinyuan Fan |
| RIdeogram | 0.2.2 | Drawing SVG Graphics to Visualize and Map Genome-Wide Data on
Idiograms | Zhaodong Hao |
| ridge | 3.3 | Ridge Regression with Automatic Selection of the Penalty
Parameter | Steffen Moritz |
| ridgetorus | 1.0.2 | PCA on the Torus via Density Ridges | Eduardo García-Portugués |
| ridgregextra | 0.1.1 | Ridge Regression Parameter Estimation | Olgun Aydin |
| ridigbio | 0.3.8 | Interface to the iDigBio Data API | Jesse Bennett |
| ridittools | 0.1 | Useful Functions for Ridit Analysis | Eric Bohlman |
| riem | 0.3.1 | Accesses Weather Data from the Iowa Environment Mesonet | Maëlle Salmon |
| Riemann | 0.1.4 | Learning with Data on Riemannian Manifolds | Kisung You |
| RiemBase | 0.2.5 | Functions and C++ Header Files for Computation on Manifolds | Kisung You |
| Riex | 1.0.2 | IEX Stocks and Market Data | Myriam Ibrahim |
| rifle | 1.0 | Sparse Generalized Eigenvalue Problem | Kean Ming Tan |
| RIFS | 0.1.6 | Random Iterated Function System | Pavel V. Moskalev |
| Rigma | 0.2.1 | Access to the 'Figma' API | Alexandros Kouretsis |
| rigr | 1.0.4 | Regression, Inference, and General Data Analysis Tools in R | Amy D Willis |
| riingo | 0.3.1 | An R Interface to the 'Tiingo' Stock Price API | Davis Vaughan |
| Rilostat | 2.0.0 | ILO Open Data via Ilostat Bulk Download Facility | David Bescond |
| rim | 0.6.4 | Interface to 'Maxima', Enabling Symbolic Computation | Eric Stemmler |
| RImageJROI | 0.1.2 | Read 'ImageJ' Region of Interest (ROI) Files | David C Sterratt |
| RImagePalette | 0.1.1 | Extract the Colors from Images | Joel Carlson |
| RImpact | 1.0 | Calculates Measures of Scholarly Impact | John Ruscio |
| rimu | 0.6 | Responses in Multiplex | Thomas Lumley |
| rinat | 0.1.9 | Access 'iNaturalist' Data Through APIs | Stéphane Guillou |
| rineq | 0.2.3 | Concentration Index and Decomposition for Health Inequalities | Kaspar Meili |
| ring | 1.0.5 | Circular / Ring Buffers | Rich FitzJohn |
| ringostat | 0.1.5 | Load Data from 'Ringostat API' | Alexey Seleznev |
| RInno | 1.0.1 | An Installation Framework for Shiny Apps | Jon Hill |
| RInside | 0.2.18 | C++ Classes to Embed R in C++ (and C) Applications | Dirk Eddelbuettel |
| RInSp | 1.2.5 | R Individual Specialization | Dr. Nicola Zaccarelli |
| rintcal | 0.6.4 | Radiocarbon Calibration Curves | Maarten Blaauw |
| rIntervalTree | 0.1.0 | An Interval Tree Tool for Real Numbers | Shuye Pu |
| rintimg | 0.1.0 | View Images on Full Screen in 'RMarkdown' Documents and 'shiny'
Applications | Mohamed El Fodil Ihaddaden |
| rintrojs | 0.3.4 | Wrapper for the 'Intro.js' Library | Carl Ganz |
| rio | 1.0.1 | A Swiss-Army Knife for Data I/O | Chung-hong Chan |
| rioja | 1.0-6 | Analysis of Quaternary Science Data | Steve Juggins |
| ripc | 0.2.1 | Download and Tidy IPC and CH Data | Seth Caldwell |
| ripserr | 0.1.1 | Calculate Persistent Homology with Ripser-Based Engines | Raoul Wadhwa |
| rirods | 0.2.0 | R Client for 'iRODS' | Martin Schobben |
| Rirt | 0.0.2 | Data Analysis and Parameter Estimation Using Item Response
Theory | Xiao Luo |
| RISCA | 1.0.5 | Causal Inference and Prediction in Cohort-Based Analyses | Yohann Foucher |
| rise | 1.0.4 | Conduct RISE Analysis | David Wiley |
| rIsing | 0.1.0 | High-Dimensional Ising Model Selection | Pratik Ramprasad |
| Risk | 1.0 | Computes 26 Financial Risk Measures for Any Continuous
Distribution | Saralees Nadarajah |
| riskclustr | 0.4.1 | Functions to Study Etiologic Heterogeneity | Emily C. Zabor |
| riskCommunicator | 1.0.1 | G-Computation to Estimate Interpretable Epidemiological Effects | Jessica Grembi |
| riskmetric | 0.2.4 | Risk Metrics to Evaluating R Packages | Eli Miller |
| riskParityPortfolio | 0.2.2 | Design of Risk Parity Portfolios | Daniel P. Palomar |
| RiskPortfolios | 2.1.7 | Computation of Risk-Based Portfolios | David Ardia |
| riskPredictClustData | 0.2.6 | Assessing Risk Predictions for Clustered Data | Weiliang Qiu |
| riskRegression | 2023.12.21 | Risk Regression Models and Prediction Scores for Survival
Analysis with Competing Risks | Thomas Alexander Gerds |
| risks | 0.4.2 | Estimate Risk Ratios and Risk Differences using Regression | Konrad Stopsack |
| riskscores | 1.0.2 | Optimized Integer Risk Score Models | Hannah Eglinton |
| RiskScorescvd | 0.1.0 | Cardiovascular Risk Scores Calculator | Daniel Perez-Vicencio |
| risksetROC | 1.0.4.1 | Riskset ROC Curve Estimation from Censored Survival Data | Paramita Saha-Chaudhuri
|
| riskSimul | 0.1.2 | Risk Quantification for Stock Portfolios under the T-Copula
Model | Wolfgang Hormann |
| riskyr | 0.4.0 | Rendering Risk Literacy more Transparent | Hansjoerg Neth |
| RISmed | 2.3.0 | Download Content from NCBI Databases | Stephanie Kovalchik |
| Rita | 1.2.0 | Automated Transformations, Normality Testing, and Reporting | Daniel Mattei |
| Ritc | 1.0.2 | Isothermal Titration Calorimetry (ITC) Data Analysis | Yingyun Liu |
| RITCH | 0.1.26 | R Parser for the ITCH-Protocol | David Zimmermann-Kollenda |
| ritis | 1.0.0 | Integrated Taxonomic Information System Client | Scott Chamberlain |
| RItools | 0.3-3 | Randomization Inference Tools | Jake Bowers |
| riv | 2.0-5 | Robust Instrumental Variables Estimator | Gabriela Cohen-Freue |
| RiverBuilder | 0.1.1 | River Generation for Given Data Sets | Gregory Pasternack |
| riverconn | 0.3.31 | Fragmentation and Connectivity Indices for Riverscapes | Damiano Baldan |
| riverdist | 0.16.3 | River Network Distance Computation and Applications | Matt Tyers |
| rivernet | 1.2.3 | Read, Analyze and Plot River Networks | Peter Reichert |
| Rivivc | 0.9.1 | In Vitro in Vivo Correlation Linear Level "A" | Aleksander Mendyk |
| rivnet | 0.4.0 | Extract and Analyze Rivers from Elevation Data | Luca Carraro |
| rivr | 1.2-3 | Steady and Unsteady Open-Channel Flow Computation | Michael C Koohafkan |
| RivRetrieve | 0.1.4 | Retrieve Global River Gauge Data | Ryan Riggs |
| rjade | 0.1.1 | A Clean, Whitespace-Sensitive Template Language for Writing HTML | Jeroen Ooms |
| RJafroc | 2.1.2 | Artificial Intelligence Systems and Observer Performance | Dev Chakraborty |
| rjags | 4-15 | Bayesian Graphical Models using MCMC | Martyn Plummer |
| rJava | 1.0-11 | Low-Level R to Java Interface | Simon Urbanek |
| RJcluster | 3.2.4 | A Fast Clustering Algorithm for High Dimensional Data Based on
the Gram Matrix Decomposition | Rachael Shudde |
| RJDBC | 0.2-10 | Provides Access to Databases Through the JDBC Interface | Simon Urbanek |
| RJDemetra | 0.2.6 | Interface to 'JDemetra+' Seasonal Adjustment Software | Alain Quartier-la-Tente |
| rjdmarkdown | 0.2.2 | 'rmarkdown' Extension for Formatted 'RJDemetra' Outputs | Alain Quartier-la-Tente |
| rjdqa | 0.1.4 | Quality Assessment for Seasonal Adjustment | Alain Quartier-la-Tente |
| rje | 1.12.1 | Miscellaneous Useful Functions for Statistics | Robin Evans |
| rjmcmc | 0.4.5 | Reversible-Jump MCMC Using Post-Processing | Nick Gelling |
| rjqpd | 0.2.3 | The Johnson Quantile-Parameterised Distribution | Bobby Ingram |
| RJSDMX | 3.1-0 | R Interface to SDMX Web Services | Attilio Mattiocco |
| rjson | 0.2.21 | JSON for R | Alex Couture-Beil |
| rjsoncons | 1.2.0 | 'C++' Header-Only 'jsoncons' Library for 'JSON' Queries | Martin Morgan |
| RJSONIO | 1.3-1.9 | Serialize R Objects to JSON, JavaScript Object Notation | CRAN Team |
| RJSplot | 2.7 | Interactive Graphs with R | Carlos Prieto |
| rjstat | 0.4.3 | Handle 'JSON-stat' Format in R | Aaron Schumacher |
| rjtools | 1.0.12 | Preparing, Checking, and Submitting Articles to the 'R Journal' | Di Cook |
| rjwsacruncher | 0.2.0 | Interface to the 'JWSACruncher' of 'JDemetra+' | Alain Quartier-la-Tente |
| rkafkajars | 1.2 | External Jars Required for Package 'rkafka' | Shruti Gupta |
| RKEA | 0.0-6 | R/KEA Interface | Kurt Hornik |
| RKEAjars | 5.0-4 | R/KEA Interface Jars | Kurt Hornik |
| RKEEL | 1.3.4 | Using 'KEEL' in R Code | Jose M. Moyano |
| RKEELdata | 1.0.5 | Datasets from 'KEEL' for it Use in 'RKEEL' | Jose M. Moyano |
| RKelly | 1.0 | Translate Odds and Probabilities | Arvid Kingl |
| rKenyaForex | 0.1.0 | Historical Data for Kenya Foreign Exchange Prices | Mutua Kilai |
| RKHSMetaMod | 1.1 | Ridge Group Sparse Optimization Problem for Estimation of a Meta
Model Based on Reproducing Kernel Hilbert Spaces | Halaleh Kamari |
| rKIN | 1.0.2 | (Kernel) Isotope Niche Estimation | Shannon E Albeke |
| RkMetrics | 1.3 | Hybrid Mortality Estimation | Titus K Rotich |
| rKOMICS | 1.3 | Minicircle Sequence Classes (MSC) Analyses | Manon Geerts |
| RKorAPClient | 0.8.0 | 'KorAP' Web Service Client Package | Marc Kupietz |
| rkt | 1.7 | Mann-Kendall Test, Seasonal and Regional Kendall Tests | Aldo Marchetto |
| RKUM | 0.1.1.1 | Robust Kernel Unsupervised Methods | Md Ashad Alam |
| rkvo | 0.1 | Read Key/Value Pair Observations | Vehbi Sinan Tunalioglu |
| Rlab | 4.0 | Functions and Datasets Required for ST370 Class | Dennis Boos |
| Rlabkey | 3.2.1 | Data Exchange Between R and 'LabKey' Server | Cory Nathe |
| rLakeAnalyzer | 1.11.4.1 | Lake Physics Tools | Luke Winslow |
| rlandfire | 1.0.0 | Interface to 'LANDFIRE Product Service' API | Mark Buckner |
| rlang | 1.1.3 | Functions for Base Types and Core R and 'Tidyverse' Features | Lionel Henry |
| rlas | 1.7.0 | Read and Write 'las' and 'laz' Binary File Formats Used for
Remote Sensing Data | Jean-Romain Roussel |
| rlc | 0.5.0 | Create Interactive Linked Charts with Minimal Code | Svetlana Ovchinnikova |
| rlcv | 1.0.0 | Robust Likelihood Cross Validation Bandwidth Selection | Ximing Wu |
| rLDCP | 1.0.2 | Text Generation from Data | Patricia Conde-Clemente |
| rle | 0.9.2 | Common Functions for Run-Length Encoded Vectors | Pavel N. Krivitsky |
| RLeafAngle | 1.0 | Estimates, Plots and Evaluates Leaf Angle Distribution
Functions, Calculates Extinction Coefficients | Wei-Min Wang |
| rleafmap | 0.2.1 | Interactive Maps with R and Leaflet | Francois Keck |
| rlecuyer | 0.3-8 | R Interface to RNG with Multiple Streams | Hana Sevcikova |
| rlemon | 0.2.1 | R Access to LEMON Graph Algorithms | Josh Errickson |
| rless | 0.1.1 | Leaner Style Sheets | Jonas Vaclavek |
| rlfsm | 1.1.2 | Simulations and Statistical Inference for Linear Fractional
Stable Motions | Dmitry Otryakhin |
| rLFT | 1.0.1 | Processing Linear Features | Shannon E Albeke |
| Rlgt | 0.2-1 | Bayesian Exponential Smoothing Models with Trend Modifications | Christoph Bergmeir |
| Rlibeemd | 1.4.3 | Ensemble Empirical Mode Decomposition (EEMD) and Its Complete
Variant (CEEMDAN) | Jouni Helske |
| Rlibkdv | 1.1 | A Versatile Kernel Density Visualization Library for Geospatial
Analytics (Heatmap) | Bojian Zhu |
| rlibkriging | 0.8-0.1 | Kriging Models using the 'libKriging' Library | Yann Richet |
| rliger | 2.0.1 | Linked Inference of Genomic Experimental Relationships | Yichen Wang |
| Rlinkedin | 0.2 | Access to the LinkedIn API via R | Michael Piccirilli |
| rlinkedinads | 0.2.0 | Load Data from 'Linkedin Advertising API' | Alexey Seleznev |
| Rlinsolve | 0.3.2 | Iterative Solvers for (Sparse) Linear System of Equations | Kisung You |
| rlist | 0.4.6.2 | A Toolbox for Non-Tabular Data Manipulation | Kun Ren |
| rlistings | 0.2.7 | Clinical Trial Style Data Readout Listings | Joe Zhu |
| rllama | 0.4.4 | Access and Analyze Data from 'DeFiLlama' | Alexey Ivanov |
| rlmDataDriven | 0.4.0 | Robust Regression with Data Driven Tuning Parameter | You-Gan Wang |
| rlme | 0.5 | Rank-Based Estimation and Prediction in Random Effects Nested
Models | Yusuf Bilgic |
| Rlof | 1.1.3 | R Parallel Implementation of Local Outlier Factor(LOF) | Yingsong Hu |
| rlog | 0.1.0 | A Simple, Opinionated Logging Utility | Mark Sellors |
| RLogicalOps | 0.1 | Process Logical Operations | Sunny Kumar |
| RLRsim | 3.1-8 | Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive
Models | Fabian Scheipl |
| RLT | 3.2.6 | Reinforcement Learning Trees | Ruoqing Zhu |
| rLTP | 0.1.4 | R Interface to the 'LTP'-Cloud Service | Tong He |
| RLumCarlo | 0.1.9 | Monte-Carlo Methods for Simulating Luminescence Phenomena | Sebastian Kreutzer |
| RLumModel | 0.2.10 | Solving Ordinary Differential Equations to Understand
Luminescence | Johannes Friedrich |
| RLumShiny | 0.2.3 | 'Shiny' Applications for the R Package 'Luminescence' | Christoph Burow |
| rly | 1.7.4 | Tools to Create Formal Language Parser | Marek Jagielski |
| RM.weights | 2.0 | Weighted Rasch Modeling and Extensions using Conditional Maximum
Likelihood | Sara Viviani |
| RM2006 | 0.1.1 | RiskMetrics 2006 Methodology | Carlos Trucios |
| rma.exact | 0.1.0 | Exact Confidence Intervals for Random Effects Meta-Analyses | Haben Michael |
| RMaCzek | 1.5.1 | Czekanowski's Diagrams | Krzysztof Bartoszek |
| rmake | 1.1.0 | Makefile Generator for R Analytical Projects | Michal Burda |
| RMallow | 1.1 | Fit Multi-Modal Mallows' Models to Ranking Data | Erik Gregory |
| Rmalschains | 0.2-10 | Continuous Optimization using Memetic Algorithms with Local
Search Chains (MA-LS-Chains) | Christoph Bergmeir |
| rmapshaper | 0.5.0 | Client for 'mapshaper' for 'Geospatial' Operations | Andy Teucher |
| rmapzen | 0.5.1 | Client for 'Mapzen' and Related Map APIs | Tarak Shah |
| rmarchingcubes | 0.1.3 | Calculate 3D Contour Meshes Using the Marching Cubes Algorithm | S. H. Wilks |
| rmargint | 2.0.3 | Robust Marginal Integration Procedures | Alejandra Martinez |
| RMariaDB | 1.3.1 | Database Interface and MariaDB Driver | Kirill Müller |
| RmarineHeatWaves | 0.17.0 | Detect Marine Heat Waves and Marine Cold Spells | Albertus J. Smit |
| RMark | 3.0.0 | R Code for Mark Analysis | Jeff Laake |
| rmarkdown | 2.26 | Dynamic Documents for R | Yihui Xie |
| rmass2 | 0.0.0.2 | Repeated Measures with Attrition: Sample Sizes and Power Levels
for 2 Groups | Soumya Sahu |
| RMAT | 0.2.0 | Random Matrix Analysis Toolkit | Ali Taqi |
| rmatio | 0.19.0 | Read and Write 'Matlab' Files | Stefan Widgren |
| RMAWGEN | 1.3.7 | Multi-Site Auto-Regressive Weather GENerator | Emanuele Cordano |
| rmBayes | 0.1.16 | Performing Bayesian Inference for Repeated-Measures Designs | Zhengxiao Wei |
| RMBC | 0.1.0 | Robust Model Based Clustering | Juan Domingo Gonzalez |
| RMCC | 0.1.0 | Airborne LiDAR Filtering Method Based on Multiscale Curvature | Jean-Romain Roussel |
| rmcfs | 1.3.5 | The MCFS-ID Algorithm for Feature Selection and Interdependency
Discovery | Michal Draminski |
| rmcorr | 0.6.0 | Repeated Measures Correlation | Laura R. Marusich |
| rmda | 1.6 | Risk Model Decision Analysis | Marshall Brown |
| RmdConcord | 0.3 | Concordances for 'R Markdown' | Duncan Murdoch |
| rmdfiltr | 0.1.3 | 'Lua'-Filters for R Markdown | Frederik Aust |
| rmdformats | 1.0.4 | HTML Output Formats and Templates for 'rmarkdown' Documents | Julien Barnier |
| rmdHelpers | 1.2 | Helper Functions for Rmd Documents | Mark Peterson |
| rmdpartials | 0.5.8 | Partial 'rmarkdown' Documents to Prettify your Reports | Ruben Arslan |
| rmdplugr | 0.4.1 | Plugins for R Markdown Formats | Johan Larsson |
| rmdwc | 0.3.0 | Count Words, Chars and Non-Whitespace Chars in R Markdown Docs | Sigbert Klinke |
| rMEA | 1.2.2 | Synchrony in Motion Energy Analysis (MEA) Time-Series | Johann R. Kleinbub |
| RmecabKo | 0.1.6.2 | An 'Rcpp' Interface for Eunjeon Project | Junhewk Kim |
| RMediation | 1.2.2 | Mediation Analysis Confidence Intervals | Davood Tofighi |
| rmerec | 0.1.1 | MEREC - Method Based on the Removal Effects of Criteria | Lucas Sebastião de Paula |
| rmeta | 3.0 | Meta-Analysis | Thomas Lumley |
| rmetalog | 1.0.3 | The Metalog Distribution | Isaac Faber |
| rmfanova | 0.1.0 | Repeated Measures Functional Analysis of Variance | Lukasz Smaga |
| rmgarch | 1.3-9 | Multivariate GARCH Models | Alexios Galanos |
| rmi | 0.1.1 | Mutual Information Estimators | Isaac Michaud |
| rMIDAS | 1.0.0 | Multiple Imputation with Denoising Autoencoders | Thomas Robinson |
| rminer | 1.4.6 | Data Mining Classification and Regression Methods | Paulo Cortez |
| rminizinc | 0.0.8 | R Interface to 'MiniZinc' | Akshit Achara |
| rminqa | 0.2.2 | Derivative-Free Optimization in R using C++ | Yi Pan |
| rmio | 0.4.0 | Provides 'mio' C++11 Header Files | Florian Privé |
| Rmisc | 1.5.1 | Ryan Miscellaneous | Ryan M. Hope |
| Rmixmod | 2.1.10 | Classification with Mixture Modelling | Quentin Grimonprez |
| RMixpanel | 0.7-1 | API for Mixpanel | Meinhard Ploner |
| RMixtComp | 4.1.4 | Mixture Models with Heterogeneous and (Partially) Missing Data | Quentin Grimonprez |
| RMixtCompIO | 4.0.11 | Minimal Interface of the C++ 'MixtComp' Library for Mixture
Models with Heterogeneous and (Partially) Missing Data | Quentin Grimonprez |
| RMixtCompUtilities | 4.1.6 | Utility Functions for 'MixtComp' Outputs | Quentin Grimonprez |
| RMKdiscrete | 0.2 | Sundry Discrete Probability Distributions | Robert M. Kirkpatrick |
| RMLPCA | 0.0.1 | Maximum Likelihood Principal Component Analysis | Renan Santos Barbosa |
| RMM | 0.1.0 | Revenue Management Modeling | Chul Kim |
| RMOA | 1.1.0 | Connect R with MOA for Massive Online Analysis | Jan Wijffels |
| RMOAjars | 1.2.0 | External jars Required for Package RMOA | Jan Wijffels |
| Rmodule | 1.0 | Automated Markov Chain Monte Carlo for Arbitrarily Structured
Correlation Matrices | John Hughes |
| Rmolt | 1.0.0 | Graphic Visualization of the Birds' Molt | Martin Bozon |
| rmonad | 0.7.0 | A Monadic Pipeline System | Zebulun Arendsee |
| Rmonize | 1.0.1 | Support Retrospective Harmonization of Data | Guillaume Fabre |
| rmoo | 0.2.0 | Multi-Objective Optimization in R | Francisco Benitez |
| RMOPI | 1.1 | Risk Management and Optimization for Portfolio Investment | Wei Ling |
| Rmosek | 1.3.5 | The R to MOSEK Optimization Interface | Henrik A. Friberg |
| rMOST | 1.0.1 | Estimates Pareto-Optimal Solution for Hiring with 3 Objectives | Chelsea Song |
| rmp | 2.2 | Rounded Mixture Package | Antonio Canale |
| Rmpfr | 0.9-5 | R MPFR - Multiple Precision Floating-Point Reliable | Martin Maechler |
| Rmpi | 0.7-2 | Interface (Wrapper) to MPI (Message-Passing Interface) | Hao Yu |
| RMPSH | 1.1.1 | Recursive Modified Pattern Search on Hyper-Rectangle | Priyam Das |
| rmpw | 0.0.5 | Causal Mediation Analysis Using Weighting Approach | Xu Qin |
| rMR | 1.1.0 | Importing Data from Loligo Systems Software, Calculating
Metabolic Rates and Critical Tensions | Tyler L. Moulton |
| rms | 6.8-0 | Regression Modeling Strategies | Frank E Harrell Jr |
| rmsb | 1.1-0 | Bayesian Regression Modeling Strategies | Frank Harrell |
| RMSD | 0.1.0 | Refined Modified Stahel-Donoho Estimators for Outlier Detection | Kazumi Wada |
| RMSDp | 0.1.0 | Refined Modified Stahel-Donoho (MSD) Estimators for Outlier
Detection (Parallel Version) | Kazumi Wada |
| rmsfact | 0.0.3 | Amazing Random Facts About the World's Greatest Hacker | Dirk Eddelbuettel |
| rmsfuns | 1.0.0.1 | Quickly View Data Frames in 'Excel', Build Folder Paths and
Create Date Vectors | Nico Katzke |
| RMSNumpress | 1.0.1 | 'Rcpp' Bindings to Native C++ Implementation of MS Numpress | Justin Sing |
| RMSS | 1.1.1 | Robust Multi-Model Subset Selection | Anthony Christidis |
| Rmst | 0.0.3 | Computerized Adaptive Multistage Testing | Xiao Luo |
| rmstcompsens | 0.1.5 | Comparing Restricted Mean Survival Time as Sensitivity Analysis | Kentaro Ueno |
| rmt | 1.0 | Restricted Mean Time in Favor of Treatment | Lu Mao |
| RMT4DS | 0.0.1 | Computation of Random Matrix Models | Xiucai Ding |
| RMThreshold | 1.1 | Signal-Noise Separation in Random Matrices by using Eigenvalue
Spectrum Analysis | Uwe Menzel |
| RMTL | 0.9.9 | Regularized Multi-Task Learning | Han Cao |
| RMTstat | 0.3.1 | Distributions, Statistics and Tests Derived from Random Matrix
Theory | Evan Biederstedt |
| rMultiNet | 0.1 | Multi-Layer Networks Analysis | Chenyu Ren |
| rmumps | 5.2.1-29 | Wrapper for MUMPS Library | Serguei Sokol |
| rmutil | 1.1.10 | Utilities for Nonlinear Regression and Repeated Measurements
Models | Bruce Swihart |
| RMVL | 1.0.0.1 | Mappable Vector Library for Handling Large Datasets | Vladimir Dergachev |
| rMVP | 1.0.8 | Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS
Tool | Xiaolei Liu |
| rmweather | 0.2.5 | Tools to Conduct Meteorological Normalisation and Counterfactual
Modelling for Air Quality Data | Stuart K. Grange |
| RMySQL | 0.10.27 | Database Interface and 'MySQL' Driver for R | Jeroen Ooms |
| rmytarget | 2.4.0 | Load Data from 'MyTarget API v2 and v3' | Alexey Seleznev |
| rmzqc | 0.5.3 | Creation, Reading and Validation of 'mzqc' Files | Chris Bielow |
| rnaCrosslinkOO | 0.1.2 | Analysis of RNA Crosslinking Data | Jonathan Price |
| rnames | 1.0.1 | Recursive Display of Items in Nested Lists | Diego Ciccia |
| RNAmf | 0.1.2 | Recursive Non-Additive Emulator for Multi-Fidelity Data | Junoh Heo |
| Rnanoflann | 0.0.2 | Extremely Fast Nearest Neighbor Search | Manos Papadakis |
| RNAseqNet | 0.1.5 | Log-Linear Poisson Graphical Model with Hot-Deck Multiple
Imputation | Nathalie Vialaneix |
| RNAseqQC | 0.1.4 | Quality Control for RNA-Seq Data | Frederik Ziebell |
| RNAsmc | 0.8.0 | RNA Secondary Structure Module Mining, Comparison and Plotting | Zheng HeWei<406649023 at qq.com> |
| rnassqs | 0.6.1 | Access Data from the NASS 'Quick Stats' API | Nicholas Potter |
| rnaturalearth | 1.0.1 | World Map Data from Natural Earth | Philippe Massicotte |
| rnaturalearthdata | 1.0.0 | World Vector Map Data from Natural Earth Used in 'rnaturalearth' | Philippe Massicotte |
| RnavGraphImageData | 0.0.4 | Image Data Used in the Loon Package Demos | Adrian Waddell |
| rnbp | 0.2.1 | Wrapper for the National Bank of Poland API | Ryszard Szymanski |
| RNCBIEUtilsLibs | 0.9 | EUtils libraries for use in the R environment. | Martin Schumann |
| RNCEP | 1.0.10 | Obtain, Organize, and Visualize NCEP Weather Data | Michael U. Kemp |
| rncl | 0.8.7 | An Interface to the Nexus Class Library | Francois Michonneau |
| RND | 1.2 | Risk Neutral Density Extraction Package | Kam Hamidieh |
| rNeighborGWAS | 1.2.4 | Testing Neighbor Effects in Marker-Based Regressions | Yasuhiro Sato |
| rNeighborQTL | 1.1.2 | Interval Mapping for Quantitative Trait Loci Underlying Neighbor
Effects | Yasuhiro Sato |
| RNentropy | 1.2.3 | Entropy Based Method for the Detection of Significant Variation
in Gene Expression Data | Federico Zambelli |
| rneos | 0.4-0 | XML-RPC Interface to NEOS | Bernhard Pfaff |
| rnetcarto | 0.2.6 | Fast Network Modularity and Roles Computation by Simulated
Annealing (Rgraph C Library Wrapper for R) | Daniel B. Stouffer |
| RNetCDF | 2.9-2 | Interface to 'NetCDF' Datasets | Milton Woods |
| RNetLogo | 1.0-4 | Provides an Interface to the Agent-Based Modelling Platform
'NetLogo' | Jan C. Thiele |
| RNewsflow | 1.2.8 | Tools for Comparing Text Messages Across Time and Media | Kasper Welbers |
| RNeXML | 2.4.11 | Semantically Rich I/O for the 'NeXML' Format | Carl Boettiger |
| RNGforGPD | 1.1.0 | Random Number Generation for Generalized Poisson Distribution | Ruizhe Chen |
| rngSetSeed | 0.3-3 | Seeding the Default RNG with a Numeric Vector | Petr Savicky |
| rngtools | 1.5.2 | Utility Functions for Working with Random Number Generators | Renaud Gaujoux |
| rngWELL | 0.10-9 | Toolbox for WELL Random Number Generators | Christophe Dutang |
| RNHANES | 1.1.0 | Facilitates Analysis of CDC NHANES Data | Herb Susmann |
| RNifti | 1.6.1 | Fast R and C++ Access to NIfTI Images | Jon Clayden |
| RNiftyReg | 2.8.1 | Image Registration Using the 'NiftyReg' Library | Jon Clayden |
| Rnightly | 0.1.0 | A Wrapper of the 'JavaScript' Library 'Nightly' | Mohamed El Fodil Ihaddaden |
| rnmamod | 0.4.0 | Bayesian Network Meta-Analysis with Missing Participants | Loukia Spineli |
| Rnmr1D | 1.3.2 | Perform the Complete Processing of a Set of Proton Nuclear
Magnetic Resonance Spectra | Daniel Jacob |
| rnn | 1.9.0 | Recurrent Neural Network | Bastiaan Quast |
| rnndescent | 0.1.4 | Nearest Neighbor Descent Method for Approximate Nearest
Neighbors | James Melville |
| rNOMADS | 2.5.3 | An R Interface to the NOAA Operational Model Archive and
Distribution System | Daniel C. Bowman |
| RNOmni | 1.0.1.2 | Rank Normal Transformation Omnibus Test | Zachary McCaw |
| rnpn | 1.2.8.0 | Interface to the National 'Phenology' Network 'API' | Jeff Switzer |
| rnr | 0.2.1 | Rosenbaum and Rubin Sensitivity | Jongbin Jung |
| rnrfa | 2.1.0.5 | UK National River Flow Archive Data from R | Ilaria Prosdocimi |
| Rnumerai | 3.0.1 | Interface to the Numerai Machine Learning Tournament API | Eric Hare |
| Rnvd3 | 1.0.0 | An Incomplete Wrapper of the 'nvd3' JavaScript Library | Stéphane Laurent |
| roadoi | 0.7.2 | Find Free Versions of Scholarly Publications via Unpaywall | Najko Jahn |
| roads | 1.1.1 | Road Network Projection | Sarah Endicott |
| roahd | 1.4.3 | Robust Analysis of High Dimensional Data | Aymeric Stamm |
| ROAuth | 0.9.6 | R Interface For OAuth | Pablo Barbera |
| RobAStBase | 1.2.5 | Robust Asymptotic Statistics | Matthias Kohl |
| RobAStRDA | 1.2.1 | Interpolation Grids for Packages of the 'RobASt' - Family of
Packages | Peter Ruckdeschel |
| robber | 0.2.4 | Using Block Model to Estimate the Robustness of Ecological
Network | Saint-Clair Chabert-Liddell |
| robcbi | 1.1-4 | Conditionally Unbiased Bounded Influence Estimates | A. Randriamiharisoa |
| robCompositions | 2.4.1 | Compositional Data Analysis | Matthias Templ |
| robcor | 0.1-6.1 | Robust Correlations | Paul Smirnov |
| roben | 0.1.1 | Robust Bayesian Variable Selection for Gene-Environment
Interactions | Jie Ren |
| robeth | 2.7-8 | R Functions for Robust Statistics | A. Randriamiharisoa |
| RobExtremes | 1.3.0 | Optimally Robust Estimation for Extreme Value Distributions | Peter Ruckdeschel |
| robfilter | 4.1.4 | Robust Time Series Filters | Roland Fried |
| robflreg | 1.2 | Robust Functional Linear Regression | Ufuk Beyaztas |
| RobGARCHBoot | 1.2.0 | Robust Bootstrap Forecast Densities for GARCH Models | Carlos Trucios |
| robin | 1.1.2 | ROBustness in Network | Valeria Policastro |
| RobinHood | 1.7.0 | Interface for the RobinHood.com No Commission Investing Platform | Joseph Blubaugh |
| robis | 2.11.3 | Ocean Biodiversity Information System (OBIS) Client | Pieter Provoost |
| RobKF | 1.0.2 | Innovative and/or Additive Outlier Robust Kalman Filtering | Daniel Grose |
| RobLox | 1.2.1 | Optimally Robust Influence Curves and Estimators for Location
and Scale | Matthias Kohl |
| RobLoxBioC | 1.2.2 | Infinitesimally Robust Estimators for Preprocessing -Omics Data | Matthias Kohl |
| RoBMA | 3.1.0 | Robust Bayesian Meta-Analyses | František Bartoš |
| robmed | 1.0.2 | (Robust) Mediation Analysis | Andreas Alfons |
| robmedExtra | 0.1.0 | Extra Functionality for (Robust) Mediation Analysis | Andreas Alfons |
| robmixglm | 1.2-3 | Robust Generalized Linear Models (GLM) using Mixtures | Ken Beath |
| RobMixReg | 1.1.0 | Robust Mixture Regression | Wennan Chang |
| robnptests | 1.1.0 | Robust Nonparametric Two-Sample Tests for Location/Scale | Sermad Abbas |
| roboBayes | 1.2 | Robust Online Bayesian Monitoring | Shannon T. Holloway |
| robomit | 1.0.6 | Robustness Checks for Omitted Variable Bias | Sergei Schaub |
| robotoolbox | 1.3.2 | Client for the 'KoboToolbox' API | Ahmadou Dicko |
| robotstxt | 0.7.13 | A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler'
Permissions Checker | Peter Meissner |
| RobPer | 1.2.3 | Robust Periodogram and Periodicity Detection Methods | Jonathan Rathjens |
| robreg3S | 0.3 | Three-Step Regression and Inference for Cellwise and Casewise
Contamination | Andy Leung |
| robregcc | 1.1 | Robust Regression with Compositional Covariates | Aditya Mishra |
| RoBSA | 1.0.2 | Robust Bayesian Survival Analysis | František Bartoš |
| robsel | 0.1.0 | Robust Selection Algorithm | Chau Tran |
| robservable | 0.2.2 | Import an Observable Notebook as HTML Widget | Julien Barnier |
| robslopes | 1.1.3 | Fast Algorithms for Robust Slopes | Jakob Raymaekers |
| RobStatTM | 1.0.8 | Robust Statistics: Theory and Methods | Matias Salibian-Barrera |
| robStepSplitReg | 1.1.0 | Robust Stepwise Split Regularized Regression | Anthony Christidis |
| robsurvey | 0.6 | Robust Survey Statistics Estimation | Tobias Schoch |
| RoBTT | 1.3.0 | Robust Bayesian T-Test | František Bartoš |
| robumeta | 2.1 | Robust Variance Meta-Regression | Zachary Fisher |
| robust | 0.7-4 | Port of the S+ "Robust Library" | Valentin Todorov |
| robust2sls | 0.2.2 | Outlier Robust Two-Stage Least Squares Inference and Testing | Jonas Kurle |
| RobustAFT | 1.4-7 | Truncated Maximum Likelihood Fit and Robust Accelerated Failure
Time Regression for Gaussian and Log-Weibull Case | A. Randriamiharisoa |
| RobustANOVA | 0.3.0 | Robust One-Way ANOVA Tests under Heteroscedasticity and
Nonnormality | Gamze Guven |
| robustbase | 0.99-2 | Basic Robust Statistics | Martin Maechler |
| RobustBayesianCopas | 2.0 | Robust Bayesian Copas Selection Model | Ray Bai |
| robustbetareg | 0.3.0 | Robust Beta Regression | Felipe Queiroz |
| RobustBF | 0.2.0 | Robust Solution to the Behrens-Fisher Problem | Gamze Guven |
| robustBLME | 0.1.3 | Robust Bayesian Linear Mixed-Effects Models using ABC | Erlis Ruli |
| RobustCalibration | 0.5.4 | Robust Calibration of Imperfect Mathematical Models | Mengyang Gu |
| robustcov | 0.1 | Collection of Robust Covariance and (Sparse) Precision Matrix
Estimators | Yunyi Shen |
| robustDA | 1.2 | Robust Mixture Discriminant Analysis | Charles Bouveyron |
| robusTest | 1.0.1 | Calibrated Correlation and Two-Sample Tests | Olivier Bouaziz |
| robustETM | 1.0 | Robust Methods using Exponential Tilt Model | Chuan Hong |
| robustfa | 1.1-0 | Object Oriented Solution for Robust Factor Analysis | Frederic Bertrand |
| RobustGaSP | 0.6.6 | Robust Gaussian Stochastic Process Emulation | Mengyang Gu |
| robustHD | 0.8.0 | Robust Methods for High-Dimensional Data | Andreas Alfons |
| RobustIV | 0.2.5 | Robust Instrumental Variable Methods in Linear Models | Zijian Guo |
| RobustLinearReg | 1.2.0 | Robust Linear Regressions | Santiago I. Hurtado |
| robustlm | 0.1.0 | Robust Variable Selection with Exponential Squared Loss | Jin Zhu |
| robustlmm | 3.3-1 | Robust Linear Mixed Effects Models | Manuel Koller |
| robustmatrix | 0.1.2 | Robust Matrix-Variate Parameter Estimation | Marcus Mayrhofer |
| robustmeta | 1.2-1 | Robust Inference for Meta-Analysis with Influential Outlying
Studies | Hisashi Noma |
| robustrank | 2024.1-28 | Robust Rank-Based Tests | Youyi Fong |
| RobustRankAggreg | 1.2.1 | Methods for Robust Rank Aggregation | Raivo Kolde |
| robustrao | 1.0-5 | An Extended Rao-Stirling Diversity Index to Handle Missing Data | Maria del Carmen Calatrava Moreno
|
| robustreg | 0.1-11 | Robust Regression Functions | Ian M. Johnson |
| robustsae | 0.1.0 | Robust Bayesian Small Area Estimation | Jiyoun Myung |
| robustsur | 0.0-7 | Robust Estimation for Seemingly Unrelated Regression Models | Claudio Agostinelli |
| robustvarComp | 0.1-7 | Robust Estimation of Variance Component Models | Claudio Agostinelli |
| robustX | 1.2-7 | 'eXtra' / 'eXperimental' Functionality for Robust Statistics | Martin Maechler |
| robvis | 0.3.0 | Visualize the Results of Risk-of-Bias (ROB) Assessments | Luke McGuinness |
| Robyn | 3.10.3 | Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing
Science | Bernardo Lares |
| ROCaggregator | 1.0.1 | Aggregate Multiple ROC Curves into One Global ROC | Pedro Mateus |
| rocbc | 3.0.0 | Statistical Inference for Box-Cox Based Receiver Operating
Characteristic Curves | Benjamin Brewer |
| rocc | 1.3 | ROC Based Classification | Martin Lauss |
| roccv | 1.2 | ROC for Cross Validation Results | Ben Sherwood |
| ROCFTP.MMS | 1.0.0 | Perfect Sampling | Majid Nabipoor |
| ROCit | 2.1.1 | Performance Assessment of Binary Classifier with Visualization | Md Riaz Ahmed Khan |
| rock | 0.8.1 | Reproducible Open Coding Kit | Gjalt-Jorn Peters |
| rockchalk | 1.8.157 | Regression Estimation and Presentation | Paul E. Johnson |
| rocker | 0.3.1 | Database Interface Class | Nikolaus Pawlowski |
| ROCket | 1.0.1 | Simple and Fast ROC Curves | Daniel Lazar |
| RockFab | 1.2.1 | Rock Fabric and Strain Analysis Tools | Jeffrey R. Webber |
| rockr | 1.0.0 | 'Rock' R Server Client | Yannick Marcon |
| roclang | 0.2.2 | Functions for Diffusing Function Documentations into 'Roxygen'
Comments | Xiurui Zhu |
| rocNIT | 1.0 | Non-Inferiority Test for Paired ROC Curves | Zhicheng Du |
| rocnp | 0.1.0 | Work with Romanian Personal Numeric Codes PNC / CNP | Dragoș Moldovan-Grünfeld |
| ROCnReg | 1.0-8 | ROC Curve Inference with and without Covariates | Maria Xose Rodriguez-Alvarez |
| rococo | 1.1.7 | Robust Rank Correlation Coefficient and Test | Ulrich Bodenhofer |
| ROCpsych | 1.3 | Compute and Compare Diagnostic Test Statistics Across Groups | Shenghai Dai |
| ROCR | 1.0-11 | Visualizing the Performance of Scoring Classifiers | Felix G.M. Ernst |
| ROCSI | 0.1.0 | Receiver Operating Characteristic Based Signature Identification | Xin Huang |
| rocsvm.path | 0.1.0 | The Entire Solution Paths for ROC-SVM | Seung Jun Shin |
| rocTree | 1.1.1 | Receiver Operating Characteristic (ROC)-Guided Classification
and Survival Tree | Sy Han Chiou |
| RODBC | 1.3-23 | ODBC Database Access | Brian Ripley |
| RODBCDBI | 0.1.1 | Provides Access to Databases Through the ODBC Interface | Nagi Teramo |
| rodd | 0.2-1 | Optimal Discriminating Designs | Roman Guchenko |
| rODE | 0.99.6 | Ordinary Differential Equation (ODE) Solvers Written in R Using
S4 Classes | Alfonso R. Reyes |
| rodeo | 0.7.8 | A Code Generator for ODE-Based Models | David Kneis |
| rofanova | 1.0.0 | Robust Functional Analysis of Variance | Fabio Centofanti |
| roger | 1.5-1 | Automated Grading of R Scripts | Vincent Goulet |
| Rogue | 2.1.6 | Identify Rogue Taxa in Sets of Phylogenetic Trees | Martin R. Smith |
| ROI | 1.0-1 | R Optimization Infrastructure | Stefan Theussl |
| ROI.models.globalOptTests | 1.1-1 | 'ROI' Optimization Problems Based on 'globalOptTests' | Florian Schwendinger |
| ROI.models.miplib | 1.0-0 | 'ROI' Access to 'MIPLIB' 2010 Benchmark Instances | Florian Schwendinger |
| ROI.models.netlib | 1.1-2 | 'ROI' Optimization Problems Based on 'NETLIB-LP' | Florian Schwendinger |
| ROI.plugin.alabama | 1.0-2 | 'alabama' Plug-in for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.clarabel | 0.3 | 'clarabel' Plug-in for the 'R' Optimization Infrastructure | Benjamin Schwendinger |
| ROI.plugin.cplex | 0.3-0 | ROI Plug-in CPLEX | Stefan Theussl |
| ROI.plugin.deoptim | 1.0-2 | 'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization
Interface | Florian Schwendinger |
| ROI.plugin.ecos | 1.0-2 | 'ECOS' Plugin for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.glpk | 1.0-0 | 'ROI' Plug-in 'GLPK' | Stefan Theussl |
| ROI.plugin.highs | 1.0-3 | 'HiGHS' Plugin for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.ipop | 1.0-0 | 'ipop' Plug-in for the 'R' Optimization Interface | Florian Schwendinger |
| ROI.plugin.lpsolve | 1.0-2 | 'lp_solve' Plugin for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.msbinlp | 1.0-1 | 'Multi-Solution' Binary Linear Problem Plug-in for the 'R'
Optimization Interface | Florian Schwendinger |
| ROI.plugin.neos | 1.0-2 | 'NEOS' Plug-in for the 'R' Optimization Interface | Florian Schwendinger |
| ROI.plugin.nloptr | 1.0-1 | 'nloptr' Plug-in for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.optimx | 1.0-1 | 'optimx' Plug-in for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.osqp | 1.0-1 | 'osqp' Plugin for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.qpoases | 1.0-3 | 'qpOASES' Plugin for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.quadprog | 1.0-1 | 'quadprog' Plug-in for the 'R' Optimization Infrastructure | Stefan Theussl |
| ROI.plugin.scs | 1.1-2 | 'SCS' Plug-in for the 'R' Optimization Infrastructure | Florian Schwendinger |
| ROI.plugin.symphony | 1.0-0 | 'SYMPHONY' Plug-in for the 'R' Optimization Interface | Stefan Theussl |
| rolap | 2.5.1 | Obtaining Star Databases from Flat Tables | Jose Samos |
| roll | 1.1.7 | Rolling and Expanding Statistics | Jason Foster |
| rollama | 0.0.3 | Communicate with 'Ollama' | Johannes B. Gruber |
| rollbar | 0.1.0 | Error Tracking and Logging | Andrew Kane |
| rolldown | 0.1 | R Markdown Output Formats for Storytelling | Yihui Xie |
| rollinglda | 0.1.3 | Construct Consistent Time Series from Textual Data | Jonas Rieger |
| rollmatch | 2.0.3 | Rolling Entry Matching | Rob Chew |
| roloc | 0.1-2 | Convert Colour Specification to Colour Name | Paul Murrell |
| rolocISCCNBS | 0.1 | A Colour List and Colour Metric Based on the ISCC-NBS System of
Color Designation | Paul Murrell |
| rolog | 0.9.16 | Query 'SWI'-'Prolog' from R | Matthias Gondan |
| ROlogit | 0.1.2 | Fit Rank-Ordered Logit (RO-Logit) Model | Ning Yilin |
| rolr | 1.0.0 | Finding Optimal Three-Group Splits Based on a Survival Outcome | Pingping Qu |
| RolWinMulCor | 1.2.0 | Subroutines to Estimate Rolling Window Multiple Correlation | Josue M. Polanco-Martinez |
| RolWinWavCor | 0.4.0 | Estimate Rolling Window Wavelet Correlation Between Two Time
Series | Josué M. Polanco-Martínez |
| ROMDB | 0.1.0 | Get 'OMDB' API Multiple Information | Alberto Almuiña |
| romic | 1.1.3 | R for High-Dimensional Omic Data | Sean Hackett |
| RonFHIR | 0.4.0 | Read and Search Interface to the 'HL7 FHIR' REST API | Sander Laverman |
| Rook | 1.2 | HTTP Web Server for R | Evan Biederstedt |
| ROOPSD | 0.3.9 | R Object Oriented Programming for Statistical Distribution | Yoann Robin |
| roots | 1.0 | Reconstructing Ordered Ontogenic Trajectories | Wajid Jawaid |
| RootsExtremaInflections | 1.2.1 | Finds Roots, Extrema and Inflection Points of a Curve | Demetris T. Christopoulos |
| rootSolve | 1.8.2.4 | Nonlinear Root Finding, Equilibrium and Steady-State Analysis of
Ordinary Differential Equations | Karline Soetaert |
| rope | 1.0 | Model Selection with FDR Control of Selected Variables | Jonatan Kallus |
| ropenblas | 0.3.0 | Download, Compile and Link 'OpenBLAS' Library with R | Pedro Rafael D. Marinho |
| ROpenCVLite | 4.90.1 | Helper Package for Installing OpenCV with R | Simon Garnier |
| ropendata | 0.1.0 | Query and Download 'Rapid7' 'Cybersecurity' Data Sets | Bob Rudis |
| ROpenDota | 0.1.2 | Access OpenDota Services in R | Rosdyana Kusuma |
| ROpenFIGI | 0.2.8 | R Interface to OpenFIGI | Ruokun Huang |
| ropensecretsapi | 1.0.1 | R Package for the OpenSecrets.org API | Thomas P. Fuller |
| ROpenWeatherMap | 1.1 | R Interface to OpenWeatherMap API | Mukul Chaware |
| roperators | 1.3.14 | Additional Operators to Help you Write Cleaner R Code | Ben Wiseman |
| ropercenter | 0.3.2 | Reproducible Data Retrieval from the Roper Center Data Archive | Frederick Solt |
| Ropj | 0.3-5 | Import Origin(R) Project Files | Ivan Krylov |
| ROptEst | 1.3.3 | Optimally Robust Estimation | Matthias Kohl |
| roptim | 0.1.6 | General Purpose Optimization in R using C++ | Yi Pan |
| ROptimus | 3.0.0 | A Parallel General-Purpose Adaptive Optimisation Engine | Aleksandr B. Sahakyan |
| roptions | 1.0.3 | Option Strategies and Valuation | Anurag Agrawal |
| ROptSpace | 0.2.3 | Matrix Reconstruction from a Few Entries | Kisung You |
| ROracle | 1.3-1.1 | OCI Based Oracle Database Interface for R | Rajendra S. Pingte |
| rorcid | 0.7.0 | Interface to the 'Orcid.org' API | Scott Chamberlain |
| rorqual.morpho | 0.1.1 | Morphological Allometry of Rorquals | Max Czapanskiy |
| ROSE | 0.0-4 | Random Over-Sampling Examples | Nicola Lunardon |
| Rosenbrock | 0.1.0 | Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo
(MCMC) Sampler Benchmarking | Martin Wiegand |
| rosetta | 0.3.12 | Parallel Use of Statistical Packages in Teaching | Gjalt-Jorn Peters |
| rosetteApi | 1.14.4 | 'Rosette' API | Seth Gransky |
| rosm | 0.3.0 | Plot Raster Map Tiles from Open Street Map and Other Sources | Dewey Dunnington |
| rosmium | 0.1.0 | Bindings for 'Osmium Tool' | Daniel Herszenhut |
| rospca | 1.1.0 | Robust Sparse PCA using the ROSPCA Algorithm | Tom Reynkens |
| rosv | 0.5.1 | Client to Access and Operate on the 'Open Source Vulnerability'
API | Allen OBrien |
| rotasym | 1.1.5 | Tests for Rotational Symmetry on the Hypersphere | Eduardo García-Portugués |
| rotationForest | 0.1.3 | Fit and Deploy Rotation Forest Models | Michel Ballings |
| rotations | 1.6.5 | Working with Rotation Data | Bryan Stanfill |
| rotatogram | 0.1.3 | A Non-Axis-Dominant Association Plotting Tool | Noah Haber |
| rotl | 3.1.0 | Interface to the 'Open Tree of Life' API | Francois Michonneau |
| rotor | 0.3.7 | Log Rotation and Conditional Backups | Stefan Fleck |
| roughnet | 1.0.1 | Visualize Networks using 'roughjs' | David Schoch |
| RoughSets | 1.3-8 | Data Analysis Using Rough Set and Fuzzy Rough Set Theories | Christoph Bergmeir |
| roughsf | 1.0.0 | Visualize Spatial Data using 'roughjs' | David Schoch |
| round | 0.21-0.2 | Rounding to Decimal Digits | Martin Maechler |
| RoundAndRound | 0.0.1 | Plot Objects Moving in Orbits | Lele Shu |
| roundhouse | 0.0.2 | Random Chuck Norris Facts | Brandon Greenwell |
| roundyh | 0.1.0 | Round Dataframe | Duan Yuanheng |
| Routliers | 0.0.0.3 | Robust Outliers Detection | Marie Delacre |
| routr | 0.4.1 | A Simple Router for HTTP and WebSocket Requests | Thomas Lin Pedersen |
| roxut | 0.4.0 | Document Unit Tests Roxygen-Style | Bryan A. Hanson |
| roxygen2 | 7.3.1 | In-Line Documentation for R | Hadley Wickham |
| roxygen2md | 1.0.1 | 'Roxygen' to 'Markdown' | Kirill Müller |
| roxyglobals | 1.0.0 | 'Roxygen2' Global Variable Declarations | Anthony North |
| roxylint | 0.1.0 | Lint 'roxygen2'-Generated Documentation | Doug Kelkhoff |
| roxytest | 0.0.2 | Various Tests with 'roxygen2' | Mikkel Meyer Andersen |
| roxytypes | 0.1.0 | Typed Parameter Tags for Integration with 'roxygen2' | Doug Kelkhoff |
| rPACI | 0.2.2 | Placido Analysis of Corneal Irregularity | Darío Ramos-López |
| rPackedBar | 0.2.2 | Packed Bar Charts with 'plotly' | Adam Spannbauer |
| rpact | 3.5.1 | Confirmatory Adaptive Clinical Trial Design and Analysis | Friedrich Pahlke |
| Rpadrino | 0.0.5 | Interact with the 'PADRINO' IPM Database | Sam Levin |
| rPAex | 1.0.5 | Automatic Detection of Experimental Unit in Precision
Agriculture | Felipe de Mendiburu |
| rpaleoclim | 1.0.1 | Download Paleoclimate Data from 'PaleoClim' | Joe Roe |
| RPANDA | 2.3 | Phylogenetic ANalyses of DiversificAtion | Hélène Morlon |
| rpanel | 1.1-5.2 | Simple Interactive Controls for R using the 'tcltk' Package | Adrian Bowman |
| rPanglaoDB | 0.2.1 | Download and Merge Single-Cell RNA-Seq Data from the PanglaoDB
Database | Daniel Osorio |
| rpart | 4.1.23 | Recursive Partitioning and Regression Trees | Beth Atkinson |
| rpart.LAD | 0.1.3 | Least Absolute Deviation Regression Trees | Stephan Dlugosz |
| rpart.plot | 3.1.2 | Plot 'rpart' Models: An Enhanced Version of 'plot.rpart' | Stephen Milborrow |
| rpartScore | 1.0-2 | Classification Trees for Ordinal Responses | Giuliano Galimberti |
| rPBK | 0.2.4 | Inference and Prediction of Generic Physiologically-Based
Kinetic Models | Virgile Baudrot |
| rpca | 0.2.3 | RobustPCA: Decompose a Matrix into Low-Rank and Sparse
Components | Maciek Sykulski |
| Rpdb | 2.3.4 | Read, Write, Visualize and Manipulate PDB Files | Leonard Mada |
| rPDBapi | 1.1 | A Comprehensive Interface for Accessing the Protein Data Bank | Selcuk Korkmaz |
| rpdo | 0.3.2 | Pacific Decadal Oscillation Index Data | Joe Thorley |
| RPDTest | 0.0.1 | A New Type of Test Statistic and Method for Multinomial
Goodness-of-Fit Test | Renkang Liu |
| RpeakChrom | 1.1.0 | Tools for Chromatographic Column Characterization and Modelling
Chromatographic Peak | Manuel David Peris Diaz |
| RPEGLMEN | 1.1.2 | Gamma and Exponential Generalized Linear Models with Elastic Net
Penalty | Anthony Christidis |
| RPEIF | 1.2.4 | Computation and Plots of Influence Functions for Risk and
Performance Measures | Anthony Christidis |
| RPEnsemble | 0.5 | Random Projection Ensemble Classification | Timothy I. Cannings |
| RPESE | 1.2.5 | Estimates of Standard Errors for Risk and Performance Measures | Anthony Christidis |
| RPEXE.RPEXT | 0.0.2 | Reduced Piecewise Exponential Estimate/Test Software | Gang Han |
| rpf | 1.0.14 | Response Probability Functions | Joshua Pritikin |
| RPhosFate | 1.0.4 | Soil and Chemical Substance Emission and Transport Model | Gerold Hepp |
| Rphylopars | 0.3.10 | Phylogenetic Comparative Tools for Missing Data and
Within-Species Variation | Eric W. Goolsby |
| rphylopic | 1.3.0 | Get Silhouettes of Organisms from PhyloPic | William Gearty |
| rpinterest | 0.3.1 | Access Pinterest API | Colin FAY |
| rpivotTable | 0.3.0 | Build Powerful Pivot Tables and Dynamically Slice & Dice your
Data | Enzo Martoglio |
| rplotengine | 1.0-9 | R as a Plotting Engine | Pedro-Pablo Garrido Abenza |
| rpls | 0.6.0 | Robust Partial Least Squares | Peter Filzmoser |
| rplum | 0.4.0 | Bayesian Age-Depth Modelling of Cores Dated by Pb-210 | Maarten Blaauw |
| rpm | 0.7-1 | Modeling of Revealed Preferences Matchings | Mark S. Handcock |
| RPMG | 2.2-7 | Graphical User Interface (GUI) for Interactive R Analysis
Sessions | Jonathan M. Lees |
| RPMM | 1.25 | Recursively Partitioned Mixture Model | E. Andres Houseman |
| rpmodel | 1.2.0 | P-Model | Benjamin Stocker |
| rpms | 0.5.1 | Recursive Partitioning for Modeling Survey Data | Daniell Toth |
| rpnf | 1.0.5 | Point and Figure Package | Sascha Herrmann |
| Rpoet | 1.1.0 | 'PoetryDB' API Wrapper | Aaron Schlegel |
| Rpolyhedra | 0.5.4 | Polyhedra Database | Alejandro Baranek |
| Rpoppler | 0.1-2 | PDF Tools Based on Poppler | Kurt Hornik |
| rportfolio | 0.0.3 | Portfolio Theory | Anurag Agrawal |
| rpostgis | 1.5.1 | R Interface to a 'PostGIS' Database | Adrián Cidre González |
| RPostgres | 1.4.6 | C++ Interface to PostgreSQL | Kirill Müller |
| RPostgreSQL | 0.7-6 | R Interface to the 'PostgreSQL' Database System | Tomoaki Nishiyama |
| rPowerSampleSize | 1.0.2 | Sample Size Computations Controlling the Type-II Generalized
Family-Wise Error Rate | Pierre Lafaye de Micheaux |
| RPPairwiseDesign | 1.0 | Resolvable partially pairwise balanced design and Space-filling
design via association scheme | Mohamed Laib |
| RPPanalyzer | 1.4.9 | Reads, Annotates, and Normalizes Reverse Phase Protein Array
Data | Torsten Schoeps |
| RPPASPACE | 1.0.10 | Reverse-Phase Protein Array Super Position and Concentration
Evaluation | James M. Melott |
| rpql | 0.8.1 | Regularized PQL for Joint Selection in GLMMs | Francis Hui |
| rPraat | 1.3.2-1 | Interface to Praat | Tomas Boril |
| rpredictit | 0.1.0 | Interface to the 'PredictIt' API | Daniel Kovtun |
| rPref | 1.4.0 | Database Preferences and Skyline Computation | Patrick Roocks |
| RPresto | 1.4.6 | DBI Connector to Presto | Jarod G.R. Meng |
| rprev | 1.0.5 | Estimating Disease Prevalence from Registry Data | Stuart Lacy |
| rprime | 0.1.2 | Functions for Working with 'Eprime' Text Files | Tristan Mahr |
| rprintf | 0.2.1 | Adaptive Builder for Formatted Strings | Kun Ren |
| RprobitB | 1.1.4 | Bayesian Probit Choice Modeling | Lennart Oelschläger |
| RProbSup | 3.0 | Calculates Probability of Superiority | John Ruscio |
| Rprofet | 3.1.1 | WOE Transformation and Scorecard Builder | Thomas Brandenburger |
| rprofile | 0.4.0 | Load Both User-Global and Project-Specific R Profile
Configurations | Konrad Rudolph |
| rprojroot | 2.0.4 | Finding Files in Project Subdirectories | Kirill Müller |
| rprojtree | 1.0.0 | Create Folders and Files Structure for Data Science Projects | Miguel Conde |
| RProtoBuf | 0.4.22 | R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3) | Dirk Eddelbuettel |
| RPscoring | 0.1.0 | Relative Placement Algorithm | Daphna Harel |
| rpsftm | 1.2.9 | Rank Preserving Structural Failure Time Models | Simon Bond |
| RPtests | 0.1.5 | Goodness of Fit Tests for High-Dimensional Linear Regression
Models | Rajen Shah |
| rptR | 0.9.22 | Repeatability Estimation for Gaussian and Non-Gaussian Data | Martin Stoffel |
| RPublica | 0.1.3 | ProPublica API Client | Thomas J. Leeper |
| RPushbullet | 0.3.4 | R Interface to the Pushbullet Messaging Service | Dirk Eddelbuettel |
| rpyANTs | 0.0.3 | An Alternative Advanced Normalization Tools ('ANTs') | Zhengjia Wang |
| RPyGeo | 1.0.0 | ArcGIS Geoprocessing via Python | Alexander Brenning |
| rpymat | 0.1.7 | Easy to Configure an Isolated 'Python' Environment | Zhengjia Wang |
| rQCC | 2.22.12 | Robust Quality Control Chart | Chanseok Park |
| rqdatatable | 1.3.3 | 'rquery' for 'data.table' | John Mount |
| RQdeltaCT | 1.2.1 | Relative Quantification of Gene Expression using Delta Ct
Methods | Daniel Zalewski |
| RQEntangle | 0.1.3 | Quantum Entanglement of Bipartite System | Kwan-Yuet Ho |
| rqlm | 1.2-1 | Modified Poisson and Least-Squares Regressions for Binary
Outcome | Hisashi Noma |
| rqPen | 3.2.2 | Penalized Quantile Regression | Ben Sherwood |
| rQSAR | 1.0.0 | QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random
Forest | Oche Ambrose George |
| rqti | 0.1.1 | Create Tests According to QTI 2.1 Standard | Andrey Shevandrin |
| Rquake | 2.5-1 | Seismic Hypocenter Determination | Jonathan M. Lees |
| RQuantLib | 0.4.21 | R Interface to the 'QuantLib' Library | Dirk Eddelbuettel |
| Rquefts | 1.2-3 | Quantitative Evaluation of the Native Fertility of Tropical
Soils | Robert J. Hijmans |
| rquery | 1.4.99 | Relational Query Generator for Data Manipulation at Scale | John Mount |
| rr | 1.4.2 | Statistical Methods for the Randomized Response Technique | Graeme Blair |
| rr2 | 1.1.1 | R2s for Regression Models | Anthony Ives |
| Rramas | 0.1-6 | Matrix Population Models | Marcelino de la Cruz |
| rrandvec | 1.0.0 | Generate Random Vectors Whose Components Sum Up to One | Jakob Bossek |
| rRAP | 1.1 | Real-Time Adaptive Penalization for Streaming Lasso Models | Ricardo Pio Monti |
| rrapply | 1.2.6 | Revisiting Base Rapply | Joris Chau |
| rrat | 1.0.0 | Robust Regression with Asymmetric Heavy-Tail Noise Distributions | Yi He |
| RRate | 1.0 | Estimating Replication Rate for Genome-Wide Association Studies | Wei Jiang |
| Rraven | 1.0.13 | Connecting R and 'Raven' Sound Analysis Software | Marcelo Araya-Salas |
| rrBLUP | 4.6.3 | Ridge Regression and Other Kernels for Genomic Selection | Jeffrey Endelman |
| RRBoost | 0.1 | A Robust Boosting Algorithm | Xiaomeng Ju |
| rrcov | 1.7-5 | Scalable Robust Estimators with High Breakdown Point | Valentin Todorov |
| rrcov3way | 0.5-0 | Robust Methods for Multiway Data Analysis, Applicable also for
Compositional Data | Valentin Todorov |
| rrcovHD | 0.3-0 | Robust Multivariate Methods for High Dimensional Data | Valentin Todorov |
| rrcovNA | 0.5-1 | Scalable Robust Estimators with High Breakdown Point for
Incomplete Data | Valentin Todorov |
| Rrdap | 1.0.7 | RDAP Server Querying | Brad Cable |
| rrecsys | 0.9.7.3.1 | Environment for Evaluating Recommender Systems | Ludovik Çoba |
| rredlist | 0.7.1 | 'IUCN' Red List Client | William Gearty |
| RRedshiftSQL | 0.1.2 | R Interface to the 'Redshift' Database | Michael Treadwell |
| rrefine | 2.1.0 | r Client for OpenRefine API | VP Nagraj |
| rreg | 0.2.1 | Visualization for Norwegian Health Quality Registries | Yusman Kamaleri |
| rrepast | 0.8.0 | Invoke 'Repast Simphony' Simulation Models | Antonio Prestes Garcia |
| Rrepest | 1.3.0 | An Analyzer of International Large Scale Assessments in
Education | Rodolfo Ilizaliturri |
| rres | 1.1 | Realized Relatedness Estimation and Simulation | Bowen Wang |
| RRF | 1.9.4 | Regularized Random Forest | Houtao Deng |
| RRI | 1.1 | Residual Randomization Inference for Regression Models | Panos Toulis |
| rriskDistributions | 2.1.2 | Fitting Distributions to Given Data or Known Quantiles | Matthias Greiner |
| rrMixture | 0.1-2 | Reduced-Rank Mixture Models | Suyeon Kang |
| RRMLRfMC | 0.4.0 | Reduced-Rank Multinomial Logistic Regression for Markov Chains | Pei Wang |
| RRNA | 1.0 | Secondary Structure Plotting for RNA | JP Bida |
| rrnni | 0.1.1 | Manipulate with RNNI Tree Space | Jiří C. Moravec |
| rroad | 0.0.5 | Road Condition Analysis | Viliam Simko |
| rrpack | 0.1-13 | Reduced-Rank Regression | Kun Chen |
| RRphylo | 2.8.0 | Phylogenetic Ridge Regression Methods for Comparative Studies | Pasquale Raia |
| RRPP | 2.0.0 | Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure | Michael Collyer |
| rrr | 1.0.0 | Reduced-Rank Regression | Chris Addy |
| RRreg | 0.7.5 | Correlation and Regression Analyses for Randomized Response Data | Daniel W. Heck |
| RRRR | 1.1.1 | Online Robust Reduced-Rank Regression Estimation | Yangzhuoran Fin Yang |
| rrscale | 1.0 | Robust Re-Scaling to Better Recover Latent Effects in Data | Gregory Hunt |
| rrtable | 0.3.0 | Reproducible Research with a Table of R Codes | Keon-Woong Moon |
| RRTCS | 0.0.4 | Randomized Response Techniques for Complex Surveys | Beatriz Cobo Rodríguez |
| rrum | 0.2.1 | Bayesian Estimation of the Reduced Reparameterized Unified Model
with Gibbs Sampling | James Joseph Balamuta |
| RSA | 0.10.6 | Response Surface Analysis | Felix Schönbrodt |
| RSADBE | 1.0 | Data related to the book "R Statistical Application Development
by Example" | Prabhanjan Tattar |
| rsae | 0.3 | Robust Small Area Estimation | Tobias Schoch |
| rSAFE | 0.1.4 | Surrogate-Assisted Feature Extraction | Alicja Gosiewska |
| RSAGA | 1.4.0 | SAGA Geoprocessing and Terrain Analysis | Alexander Brenning |
| Rsagacmd | 0.4.2 | Linking R with the Open-Source 'SAGA-GIS' Software | Steven Pawley |
| rsample | 1.2.1 | General Resampling Infrastructure | Hannah Frick |
| Rsampling | 0.1.1 | Ports the Workflow of "Resampling Stats" Add-in to R | Paulo Prado |
| rsat | 0.1.21 | Dealing with Multiplatform Satellite Images | Unai Pérez - Goya |
| rsatscan | 1.0.7 | Tools, Classes, and Methods for Interfacing with 'SaTScan'
Stand-Alone Software | Scott Hostovich |
| RSauceLabs | 0.1.6 | R Wrapper for 'SauceLabs' REST API | John Harrison |
| RSBJson | 1.1.2 | Handle R Requests from R Service Bus Applications with JSON
Payloads | Tobias Verbeke |
| RSC | 2.0.4 | Robust and Sparse Correlation Matrix | Luca Coraggio |
| rSCA | 3.1 | An R Package for Stepwise Cluster Analysis | Xiuquan (Xander) Wang |
| RSCAT | 1.1.3 | Shadow-Test Approach to Computerized Adaptive Testing | Bingnan Jiang |
| rscc | 0.2.1 | R Source Code Similarity Evaluation by Variable/Function Names | Sigbert Klinke |
| RScelestial | 1.0.4 | Scelestial: Steiner Tree Based Single-Cell Lineage Tree
Inference | Mohammad Hadi Foroughmand Araabi |
| RSclient | 0.7-10 | Client for Rserve | Simon Urbanek |
| Rsconctdply | 0.1.3 | Deploys Multiple 'Shiny' Apps using Configuration File | Sai Chimata |
| rsconnect | 1.2.2 | Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io',
and 'RPubs' | Aron Atkins |
| rscontract | 0.1.2 | Generic implementation of the 'RStudio' connections contract | Nathan Stephens |
| rscopus | 0.6.6 | Scopus Database 'API' Interface | John Muschelli |
| rscorecard | 0.26.0 | A Method to Download Department of Education College Scorecard
Data | Benjamin Skinner |
| RSDA | 3.2.1 | R to Symbolic Data Analysis | Oldemar Rodriguez |
| rsdepth | 0.1-22 | Ray Shooting Depth (i.e. RS Depth) Functions for Bivariate
Analysis | Mudassir Shabbir |
| RSDK | 1.0.1 | Sudoku with R | EL KHMISSI Mohamed |
| rsdmx | 0.6-3 | Tools for Reading SDMX Data and Metadata | Emmanuel Blondel |
| rsdNE | 1.1.0 | Response Surface Designs with Neighbour Effects (rsdNE) | Ashutosh Dalal |
| RSE | 1.3 | Number of Newly Discovered Rare Species Estimation | Youhua Chen |
| rSEA | 2.1.1 | Simultaneous Enrichment Analysis | Mitra Ebrahimpoor |
| rseedcalc | 1.3 | Estimating the Proportion of Genetically Modified Seeds in
Seedlots via Multinomial Group Testing | Kevin Wright |
| RSEIS | 4.2-0 | Seismic Time Series Analysis Tools | Jonathan M. Lees |
| RSelenium | 1.7.9 | R Bindings for 'Selenium WebDriver' | Ju Yeong Kim |
| rsem | 0.5.1 | Robust Structural Equation Modeling with Missing Data and
Auxiliary Variables | Zhiyong Zhang |
| RSentiment | 2.2.2 | Analyse Sentiment of English Sentences | Subhasree Bose |
| Rserve | 1.8-13 | Binary R server | Simon Urbanek |
| rsetse | 0.5.0 | Strain Elevation Tension Spring Embedding | Jonathan Bourne |
| rsf | 0.3.0 | Report of Statistical Findings in 'bookdown' | Derek Chiu |
| rSFA | 1.5 | Slow Feature Analysis | Martin Zaefferer |
| Rsfar | 0.0.1 | Seasonal Functional Autoregressive Models | Hossein Haghbin |
| rsgeo | 0.1.6 | An Interface to Rust's 'geo' Library | Josiah Parry |
| Rsgf | 1.0.0 | SGF (Smart Game File) File Format Import | Brad Cable |
| RSGHB | 1.2.2 | Functions for Hierarchical Bayesian Estimation: A Flexible
Approach | Jeff Dumont |
| rSHAPE | 0.3.2 | Simulated Haploid Asexual Population Evolution | Jonathan Dench |
| rshift | 3.0.0 | Paleoecology Functions for Regime Shift Analysis | Alex H. Room |
| rsi | 0.2.0 | Efficiently Retrieve and Process Satellite Imagery | Michael Mahoney |
| RSiena | 1.4.7 | Siena - Simulation Investigation for Empirical Network Analysis | Tom A.B. Snijders |
| RsimMosaic | 1.0.3 | R Simple Image Mosaic Creation Library | Alberto Krone-Martins |
| rsimsum | 0.13.0 | Analysis of Simulation Studies Including Monte Carlo Error | Alessandro Gasparini |
| rsinaica | 1.0.0 | Download Data from Mexico's Air Quality Information System | Diego Valle-Jones |
| RSizeBiased | 0.1.0 | Hypothesis Testing Based on R-Size Biased Samples | Dimitrios Bagkavos |
| RSKC | 2.4.2 | Robust Sparse K-Means | Yumi Kondo |
| rskey | 0.4.4 | Create Custom 'Rstudio' Keyboard Shortcuts | Berry Boessenkool |
| rsleep | 1.0.12 | Analysis of Sleep Data | Paul Bouchequet |
| rslp | 0.2.0 | A Stemming Algorithm for the Portuguese Language | Daniel Falbel |
| rslurm | 0.6.2 | Submit R Calculations to a 'Slurm' Cluster | Erick Verleye |
| rsm | 2.10.4 | Response-Surface Analysis | Russell Lenth |
| RSmallTelescopes | 1.0.4 | Empirical Small Telescopes Analysis | John Ruscio |
| RSmartlyIO | 0.1.3 | Loading Facebook and Instagram Advertising Data from
'Smartly.io' | Johannes Burkhardt |
| rsmatch | 0.2.1 | Matching Methods for Time-Varying Observational Studies | Sean Kent |
| rsmatrix | 0.2.8 | Matrices for Repeat-Sales Price Indexes | Steve Martin |
| Rsmlx | 2023.1.5 | R Speaks 'Monolix' | Frano Mihaljevic |
| rsnell | 0.1 | Snell Scoring | Paul F. Petrowski |
| RSNNS | 0.4-17 | Neural Networks using the Stuttgart Neural Network Simulator
(SNNS) | Christoph Bergmeir |
| RSocrata | 1.7.15-1 | Download or Upload 'Socrata' Data Sets | "Gene Leynes" |
| rsoi | 0.5.6 | Import Various Northern and Southern Hemisphere Climate Indices | Sam Albers |
| Rsolnp | 1.16 | General Non-Linear Optimization | Alexios Ghalanos |
| rsolr | 0.0.13 | R to Solr Interface | Michael Lawrence |
| Rsomoclu | 1.7.6 | Somoclu | Shichao Gao |
| RSP | 0.4 | 'shiny' Applications for Statistical and Psychometric Analysis | Eren Can Aybek |
| rspa | 0.2.8 | Adapt Numerical Records to Fit (in)Equality Restrictions | Mark van der Loo |
| rSPARCS | 0.1.1 | Sites, Population, and Records Cleaning Skills | Wangjian Zhang |
| rsparkling | 0.2.19 | R Interface for H2O Sparkling Water | Jakub Hava |
| rsparse | 0.5.1 | Statistical Learning on Sparse Matrices | Dmitriy Selivanov |
| Rspc | 1.2.2 | Nelson Rules for Control Charts | Stanislav Matousek (MSD) |
| rSPDE | 2.3.3 | Rational Approximations of Fractional Stochastic Partial
Differential Equations | David Bolin |
| RSpectra | 0.16-1 | Solvers for Large-Scale Eigenvalue and SVD Problems | Yixuan Qiu |
| rSpectral | 1.0.0.10 | Spectral Modularity Clustering | Anatoly Sorokin |
| RSpincalc | 1.0.2 | Conversion Between Attitude Representations of DCM, Euler
Angles, Quaternions, and Euler Vectors | Jose Gama |
| rspiro | 0.4 | Implementation of Spirometry Equations | Theodore Lytras |
| rspm | 0.5.0 | 'RStudio' Package Manager | Iñaki Ucar |
| Rspotify | 0.1.2 | Access to Spotify API | Tiago Mendes Dantas |
| rsppfp | 1.0.4 | R's Shortest Path Problem with Forbidden Subpaths | Melina Vidoni |
| rsprite2 | 0.2.1 | Identify Distributions that Match Reported Sample Parameters
(SPRITE) | Lukas Wallrich |
| rsq | 2.6 | R-Squared and Related Measures | Dabao Zhang |
| RSQL | 0.2.2 | Database Agnostic Package to Generate and Process 'SQL' Queries
in R | Alejandro Baranek |
| RSQLite | 2.3.6 | SQLite Interface for R | Kirill Müller |
| RSqlParser | 1.5 | Parse 'SQL' Statements | Subhasree Bose |
| RsqMed | 1.1 | Total Mediation Effect Size Measure for High-Dimensional
Mediators | Tianzhong Yang |
| rSRD | 0.1.7 | Sum of Ranking Differences Statistical Test | Jochen Staudacher |
| Rssa | 1.0.5 | A Collection of Methods for Singular Spectrum Analysis | Anton Korobeynikov |
| RSSampling | 1.0 | Ranked Set Sampling | Busra Sevinc |
| RsSimulx | 2023.1 | Extension of 'lixoftConnectors' for 'Simulx' | Frano Mihaljevic |
| RSSL | 0.9.7 | Implementations of Semi-Supervised Learning Approaches for
Classification | Jesse Krijthe |
| RSSOP | 1.1 | Simulation of Supply Reservoir Systems using Standard Operation
Policy | Rezgar Arabzadeh |
| RSStest | 1.0 | Testing the Equality of Two Means Using RSS and MRSS | Fikri Gökpınar |
| RSSthemes | 1.0.0 | RSS Palettes and Themes | Nicola Rennie |
| rstac | 1.0.0 | Client Library for SpatioTemporal Asset Catalog | Felipe Carvalho |
| rstack | 1.0.1 | Stack Data Type as an 'R6' Class | Gábor Csárdi |
| rstackdeque | 1.1.1 | Persistent Fast Amortized Stack and Queue Data Structures | Shawn T. O'Neil |
| rstan | 2.32.6 | R Interface to Stan | Ben Goodrich |
| rstanarm | 2.32.1 | Bayesian Applied Regression Modeling via Stan | Ben Goodrich |
| rstanbdp | 0.0.2 | Bayesian Deming Regression for Method Comparison | Giorgio Pioda |
| rstanemax | 0.1.5 | Emax Model Analysis with 'Stan' | Kenta Yoshida |
| rstantools | 2.4.0 | Tools for Developing R Packages Interfacing with 'Stan' | Jonah Gabry |
| RStata | 1.1.1 | A Bit of Glue Between R and Stata | Luca Braglia |
| rstatix | 0.7.2 | Pipe-Friendly Framework for Basic Statistical Tests | Alboukadel Kassambara |
| rstatscn | 1.1.3 | R Interface for China National Data | Xuehui YANG |
| Rstg | 0.0.1 | STG : Feature Selection using STochastic Gates | Yutaro Yamada |
| rstiefel | 1.0.1 | Random Orthonormal Matrix Generation and Optimization on the
Stiefel Manifold | Peter Hoff |
| RStoolbox | 0.4.0 | Remote Sensing Data Analysis | Konstantin Mueller |
| RStorm | 1.0 | Simulate and Develop Streaming Processing | Maurits Kaptein |
| rstpm2 | 1.6.3 | Smooth Survival Models, Including Generalized Survival Models | Mark Clements |
| rStrava | 1.3.1 | Access the 'Strava' API | Marcus W. Beck |
| rstream | 1.3.7 | Streams of Random Numbers | Josef Leydold |
| rstudio.prefs | 0.1.9 | Set 'RStudio' Preferences | Daniel D. Sjoberg |
| rstudioapi | 0.16.0 | Safely Access the RStudio API | Kevin Ushey |
| rsubgroup | 1.1 | Subgroup Discovery and Analytics | Martin Atzmueller |
| rsurface | 1.1.0 | Design of Rotatable Central Composite Experiments and Response
Surface Analysis | Timothy Schwinghamer |
| Rsurrogate | 3.2 | Robust Estimation of the Proportion of Treatment Effect
Explained by Surrogate Marker Information | Layla Parast |
| RSurveillance | 0.2.1 | Design and Analysis of Disease Surveillance Activities | Rohan Sadler |
| rsurveycto | 0.1.6 | Interact with Data on 'SurveyCTO' | Jake Hughey |
| rsvd | 1.0.5 | Randomized Singular Value Decomposition | N. Benjamin Erichson |
| rsvddpd | 1.0.0 | Robust Singular Value Decomposition using Density Power
Divergence | Subhrajyoty Roy |
| rsvg | 2.6.0 | Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or
Bitmap Arrays | Jeroen Ooms |
| rswipl | 9.3.3.1 | Embed 'SWI'-'Prolog' | Matthias Gondan |
| Rsymphony | 0.1-33 | SYMPHONY in R | Kurt Hornik |
| rsyncrosim | 1.5.0 | The R Interface to 'SyncroSim' | Katie Birchard |
| rsyntax | 0.1.4 | Extract Semantic Relations from Text by Querying and Reshaping
Syntax | Kasper Welbers |
| rsyslog | 1.0.3 | Interface to the 'syslog' System Logger | Aaron Jacobs |
| rt | 1.1.0 | Interface to the 'Request Tracker' API | Bryce Mecum |
| rt.test | 1.18.7.9 | Robustified t-Test | Chanseok Park |
| rt3 | 0.1.2 | Tic-Tac-Toe Package for R | Johan Jordaan |
| rTableICC | 1.0.9 | Random Generation of Contingency Tables | Haydar Demirhan |
| rtables | 0.6.6 | Reporting Tables | Joe Zhu |
| rtape | 2.2 | Manage and manipulate large collections of R objects stored as
tape-like files | Miron B. Kursa |
| Rtauchen | 1.0 | Discretization of AR(1) Processes | David Zarruk Valencia |
| RTaxometrics | 3.2.1 | Taxometric Analysis | John Ruscio |
| RTCC | 0.1.1 | Detecting Trait Clustering in Environmental Gradients | Mateu Menendez-Serra |
| rTCRBCRr | 0.1.1 | Repertoire Analysis of the Detected Clonotype | Lizhong Ding |
| RTD | 0.4.1 | Simple TD API Client | Aki Ariga |
| RTDE | 0.2-1 | Robust Tail Dependence Estimation | Christophe Dutang |
| rtdists | 0.11-5 | Response Time Distributions | Henrik Singmann |
| rtematres | 0.2 | The rtematres API package | Claas-Thido Pfaff |
| rtemps | 0.8.0 | R Templates for Reproducible Data Analyses | John Zobolas |
| rTensor | 1.4.8 | Tools for Tensor Analysis and Decomposition | Koki Tsuyuzaki |
| rTensor2 | 2.0.0 | MultiLinear Algebra | Kyle Caudle |
| rTephra | 0.1 | Tephra Transport Modeling | Jake Anderson |
| rtern | 0.1.2 | A Ternary Conditional Operator for R | Gethin Davies |
| RTextTools | 1.4.3 | Automatic Text Classification via Supervised Learning | Loren Collingwood |
| rtf | 0.4-14.1 | Rich Text Format (RTF) Output | Michael E. Schaffer |
| RTFA | 0.1.0 | Robust Factor Analysis for Tensor Time Series | Lingxiao Li |
| rTG | 1.0.2 | Methods to Analyse Seasonal Radial Tree Growth Data | Jernej Jevsenak |
| rtgstat | 0.3.2 | Client for 'TGStat API' | Alexey Seleznev |
| Rthingsboard | 0.2.7 | 'ThingsBoard' API | David Dorchies |
| rticles | 0.27 | Article Formats for R Markdown | Christophe Dervieux |
| rticulate | 1.7.3 | Ultrasound Tongue Imaging | Stefano Coretta |
| rtiddlywiki | 0.1.0 | R Interface for 'TiddlyWiki' | Bangyou Zheng |
| rtide | 0.0.9 | Tide Heights | Joe Thorley |
| rties | 5.0.0 | Modeling Interpersonal Dynamics | Emily Butler |
| RTIGER | 2.1.0 | HMM-Based Model for Genotyping and Cross-Over Identification | Rafael Campos-Martin |
| rtika | 2.7.0 | R Interface to 'Apache Tika' | Sasha Goodman |
| rtip | 1.1.1 | Inequality, Welfare and Poverty Indices and Curves using the
EU-SILC Data | Angel Berihuete |
| rtist | 1.0.0 | A Color Palette Generator | Tomas Okal |
| rtk | 0.2.6.1 | Rarefaction Tool Kit | Paul Saary |
| rtkore | 1.6.10 | 'STK++' Core Library Integration to 'R' using 'Rcpp' | Serge Iovleff |
| RTL | 1.3.5 | Risk Tool Library - Trading, Risk, 'Analytics' for Commodities | Philippe Cote |
| RTLknitr | 1.0.0 | Right to Left Dynamic Documents Using 'knitr' | Foad Esmaeili |
| rtlr | 0.1.0 | Print Right-to-Left Languages Correctly | Matan Hakim |
| rTLsDeep | 0.0.5 | Post-Hurricane Damage Severity Classification from TLS and AI | Caio Hamamura |
| RTMB | 1.4 | 'R' Bindings for 'TMB' | Kasper Kristensen |
| rtmpt | 2.0-1 | Fitting (Exponential/Diffusion) RT-MPT Models | Raphael Hartmann |
| rtms | 0.2.0 | R Toolkit for Mass Spectrometry | Nathaniel Twarog |
| Rtnmin | 2016-7.7 | Truncated Newton Function Minimization with Bounds Constraints | John C Nash |
| rtodoist | 0.1.0 | Create and Manage Todolist using 'Todoist.com' API | Cervan Girard |
| rtoot | 0.3.4 | Collecting and Analyzing Mastodon Data | David Schoch |
| rtop | 0.6-9 | Interpolation of Data with Variable Spatial Support | Jon Olav Skøien |
| rTorch | 0.4.2 | R Bindings to 'PyTorch' | Alfonso R. Reyes |
| rTPC | 1.0.4 | Fitting and Analysing Thermal Performance Curves | Daniel Padfield |
| rtpcr | 1.0.1 | qPCR Data Analysis | Ghader Mirzaghaderi |
| Rtrack | 2.0.3 | Spatial Navigation Strategy Analysis | Rupert Overall |
| RTransferEntropy | 0.2.21 | Measuring Information Flow Between Time Series with Shannon and
Renyi Transfer Entropy | David Zimmermann |
| rtrek | 0.4.0 | Data Analysis Relating to Star Trek | Matthew Leonawicz |
| rtrend | 0.1.5 | Trend Estimating Tools | Dongdong Kong |
| rtrends | 0.1.0 | Analyze Download Logs from the CRAN RStudio Mirror | Avi Blinder |
| RTriangle | 1.6-0.13 | Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator | David C. Sterratt |
| rtrim | 2.1.1 | Trends and Indices for Monitoring Data | Patrick Bogaart |
| rTRIPLEXCWFlux | 0.2.0 | Carbon-Water Coupled Model | Shulan Sun |
| rTRNG | 4.23.1-2 | Advanced and Parallel Random Number Generation via 'TRNG' | Riccardo Porreca |
| Rtropical | 1.2.1 | Data Analysis Tools over Space of Phylogenetic Trees Using
Tropical Geometry | Houjie Wang |
| rtry | 1.1.0 | Preprocessing Plant Trait Data | Olee Hoi Ying Lam |
| rts | 1.1-14 | Raster Time Series Analysis | Babak Naimi |
| rts2 | 0.7.4 | Real-Time Disease Surveillance | Sam Watson |
| RTSA | 0.2.2 | 'Trial Sequential Analysis' for Error Control and Inference in
Sequential Meta-Analyses | Anne Lyngholm Soerensen |
| rtsdata | 0.1.4 | R Time Series Intelligent Data Storage | Irina Kapler |
| Rtsne | 0.17 | T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut
Implementation | Jesse Krijthe |
| rtson | 1.3 | Typed JSON | Alexandre Maurel |
| rtsplot | 0.1.5 | Time Series Plot | Irina Kapler |
| Rttf2pt1 | 1.3.12 | 'ttf2pt1' Program | Winston Chang |
| RTTWebClient | 0.1.3 | Web Client to 'TickTrader' | Yury Maisiayonak |
| Rtumblr | 0.1.0 | Collecting and Analyzing 'Tumblr' Data | David Schoch |
| Rtwalk | 1.8.0 | The R Implementation of the 't-walk' MCMC Algorithm | J Andres Christen |
| rtweet | 2.0.0 | Collecting Twitter Data | Lluís Revilla Sancho |
| rTwig | 1.0.2 | Realistic Quantitative Structure Models | Aidan Morales |
| rtype | 0.1-1 | A strong type system for R | Kun Ren |
| rtypeform | 2.1.0 | Interface to 'typeform' Results | Colin Gillespie |
| rubias | 0.3.4 | Bayesian Inference from the Conditional Genetic Stock
Identification Model | Eric C. Anderson |
| rucm | 0.6 | Implementation of Unobserved Components Model (UCM) | Kaushik Roy Chowdhury |
| rucrdtw | 0.1.6 | R Bindings for the UCR Suite | Philipp Boersch-Supan |
| rugarch | 1.5-1 | Univariate GARCH Models | Alexios Galanos |
| ruijter | 0.1.2 | Technical Data Sets by 'Ruijter et al.' (2013) | Ramiro Magno |
| ruimtehol | 0.3.2 | Learn Text 'Embeddings' with 'Starspace' | Jan Wijffels |
| ruin | 0.1.1 | Simulation of Various Risk Processes | Iegor Rudnytskyi |
| ruler | 0.3.0 | Tidy Data Validation Reports | Evgeni Chasnovski |
| rules | 1.0.2 | Model Wrappers for Rule-Based Models | Emil Hvitfeldt |
| rUM | 1.0.2 | R Templates from the University of Miami | Raymond Balise |
| rumidas | 0.1.2 | Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and
MEM-MIDAS | Vincenzo Candila |
| ruminate | 0.2.2 | A Pharmacometrics Data Transformation and Analysis Tool | John Harrold |
| runcharter | 0.2.0 | Automatically Plot, Analyse and Revises Limits of Multiple Run
Charts | John MacKintosh |
| runes | 0.1.0 | Convert Strings to Elder Futhark Runes | Bryan Jenks |
| runexp | 0.2.1 | Softball Run Expectancy using Markov Chains and Simulation | Annie Sauer |
| RUnit | 0.4.33 | R Unit Test Framework | Roman Zenka |
| runjags | 2.2.2-4 | Interface Utilities, Model Templates, Parallel Computing Methods
and Additional Distributions for MCMC Models in JAGS | Matthew Denwood |
| runMCMCbtadjust | 1.0.5 | Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or
'greta' - While Adjusting Burn-in and Thinning Parameters | Frédéric Gosselin |
| runner | 0.4.4 | Running Operations for Vectors | Dawid Kałędkowski |
| runonce | 0.2.3 | Run Once and Save Result | Florian Privé |
| runstats | 1.1.0 | Fast Computation of Running Statistics for Time Series | Marta Karas |
| Runuran | 0.38 | R Interface to the 'UNU.RAN' Random Variate Generators | Josef Leydold |
| rusda | 1.0.8 | Interface to USDA Databases | Franz-Sebastian Krah |
| rusk | 0.1.1 | Beautiful Graphical Representation of Multiplication Tables on a
Modular Circle | Vincent Guyader |
| rusquant | 1.0.5 | Quantitative Trading Framework | Vyacheslav Arbuzov |
| rust | 1.4.2 | Ratio-of-Uniforms Simulation with Transformation | Paul J. Northrop |
| rutifier | 1.0.4 | Chilean Rol Unico Tributario | Mauricio Santelices |
| rutledge | 0.1.0 | Real-Time PCR Data Sets by Rutledge et al. (2004) | Ramiro Magno |
| ruv | 0.9.7.1 | Detect and Remove Unwanted Variation using Negative Controls | Johann Gagnon-Bartsch |
| rv | 2.3.5 | Simulation-Based Random Variable Objects | Jemma Stachelek |
| RVA | 0.0.5 | RNAseq Visualization Automation | Xingpeng Li |
| RVAideMemoire | 0.9-83-7 | Testing and Plotting Procedures for Biostatistics | Maxime HERVE |
| rvalues | 0.7.1 | R-Values for Ranking in High-Dimensional Settings | Nicholas Henderson |
| Rvcg | 0.22.2 | Manipulations of Triangular Meshes Based on the 'VCGLIB' API | Stefan Schlager |
| rvcheck | 0.2.1 | R/Package Version Check | Guangchuang Yu |
| RVCompare | 0.1.8 | Compare Real Valued Random Variables | Etor Arza |
| rvec | 0.0.6 | Vector Representing a Random Variable | John Bryant |
| Rveg | 0.1.4 | Digitization of Phytosociological Relevés | Přemysl Král |
| RVenn | 1.1.0 | Set Operations for Many Sets | Turgut Yigit Akyol |
| RVerbalExpressions | 0.1.1 | Create Regular Expressions Easily | Tyler Littlefield |
| rversions | 2.1.2 | Query 'R' Versions, Including 'r-release' and 'r-oldrel' | Gábor Csárdi |
| rvertnet | 0.8.4 | Search 'Vertnet', a 'Database' of Vertebrate Specimen Records | Dave Slager |
| rvest | 1.0.4 | Easily Harvest (Scrape) Web Pages | Hadley Wickham |
| rvg | 0.3.3 | R Graphics Devices for 'Office' Vector Graphics Output | David Gohel |
| rvHPDT | 4.0 | Calling Haplotype-Based and Variant-Based Pedigree
Disequilibrium Test for Rare Variants in Pedigrees | Wei Guo |
| RViennaCL | 1.7.1.8 | 'ViennaCL' C++ Header Files | Charles Determan Jr |
| rviewgraph | 1.4.2 | Animated Graph Layout Viewer | Alun Thomas |
| rvif | 1.0 | Collinearity Detection using Redefined Variance Inflation Factor
and Graphical Methods | R. Salmerón |
| rvinecopulib | 0.6.3.1.1 | High Performance Algorithms for Vine Copula Modeling | Thomas Nagler |
| RVIpkg | 0.3.2 | Regional Vulnerability Index | Si Gao |
| rvkstat | 3.2.0 | R Interface to API 'vk.com' | Alexey Seleznev |
| rvmethod | 0.1.2 | Radial Velocity Method for Detecting Exoplanets | Parker Holzer |
| rvMF | 0.1.0 | Fast Generation of von Mises-Fisher Distributed Pseudo-Random
Vectors | Seungwoo Kang |
| rwa | 0.0.3 | Perform a Relative Weights Analysis | Martin Chan |
| rwalkr | 0.5.7 | API to Melbourne Pedestrian Data | Earo Wang |
| rwarrior | 0.4.1 | R Warrior - An AI Programming Game | Rick M Tankard |
| Rwave | 2.6-5 | Time-Frequency Analysis of 1-D Signals | Jonathan M. Lees |
| rwavelet | 0.4.1 | Wavelet Analysis | Navarro Fabien |
| rwc | 1.11 | Random Walk Covariance Models | Ephraim M. Hanks |
| Rwclust | 0.1.0 | Random Walk Clustering on Weighted Graphs | Carson Sprock |
| rWCVP | 1.2.4 | Generating Summaries, Reports and Plots from the World Checklist
of Vascular Plants | Matilda Brown |
| RWDataPlyr | 0.6.4 | Read and Manipulate Data from 'RiverWare' | Alan Butler |
| RweaveExtra | 1.1-0 | Sweave Drivers with Extra Tricks Up their Sleeve | Vincent Goulet |
| rwebstat | 1.1.1 | Download Data from the Webstat API | Vincent Guegan |
| RWeka | 0.4-46 | R/Weka Interface | Kurt Hornik |
| RWekajars | 3.9.3-2 | R/Weka Interface Jars | Kurt Hornik |
| rwfec | 0.2 | R Wireless, Forward Error Correction | Alberto Gutierrez |
| RWgraph | 1.0.0 | Random Walks on Graphs Representing a Transactional Network | Mafalda Sá Ferreira |
| rwhatsapp | 0.2.4 | Import and Handling for 'WhatsApp' Chat Logs | Johannes Gruber |
| Rwhois | 1.0.16 | WHOIS Server Querying | Brad Cable |
| rwicc | 0.1.3 | Regression with Interval-Censored Covariates | Douglas Morrison |
| RWiener | 1.3-3 | Wiener Process Distribution Functions | Dominik Wabersich |
| RWildbook | 0.9.3 | Interface for the 'Wildbook' Wildlife Data Management Framework | Simon Bonner |
| rWind | 1.1.7 | Download, Edit and Include Wind and Sea Currents Data in
Ecological and Evolutionary Analysis | Javier Fernández-López |
| RWinEdt | 2.0-6 | R Interface to 'WinEdt' | Uwe Ligges |
| rWishart | 0.1.2 | Random Wishart Matrix Generation | Ben Barnard |
| rwisp | 1.0.5 | WISP Multiple Criteria Sorting Method | Bernardo Silva |
| RWmisc | 0.1.2 | Miscellaneous Spatial Functions | Rob Williams |
| Rwofost | 0.8-3 | WOFOST Crop Growth Simulation Model | Robert J. Hijmans |
| rworkflows | 1.0.1 | Test, Document, Containerise, and Deploy R Packages | Brian Schilder |
| rworldmap | 1.3-8 | Mapping Global Data | Andy South |
| rworldxtra | 1.01 | Country boundaries at high resolution. | Andy South |
| RWsearch | 5.1.4 | Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One
Download | Patrice Kiener |
| rwstats | 0.1 | Chinese Character Frequency in Real World | Yitao Ma |
| Rwtss | 0.9.2 | Client for Web Time-Series Service | Felipe Souza |
| rwty | 1.0.2 | R We There Yet? Visualizing MCMC Convergence in Phylogenetics | Dan Warren |
| rwunderground | 0.1.8 | R Interface to Weather Underground API | Eric Hare |
| RXKCD | 1.9.2 | Get XKCD Comic from R | Paolo Sonego |
| RxnSim | 1.0.4 | Functions to Compute Chemical and Chemical Reaction Similarity | Varun Giri |
| rxode2 | 2.1.2 | Facilities for Simulating from ODE-Based Models | Matthew L. Fidler |
| rxode2et | 2.0.12 | Event Table Functions for 'rxode2' | Matthew L. Fidler |
| rxode2ll | 2.0.11 | Log-Likelihood Functions for 'rxode2' | Matthew L. Fidler |
| rxode2parse | 2.0.18 | Parsing and Code Generation Functions for 'rxode2' | Matthew L. Fidler |
| rxode2random | 2.0.13 | Random Number Generation Functions for 'rxode2' | Matthew L. Fidler |
| rxSeq | 0.99.3 | Combined Total and Allele Specific Reads Sequencing Study | Vasyl Zhabotynsky |
| RXshrink | 2.3 | Maximum Likelihood Shrinkage using Generalized Ridge or Least
Angle Regression | Bob Obenchain |
| rxylib | 0.2.12 | Import XY-Data into R | Sebastian Kreutzer |
| Ryacas | 1.1.5 | R Interface to the 'Yacas' Computer Algebra System | Mikkel Meyer Andersen |
| Ryacas0 | 0.4.4 | Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System) | Mikkel Meyer Andersen |
| ryandexdirect | 3.6.2 | Load Data From 'Yandex Direct' | Alexey Seleznev |
| RYandexTranslate | 1.0 | R Interface to Yandex Translate API | Mukul Chaware |
| rym | 1.0.6 | R Interface to Yandex Metrica API | Alexey Seleznev |
| rYoutheria | 1.0.3 | Access to the YouTheria Mammal Trait Database | Tom August |
| rytstat | 0.3.0 | Work with 'YouTube API' | Alexey Seleznev |
| RZabbix | 0.1.0 | R Module for Working with the 'Zabbix API' | Marcin Kosinski |
| rzentra | 0.1.0 | Client for the 'ZENTRA Cloud' API | Eduard Szöcs |
| RZigZag | 0.2.1 | Zig-Zag Sampler | Joris Bierkens |
| rzmq | 0.9.12 | R Bindings for 'ZeroMQ' | Jeroen Ooms |
| RZooRoH | 0.3.2.1 | Partitioning of Individual Autozygosity into Multiple
Homozygous-by-Descent Classes | Tom Druet |
| s2 | 1.1.6 | Spherical Geometry Operators Using the S2 Geometry Library | Edzer Pebesma |
| s20x | 3.1-40 | Functions for University of Auckland Course STATS 201/208 Data
Analysis | James Curran |
| s2dv | 2.0.0 | A Set of Common Tools for Seasonal to Decadal Verification | An-Chi Ho |
| s2dverification | 2.10.3 | Set of Common Tools for Forecast Verification | An-Chi Ho |
| s2net | 1.0.7 | The Generalized Semi-Supervised Elastic-Net | Juan C. Laria |
| s3 | 1.0.0 | Download Files from 'AWS S3' | Cole Brokamp |
| s3.resourcer | 1.1.1 | S3 Resource Resolver | Yannick Marcon |
| s3fs | 0.1.5 | 'Amazon Web Service S3' File System | Dyfan Jones |
| s4vd | 1.1-1 | Biclustering via Sparse Singular Value Decomposition
Incorporating Stability Selection | Martin Sill |
| S7 | 0.1.1 | An Object Oriented System Meant to Become a Successor to S3 and
S4 | Hadley Wickham |
| saasCNV | 0.3.4 | Somatic Copy Number Alteration Analysis Using Sequencing and SNP
Array Data | Zhongyang Zhang |
| sabre | 0.4.3 | Spatial Association Between Regionalizations | Jakub Nowosad |
| sac | 1.0.2 | Semiparametric Analysis of Change-Point | Zhong Guan |
| saccadr | 0.1.3 | Extract Saccades via an Ensemble of Methods Approach | Alexander Pastukhov |
| SACCR | 3.2 | SA Counterparty Credit Risk under CRR2 | Tasos Grivas |
| sad | 0.1.3 | Verify the Scale, Anisotropy and Direction of Weather Forecasts | Sebastian Buschow |
| SADEG | 1.0.0 | Stability Analysis in Differentially Expressed Genes | Babak Khorsand |
| SADISA | 1.2 | Species Abundance Distributions with Independent-Species
Assumption | Rampal S. Etienne |
| sadists | 0.2.5 | Some Additional Distributions | Steven E. Pav |
| sads | 0.6.3 | Maximum Likelihood Models for Species Abundance Distributions | Paulo I. Prado |
| sae | 1.3 | Small Area Estimation | Yolanda Marhuenda |
| sae.prop | 0.1.2 | Small Area Estimation using Fay-Herriot Models with Additive
Logistic Transformation | M. Rijalus Sholihin |
| sae2 | 1.2-1 | Small Area Estimation: Time-Series Models | Robert Fay |
| saeBest | 0.1.0 | Selecting Auxiliary Variables in Small Area Estimation (SAE)
Model | Sheerin Dahwan Aziz |
| saebnocov | 0.1.0 | Small Area Estimation using Empirical Bayes without Auxiliary
Variable | Siti Rafika Fiandasari |
| saeczi | 0.1.2 | Small Area Estimation for Continuous Zero Inflated Data | Josh Yamamoto |
| saeeb | 0.1.0 | Small Area Estimation for Count Data | Rizki Ananda Fauziah |
| saeHB | 0.2.2 | Small Area Estimation using Hierarchical Bayesian Method | Zaza Yuda Perwira |
| saeHB.ME | 1.0.1 | Small Area Estimation with Measurement Error using Hierarchical
Bayesian Method | Muhammad Rifqi Mubarak |
| saeHB.ME.beta | 1.1.0 | SAE with Measurement Error using HB under Beta Distribution | Ratih Rodliyah |
| saeHB.panel | 0.1.1 | Small Area Estimation using Hierarchical Bayesian Method for Rao
Yu Model | Velia Tri Marliana <221810642 at stis.ac.id> |
| saeHB.panel.beta | 0.1.3 | Small Area Estimation using HB for Rao Yu Model under Beta
Distribution | Dian Rahmawati Salis |
| saeHB.unit | 0.1.0 | Basic Unit Level Model using Hierarchical Bayesian Approach | Ridson Al Farizal P |
| saeHB.ZIB | 0.1.1 | Small Area Estimation using Hierarchical Bayesian under Zero
Inflated Binomial Distribution | Rizqina Rahmati <221810583 at stis.ac.id> |
| saekernel | 0.1.1 | Small Area Estimation Non-Parametric Based Nadaraya-Watson
Kernel | Wicak Surya Hasani <221710052 at stis.ac.id> |
| saeME | 1.3.1 | Small Area Estimation with Measurement Error | Muhammad Rifqi Mubarak |
| saemix | 3.3 | Stochastic Approximation Expectation Maximization (SAEM)
Algorithm | Emmanuelle Comets |
| saeMSPE | 1.2 | Compute MSPE Estimates for the Fay Herriot Model and Nested
Error Regression Model | Peiwen Xiao <2569613200 at qq.com> |
| saens | 0.1.0 | Small Area Estimation with Cluster Information for Estimation of
Non-Sampled Areas | Ridson Al Farizal P |
| saeRobust | 0.5.0 | Robust Small Area Estimation | Sebastian Warnholz |
| saeSim | 0.11.0 | Simulation Tools for Small Area Estimation | Sebastian Warnholz |
| saeTrafo | 1.0.2 | Transformations for Unit-Level Small Area Models | Nora Würz |
| SAEval | 1.0.0 | Small Area Estimation Evaluation | Andrea Fasulo |
| SAFARI | 0.1.0 | Shape Analysis for AI-Reconstructed Images | Esteban Fernandez Morales |
| SAFD | 2.1 | Statistical Analysis of Fuzzy Data | Asun Lubiano
|
| safedata | 1.1.3 | Interface to Data from the SAFE Project | David Orme |
| safejoin | 0.1.0 | Perform "Safe" Table Joins | Sam Edwardes |
| safer | 0.2.1 | Encrypt and Decrypt Strings, R Objects and Files | KS Srikanth |
| safestats | 0.8.7 | Safe Anytime-Valid Inference | Alexander Ly |
| safetensors | 0.1.2 | Safetensors File Format | Daniel Falbel |
| safetyCharts | 0.3.0 | Charts for Monitoring Clinical Trial Safety | Jeremy Wildfire |
| safetyData | 1.0.0 | Clinical Trial Data | Jeremy Wildfire |
| safetyGraphics | 2.1.1 | Interactive Graphics for Monitoring Clinical Trial Safety | Jeremy Wildfire |
| SafeVote | 1.0.0 | Election Vote Counting with Safety Features | Clark Thomborson |
| sageR | 0.6.1 | Applied Statistics for Economics and Management with R | Frederic Bertrand |
| SAGM | 1.0.0 | Spatial Autoregressive Graphical Model | Sjoerd Hermes |
| SAGMM | 0.2.4 | Clustering via Stochastic Approximation and Gaussian Mixture
Models | Andrew T. Jones |
| sahpm | 1.0.1 | Variable Selection using Simulated Annealing | Arnab Maity |
| sAIC | 1.0.1 | Akaike Information Criterion for Sparse Estimation | Shuichi Kawano |
| SailoR | 1.2 | An Extension of the Taylor Diagram to Two-Dimensional Vector
Data | Santos J. González-Rojí |
| SAiVE | 1.0.4 | Functions Used for SAiVE Group Research, Collaborations, and
Publications | Ghislain de Laplante |
| SALES | 1.0.2 | The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric
Least Squares (SALES) and Coupled Sparse Asymmetric Least
Squares (COSALES) using Coordinate Descent and Proximal
Gradient Algorithms | Yuwen Gu |
| salesforcer | 1.0.1 | An Implementation of 'Salesforce' APIs Using Tidy Principles | Steven M. Mortimer |
| salso | 0.3.35 | Search Algorithms and Loss Functions for Bayesian Clustering | David B. Dahl |
| SALTSampler | 1.1.0 | Efficient Sampling on the Simplex | Scott Vander Wiel |
| salty | 0.1.0 | Turn Clean Data into Messy Data | Matthew Lincoln |
| SAM | 1.1.3 | Sparse Additive Modelling | Haoming Jiang |
| samadb | 0.2.6 | South Africa Macroeconomic Database API | Sebastian Krantz |
| SAMBA | 0.9.0 | Selection and Misclassification Bias Adjustment for Logistic
Regression Models | Alexander Rix |
| sambia | 0.1.0 | A Collection of Techniques Correcting for Sample Selection Bias | Norbert Krautenbacher |
| samc | 3.2.1 | Spatial Absorbing Markov Chains | Andrew Marx |
| SAME | 0.1.0 | Seamless Adaptive Multi-Arm Multi-Stage Enrichment | Chengxue Zhong |
| SAMGEP | 0.1.0-1 | A Semi-Supervised Method for Prediction of Phenotype Event Times | Yuri Ahuja |
| SAMM | 1.1.1 | Some Algorithms for Mixed Models | Deniz Akdemir |
| samon | 4.0.2 | Sensitivity Analysis for Missing Data | Aidan McDermott |
| sampbias | 2.0.0 | Evaluating Geographic Sampling Bias in Biological Collections | Alexander Zizka |
| sampler | 0.2.4 | Sample Design, Drawing & Data Analysis Using Data Frames | Michael Baldassaro |
| sampleSelection | 1.2-12 | Sample Selection Models | Arne Henningsen |
| samplesize | 0.2-4 | Sample Size Calculation for Various t-Tests and Wilcoxon-Test | Ralph Scherer |
| SampleSize4ClinicalTrials | 0.2.3 | Sample Size Calculation for the Comparison of Means or
Proportions in Phase III Clinical Trials | Hongchao Qi |
| samplesize4surveys | 4.1.1 | Sample Size Calculations for Complex Surveys | Hugo Andres Gutierrez Rojas |
| samplesizeCMH | 0.0.3 | Power and Sample Size Calculation for the
Cochran-Mantel-Haenszel Test | Paul Egeler |
| samplesizeestimator | 1.0.0 | Calculate Sample Size for Various Scenarios | R Amala |
| samplesizelogisticcasecontrol | 2.0.2 | Sample Size and Power Calculations for Case-Control Studies | William Wheeler |
| SampleSizeMeans | 1.2.3 | Sample Size Calculations for Normal Means | Patrick Bélisle |
| SampleSizeProportions | 1.1.3 | Calculating Sample Size Requirements when Estimating the
Difference Between Two Binomial Proportions | Patrick Bélisle |
| sampleVADIR | 1.0.0 | Draw Stratified Samples from the VADIR Database | Trevor Swanson |
| sampling | 2.10 | Survey Sampling | Alina Matei |
| SamplingBigData | 1.0.0 | Sampling Methods for Big Data | Jonathan Lisic |
| samplingbook | 1.2.4 | Survey Sampling Procedures | Juliane Manitz |
| samplingDataCRT | 1.0 | Sampling Data Within Different Study Designs for Cluster
Randomized Trials | Diana Trutschel |
| samplingin | 1.0.7 | Dynamic Survey Sampling Solutions | Choerul Afifanto |
| samplingR | 1.0.1 | Sampling and Estimation Methods | Javier Estévez |
| SamplingStrata | 1.5-4 | Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys | Giulio Barcaroli |
| samplingVarEst | 1.5 | Sampling Variance Estimation | Emilio Lopez Escobar |
| SAMprior | 1.1.1 | Self-Adapting Mixture (SAM) Priors | Peng Yang |
| sampsizeval | 1.0.0.0 | Sample Size for Validation of Risk Models with Binary Outcomes | Menelaos Pavlou |
| samr | 3.0 | SAM: Significance Analysis of Microarrays | Rob Tibshirani |
| sams | 0.4.3 | Merge-Split Samplers for Conjugate Bayesian Nonparametric Models | David B. Dahl |
| SAMtool | 1.6.4 | Stock Assessment Methods Toolkit | Quang Huynh |
| SAMTx | 0.3.0 | Sensitivity Assessment to Unmeasured Confounding with Multiple
Treatments | Jiayi Ji |
| SAMUR | 1.1 | Stochastic Augmentation of Matched Data Using Restriction
Methods | Alireza S. Mahani |
| samurais | 0.1.0 | Statistical Models for the Unsupervised Segmentation of
Time-Series ('SaMUraiS') | Florian Lecocq |
| sand | 2.0.0 | Statistical Analysis of Network Data with R, 2nd Edition | Eric Kolaczyk |
| sandbox | 0.2.1 | Probabilistic Numerical Modelling of Sediment Properties | Michael Dietze |
| sandwich | 3.1-0 | Robust Covariance Matrix Estimators | Achim Zeileis |
| SanFranBeachWater | 0.1.0 | Downloads and Tidies the San Francisco Public Utilities
Commission Beach Water Quality Monitoring Program Data | Robert Myles McDonnell |
| SangerTools | 1.0.2 | Tools for Population Health Management Analytics | Asif Laldin |
| sanic | 0.0.2 | Solving Ax = b Nimbly in C++ | Nikolas Kuschnig |
| sanitizers | 0.1.1 | C/C++ Source Code to Trigger Address and Undefined Behaviour
Sanitizers | Dirk Eddelbuettel |
| sanityTracker | 0.1.0 | Keeps Track of all Performed Sanity Checks | Marsel Scheer |
| sanketphonetictranslator | 0.1.0 | Phonetic Transliteration Between Hindi and English | Sanket Gharat |
| sankey | 1.0.2 | Illustrate the Flow of Information or Material | Gábor Csárdi |
| sankeywheel | 0.1.0 | Create Dependency Wheels and Sankey Diagrams | Zhenxing Cheng |
| sanon | 1.6 | Stratified Analysis with Nonparametric Covariable Adjustment | Atsushi Kawaguchi |
| SANple | 0.1.0 | Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo | Laura D'Angelo |
| sansa | 0.0.1 | Synthetic Data Generation for Imbalanced Learning in 'R' | Murtaza Nasir |
| santaR | 1.2.4 | Short Asynchronous Time-Series Analysis | Arnaud Wolfer |
| santoku | 0.10.0 | A Versatile Cutting Tool | David Hugh-Jones |
| SANvi | 0.1.0 | Fitting Shared Atoms Nested Models via Variational Bayes | Francesco Denti |
| sanzo | 0.1.0 | Color Palettes Based on the Works of Sanzo Wada | Jacqueline Maasch |
| saotd | 0.3.1 | Sentiment Analysis of Twitter Data | Evan Munson |
| SAP | 1.0 | Statistical Analysis and Programming | Hasan Bulut |
| sapevom | 0.2.0 | Group Ordinal Method for Multiple Criteria Decision-Making | Raquel Coutinho |
| sapfluxnetr | 0.1.4 | Working with 'Sapfluxnet' Project Data | Victor Granda |
| SAPP | 1.0.9-1 | Statistical Analysis of Point Processes | Masami Saga |
| saqgetr | 0.2.21 | Import Air Quality Monitoring Data in a Fast and Easy Way | Stuart K. Grange |
| SAR | 1.0.3 | Smart Adaptive Recommendations | Hong Ooi |
| sara4r | 0.1.0 | An R-GUI for Spatial Analysis of Surface Runoff using the
NRCS-CN Method | Rafael Hernandez-Guzman |
| sarima | 0.9.3 | Simulation and Prediction with Seasonal ARIMA Models | Georgi N. Boshnakov |
| saros | 1.0.4 | Semi-Automatic Reporting of Ordinary Surveys | Stephan Daus |
| SARP.compo | 0.1.8 | Network-Based Interpretation of Changes in Compositional Data | Emmanuel Curis |
| SARP.moodle | 1.0.4 | XML Output Functions for Easy Creation of Moodle Questions | Emmanuel Curis |
| sarp.snowprofile | 1.3.2 | Snow Profile Analysis for Snowpack and Avalanche Research | Pascal Haegeli |
| sarp.snowprofile.alignment | 1.2.2 | Snow Profile Alignment, Aggregation, and Clustering | Florian Herla |
| sarp.snowprofile.pyface | 0.1.3 | 'python' Modules from Snowpack and Avalanche Research | Florian Herla |
| sars | 1.3.6 | Fit and Compare Species-Area Relationship Models Using
Multimodel Inference | Thomas J. Matthews |
| sarsop | 0.6.14 | Approximate POMDP Planning Software | Carl Boettiger |
| sas7bdat | 0.7 | sas7bdat Reverse Engineering Documentation | Matt Shotwell |
| SAScii | 1.0.2 | Import ASCII Files Directly into R using Only a 'SAS' Input
Script | Anthony Joseph Damico |
| SASdates | 0.1.0 | Convert the Dates to 'SAS' Formats | Mahesh Divakaran |
| sasfunclust | 1.0.0 | Sparse and Smooth Functional Clustering | Fabio Centofanti |
| sasLM | 0.10.2 | 'SAS' Linear Model | Kyun-Seop Bae |
| SASmarkdown | 0.8.2 | 'SAS' Markdown | Doug Hemken |
| SASmixed | 1.0-4 | Data sets from "SAS System for Mixed Models" | Steven Walker |
| sasr | 0.1.2 | 'SAS' Interface | Liming Li |
| sass | 0.4.9 | Syntactically Awesome Style Sheets ('Sass') | Carson Sievert |
| sassy | 1.2.3 | Makes 'R' Easier for Everyone | David Bosak |
| satdad | 1.1 | Sensitivity Analysis Tools for Dependence and Asymptotic
Dependence | Cécile Mercadier |
| sate | 2.1.0 | Scientific Analysis of Trial Errors (SATE) | Barry Edwards |
| satellite | 1.0.5 | Handling and Manipulating Remote Sensing Data | Florian Detsch |
| satin | 1.1.0 | Visualisation and Analysis of Ocean Data Derived from Satellites | Héctor Villalobos |
| satres | 1.1.1 | Grouping Satellite Bands by Spectral and Spatial Resolution | Jose Samos |
| saturnin | 1.1.1 | Spanning Trees Used for Network Inference | Loïc Schwaller |
| SAutomata | 0.1.0 | Inference and Learning in Stochastic Automata | Muhammad Kashif Hanif |
| SAVER | 1.1.2 | Single-Cell RNA-Seq Gene Expression Recovery | Mo Huang |
| savonliquide | 0.2.0 | Accessibility Toolbox for 'R' Users | Mohamed El Fodil Ihaddaden |
| savvyr | 0.1.0 | Survival Analysis for AdVerse Events with VarYing Follow-Up
Times | Thomas Kuenzel |
| sawnuti | 0.1.1 | Comparing Sequences with Non-Uniform Time Intervals | Alexander Murph |
| saws | 0.9-7.0 | Small-Sample Adjustments for Wald Tests Using Sandwich
Estimators | Michael P. Fay |
| sazedR | 2.0.2 | Parameter-Free Domain-Agnostic Season Length Detection in Time
Series | Tiago Santos |
| SBAGM | 0.1.0 | Search Best ARIMA, GARCH, and MS-GARCH Model | Rajeev Ranjan Kumar |
| SBCK | 1.0.0 | Statistical Bias Correction Kit | Yoann Robin |
| sbde | 1.0-1 | Semiparametric Bayesian Density Estimation | Surya Tokdar |
| SBdecomp | 1.2 | Estimation of the Proportion of SB Explained by Confounders | Layla Parast |
| sbfc | 1.0.3 | Selective Bayesian Forest Classifier | Viktoriya Krakovna |
| sbgcop | 0.980 | Semiparametric Bayesian Gaussian Copula Estimation and
Imputation | Peter Hoff |
| sBIC | 0.2.0 | Computing the Singular BIC for Multiple Models | Luca Weihs |
| SBICgraph | 1.0.0 | Structural Bayesian Information Criterion for Graphical Models | Quang Nguyen |
| sbl | 0.1.0 | Sparse Bayesian Learning for QTL Mapping and Genome-Wide
Association Studies | Meiyue Wang |
| sbm | 0.4.6 | Stochastic Blockmodels | Julien Chiquet |
| SBmedian | 0.1.1 | Scalable Bayes with Median of Subset Posteriors | Kisung You |
| sbmSDP | 0.2 | Semidefinite Programming for Fitting Block Models of Equal Block
Sizes | Arash A. Amini |
| SBMSplitMerge | 1.1.1 | Inference for a Generalised SBM with a Split Merge Sampler | Matthew Ludkin |
| SBN | 1.0.0 | Generate Stochastic Branching Networks | Finnbar Lee |
| sbo | 0.5.0 | Text Prediction via Stupid Back-Off N-Gram Models | Valerio Gherardi |
| sboost | 0.1.2 | Machine Learning with AdaBoost on Decision Stumps | Jadon Wagstaff |
| sbrl | 1.4 | Scalable Bayesian Rule Lists Model | Hongyu Yang |
| SBSDiff | 0.1.0 | Satorra-Bentler Scaled Chi-Squared Difference Test | Frank D. Mann |
| sbtools | 1.3.2 | USGS ScienceBase Tools | David Blodgett |
| sbw | 1.1.5 | Stable Balancing Weights for Causal Inference and Missing Data | Jose R. Zubizarreta |
| SC.MEB | 1.1 | Spatial Clustering with Hidden Markov Random Field using
Empirical Bayes | Yi Yang |
| SC2API | 1.0.0 | Blizzard SC2 API Wrapper | Samuel Morrissette |
| sc2sc | 0.0.1-12 | Spatial Transfer of Statistics among Spanish Census Sections | Jose M. Pavía |
| sca | 0.9-2 | Simple Component Analysis | Martin Maechler |
| scaffolder | 0.0.1 | Scaffolding Interfaces to Packages in Other Programming
Languages | Yuan Tang |
| scagnostics | 0.2-6 | Compute scagnostics - scatterplot diagnostics | Simon Urbanek |
| scaleAlign | 1.0.0.0 | Scale Alignment for Between-Items Multidimensional Rasch Family
Models | Leah Feuerstahler |
| scaleboot | 1.0-1 | Approximately Unbiased P-Values via Multiscale Bootstrap | Hidetoshi Shimodaira |
| Scalelink | 1.0 | Create Scale Linkage Scores | Chris Charlton |
| scales | 1.3.0 | Scale Functions for Visualization | Thomas Lin Pedersen |
| ScaleSpikeSlab | 1.0 | Scalable Spike-and-Slab | Niloy Biswas |
| scalpel | 1.0.3 | Processes Calcium Imaging Data | Ashley Petersen |
| scalreg | 1.0.1 | Scaled Sparse Linear Regression | Tingni Sun |
| scam | 1.2-16 | Shape Constrained Additive Models | Natalya Pya |
| scan | 0.60.0 | Single-Case Data Analyses for Single and Multiple Baseline
Designs | Juergen Wilbert |
| scAnnotate | 0.3 | An Automated Cell Type Annotation Tool for Single-Cell
RNA-Sequencing Data | Xuekui Zhang |
| scanstatistics | 1.1.1 | Space-Time Anomaly Detection using Scan Statistics | Paul Romer Present |
| scape | 2.3.3 | Statistical Catch-at-Age Plotting Environment | Arni Magnusson |
| scaper | 0.1.0 | Single Cell Transcriptomics-Level Cytokine Activity Prediction
and Estimation | Azka Javaid |
| scapesClassification | 1.0.0 | User-Defined Classification of Raster Surfaces | Gerald H. Taranto |
| scapGNN | 0.1.4 | Graph Neural Network-Based Framework for Single Cell Active
Pathways and Gene Modules Analysis | Xudong Han |
| scar | 0.2-2 | Shape-Constrained Additive Regression: a Maximum Likelihood
Approach | Yining Chen |
| scaRabee | 1.1-4 | Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models | Sebastien Bihorel |
| scatr | 1.0.1 | Create Scatter Plots with Marginal Density or Box Plots | Ravi Selker |
| scatterD3 | 1.0.1 | D3 JavaScript Scatterplot from R | Julien Barnier |
| ScatterDensity | 0.0.4 | Density Estimation and Visualization of 2D Scatter Plots | Michael Thrun |
| scattermore | 1.2 | Scatterplots with More Points | Mirek Kratochvil |
| scatterpie | 0.2.2 | Scatter Pie Plot | Guangchuang Yu |
| scatterplot3d | 0.3-44 | 3D Scatter Plot | Uwe Ligges |
| scatterPlotMatrix | 0.2.0 | 'Htmlwidget' for a Scatter Plot Matrix | David Chazalviel |
| SCBiclust | 1.0.1 | Identifies Mean, Variance, and Hierarchically Clustered
Biclusters | Erika S. Helgeson |
| scBio | 0.1.6 | Single Cell Genomics for Enhancing Cell Composition Inference
from Bulk Genomics Data | Amit Frishberg |
| SCBmeanfd | 1.2.2 | Simultaneous Confidence Bands for the Mean of Functional Data | David Degras |
| scBSP | 0.0.1 | A Fast Tool for Single-Cell Spatially Variable Genes
Identifications on Large-Scale Data | Jinpu Li |
| scbursts | 1.6 | Single Channel Bursts Analysis | Blair Drummond |
| scCATCH | 3.2.2 | Single Cell Cluster-Based Annotation Toolkit for Cellular
Heterogeneity | Xin Shao |
| sccca | 0.1.1 | Single-Cell Correlation Based Cell Type Annotation | Mohamed Soudy |
| SCCI | 1.2 | Stochastic Complexity-Based Conditional Independence Test for
Discrete Data | Alexander Marx |
| scclust | 0.2.4 | Size-Constrained Clustering | Fredrik Savje |
| sccore | 1.0.5 | Core Utilities for Single-Cell RNA-Seq | Evan Biederstedt |
| sccr | 2.1 | The Self-Consistent, Competing Risks (SC-CR) Algorithms | Alicja Wolny-Dominiak |
| SCCS | 1.7 | The Self-Controlled Case Series Method | "Yonas Ghebremichael Weldeselassie" |
| scCustomize | 2.1.2 | Custom Visualizations & Functions for Streamlined Analyses of
Single Cell Sequencing | Samuel Marsh |
| SCDB | 0.4.0 | Easily Access and Maintain Time-Based Versioned Data
(Slowly-Changing-Dimension) | Rasmus Skytte Randløv |
| SCdeconR | 1.0.0 | Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq
Data as Reference | Yuanhang Liu |
| scdensity | 1.0.2 | Shape-Constrained Kernel Density Estimation | Mark A. Wolters |
| scDHA | 1.2.2 | Single-Cell Decomposition using Hierarchical Autoencoder | Ha Nguyen |
| scdhlm | 0.7.3 | Estimating Hierarchical Linear Models for Single-Case Designs | James Pustejovsky |
| scDiffCom | 1.0.0 | Differential Analysis of Intercellular Communication from
scRNA-Seq Data | Cyril Lagger |
| scDIFtest | 0.1.1 | Item-Wise Score-Based DIF Detection | Dries Debeer |
| scellpam | 1.4.5 | Applying Partitioning Around Medoids to Single Cell Data with
High Number of Cells | Juan Domingo |
| SCEM | 1.1.0 | Splitting-Coalescence-Estimation Method | Kyung Serk Cho |
| scenes | 0.1.0 | Switch Between Alternative 'shiny' UIs | Jon Harmon |
| SCEnt | 0.0.1 | Single Cell Entropy Analysis of Gene Heterogeneity in Cell
Populations | Hugh Warden |
| SCEPtER | 0.2-4 | Stellar CharactEristics Pisa Estimation gRid | Matteo Dell'Omodarme |
| SCEPtERbinary | 0.1-1 | Stellar CharactEristics Pisa Estimation gRid for Binary Systems | Matteo Dell'Omodarme |
| scfetch | 0.5.0 | Access and Format Single-Cell RNA-Seq Datasets from Public
Resources | Yabing Song |
| scGate | 1.6.0 | Marker-Based Cell Type Purification for Single-Cell Sequencing
Data | Massimo Andreatta |
| SCGLR | 3.0 | Supervised Component Generalized Linear Regression | Guillaume Cornu |
| scGOclust | 0.2.1 | Measuring Cell Type Similarity with Gene Ontology in Single-Cell
RNA-Seq | Yuyao Song |
| scgwr | 0.1.2-21 | Scalable Geographically Weighted Regression | Daisuke Murakami |
| schemr | 0.2.0 | Convert Images to Usable Color Schemes | Stuart Morrison |
| schoenberg | 2.0.3 | Tools for 12-Tone Musical Composition | Jeffrey A. Dahlke |
| scholar | 0.2.4 | Analyse Citation Data from Google Scholar | Guangchuang Yu |
| SchoolDataIT | 0.1.1 | Retrieve, Harmonise and Map Open Data Regarding the Italian
School System | Leonardo Cefalo |
| schoolmath | 0.4.2 | Functions and Datasets for Math Used in School | Jörg große Schlarmann |
| schoRsch | 1.10 | Tools for Analyzing Factorial Experiments | Roland Pfister |
| schrute | 1.0.1 | The Entire Transcript from the Office in Tidy Format | Brad Lindblad |
| schtools | 0.4.1 | Schloss Lab Tools for Reproducible Microbiome Research | Kelly Sovacool |
| schumaker | 1.2.1 | Schumaker Shape-Preserving Spline | Stuart Baumann |
| SCI | 1.0-2 | Standardized Climate Indices Such as SPI, SRI or SPEI | Lukas Gudmundsson |
| SCIBER | 0.2.2 | Single-Cell Integrator and Batch Effect Remover | Dailin Gan |
| scico | 1.5.0 | Colour Palettes Based on the Scientific Colour-Maps | Thomas Lin Pedersen |
| scicomptools | 1.0.0 | Tools Developed by the NCEAS Scientific Computing Support Team | Angel Chen |
| scidesignR | 1.0.0 | Data Sets from Design and Analysis of Experiments and
Observational Studies using R | Nathan Taback |
| scientific | 2024.1 | Elegant Scientific Themed Reporting for 'Markdown' | Obinna Obianom |
| scientoText | 0.1 | Text & Scientometric Analytics | Ashraf Uddin |
| scifigure | 0.2 | Visualize 'Reproducibility' and 'Replicability' in a Comparison
of Scientific Studies | Prasad Patil |
| scimo | 0.0.1 | Extra Recipes Steps for Dealing with Omics Data | Antoine BICHAT |
| SCINA | 1.2.0 | A Semi-Supervised Category Identification and Assignment Tool | Ze Zhang |
| scINSIGHT | 0.1.4 | Interpretation of Heterogeneous Single-Cell Gene Expression Data | Kun Qian |
| sciplot | 1.2-0 | Scientific Graphing Functions for Factorial Designs | Manuel Morales |
| scipub | 1.2.3 | Summarize Data for Scientific Publication | David Pagliaccio |
| sciRmdTheme | 0.1 | Upgraded 'Rmarkdown' Themes for Scientific Writing | Obinna Obianom |
| scISR | 0.1.1 | Single-Cell Imputation using Subspace Regression | Duc Tran |
| scistreer | 1.2.0 | Maximum-Likelihood Perfect Phylogeny Inference at Scale | Teng Gao |
| scitb | 0.1.7 | Provides Some Useful Functions for Making Statistical Tables | Qiang Liu |
| scITD | 1.0.4 | Single-Cell Interpretable Tensor Decomposition | Jonathan Mitchel |
| SciViews | 0.9-13.1 | SciViews - Main package | Philippe Grosjean |
| scLink | 1.0.1 | Inferring Functional Gene Co-Expression Networks from Single
Cell Data | Wei Vivian Li |
| sclr | 0.3.1 | Scaled Logistic Regression | Arseniy Khvorov |
| sClust | 1.0 | R Toolbox for Unsupervised Spectral Clustering | Emilie Poisson-Caillault |
| SCMA | 1.3.1 | Single-Case Meta-Analysis | Tamal Kumar De |
| scMappR | 1.0.11 | Single Cell Mapper | Dustin Sokolowski |
| scModels | 1.0.4 | Fitting Discrete Distribution Models to Count Data | Lisa Amrhein |
| scOntoMatch | 0.1.1 | Aligning Ontology Annotation Across Single Cell Datasets with
'scOntoMatch' | Yuyao Song |
| scoper | 1.3.0 | Spectral Clustering-Based Method for Identifying B Cell Clones | Susanna Marquez |
| SCOPRO | 0.1.0 | Score Projection Between in 'Vivo' and in 'Vitro' Datasets | Gabriele Lubatti |
| SCOR | 1.1.2 | Spherically Constrained Optimization Routine | Debsurya De |
| score | 1.0.2 | A Package to Score Behavioral Questionnaires | Jaejoon Song |
| scorecard | 0.4.3 | Credit Risk Scorecard | Shichen Xie |
| scorecardModelUtils | 0.0.1.0 | Credit Scorecard Modelling Utils | Arya Poddar |
| ScoreEB | 0.1.1 | Score Test Integrated with Empirical Bayes for Association Study | Wenlong Ren |
| scorepeak | 0.1.2 | Peak Functions for Peak Detection in Univariate Time Series | Shota Ochi |
| ScorePlus | 0.1 | Implementation of SCORE, SCORE+ and Mixed-SCORE | Shengming Luo |
| scoring | 0.6 | Proper Scoring Rules | Ed Merkle |
| scoringfunctions | 0.0.6 | A Collection of Scoring Functions for Assessing Point Forecasts | Hristos Tyralis |
| scoringRules | 1.1.1 | Scoring Rules for Parametric and Simulated Distribution
Forecasts | Fabian Krueger |
| scoringutils | 1.2.2 | Utilities for Scoring and Assessing Predictions | Nikos Bosse |
| SCORNET | 0.1.1 | Semi-Supervised Calibration of Risk with Noisy Event Times | Yuri Ahuja |
| SCORPION | 1.0.1 | Single Cell Oriented Reconstruction of PANDA Individual
Optimized Networks | Daniel Osorio |
| SCORPIUS | 1.0.9 | Inferring Developmental Chronologies from Single-Cell RNA
Sequencing Data | Robrecht Cannoodt |
| ScottKnott | 1.3-2 | The ScottKnott Clustering Algorithm | Ivan Bezerra Allaman |
| ScottKnottESD | 2.0.3 | The Scott-Knott Effect Size Difference (ESD) Test | Chakkrit Tantithamthavorn |
| scout | 1.0.4 | Implements the Scout Method for Covariance-Regularized
Regression | Daniela M. Witten |
| SCOUTer | 1.0.0 | Simulate Controlled Outliers | Alba Gonzalez Cebrian |
| SCperf | 1.1.1 | Functions for Planning and Managing Inventories in a Supply
Chain | Marlene Marchena |
| scperturbR | 0.1.0 | E-Statistics for Seurat Objects | Stefan Peidli |
| scpi | 2.2.5 | Prediction Intervals for Synthetic Control Methods with Multiple
Treated Units and Staggered Adoption | Filippo Palomba |
| scPloidy | 0.3.0 | Infer Ploidy of Single Cells | Fumihiko Takeuchi |
| scplot | 0.3.3 | Plot Function for Single-Case Data Frames | Juergen Wilbert |
| scpoisson | 0.0.1 | Single Cell Poisson Probability Paradigm | Yue Pan |
| SCpubr | 2.0.2 | Generate Publication Ready Visualizations of Single Cell
Transcriptomics Data | Enrique Blanco-Carmona |
| scqe | 1.0.0 | Stability Controlled Quasi-Experimentation | Kirsten Landsiedel |
| scquantum | 1.0.0 | Estimate Ploidy and Absolute Copy Number from Single Cell
Sequencing | Alexander Davis |
| scraEP | 1.2 | Scrape the Web with Extra Power | Julien Boelaert |
| scrapeR | 0.1.8 | These Functions Fetch and Extract Text Content from Specified
Web Pages | Mathieu Dubeau |
| scrappy | 0.0.1 | A Simple Web Scraper | Roberto Villegas-Diaz |
| ScreenClean | 1.0.1 | Screen and clean variable selection procedures | Qi Zhang |
| ScreeNOT | 0.1.0 | 'ScreeNOT': MSE-Optimal Singular Value Thresholding in
Correlated Noise | Elad Romanov |
| screenshot | 0.9.0 | Take Screenshots (Screen Capture) from R Command | Toshikazu Matsumura |
| scribe | 0.3.0 | Command Argument Parsing | Jordan Mark Barbone |
| scrime | 1.3.5 | Analysis of High-Dimensional Categorical Data Such as SNP Data | Holger Schwender |
| SCRIP | 1.0.0 | An Accurate Simulator for Single-Cell RNA Sequencing Data | Fei Qin |
| script | 0.1.1 | Identify Script Name | Tim Bergsma |
| scriptexec | 0.3.1 | Execute Native Scripts | Sagie Gur-Ari |
| scriptloc | 1.0.0 | Get the Location of the R Script that is Being Sourced/Executed | Naren Chandran Sakthivel |
| ScriptMapR | 0.0.3 | R Script Visualization in Cytoscape | Raphaël Bonnet |
| scriptName | 1.0.1 | Determine a Script's Filename from Within the Script Itself | Thomas Sibley |
| scriptuRs | 0.1.0 | Complete Text of the LDS Scriptures | Andrew Heiss |
| scrm | 1.7.5 | Simulating the Evolution of Biological Sequences | Dirk Metzler |
| ScRNAIMM | 0.1 | Performing Single-Cell RNA-Seq Imputation by Using Mean/Median
Imputation | Mohamed Soudy |
| scRNAstat | 0.1.1 | A Pipeline to Process Single Cell RNAseq Data | Yonghe Xia |
| scRNAtools | 1.0 | Single Cell RNA Sequencing Data Analysis Tools | Qian Yang |
| scrobbler | 1.0.3 | Download 'Scrobbles' from 'Last.fm' | Conor Neilson |
| scrollrevealR | 0.2.0 | Animate 'shiny' Elements when They Scroll into View using the
'scrollrevealjs' Library | Mohamed El Fodil Ihaddaden |
| scROSHI | 1.0.0.0 | Robust Supervised Hierarchical Identification of Single Cells | Lars Bosshard |
| SCRT | 1.3.1 | Single-Case Randomization Tests | Tamal Kumar De |
| scrutiny | 0.4.0 | Error Detection in Science | Lukas Jung |
| scrypt | 0.1.6 | Key Derivation Functions for R Based on Scrypt | Bob Jansen |
| scryr | 1.0.0 | An Interface to the 'Scryfall' API | Caio Lente |
| scs | 3.2.4 | Splitting Conic Solver | Florian Schwendinger |
| scSorter | 0.0.2 | Implementation of 'scSorter' Algorithm | Jun Li |
| scSpatialSIM | 0.1.3.3 | A Point Pattern Simulator for Spatial Cellular Data | Fridley Lab |
| scTenifoldKnk | 1.0.1 | In-Silico Knockout Experiments from Single-Cell Gene Regulatory
Networks | Daniel Osorio |
| scTenifoldNet | 1.3 | Construct and Compare scGRN from Single-Cell Transcriptomic Data | Daniel Osorio |
| sctransform | 0.4.1 | Variance Stabilizing Transformations for Single Cell UMI Data | Saket Choudhary |
| scuba | 1.11-1 | Diving Calculations and Decompression Models | Adrian Baddeley |
| scUtils | 0.1.0 | Utility Functions for Single-Cell RNA Sequencing Data | Felix Frauhammer |
| scutr | 0.2.0 | Balancing Multiclass Datasets for Classification Tasks | Keenan Ganz |
| SCVA | 1.3.1 | Single-Case Visual Analysis | Tamal Kumar De |
| sda | 1.3.8 | Shrinkage Discriminant Analysis and CAT Score Variable Selection | Korbinian Strimmer |
| SDaA | 0.1-5 | Sampling: Design and Analysis | Tobias Verbeke |
| sdafilter | 1.0.0 | Symmetrized Data Aggregation | Lilun Du |
| sdam | 1.1.4 | Social Dynamics and Complexity in the Ancient Mediterranean | Antonio Rivero Ostoic |
| sdamr | 0.2.0 | Statistics: Data Analysis and Modelling | Maarten Speekenbrink |
| SDAR | 0.9-55 | Stratigraphic Data Analysis | John R. Ortiz |
| SDAResources | 0.1.1 | Datasets and Functions for 'Sampling: Design and Analysis, 3rd
Edition' | Yan Lu |
| sdcHierarchies | 0.21.0 | Create and (Interactively) Modify Nested Hierarchies | Bernhard Meindl |
| sdcLog | 0.5.0 | Tools for Statistical Disclosure Control in Research Data
Centers | Matthias Gomolka |
| sdcMicro | 5.7.8 | Statistical Disclosure Control Methods for Anonymization of Data
and Risk Estimation | Matthias Templ |
| SDCNway | 1.0.1 | Tools to Evaluate Disclosure Risk | John Riddles |
| sdcSpatial | 0.5.2 | Statistical Disclosure Control for Spatial Data | Edwin de Jonge |
| sdcTable | 0.32.6 | Methods for Statistical Disclosure Control in Tabular Data | Bernhard Meindl |
| sde | 2.0.18 | Simulation and Inference for Stochastic Differential Equations | Stefano Maria Iacus |
| SDEFSR | 0.7.22 | Subgroup Discovery with Evolutionary Fuzzy Systems | Angel M. Garcia |
| sdetorus | 0.1.10 | Statistical Tools for Toroidal Diffusions | Eduardo García-Portugués |
| SDGdetector | 2.7.3 | Detect SDGs and Targets in Text | Yingjie Li |
| SDLfilter | 2.3.3 | Filtering and Assessing the Sample Size of Tracking Data | Takahiro Shimada |
| sdm | 1.2-32 | Species Distribution Modelling | Babak Naimi |
| sdmpredictors | 0.2.15 | Species Distribution Modelling Predictor Datasets | Salvador Fernandez |
| sdmTMB | 0.5.0 | Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB' | Sean C. Anderson |
| SDMtune | 1.3.1 | Species Distribution Model Selection | Sergio Vignali |
| sdmvspecies | 0.3.2 | Create Virtual Species for Species Distribution Modelling | Xiaoquan Kong |
| SDPDmod | 0.0.4 | Spatial Dynamic Panel Data Modeling | Rozeta Simonovska |
| sdpdth | 0.2 | M-Estimator for Threshold Spatial Dynamic Panel Data Model | Junyue Wu |
| sdPrior | 1.0-0 | Scale-Dependent Hyperpriors in Structured Additive
Distributional Regression | Nadja Klein |
| sdprisk | 1.1-6 | Measures of Risk for the Compound Poisson Risk Process with
Diffusion | Benjamin Baumgartner |
| SDPrism2D | 0.1.1 | Visualizing the Standard Deviation as the Size of a Prism | Hieu Nguyen |
| sdpt3r | 0.3 | Semi-Definite Quadratic Linear Programming Solver | Adam Rahman |
| sdrt | 1.0.0 | Estimating the Sufficient Dimension Reduction Subspaces in Time
Series | Tharindu P. De Alwis |
| SDT | 1.0.0 | Self-Determination Theory Measures | Ali Uenlue |
| sdtmval | 0.4.1 | Validate SDTM Domains | Stephen Knapp |
| sdwd | 1.0.5 | Sparse Distance Weighted Discrimination | Boxiang Wang |
| SE.EQ | 1.0 | SE-Test for Equivalence | Thomas Hoffelder |
| SEA | 2.0.1 | Segregation Analysis | Yuan-Ming Zhang |
| seacarb | 3.3.3 | Seawater Carbonate Chemistry | Jean-Pierre Gattuso |
| SEAGLE | 1.0.1 | Scalable Exact Algorithm for Large-Scale Set-Based
Gene-Environment Interaction Tests | Jocelyn Chi |
| SEAHORS | 1.8.0 | Spatial Exploration of ArcHaeological Objects in R Shiny | Sebastien Plutniak |
| sealasso | 0.1-3 | Standard Error Adjusted Adaptive Lasso | Wei Qian |
| searchConsoleR | 0.4.0 | Google Search Console R Client | Mark Edmondson |
| searcher | 0.0.7 | Query Search Interfaces | James Balamuta |
| SearchTrees | 0.5.5 | Spatial Search Trees | Gabriel Becker |
| SEARS | 0.1.0 | Seamless Dose Escalation/Expansion with Adaptive Randomization
Scheme | Chia-Wei Hsu |
| seas | 0.6-0 | Seasonal Analysis and Graphics, Especially for Climatology | Mike Toews |
| season | 0.3.15 | Seasonal Analysis of Health Data | Adrian Barnett |
| seasonal | 1.9.0 | R Interface to X-13-ARIMA-SEATS | Christoph Sax |
| seasonalclumped | 0.3.2 | Toolbox for Clumped Isotope Seasonality Reconstructions | Niels de Winter |
| seasonalityPlot | 1.2.1 | Seasonality Variation Plots of Stock Prices and Cryptocurrencies | Satoshi Kume |
| seasonalview | 0.3 | Graphical User Interface for Seasonal Adjustment | Christoph Sax |
| seastests | 0.15.4 | Seasonality Tests | Daniel Ollech |
| SeaVal | 1.1.1 | Validation of Seasonal Weather Forecasts | Claudio Heinrich-Mertsching |
| seawaveQ | 2.0.2 | SEAWAVE-Q Model | Karen R. Ryberg |
| SeBR | 1.0.0 | Semiparametric Bayesian Regression Analysis | Dan Kowal |
| SecDim | 3.2 | The Second Dimension of Spatial Association | Yongze Song |
| SECFISH | 0.1.7 | Disaggregate Variable Costs | Isabella Bitetto |
| SECP | 0.1.5 | Statistical Estimation of Cluster Parameters | Pavel V. Moskalev |
| secr | 4.6.6 | Spatially Explicit Capture-Recapture | Murray Efford |
| secrdesign | 2.9.0 | Sampling Design for Spatially Explicit Capture-Recapture | Murray Efford |
| secret | 1.1.0 | Share Sensitive Information in R Packages | Gábor Csárdi |
| secretbase | 0.4.0 | Cryptographic Hash and Extendable-Output Functions | Charlie Gao |
| secrettext | 0.1.0 | Encrypt Text Using a Shifting Substitution Cipher | Danielle Quinn |
| secrlinear | 1.2.2 | Spatially Explicit Capture-Recapture for Linear Habitats | Murray Efford |
| secsse | 3.0.2 | Several Examined and Concealed States-Dependent Speciation and
Extinction | Rampal S. Etienne |
| sectorgap | 0.1.0 | Consistent Economic Trend Cycle Decomposition | Sina Streicher |
| secure | 0.6 | Sequential Co-Sparse Factor Regression | Aditya Mishra |
| secuTrialR | 1.1.1 | Handling of Data from the Clinical Data Management System
'secuTrial' | Alan G. Haynes |
| sedproxy | 0.7.5 | Simulation of Sediment Archived Climate Proxy Records | Andrew Dolman |
| see | 0.8.3 | Model Visualisation Toolbox for 'easystats' and 'ggplot2' | Indrajeet Patil |
| seeclickfixr | 1.1.0 | Access Data from the SeeClickFix Web API | Justin de Benedictis-Kessner |
| seecolor | 0.2.0 | View Colors Used in R Objects in the Console | Shangchen Song |
| SeedCalc | 1.0.0 | Seed Germination and Seedling Growth Indexes | Laercio Junio da Silva |
| seedCCA | 3.1 | Seeded Canonical Correlation Analysis | Jae Keun Yoo |
| seededlda | 1.2.0 | Seeded Sequential LDA for Topic Modeling | Kohei Watanabe |
| SeedMatchR | 1.1.1 | Find Matches to Canonical SiRNA Seeds in Genomic Features | Tareian Cazares |
| seedr | 0.3.0 | Hydro and Thermal Time Seed Germination Models in R | Fernández-Pascual Eduardo |
| seedreg | 1.0.3 | Regression Analysis for Seed Germination as a Function of
Temperature | Gabriel Danilo Shimizu |
| seeds | 0.9.1 | Estimate Hidden Inputs using the Dynamic Elastic Net | Tobias Newmiwaka |
| seeker | 1.1.5 | Simplified Fetching and Processing of Microarray and RNA-Seq
Data | Jake Hughey |
| seer | 1.1.8 | Feature-Based Forecast Model Selection | Thiyanga Talagala |
| SEERaBomb | 2019.2 | SEER and Atomic Bomb Survivor Data Analysis Tools | Tomas Radivoyevitch |
| seewave | 2.2.3 | Sound Analysis and Synthesis | Jerome Sueur |
| segclust2d | 0.3.1 | Bivariate Segmentation/Clustering Methods and Tools | Remi Patin |
| SegCorr | 1.2 | Detecting Correlated Genomic Regions | Eleni Ioanna Delatola |
| segen | 1.1.0 | Sequence Generalization Through Similarity Network | Giancarlo Vercellino |
| segmag | 1.2.4 | Determine Event Boundaries in Event Segmentation Experiments | Frank Papenmeier |
| segmented | 2.0-3 | Regression Models with Break-Points / Change-Points Estimation
(with Possibly Random Effects) | Vito M. R. Muggeo |
| segmenTier | 0.1.2 | Similarity-Based Segmentation of Multidimensional Signals | Rainer Machne |
| segmentr | 0.2.0 | Segment Data With Maximum Likelihood | Thales Mello |
| segmetric | 0.3.0 | Metrics for Assessing Segmentation Accuracy for Geospatial Data | Michelle Picoli |
| segMGarch | 1.2 | Multiple Change-Point Detection for High-Dimensional GARCH
Processes | Karolos Korkas |
| segRDA | 1.0.2 | Modeling Non-Continuous Linear Responses of Ecological Data | Danilo C Vieira |
| segregation | 1.1.0 | Entropy-Based Segregation Indices | Benjamin Elbers |
| segregatr | 0.3.0 | Segregation Analysis for Variant Interpretation | Magnus Dehli Vigeland |
| seguid | 0.1.0 | Sequence Globally Unique Identifier (SEGUID) Checksums | Henrik Bengtsson |
| sehrnett | 0.1.0 | A Very Nice Interface to 'WordNet' | Chung-hong Chan |
| SEI | 0.1.1 | Calculating Standardised Indices | Sam Allen |
| SEIRfansy | 1.1.1 | Extended Susceptible-Exposed-Infected-Recovery Model | Michael Kleinsasser |
| seismic | 1.1 | Predict Information Cascade by Self-Exciting Point Process | Qingyuan Zhao |
| seismicRoll | 1.1.5 | Fast Rolling Functions for Seismology using 'Rcpp' | Gillian Sharer |
| sejmRP | 1.3.4 | An Information About Deputies and Votings in Polish Diet from
Seventh to Eighth Term of Office | Piotr Smuda |
| Sejong | 0.01 | KoNLP static dictionaries and Sejong project resources. | Heewon Jeon |
| SEL | 1.0-4 | Semiparametric Elicitation | Bjoern Bornkamp |
| selcorr | 1.0 | Post-Selection Inference for Generalized Linear Models | Marco Cattaneo |
| Select | 1.4 | Determines Species Probabilities Based on Functional Traits | Daniel Laughlin |
| selectapref | 0.1.2 | Analysis of Field and Laboratory Foraging | Jason Richardson |
| SelectBoost | 2.2.2 | A General Algorithm to Enhance the Performance of Variable
Selection Methods in Correlated Datasets | Frederic Bertrand |
| selection.index | 1.2.0 | Analysis of Selection Index in Plant Breeding | Zankrut Goyani |
| SelectionBias | 2.0.0 | Calculates Bounds for the Selection Bias for Binary Treatment
and Outcome Variables | Stina Zetterstrom |
| selectiongain | 2.0.710 | A Tool for Calculation and Optimization of the Expected Gain
from Multi-Stage Selection | Xuefei Mi |
| selectiveInference | 1.2.5 | Tools for Post-Selection Inference | Rob Tibshirani |
| selectMeta | 1.0.8 | Estimation of Weight Functions in Meta Analysis | Kaspar Rufibach |
| selectr | 0.4-2 | Translate CSS Selectors to XPath Expressions | Simon Potter |
| selectspm | 0.6 | Select Point Pattern Models Based on Minimum Contrast, AIC and
Goodness of Fit | Marcelino de la Cruz |
| SeleMix | 1.0.2 | Selective Editing via Mixture Models | Teresa Buglielli |
| selenider | 0.3.0 | Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium' | Ashby Thorpe |
| selenium | 0.1.3 | Low-Level Browser Automation Interface | Ashby Thorpe |
| seleniumPipes | 0.3.7 | R Client Implementing the W3C WebDriver Specification | John Harrison |
| SELF | 0.1.1 | A Structural Equation Embedded Likelihood Framework for Causal
Discovery | Jie Qiao |
| selfingTree | 0.2 | Genotype Probabilities in Intermediate Generations of Inbreeding
Through Selfing | Frank Technow |
| sem | 3.1-15 | Structural Equation Models | John Fox |
| semantic.assets | 1.1.0 | Assets for 'shiny.semantic' | Jakub Nowicki |
| semantic.dashboard | 0.2.1 | Dashboard with Fomantic UI Support for Shiny | Developers Appsilon |
| Semblance | 1.1.0 | A Data-Driven Similarity Kernel on Probability Spaces | Divyansh Agarwal |
| semdrw | 0.1.0 | 'SEM Shiny' | Kartikeya Bolar |
| semds | 0.9-6 | Structural Equation Multidimensional Scaling | Patrick Mair |
| semEff | 0.6.1 | Automatic Calculation of Effects for Piecewise Structural
Equation Models | Mark V. Murphy |
| semfindr | 0.1.8 | Influential Cases in Structural Equation Modeling | Shu Fai Cheung |
| semgram | 0.1.0 | Extracting Semantic Motifs from Textual Data | Oscar Stuhler |
| SEMgraph | 1.2.1 | Network Analysis and Causal Inference Through Structural
Equation Modeling | Barbara Tarantino |
| semhelpinghands | 0.1.10 | Helper Functions for Structural Equation Modeling | Shu Fai Cheung |
| semiArtificial | 2.4.1 | Generator of Semi-Artificial Data | Marko Robnik-Sikonja |
| semicmprskcoxmsm | 0.2.0 | Use Inverse Probability Weighting to Estimate Treatment Effect
for Semi Competing Risks Data | Yiran Zhang |
| SemiCompRisks | 3.4 | Hierarchical Models for Parametric and Semi-Parametric Analyses
of Semi-Competing Risks Data | Kyu Ha Lee |
| semicontMANOVA | 0.1-8 | Multivariate ANalysis of VAriance with Ridge Regularization for
Semicontinuous High-Dimensional Data | Elena Sabbioni |
| SEMID | 0.4.1 | Identifiability of Linear Structural Equation Models | Nils Sturma |
| semidist | 0.1.0 | Measure Dependence Between Categorical and Continuous Variables | Zhuoxi Li |
| SemiEstimate | 1.1.3 | Solve Semi-Parametric Estimation by Implicit Profiling | Jinhua Su <944866518 at qq.com> |
| SemiMarkov | 1.4.6 | Multi-States Semi-Markov Models | Agnieszka Listwon-Krol |
| seminr | 2.3.2 | Building and Estimating Structural Equation Models | Nicholas Patrick Danks |
| SemiPar | 1.0-4.2 | Semiparametic Regression | Billy Aung Myint |
| SemiPar.depCens | 0.1.2 | Copula Based Cox Proportional Hazards Models for Dependent
Censoring | Negera Wakgari Deresa |
| semlbci | 0.10.4 | Likelihood-Based Confidence Interval in Structural Equation
Models | Shu Fai Cheung |
| semmcci | 1.1.4 | Monte Carlo Confidence Intervals in Structural Equation Modeling | Ivan Jacob Agaloos Pesigan |
| semmcmc | 0.0.6 | Bayesian Structural Equation Modeling in Multiple Omics Data
Integration | Arnab Maity |
| semnar | 0.8.1 | Constructing and Interacting with Databases of Presentations | Ioannis Kosmidis |
| SemNeT | 1.4.4 | Methods and Measures for Semantic Network Analysis | Alexander P. Christensen |
| SemNetCleaner | 1.3.4 | An Automated Cleaning Tool for Semantic and Linguistic Data | Alexander P. Christensen |
| SemNetDictionaries | 0.2.0 | Dictionaries for the 'SemNetCleaner' Package | Alexander P. Christensen |
| semnova | 0.1-6 | Latent Repeated Measures ANOVA | Benedikt Langenberg |
| semPlot | 1.1.6 | Path Diagrams and Visual Analysis of Various SEM Packages'
Output | Sacha Epskamp |
| semPower | 2.1.0 | Power Analyses for SEM | Morten Moshagen |
| semptools | 0.2.10 | Customizing Structural Equation Modelling Plots | Shu Fai Cheung |
| SEMsens | 1.5.5 | A Tool for Sensitivity Analysis in Structural Equation Modeling | Walter Leite |
| semsfa | 1.1 | Semiparametric Estimation of Stochastic Frontier Models | Giancarlo Ferrara |
| semTests | 0.5.0 | Goodness-of-Fit Testing for Structural Equation Models | Jonas Moss |
| semTools | 0.5-6 | Useful Tools for Structural Equation Modeling | Terrence D. Jorgensen |
| semtree | 0.9.20 | Recursive Partitioning for Structural Equation Models | Andreas M. Brandmaier |
| semver | 0.2.0 | 'Semantic Versioning V2.0.0' Parser | John Harrison |
| semverutils | 0.1.0 | Semantic Version Utilities | Adam Wheeler |
| sendgridr | 0.6.1 | Mail Sender Using 'Sendgrid' Service | Chanyub Park |
| sendigR | 1.0.0 | Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets | Wenxian Wang |
| sendmailR | 1.4-0 | Send Email Using R | Olaf Mersmann |
| sense | 1.0.0 | Automatic Stacked Ensemble for Regression Tasks | Giancarlo Vercellino |
| sensemakr | 0.1.4 | Sensitivity Analysis Tools for Regression Models | Carlos Cinelli |
| sensibo.sky | 1.0.0 | Access to 'Sensibo Sky' API V2 for Air Conditioners Remote
Control | Gabriele Baldassarre |
| sensiPhy | 0.8.5 | Sensitivity Analysis for Comparative Methods | Gustavo Paterno |
| sensitivity | 1.30.0 | Global Sensitivity Analysis of Model Outputs and Importance
Measures | Bertrand Iooss |
| sensitivity2x2xk | 1.01 | Sensitivity Analysis for 2x2xk Tables in Observational Studies | Paul R. Rosenbaum |
| sensitivityCalibration | 0.0.1 | A Calibrated Sensitivity Analysis for Matched Observational
Studies | Bo Zhang |
| SensitivityCaseControl | 2.2 | Sensitivity Analysis for Case-Control Studies | Dylan Small |
| sensitivityfull | 1.5.6 | Sensitivity Analysis for Full Matching in Observational Studies | Paul R. Rosenbaum |
| sensitivitymult | 1.0.2 | Sensitivity Analysis for Observational Studies with Multiple
Outcomes | Paul R. Rosenbaum |
| sensitivitymv | 1.4.3 | Sensitivity Analysis in Observational Studies | Paul R. Rosenbaum |
| sensitivitymw | 2.1 | Sensitivity Analysis for Observational Studies Using Weighted
M-Statistics | Paul R. Rosenbaum |
| SensMap | 0.7 | Sensory and Consumer Data Mapping | Ibtihel Rebhi |
| sensmediation | 0.3.0 | Parametric Estimation and Sensitivity Analysis of Direct and
Indirect Effects | Anita Lindmark |
| sensobol | 1.1.5 | Computation of Variance-Based Sensitivity Indices | Arnald Puy |
| SensoMineR | 1.27 | Sensory Data Analysis | Francois Husson |
| sensory | 1.1 | Simultaneous Model-Based Clustering and Imputation via a
Progressive Expectation-Maximization Algorithm | Brian C. Franczak |
| SenSpe | 1.3 | Estimating Specificity at Controlled Sensitivity, or Vice Versa | Yijian Huang |
| sensR | 1.5-3 | Thurstonian Models for Sensory Discrimination | Dominik Rafacz |
| SenSrivastava | 2015.6.25.1 | Datasets from Sen & Srivastava | Kjetil B Halvorsen |
| senstrat | 1.0.3 | Sensitivity Analysis for Stratified Observational Studies | Paul R. Rosenbaum |
| SensusR | 2.3.1 | Sensus Analytics | Matthew S. Gerber |
| sentencepiece | 0.2.3 | Text Tokenization using Byte Pair Encoding and Unigram Modelling | Jan Wijffels |
| sentiment.ai | 0.1.1 | Simple Sentiment Analysis Using Deep Learning | Ben Wiseman |
| SentimentAnalysis | 1.3-5 | Dictionary-Based Sentiment Analysis | Nicolas Proellochs |
| sentimentr | 2.9.0 | Calculate Text Polarity Sentiment | Tyler Rinker |
| SenTinMixt | 1.0.0 | Parsimonious Mixtures of MSEN and MTIN Distributions | Salvatore D. Tomarchio |
| sentometrics | 1.0.0 | An Integrated Framework for Textual Sentiment Time Series
Aggregation and Prediction | Samuel Borms |
| sentryR | 1.1.2 | Send Errors and Messages to Sentry | Joao Santiago |
| SEofM | 0.1.0 | Standard Error of Measurement | Zhicheng Du |
| SEPaLS | 0.1.0 | Shrinkage for Extreme Partial Least-Squares (SEPaLS) | Hadrien Lorenzo |
| sEparaTe | 0.3.2 | Maximum Likelihood Estimation and Likelihood Ratio Test
Functions for Separable Variance-Covariance Structures | Timothy Schwinghamer |
| separationplot | 1.4 | Separation Plots | Brian Greenhill |
| sephora | 0.1.31 | Statistical Estimation of Phenological Parameters | Inder Tecuapetla-Gómez |
| sepkoski | 0.0.1 | Sepkoski's Fossil Marine Animal Genera Compendium | Lewis A. Jones |
| SeqAlignR | 0.1.1 | Sequence Alignment and Visualization Tool | Leonard Persson Norblad |
| SeqAlloc | 1.0 | Sequential Allocation for Prospective Experiments | Xiaoshu Zhu |
| seqCBS | 1.2.1 | Copy Number Profiling using Sequencing and CBS | Jeremy J. Shen |
| seqDesign | 1.2 | Simulation and Group Sequential Monitoring of Randomized
Two-Stage Treatment Efficacy Trials with Time-to-Event
Endpoints | Michal Juraska |
| SeqDetect | 1.0.7 | Sequence and Latent Process Detector | Dalibor Krleža |
| seqest | 1.0.1 | Sequential Method for Classification and Generalized Estimating
Equations Problem | Xiaoba Pan |
| SeqExpMatch | 0.1.0 | Sequential Experimental Design via Matching on-the-Fly | Adam Kapelner |
| SeqFeatR | 0.3.1 | A Tool to Associate FASTA Sequences and Features | Bettina Budeus |
| seqgendiff | 1.2.3 | RNA-Seq Generation/Modification for Simulation | David Gerard |
| seqhandbook | 0.1.1 | Miscellaneous Tools for Sequence Analysis | Nicolas Robette |
| seqHMM | 1.2.6 | Mixture Hidden Markov Models for Social Sequence Data and Other
Multivariate, Multichannel Categorical Time Series | Jouni Helske |
| seqICP | 1.1 | Sequential Invariant Causal Prediction | Niklas Pfister |
| seqimpute | 2.0.0 | Imputation of Missing Data in Sequence Analysis | Kevin Emery |
| seqinr | 4.2-36 | Biological Sequences Retrieval and Analysis | Simon Penel |
| SeqKat | 0.0.8 | Detection of Kataegis | Paul C. Boutros |
| SeqMADE | 1.0 | Network Module-Based Model in the Differential Expression
Analysis for RNA-Seq | Mingli Lei |
| seqmagick | 0.1.7 | Sequence Manipulation Utilities | Guangchuang Yu |
| seqminer | 9.4 | Efficiently Read Sequence Data (VCF Format, BCF Format, METAL
Format and BGEN Format) into R | Xiaowei Zhan |
| seqmon | 2.4 | Group Sequential Design Class for Clinical Trials | Hui Zheng |
| SeqNet | 1.1.3 | Generate RNA-Seq Data from Gene-Gene Association Networks | Tyler Grimes |
| seqtest | 0.1-0 | Sequential Triangular Test | Takuya Yanagida |
| seqtrie | 0.2.6 | Radix Tree and Trie-Based String Distances | Travers Ching |
| SequenceSpikeSlab | 1.0.1 | Exact Bayesian Model Selection Methods for the Sparse Normal
Sequence Model | Tim van Erven |
| Sequential | 4.3.3 | Exact Sequential Analysis for Poisson and Binomial Data | Ivair Ramos Silva |
| SequentialDesign | 1.0 | Observational Database Study Planning using Exact Sequential
Analysis for Poisson and Binomial Data | Judith Maro |
| sequoia | 2.9.0 | Pedigree Inference from SNPs | Jisca Huisman |
| sergeant | 0.9.1 | Tools to Transform and Query Data with Apache Drill | Bob Rudis |
| serial | 3.0 | The Serial Interface Package | Martin Seilmayer |
| seriation | 1.5.4 | Infrastructure for Ordering Objects Using Seriation | Michael Hahsler |
| serieslcb | 0.4.0 | Lower Confidence Bounds for Binomial Series System | Edward Schuberg |
| serp | 0.2.4 | Smooth Effects on Response Penalty for CLM | Ejike R. Ugba |
| serpstatr | 0.2.1 | 'Serpstat' API Wrapper | Alex Danilin |
| serrsBayes | 0.5-0 | Bayesian Modelling of Raman Spectroscopy | Matt Moores |
| servosphereR | 0.1.1 | Analyze Data Generated from Syntech Servosphere Trials | Jacob T. Wittman |
| servr | 0.30 | A Simple HTTP Server to Serve Static Files or Dynamic Documents | Yihui Xie |
| sesem | 1.0.2 | Spatially Explicit Structural Equation Modeling | Eric Lamb |
| SEset | 1.0.1 | Computing Statistically-Equivalent Path Models | Oisín Ryan |
| SESraster | 0.7.0 | Raster Randomization for Null Hypothesis Testing | Neander Marcel Heming |
| sessioninfo | 1.2.2 | R Session Information | Gábor Csárdi |
| set | 1.2 | Set Operation | Zhi Jin |
| setartree | 0.2.1 | SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time
Series Forecasting | Rakshitha Godahewa |
| SetMethods | 4.0 | Functions for Set-Theoretic Multi-Method Research and Advanced
QCA | Ioana-Elena Oana |
| setRNG | 2024.2-1 | Set (Normal) Random Number Generator and Seed | Paul Gilbert |
| sets | 1.0-25 | Sets, Generalized Sets, Customizable Sets and Intervals | David Meyer |
| setter | 0.0-1 | Mutators that Work with Pipes | Richard Cotton |
| SetTest | 0.2.0 | Group Testing Procedures for Signal Detection and
Goodness-of-Fit | Hong Zhang |
| settings | 0.2.7 | Software Option Settings Manager for R | Mark van der Loo |
| Seurat | 5.0.3 | Tools for Single Cell Genomics | Rahul Satija |
| SeuratObject | 5.0.1 | Data Structures for Single Cell Data | Paul Hoffman |
| sevenbridges2 | 0.1.0 | The 'Seven Bridges Platform' API Client | Marija Gacic |
| sever | 0.0.7 | Customise 'Shiny' Disconnected Screens and Error Messages | John Coene |
| sewage | 0.2.5 | A Light-Weight Data Pipelining Tool | Matthew Whalen |
| sf | 1.0-16 | Simple Features for R | Edzer Pebesma |
| sfadv | 1.0.1 | Advanced Methods for Stochastic Frontier Analysis | Yann Desjeux |
| sfaR | 1.0.0 | Stochastic Frontier Analysis Routines | K Hervé Dakpo |
| sfarrow | 0.4.1 | Read/Write Simple Feature Objects ('sf') with 'Apache' 'Arrow' | Chris Jochem |
| sfc | 0.1.0 | Substance Flow Computation | Hu Sheng |
| sfcentral | 0.1.0 | Spatial Centrality and Dispersion Statistics | Gabriel V. Gaona |
| sfcr | 0.2.1 | Simulate Stock-Flow Consistent Models | Joao Macalos |
| sfd | 0.1.0 | Space-Filling Design Library | Max Kuhn |
| sfdct | 0.3.0 | Constrained Triangulation for Simple Features | Michael D. Sumner |
| sfdep | 0.2.4 | Spatial Dependence for Simple Features | Dexter Locke |
| sFFLHD | 0.1.2 | Sequential Full Factorial-Based Latin Hypercube Design | Collin Erickson |
| sfheaders | 0.4.4 | Converts Between R Objects and Simple Feature Objects | David Cooley |
| sfhotspot | 0.8.0 | Hot-Spot Analysis with Simple Features | Matt Ashby |
| sfinx | 1.7.99 | Straightforward Filtering Index for AP-MS Data Analysis (SFINX) | Kevin Titeca |
| sfislands | 1.0.0 | Streamlines the Process of Fitting Areal Spatial Models | Kevin Horan |
| sfnetworks | 0.6.4 | Tidy Geospatial Networks | Lucas van der Meer |
| sfo | 0.1.2 | San Francisco International Airport Monthly Air Passengers | Rami Krispin |
| SFS | 0.1.4 | Similarity-First Search Seriation Algorithm | Utz-Uwe Haus |
| sfsmisc | 1.1-17 | Utilities from 'Seminar fuer Statistik' ETH Zurich | Martin Maechler |
| sft | 2.2-1 | Functions for Systems Factorial Technology Analysis of Data | Joe Houpt |
| sftime | 0.2-0 | Classes and Methods for Simple Feature Objects that Have a Time
Column | Henning Teickner |
| SFtools | 0.1.0 | Space Filling Based Tools for Data Mining | Mohamed Laib |
| sftrack | 0.5.4 | Modern Classes for Tracking and Movement Data | Mathieu Basille |
| sgapi | 1.0.2 | Aid Querying 'nomis' and 'Office for National Statistics Open
Geography' APIs | Andrew Christy |
| sgat | 0.9 | Extract Information from Google's "Popular Times" | Matias Poullain |
| SGB | 1.0.1.1 | Simplicial Generalized Beta Regression | Monique Graf |
| sGBJ | 0.1.0 | Survival Extension of the Generalized Berk-Jones Test | Laura Villain |
| sgd | 1.1.2 | Stochastic Gradient Descent for Scalable Estimation | Junhyung Lyle Kim |
| SGDinference | 0.1.0 | Inference with Stochastic Gradient Descent | Youngki Shin |
| sgee | 0.6-0 | Stagewise Generalized Estimating Equations | Gregory Vaughan |
| sgeostat | 1.0-27 | An Object-Oriented Framework for Geostatistical Modeling in S+ | Albrecht Gebhardt |
| SGL | 1.3 | Fit a GLM (or Cox Model) with a Combination of Lasso and Group
Lasso Regularization | Noah Simon |
| sglasso | 1.2.6 | Lasso Method for RCON(V,E) Models | Luigi Augugliaro |
| sglg | 0.2.2 | Fitting Semi-Parametric Generalized log-Gamma Regression Models | Carlos Alberto Cardozo Delgado |
| sglr | 0.8 | Sequential Generalized Likelihood Ratio Decision Boundaries
Proposed by Shih, Lai, Heyse and Chen (2010,
) | Balasubramanian Narasimhan |
| sgmodel | 0.1.2 | Solves a Generic Stochastic Growth Model with a Representative
Agent | Thomas Vigie |
| sGMRFmix | 0.3.0 | Sparse Gaussian Markov Random Field Mixtures for Anomaly
Detection | Koji Makiyama |
| sgo | 0.9.2 | Simple Geographical Operations (with OSGB36) | Carlos Lozano Ruiz |
| sgof | 2.3.4 | Multiple Hypothesis Testing | Irene Castro Conde |
| sgolay | 1.0.3 | Efficient Savitzky-Golay Filtering | Sergio Oller Moreno |
| SGP | 2.1-0.0 | Student Growth Percentiles & Percentile Growth Trajectories | Damian W. Betebenner |
| SGPdata | 27.0-0.0 | Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses | Damian W. Betebenner |
| sgPLS | 1.8 | Sparse Group Partial Least Square Methods | Benoit Liquet |
| sgpv | 1.1.0 | Calculate Second-Generation p-Values and Associated Measures | Valerie Welty |
| sgr | 1.3.1 | Sample Generation by Replacement | Massimiliano Pastore |
| sgs | 0.1.1 | Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control | Fabio Feser |
| sgsR | 1.4.5 | Structurally Guided Sampling | Tristan RH Goodbody |
| sgstar | 0.1.2 | Seasonal Generalized Space Time Autoregressive (S-GSTAR) Model | M. Yoga Satria Utama <221709801 at stis.ac.id> |
| sgt | 2.0 | Skewed Generalized T Distribution Tree | Carter Davis |
| shades | 1.4.0 | Simple Colour Manipulation | Jon Clayden |
| shadowr | 0.0.2 | Selenium Plugin to Manage Multi Level Shadow Elements on Web
Page | Ricardo Landolt |
| shadowtext | 0.1.3 | Shadow Text Grob and Layer | Guangchuang Yu |
| shape | 1.4.6.1 | Functions for Plotting Graphical Shapes, Colors | Karline Soetaert |
| ShapeChange | 1.5 | Change-Point Estimation using Shape-Restricted Splines | Xiyue Liao |
| shapefiles | 0.7.2 | Read and Write ESRI Shapefiles | Ben Stabler |
| shapeNA | 0.0.2 | M-Estimation of Shape for Data with Missing Values | Katharina Riemer |
| ShapePattern | 3.0.1 | Tools for Analyzing Shapes and Patterns | Tarmo K. Remmel |
| shapeR | 1.0-1 | Collection and Analysis of Otolith Shape Data | Lisa Anne Libungan |
| ShapeRotator | 0.1.0 | Standardised Rigid Rotations of Articulated Three-Dimensional
Structures | Marta Vidal-Garcia |
| shapes | 1.2.7 | Statistical Shape Analysis | Ian Dryden |
| ShapeSelectForest | 1.7 | Shape Selection for Landsat Time Series of Forest Dynamics | Xiyue Liao |
| SHAPforxgboost | 0.1.3 | SHAP Plots for 'XGBoost' | Yang Liu |
| shapley | 0.1 | Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble | E. F. Haghish |
| ShapleyOutlier | 0.1.1 | Multivariate Outlier Explanations using Shapley Values and
Mahalanobis Distances | Marcus Mayrhofer |
| ShapleyValue | 0.2.0 | Shapley Value Regression for Relative Importance of Attributes | Jingyi Liang |
| shapper | 0.1.3 | Wrapper of Python Library 'shap' | Szymon Maksymiuk |
| shapr | 0.2.2 | Prediction Explanation with Dependence-Aware Shapley Values | Martin Jullum |
| shapviz | 0.9.3 | SHAP Visualizations | Michael Mayer |
| shar | 2.3 | Species-Habitat Associations | Maximilian H.K. Hesselbarth |
| SharkDemography | 1.1.0 | Shark Demographic Analyses Using Leslie Matrix Models | Jonathan Smart |
| sharp | 1.4.6 | Stability-enHanced Approaches using Resampling Procedures | Barbara Bodinier |
| sharpData | 1.4 | Data Sharpening | W.J. Braun |
| SharpeR | 1.3.0 | Statistical Significance of the Sharpe Ratio | Steven E. Pav |
| sharpeRratio | 1.4.3 | Moment-Free Estimation of Sharpe Ratios | Damien Challet |
| sharpPen | 1.9 | Penalized Data Sharpening for Local Polynomial Regression | D. Wang |
| sharpr2 | 1.1.1.0 | Estimating Regulatory Scores and Identifying ATAC-STARR Data | Liang He |
| sharpshootR | 2.3 | A Soil Survey Toolkit | Dylan Beaudette |
| sharx | 1.0-5 | Models and Data Sets for the Study of Species-Area Relationships | Peter Solymos |
| shattering | 1.0.7 | Estimate the Shattering Coefficient for a Particular Dataset | Rodrigo F. de Mello |
| shazam | 1.2.0 | Immunoglobulin Somatic Hypermutation Analysis | Susanna Marquez |
| SheetReader | 1.2.0 | Parse xlsx Files | Felix Henze |
| SHELF | 1.9.0 | Tools to Support the Sheffield Elicitation Framework | Jeremy Oakley |
| ShellChron | 0.4.0 | Builds Chronologies from Oxygen Isotope Profiles in Shells | Niels de Winter |
| shelltrace | 3.5.1 | Bivalve Growth and Trace Element Accumulation Model | Niels J. de Winter |
| sherlock | 0.7.0 | Graphical Displays for Structured Problem Solving and Diagnosis | Gabor Szabo |
| SherlockHolmes | 1.0.1 | Building a Concordance of Terms in a Series of Texts | Barry Zeeberg |
| shidashi | 0.1.6 | A Shiny Dashboard Template System | Zhengjia Wang |
| shide | 0.2.0 | Date/Time Classes Based on Jalali Calendar | Mohsen Mollayi |
| ShiftConvolvePoibin | 1.0.0 | Exactly Computing the Tail of the Poisson-Binomial Distribution | Andrew Lee |
| shiftR | 1.5 | Fast Enrichment Analysis via Circular Permutations | Andrey A Shabalin |
| ShiftShareSE | 1.1.0 | Inference in Regressions with Shift-Share Structure | Michal Kolesár |
| shinipsum | 0.1.1 | Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping | Colin Fay |
| shiny | 1.8.1.1 | Web Application Framework for R | Winston Chang |
| shiny.benchmark | 0.1.1 | Benchmark the Performance of 'shiny' Applications | Douglas Azevedo |
| shiny.blueprint | 0.2.0 | Palantir's 'Blueprint' for 'Shiny' Apps | Kamil Żyła |
| shiny.emptystate | 0.1.0 | Empty State Components for 'Shiny' | Ryszard Szymański |
| shiny.exe | 0.2.0 | Launch a Shiny Application without Opening R or RStudio | Abdoul Oudouss Diakité |
| shiny.fluent | 0.3.0 | Microsoft Fluent UI for Shiny Apps | Kamil Żyła |
| shiny.i18n | 0.3.0 | Shiny Applications Internationalization | Jakub Nowicki |
| shiny.info | 0.2.0 | 'shiny' Info | Jakub Nowicki |
| shiny.pwa | 0.2.1 | Progressive Web App Support for Shiny | Pedro Silva |
| shiny.react | 0.3.0 | Tools for Using React in Shiny | Kamil Żyła |
| shiny.reglog | 0.5.2 | Optional Login and Registration Module System for ShinyApps | Michal Kosinski |
| shiny.router | 0.3.1 | Basic Routing for Shiny Web Applications | Ryszard Szymański |
| shiny.semantic | 0.5.1 | Semantic UI Support for Shiny | Jakub Nowicki |
| shiny.tailwind | 0.2.2 | 'TailwindCSS' for Shiny Apps | Kyle Butts |
| shiny.telemetry | 0.2.0 | 'Shiny' App Usage Telemetry | André Veríssimo |
| shiny.worker | 0.0.1 | Delegate Jobs for Shiny Web Applications | Dominik Krzemiński |
| shinyAce | 0.4.2 | Ace Editor Bindings for Shiny | Vincent Nijs |
| shinyaframe | 1.0.1 | 'WebVR' Data Visualizations with 'RStudio Shiny' and 'Mozilla
A-Frame' | William Murphy |
| shinyalert | 3.0.0 | Easily Create Pretty Popup Messages (Modals) in 'Shiny' | Dean Attali |
| shinyanimate | 0.4.0 | Animation for 'shiny' Elements | Swechhya Bista |
| shinyauthr | 1.0.0 | 'Shiny' Authentication Modules | Paul Campbell |
| shinybrms | 1.8.0 | Graphical User Interface ('shiny' App) for 'brms' | Frank Weber |
| shinybrowser | 1.0.0 | Find Out Information About a User's Web Browser in 'Shiny' | Dean Attali |
| shinyBS | 0.61.1 | Twitter Bootstrap Components for Shiny | Eric Bailey |
| shinybusy | 0.3.3 | Busy Indicators and Notifications for 'Shiny' Applications | Victor Perrier |
| shinyChakraSlider | 0.1.0 | Combined Slider and Numeric Input for 'Shiny' | Stéphane Laurent |
| shinyChakraUI | 1.1.1 | A Wrapper of the 'React' Library 'Chakra UI' for 'Shiny' | Stéphane Laurent |
| shinyChatR | 1.1.0 | R Shiny Chat Module | Julian Schmocker |
| shinyCohortBuilder | 0.2.1 | Modular Cohort-Building Framework for Analytical Dashboards | Krystian Igras |
| shinyCox | 1.0.1 | Create 'shiny' Applications for Cox Proportional Hazards Models | Harrison Clement |
| shinycssloaders | 1.0.0 | Add Loading Animations to a 'shiny' Output While It's
Recalculating | Dean Attali |
| shinycustomloader | 0.9.0 | Custom Loader for Shiny Outputs | Emi Tanaka |
| shinyCyJS | 1.0.0 | Create Interactive Network Visualizations in R and 'shiny' | Jinhwan Kim |
| shinydashboard | 0.7.2 | Create Dashboards with 'Shiny' | Winston Chang |
| shinydashboardPlus | 2.0.4 | Add More 'AdminLTE2' Components to 'shinydashboard' | David Granjon |
| shinyDatetimePickers | 1.1.0 | Some Datetime Pickers for 'Shiny' | Stéphane Laurent |
| shinydbauth | 1.0.0.1 | Simple Authentification for 'shiny' Applications | Diego Florio |
| shinydisconnect | 0.1.1 | Show a Nice Message When a 'Shiny' App Disconnects or Errors | Dean Attali |
| shinydlplot | 0.1.4 | Add a Download Button to a 'shiny' Plot or 'plotly' | Alex Pickering |
| shinyDND | 0.1.0 | Shiny Drag-n-Drop | Aaron Hoffer |
| shinydrive | 0.1.3 | File Sharing Shiny Module | Benoit Thieurmel |
| shinyEffects | 0.2.0 | Customize Your Web Apps with Fancy Effects | David Granjon |
| shinyExprPortal | 1.1.0 | A Configurable 'shiny' Portal for Sharing Analysis of Molecular
Expression Data | Rafael Henkin |
| shinyFeedback | 0.4.0 | Display User Feedback in Shiny Apps | Andy Merlino |
| shinyFiles | 0.9.3 | A Server-Side File System Viewer for Shiny | Thomas Lin Pedersen |
| shinyfilter | 0.1.1 | Use Interdependent Filters on Table Columns in Shiny Apps | Joachim Zuckarelli |
| shinyfullscreen | 1.1.0 | Display 'HTML' Elements on Full Screen in 'Shiny' Apps | Etienne Bacher |
| shinyGizmo | 0.4.2 | Custom Components for Shiny Applications | Krystian Igras |
| shinyglide | 0.1.4 | Glide Component for Shiny Applications | Julien Barnier |
| shinyGovstyle | 0.0.8 | Custom Gov Style Inputs for Shiny | Ross Wyatt |
| shinyHeatmaply | 0.2.0 | Deploy 'heatmaply' using 'shiny' | Jonathan Sidi |
| shinyhelper | 0.3.2 | Easily Add Markdown Help Files to 'shiny' App Elements | Chris Mason-Thom |
| shinyhttr | 1.1.0 | Progress Bars for Downloads in 'shiny' Apps | Athos Damiani |
| shinyHugePlot | 0.2.6 | Efficient Plotting of Large-Sized Data | Junta Tagusari |
| shinyInvoice | 0.0.5 | Shiny App - Generate a Pdf Invoice with 'Rmarkdown' | Fernando Roa |
| shinyIRT | 0.1 | Item Response Theory Analysis with a 'shiny' Application | Huseyin Yildiz |
| ShinyItemAnalysis | 1.5.0 | Test and Item Analysis via Shiny | Patricia Martinkova |
| shinyjqui | 0.4.1 | 'jQuery UI' Interactions and Effects for Shiny | Yang Tang |
| shinyjs | 2.1.0 | Easily Improve the User Experience of Your Shiny Apps in Seconds | Dean Attali |
| shinyKGode | 1.0.5 | An Interactive Application for ODE Parameter Inference Using
Gradient Matching | Joe Wandy |
| shinyKnobs | 0.1.3 | A Collection of Knob Inputs for 'shiny' | Patrice Cote |
| shinylight | 1.1.2 | Web Interface to 'R' Functions | Tim Band |
| ShinyLink | 0.2.2 | 'Shiny' Based Record Linkage Tool | Yaoxiang Li |
| shinylive | 0.1.1 | Run 'shiny' Applications in the Browser | Barret Schloerke |
| shinyloadtest | 1.1.0 | Load Test Shiny Applications | Barret Schloerke |
| shinylogs | 0.2.1 | Record Everything that Happens in a 'Shiny' Application | Victor Perrier |
| shinyLP | 1.1.3 | Bootstrap Landing Home Pages for Shiny Applications | Jasmine Daly |
| shinymanager | 1.0.410 | Authentication Management for 'Shiny' Applications | Benoit Thieurmel |
| shinymaterial | 1.2.0 | Implement Material Design in Shiny Applications | Eric Anderson |
| shinyMatrix | 0.6.0 | Shiny Matrix Input Field | Andreas Neudecker |
| shinyMergely | 0.2.0 | Compare and Merge Two Files with a 'Shiny' App | Stéphane Laurent |
| shinymeta | 0.2.0.3 | Export Domain Logic from Shiny using Meta-Programming | Carson Sievert |
| shinyML | 1.0.1 | Compare Supervised Machine Learning Models Using Shiny App | Jean Bertin |
| shinyMobile | 1.0.1 | Mobile Ready 'shiny' Apps with Standalone Capabilities | David Granjon |
| shinymodels | 0.1.1 | Interactive Assessments of Models | Simon Couch |
| shinyMolBio | 0.2 | Molecular Biology Visualization Tools for 'Shiny' Apps | Konstantin A. Blagodatskikh |
| shinyMonacoEditor | 1.1.0 | The 'Monaco' Editor in 'Shiny' | Stéphane Laurent |
| shinyNORRRM | 0.8.6 | The Ultimate Igneous Norm | Reneé González-Guzmán |
| shinyNotes | 0.0.2 | Shiny Module for Taking Free-Form Notes | Daniel Kovtun |
| shinyobjects | 0.2.0 | Access Reactive Data Interactively | Jake Riley |
| shinypanel | 0.1.5 | Shiny Control Panel | Alex Pickering |
| shinypanels | 0.5.0 | Shiny Layout with Collapsible Panels | Juan Pablo Marin Diaz |
| shinypivottabler | 1.2 | Shiny Module to Create Pivot Tables | Benoit Thieurmel |
| shinyPredict | 0.1.1 | Predictions using Shiny | Jari Haukka |
| ShinyQuickStarter | 2.0.1 | 'RStudio' Addin for Building Shiny Apps per Drag & Drop | Leon Binder |
| shinyquiz | 0.0.1 | Create Interactive Quizzes in 'shiny' | Joseph Marlo |
| shinyr | 0.3.0 | Data Insights Through Inbuilt R Shiny App | Jayachandra N |
| shinyRadioMatrix | 0.2.1 | Create a Matrix with Radio Buttons | Zsolt Szelepcsényi |
| shinyRatings | 0.1.0 | An Intuitive Way of Providing Star Rating in a 'shiny' App | Ronak Shah |
| shinyrecipes | 0.1.0 | Gadget to Use the Data Preprocessing 'recipes' Package
Interactively | Alberto Almuiña |
| shinyreforms | 0.0.1 | Add Forms to your 'Shiny' App | Piotr Bajger |
| shinyRGL | 0.1.0 | Shiny Wrappers for RGL | Jeff Allen |
| shinySbm | 0.1.5 | 'shiny' Application to Use the Stochastic Block Model | Theodore Vanrenterghem |
| shinyscreenshot | 0.2.1 | Capture Screenshots of Entire Pages or Parts of Pages in 'Shiny' | Dean Attali |
| shinySearchbar | 1.0.0 | Shiny Searchbar - An Input Widget for Highlighting Text and More | Jesse Norris |
| shinySelect | 1.3.0 | A Wrapper of the 'react-select' Library | Stéphane Laurent |
| shinyservicebot | 0.1.0 | Servicebot 'Shiny' Integration | Bjorn Ole Lindseth |
| shinyShortcut | 0.1.0 | Creates an Executable Shortcut for Shiny Applications | Ewan Keith |
| shinySIR | 0.1.2 | Interactive Plotting for Mathematical Models of Infectious
Disease Spread | Sinead E. Morris |
| shinystan | 2.6.0 | Interactive Visual and Numerical Diagnostics and Posterior
Analysis for Bayesian Models | Jonah Gabry |
| shinyStorePlus | 1.1 | Secure in-Browser Storage for 'Shiny' Inputs, Outputs and
Variables | Obinna Obianom |
| shinysurveys | 0.2.0 | Create and Deploy Surveys in 'Shiny' | Jonathan Trattner |
| shinyTempSignal | 0.0.8 | Explore Temporal and Other Phylogenetic Signals | Guangchuang Yu |
| shinytest | 1.5.4 | Test Shiny Apps | Winston Chang |
| shinytest2 | 0.3.1 | Testing for Shiny Applications | Barret Schloerke |
| ShinyTester | 0.1.0 | Functions to Minimize Bonehead Moves While Working with 'shiny' | Amit Kohli |
| shinythemes | 1.2.0 | Themes for Shiny | Winston Chang |
| shinyTime | 1.0.3 | A Time Input Widget for Shiny | Gerhard Burger |
| shinytitle | 0.1.0 | Update Browser Window Title in 'shiny' Session | Ashley Baldry |
| shinyToastify | 2.0.0 | Pretty Notifications for 'Shiny' | Stéphane Laurent |
| shinytoastr | 2.2.0 | Notifications from 'Shiny' | Gábor Csárdi |
| shinyTree | 0.3.1 | jsTree Bindings for Shiny | Michael Bell |
| shinyvalidate | 0.1.3 | Input Validation for Shiny Apps | Carson Sievert |
| shinyWidgets | 0.8.4 | Custom Inputs Widgets for Shiny | Victor Perrier |
| shinyXYpad | 0.2.0 | XY Controller for 'Shiny' | Stéphane Laurent |
| shipunov | 1.17.1 | Miscellaneous Functions from Alexey Shipunov | ORPHANED |
| shock | 1.0 | Slope Heuristic for Block-Diagonal Covariance Selection in High
Dimensional Gaussian Graphical Models | Melina Gallopin |
| shopifyadsR | 0.1.0 | Get 'Shopify' Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| shopifyr | 1.0.0 | An R Interface to the Shopify API | Charlie Friedemann |
| shoredate | 1.1.1 | Shoreline Dating Coastal Stone Age Sites | Isak Roalkvam |
| shortcuts | 1.4.0 | Useful Shortcuts to Interact with 'RStudio' Scripts | José Carlos Del Valle |
| ShortForm | 0.5.3 | Automatic Short Form Creation | Anthony Raborn |
| shortIRT | 0.1.3 | Procedures Based on Item Response Theory Models for the
Development of Short Test Forms | Ottavia M. Epifania |
| shorts | 3.1.0 | Short Sprints | Mladen Jovanović |
| shotGroups | 0.8.2 | Analyze Shot Group Data | Daniel Wollschlaeger |
| showimage | 1.0.0 | Show an Image on an 'R' Graphics Device | Gábor Csárdi |
| showtext | 0.9-7 | Using Fonts More Easily in R Graphs | Yixuan Qiu |
| showtextdb | 3.0 | Font Files for the 'showtext' Package | Yixuan Qiu |
| shp2graph | 1-0 | Convert a 'SpatialLinesDataFrame' -Class Object to an
'igraph'-Class Object | Binbin Lu |
| shrink | 1.2.3 | Global, Parameterwise and Joint Shrinkage Factor Estimation | Daniela Dunkler |
| ShrinkCovMat | 1.4.0 | Shrinkage Covariance Matrix Estimators | Anestis Touloumis |
| shrinkDSM | 0.2.0 | Efficient Bayesian Inference for Dynamic Survival Models with
Shrinkage | Daniel Winkler |
| shrinkTVP | 3.0.1 | Efficient Bayesian Inference for Time-Varying Parameter Models
with Shrinkage | Peter Knaus |
| shroomDK | 0.3.0 | Accessing the Flipside Crypto ShroomDK API | Carlos Mercado |
| SHT | 0.1.8 | Statistical Hypothesis Testing Toolbox | Kisung You |
| shuffle | 1.0.1 | The Shuffle Estimator for Explainable Variance | Yuval Benjamini |
| shuffleCI | 0.1.0 | Confidence Intervals Compared via Shuffling | Kyle Caudle |
| shutterplot | 0.1.0 | The R Shutter Plot Package | Siddhanta Phuyal |
| SI | 0.2.0 | Stochastic Integrating | Jinhong Du |
| SIAmodules | 0.1.0 | Modules for 'ShinyItemAnalysis' | Patricia Martinkova |
| SIBER | 2.1.9 | Stable Isotope Bayesian Ellipses in R | Andrew Jackson |
| SIBERG | 2.0.3 | Systematic Identification of Bimodally Expressed Genes Using
RNAseq Data | Kevin R. Coombes |
| sicegar | 0.2.4 | Analysis of Single-Cell Viral Growth Curves | Claus O. Wilke |
| siconvr | 0.0.1 | Fetch Data from Plataforma +Brasil (SICONV) | Fernando Meireles |
| SID | 1.1 | Structural Intervention Distance | Fred Gruber |
| SIDES | 1.18 | Subgroup Identification Based on Differential Effect Search | Marie-Karelle Riviere |
| sidier | 4.1.0 | Substitution and Indel Distances to Infer Evolutionary
Relationships | A.J. Muñoz-Pajares |
| sidrar | 0.2.9 | An Interface to IBGE's SIDRA API | Renato Prado Siqueira |
| Sie2nts | 0.1.0 | Sieve Methods for Non-Stationary Time Series | Xiucai Ding |
| siebanxicor | 1.0.0 | Query Data Series from Bank of Mexico | Noé Palmerin |
| SiER | 0.1.0 | Signal Extraction Approach for Sparse Multivariate Response
Regression | Ruiyan Luo |
| Sieve | 2.1 | Nonparametric Estimation by the Method of Sieves | Tianyu Zhang |
| sievePH | 1.0.4 | Sieve Analysis Methods for Proportional Hazards Models | Michal Juraska |
| sievetest | 1.2.3 | Laboratory Sieve Test Reporting Functions | Petr Matousu |
| sift | 0.1.0 | Intelligently Peruse Data | Scott McKenzie |
| sig | 0.0-6 | Print Function Signatures | Richard Cotton |
| sigclust | 1.1.0.1 | Statistical Significance of Clustering | Hanwen Huang |
| SightabilityModel | 1.5.5 | Wildlife Sightability Modeling | Schwarz Carl James |
| sigInt | 0.2.0 | Estimate the Parameters of a Discrete Crisis-Bargaining Game | Casey Crisman-Cox |
| sigmajs | 0.1.5 | Interface to 'Sigma.js' Graph Visualization Library | John Coene |
| sigminer | 2.3.0 | Extract, Analyze and Visualize Mutational Signatures for Genomic
Variations | Shixiang Wang |
| sigmoid | 1.4.0 | Sigmoid Functions for Machine Learning | Bastiaan Quast |
| SIGN | 0.1.0 | Similarity Identification in Gene Expression | Benjamin Haibe-Kains |
| Signac | 1.13.0 | Analysis of Single-Cell Chromatin Data | Tim Stuart |
| SignacX | 2.2.5 | Cell Type Identification and Discovery from Single Cell Gene
Expression Data | Mathew Chamberlain |
| signal | 1.8-0 | Signal Processing | Uwe Ligges |
| signalHsmm | 1.5 | Predict Presence of Signal Peptides | Michal Burdukiewicz |
| signatureSurvival | 1.0.0 | Signature Survival Analysis | Yuan-De Tan |
| signed.backbones | 0.91.5 | Extract the Signed Backbones of Weighted Networks | Furkan Gursoy |
| signibox | 1.0 | Statistical Significance Marks on Boxplots | Louis-Marvin Sander |
| SignifReg | 4.3 | Consistent Significance Controlled Variable Selection in
Generalized Linear Regression | Adriano Zanin Zambom |
| signnet | 1.0.4 | Methods to Analyse Signed Networks | David Schoch |
| signs | 0.1.2 | Insert Proper Minus Signs | Benjamin E. Wolfe |
| SigOptR | 0.0.1 | R API Wrapper for SigOpt | Alexandra Johnson |
| sigora | 3.1.1 | Signature Overrepresentation Analysis | Witold Wolski |
| sigQC | 0.1.23 | Quality Control Metrics for Gene Signatures | Andrew Dhawan |
| sigr | 1.1.5 | Succinct and Correct Statistical Summaries for Reports | John Mount |
| SigTree | 1.10.6 | Identify and Visualize Significantly Responsive Branches in a
Phylogenetic Tree | John R. Stevens |
| SIHR | 2.0.1 | Statistical Inference in High Dimensional Regression | Zijian Guo |
| siie | 0.4.0 | Superior Identification Index and Its Extensions | Tian-Yuan Huang |
| siland | 3.0.2 | Spatial Influence of Landscape | Martin Olivier |
| SILGGM | 1.0.0 | Statistical Inference of Large-Scale Gaussian Graphical Model in
Gene Networks | Rong Zhang |
| silicate | 0.7.1 | Common Forms for Complex Hierarchical and Relational Data
Structures | Michael D. Sumner |
| SillyPutty | 0.4.1 | Silly Putty Clustering | Kevin R. Coombes |
| SILM | 1.0.0 | Simultaneous Inference for Linear Models | Xianyang Zhang |
| Sim.DiffProc | 4.9 | Simulation of Diffusion Processes | Arsalane Chouaib Guidoum |
| Sim.PLFN | 1.0 | Simulation of Piecewise Linear Fuzzy Numbers | Abbas Parchami |
| sim1000G | 1.40 | Genotype Simulations for Rare or Common Variants Using
Haplotypes from 1000 Genomes | Apostolos Dimitromanolakis |
| sim2Dpredictr | 0.1.1 | Simulate Outcomes Using Spatially Dependent Design Matrices | Justin Leach |
| simaerep | 0.5.0 | Find Clinical Trial Sites Under-Reporting Adverse Events | Bjoern Koneswarakantha |
| SimBIID | 0.2.1 | Simulation-Based Inference Methods for Infectious Disease Models | Trevelyan J. McKinley |
| simboot | 0.2-8 | Simultaneous Inference for Diversity Indices | Ralph Scherer |
| simCAT | 1.0.0 | Implements Computerized Adaptive Testing Simulations | Alexandre Jaloto |
| simcausal | 0.5.6 | Simulating Longitudinal Data with Causal Inference Applications | Fred Gruber |
| simcdm | 0.1.2 | Simulate Cognitive Diagnostic Model ('CDM') Data | James Joseph Balamuta |
| SimComp | 3.3 | Simultaneous Comparisons for Multiple Endpoints | Mario Hasler |
| SimCop | 0.7.0 | Simulate from Arbitrary Copulae | Berwin A. Turlach |
| SimCorMultRes | 1.9.0 | Simulates Correlated Multinomial Responses | Anestis Touloumis |
| SimCorrMix | 0.1.1 | Simulation of Correlated Data with Multiple Variable Types
Including Continuous and Count Mixture Distributions | Allison Cynthia Fialkowski |
| simcross | 0.6 | Simulate Experimental Crosses | Karl W Broman |
| simctest | 2.6 | Safe Implementation of Monte Carlo Tests | Axel Gandy |
| simDAG | 0.1.1 | Simulate Data from a DAG and Associated Node Information | Robin Denz |
| simdd | 1.1-2 | Simulation of Fisher Bingham and Related Directional
Distributions | Kassel Liam Hingee |
| SimDesign | 2.14 | Structure for Organizing Monte Carlo Simulation Designs | Phil Chalmers |
| SimDissolution | 0.1.0 | Modeling and Assessing Similarity of Drug Dissolutions Profiles | Kathrin Moellenhoff |
| simdistr | 1.0.1 | Assessment of Data Trial Distributions According to the
Carlisle-Stouffer Method | Bernardo Sousa-Pinto |
| simDNAmixtures | 1.0.1 | Simulate Forensic DNA Mixtures | Maarten Kruijver |
| simecol | 0.8-14 | Simulation of Ecological (and Other) Dynamic Systems | Thomas Petzoldt |
| simEd | 2.0.1 | Simulation Education | Barry Lawson |
| SimEngine | 1.4.0 | A Modular Framework for Statistical Simulations in R | Avi Kenny |
| simer | 0.9.0.4 | Data Simulation for Life Science and Breeding | Xiaolei Liu |
| simest | 0.4 | Constrained Single Index Model Estimation | Arun Kumar Kuchibhotla |
| simET | 1.0.3 | Tools for Simulation of Evapotranspiration of Field Crops and
Soil Water Balance | Minguo Liu |
| SimEUCartelLaw | 1.0.3 | Simulation of Legal Exemption System for European Cartel Law | Martin Becker |
| simex | 1.8 | SIMEX- And MCSIMEX-Algorithm for Measurement Error Models | Wolfgang Lederer |
| simexaft | 1.0.7.1 | simexaft | Juan Xiong |
| simExam | 1.0.0 | Generate Simulated Data for IRT-Enabled Exams | Waldir Leoncio |
| SIMEXBoost | 0.2.0 | Boosting Method for High-Dimensional Error-Prone Data | Bangxu Qiu <1135427976 at qq.com> |
| simfam | 1.1.6 | Simulate and Model Family Pedigrees with Structured Founders | Alejandro Ochoa |
| simfinapi | 1.0.0 | Accessing 'SimFin' Data | Matthias Gomolka |
| simfit | 0.1.0 | Test Model Fit with Simulation | James Green |
| simFrame | 0.5.4 | Simulation Framework | Andreas Alfons |
| simglm | 0.8.9 | Simulate Models Based on the Generalized Linear Model | Brandon LeBeau |
| simgof | 1.0.2 | Simultaneous Goodness-of-Fits Tests | Wolfgang Rolke |
| SimHaz | 0.1 | Simulated Survival and Hazard Analysis for Time-Dependent
Exposure | Nusrat Rabbee |
| simhelpers | 0.2.1 | Helper Functions for Simulation Studies | Megha Joshi |
| SIMICO | 0.2.0 | Set-Based Inference for Multiple Interval-Censored Outcomes | Jaihee Choi |
| simIDM | 0.1.0 | Simulating Oncology Trials using an Illness-Death Model | Alexandra Erdmann |
| SimilaR | 1.0.8 | R Source Code Similarity Evaluation | Maciej Bartoszuk |
| SimilarityMeasures | 1.4 | Trajectory Similarity Measures | Kevin Toohey |
| Simile | 1.3.3 | Interact with Simile Models | Jasper Taylor |
| SimInf | 9.6.0 | A Framework for Data-Driven Stochastic Disease Spread
Simulations | Stefan Widgren |
| simIReff | 1.0 | Stochastic Simulation for Information Retrieval Evaluation:
Effectiveness Scores | Julián Urbano |
| simitation | 0.0.7 | Simplified Simulations | Srivastav Budugutta |
| simITS | 0.1.1 | Analysis via Simulation of Interrupted Time Series (ITS) Data | Luke Miratrix |
| SimJoint | 0.3.12 | Simulate Joint Distribution | Charlie Wusuo Liu |
| simlandr | 0.3.1 | Simulation-Based Landscape Construction for Dynamical Systems | Jingmeng Cui |
| SIMle | 0.1.0 | Estimation and Inference for General Time Series Regression | Xiucai Ding |
| simmer | 4.4.6.3 | Discrete-Event Simulation for R | Iñaki Ucar |
| simmer.bricks | 0.2.2 | Helper Methods for 'simmer' Trajectories | Iñaki Ucar |
| simmer.plot | 0.1.18 | Plotting Methods for 'simmer' | Iñaki Ucar |
| simMetric | 0.1.1 | Metrics (with Uncertainty) for Simulation Studies that Evaluate
Statistical Methods | Rex Parsons |
| simml | 0.3.0 | Single-Index Models with Multiple-Links | Hyung Park |
| simMP | 0.17.3 | Simulate Somatic Mutations in Cancer Genomes from Mutational
Processes | Nan Zhou |
| simmr | 0.5.1.216 | A Stable Isotope Mixing Model | Emma Govan |
| SIMMS | 1.3.2 | Subnetwork Integration for Multi-Modal Signatures | Syed Haider |
| simMSM | 1.1.42 | Simulation of Event Histories for Multi-State Models | Holger Reulen |
| SimMultiCorrData | 0.2.2 | Simulation of Correlated Data with Multiple Variable Types | Allison Cynthia Fialkowski |
| SimNPH | 0.5.5 | Simulate Non-Proportional Hazards | Tobias Fellinger |
| simode | 1.2.2 | Statistical Inference for Systems of Ordinary Differential
Equations using Separable Integral-Matching | Rami Yaari |
| simodels | 0.0.5 | Flexible Framework for Developing Spatial Interaction Models | Robin Lovelace |
| simPH | 1.3.13 | Simulate and Plot Estimates from Cox Proportional Hazards Models | Christopher Gandrud |
| simphony | 1.0.3 | Simulating Large-Scale, Rhythmic Data | Jake Hughey |
| simplace | 5.0.13 | Interface to Use the Modelling Framework 'SIMPLACE' | Gunther Krauss |
| simplanonym | 0.1.0 | Consistent Anonymisation Across Datasets | Douglas Kiarelly Godoy de Araujo |
| SIMPLE.REGRESSION | 0.1.6 | Multiple Regression and Moderated Regression Made Simple | Brian P. O'Connor |
| simpleboot | 1.1-7 | Simple Bootstrap Routines | Roger D. Peng |
| simpleCache | 0.4.2 | Simply Caching R Objects | Nathan Sheffield |
| simplecolors | 0.1.2 | Access Color Names Using a Standardized Nomenclature | Jake Riley |
| simpleFDR | 1.1 | Simple False Discovery Rate Calculation | Stephen Wisser |
| simplegraph | 1.0.1 | Simple Graph Data Types and Basic Algorithms | Gabor Csardi |
| simplegraphdb | 2021.03.10 | A Simple Graph Database | Michael Silva |
| simpleMH | 0.1.1 | Simple Metropolis-Hastings MCMC Algorithm | Hugo Gruson |
| simpleMLP | 1.0.0 | Simple Multilayer Perceptron Neural Network | Cullen Pu |
| simpleNeural | 0.1.3 | An Easy to Use Multilayer Perceptron | David Dernoncourt |
| simplePHENOTYPES | 1.3.0 | Simulation of Pleiotropic, Linked and Epistatic Phenotypes | Samuel Fernandes |
| simpleRCache | 0.3.3 | Simple R Cache | Augustin Luna |
| simplermarkdown | 0.0.6 | Simple Engine for Generating Reports using R | Jan van der Laan |
| simpleSetup | 0.1.0 | Set Up R Source Code Files for Use on Multiple Machines | Christopher Gandrud |
| simplexreg | 1.3 | Regression Analysis of Proportional Data Using Simplex
Distribution | Peng Zhang |
| simplextree | 1.0.1 | Provides Tools for Working with General Simplicial Complexes | Matt Piekenbrock |
| SimplicialCubature | 1.3 | Integration of Functions Over Simplices | John P. Nolan |
| simplifyNet | 0.0.1 | Network Sparsification | Alexander Mercier |
| SimplifyStats | 2.0.4 | Simplifies Pairwise Statistical Analyses | Zachary Colburn |
| SimplyAgree | 0.2.0 | Flexible and Robust Agreement and Reliability Analyses | Aaron Caldwell |
| SIMplyBee | 0.3.0 | 'AlphaSimR' Extension for Simulating Honeybee Populations and
Breeding Programmes | Jana Obšteter |
| simPop | 2.1.3 | Simulation of Complex Synthetic Data Information | Matthias Templ |
| simpr | 0.2.6 | Flexible 'Tidyverse'-Friendly Simulations | Ethan Brown |
| simputation | 0.2.8 | Simple Imputation | Mark van der Loo |
| simr | 1.0.7 | Power Analysis for Generalised Linear Mixed Models by Simulation | Peter Green |
| simrec | 1.0.1 | Simulation of Recurrent Event Data for Non-Constant Baseline
Hazard | Federico Marini |
| SimReg | 3.4 | Similarity Regression | Daniel Greene |
| simrel | 2.1.0 | Simulation of Multivariate Linear Model Data | Raju Rimal |
| simRestore | 1.1.4 | Simulate the Effect of Management Policies on Restoration
Efforts | Thijs Janzen |
| SiMRiv | 1.0.6 | Simulating Multistate Movements in River/Heterogeneous
Landscapes | Miguel Porto |
| sims | 0.0.3 | Simulate Data from R or 'JAGS' Code | Joe Thorley |
| simsalapar | 1.0-12 | Tools for Simulation Studies in Parallel | Marius Hofert |
| simsem | 0.5-16 | SIMulated Structural Equation Modeling | Terrence D. Jorgensen |
| SimSeq | 1.4.0 | Nonparametric Simulation of RNA-Seq Data | Samuel Benidt |
| simsl | 0.2.1 | Single-Index Models with a Surface-Link | Hyung Park |
| SimSST | 0.0.5.2 | Simulated Stop Signal Task Data | Chel Hee Lee |
| simstandard | 0.6.3 | Generate Standardized Data | W. Joel Schneider |
| simStateSpace | 1.2.0 | Simulate Data from State Space Models | Ivan Jacob Agaloos Pesigan |
| simstudy | 0.7.1 | Simulation of Study Data | Keith Goldfeld |
| simsurv | 1.0.0 | Simulate Survival Data | Sam Brilleman |
| SimSurvey | 0.1.6 | Test Surveys by Simulating Spatially-Correlated Populations | Paul Regular |
| SimSurvNMarker | 0.1.3 | Simulate Survival Time and Markers | Benjamin Christoffersen |
| simTargetCov | 1.0.1 | Data Transformation or Simulation with Empirical Covariance
Matrix | Anthony Christidis |
| simtimer | 4.0.0 | Datetimes as Integers for Discrete-Event Simulations | Adrian Staempfli |
| SimTimeVar | 1.0.0 | Simulate Longitudinal Dataset with Time-Varying Correlated
Covariates | Maya B. Mathur |
| simTool | 1.1.7 | Conduct Simulation Studies with a Minimal Amount of Source Code | Marsel Scheer |
| simtrait | 1.1.3 | Simulate Complex Traits from Genotypes | Alejandro Ochoa |
| simtrial | 0.3.2 | Clinical Trial Simulation | Yujie Zhao |
| simts | 0.2.2 | Time Series Analysis Tools | Stéphane Guerrier |
| simuclustfactor | 0.0.3 | Simultaneous Clustering and Factorial Decomposition of Three-Way
Datasets | Prosper Ablordeppey |
| simukde | 1.3.0 | Simulation with Kernel Density Estimation | MAKHGAL Ganbold |
| simulariatools | 2.5.1 | Simularia Tools for the Analysis of Air Pollution Data | Giuseppe Carlino |
| simulator | 0.2.5 | An Engine for Running Simulations | Jacob Bien |
| simule | 1.3.0 | A Constrained L1 Minimization Approach for Estimating Multiple
Sparse Gaussian or Nonparanormal Graphical Models | Beilun Wang |
| simulMGF | 0.1.1 | Simulate SNP Matrix, Phenotype and Genotypic Effects | Martin Nahuel Garcia |
| SimVitD | 1.0.3 | Simulation Tools for Planning Vitamin D Studies | Jason Wyse |
| sinaplot | 1.1.0 | An Enhanced Chart for Simple and Truthful Representation of
Single Observations over Multiple Classes | Nikos Sidiropoulos |
| sinar | 0.1.0 | Conditional Least Squared (CLS) Method for the Model SINAR(1,1) | Gilberto P. Sassi |
| sindyr | 0.2.3 | Sparse Identification of Nonlinear Dynamics | Rick Dale |
| sinew | 0.4.0 | Package Development Documentation and Namespace Management | Jonathan Sidi |
| singcar | 0.1.5 | Comparing Single Cases to Small Samples | Jonathan Rittmo |
| SingleCaseES | 0.7.2 | A Calculator for Single-Case Effect Sizes | James E. Pustejovsky |
| singleCellHaystack | 1.0.2 | A Universal Differential Expression Prediction Tool for
Single-Cell and Spatial Genomics Data | Alexis Vandenbon |
| singleRcapture | 0.2.1.1 | Single-Source Capture-Recapture Models | Piotr Chlebicki |
| singR | 0.1.2 | Simultaneous Non-Gaussian Component Analysis | Liangkang Wang |
| sinib | 1.0.0 | Sum of Independent Non-Identical Binomial Random Variables | Boxiang Liu |
| SINRELEF.LD | 1.0.4 | Reliability and Relative Efficiency in Locally-Dependent
Measures | David Navarro-Gonzalez |
| SIPDIBGE | 0.2.1 | Collection of Household Survey Packages Conducted by IBGE | Gabriel Assuncao |
| SIPETool | 0.1.0 | SIFT-MS and CPET Data Processor | Federico Vivaldi |
| SiPhyNetwork | 1.1.0 | A Phylogenetic Simulator for Reticulate Evolution | Joshua Justison |
| siplab | 1.6 | Spatial Individual-Plant Modelling | Oscar Garcia |
| SIPmg | 1.4.1 | Statistical Analysis to Identify Isotope Incorporating MAGs | Pranav Sampara |
| siqr | 0.8.1 | An R Package for Single-Index Quantile Regression | Tianhai Zu |
| sirad | 2.3-3 | Functions for Calculating Daily Solar Radiation and
Evapotranspiration | Jedrzej S. Bojanowski |
| SIRE | 1.1.0 | Finding Feedback Effects in SEM and Testing for Their
Significance | Gianmarco Vacca |
| siren | 1.0.4 | Hybrid FA-CFA for Controlling Acquiescence in Restricted
Factorial Solutions | David Navarro-Gonzalez |
| SIRmcmc | 1.1.1 | Compartmental Susceptible-Infectious-Recovered (SIR) Model of
Community and Household Infection | F Scott Dahlgren |
| sirt | 4.1-15 | Supplementary Item Response Theory Models | Alexander Robitzsch |
| SIRthresholded | 1.0.2 | Sliced Inverse Regression with Thresholding | Clement Weinreich |
| sirus | 0.3.3 | Stable and Interpretable RUle Set | Clement Benard |
| SIS | 0.8-8 | Sure Independence Screening | Yang Feng |
| sisal | 0.48 | Sequential Input Selection Algorithm | Mikko Korpela |
| SISIR | 0.2.2 | Select Intervals Suited for Functional Regression | Nathalie Vialaneix |
| sisireg | 1.1.1 | Sign-Simplicity-Regression-Solver | Lars Metzner |
| sistec | 0.2.0 | Tools to Analyze 'Sistec' Datasets | Samuel Macêdo |
| sistmr | 0.1.1 | A Collection of Utility Function from the Inserm/Inria SISTM
Team | Mélanie Huchon |
| sisVIVE | 1.4 | Some Invalid Some Valid Instrumental Variables Estimator | Hyunseung Kang |
| SIT | 0.1.0 | Association Measurement Through Sliced Independence Test (SIT) | Canyi Chen |
| sitar | 1.4.0 | Super Imposition by Translation and Rotation Growth Curve
Analysis | Tim Cole |
| sitepickR | 0.0.1 | Two-Level Sample Selection with Optimal Site Replacement | Elena Badillo-Goicoechea |
| siteymlgen | 1.0.0 | Automatically Generate _site.yml File for 'R Markdown' | Adam Cribbs |
| SITH | 1.1.0 | A Spatial Model of Intra-Tumor Heterogeneity | Phillip B. Nicol |
| sitmo | 2.0.2 | Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header
Files | James Balamuta |
| sitools | 1.4 | Format a number to a string with SI prefix | Jonas Stein |
| sitree | 0.1-14 | Single Tree Simulator | Clara Anton Fernandez |
| sitreeE | 0.0-8 | Sitree Extensions | Clara Anton Fernandez |
| sits | 1.4.2-1 | Satellite Image Time Series Analysis for Earth Observation Data
Cubes | Gilberto Camara |
| sivs | 0.2.10 | Stable Iterative Variable Selection | Mehrad Mahmoudian |
| SixSigma | 0.11.1 | Six Sigma Tools for Quality Control and Improvement | Emilio L. Cano |
| SizeEstimation | 1.1.1 | Estimating the Sizes of Populations at Risk of HIV Infection
from Multiple Data Sources Using a Bayesian Hierarchical Model | Kyongwon Kim |
| sizeMat | 1.1.2 | Estimate Size at Sexual Maturity | Josymar Torrejon-Magallanes |
| SiZer | 0.1-8 | Significant Zero Crossings | Derek Sonderegger |
| sjdbc | 1.6.1 | JDBC Driver Interface | Joe Roberts |
| sjlabelled | 1.2.0 | Labelled Data Utility Functions | Daniel Lüdecke |
| sjmisc | 2.8.9 | Data and Variable Transformation Functions | Daniel Lüdecke |
| sjPlot | 2.8.15 | Data Visualization for Statistics in Social Science | Daniel Lüdecke |
| sjSDM | 1.0.5 | Scalable Joint Species Distribution Modeling | Maximilian Pichler |
| sjstats | 0.18.2 | Collection of Convenient Functions for Common Statistical
Computations | Daniel Lüdecke |
| sjtable2df | 0.0.3 | Convert 'sjPlot' HTML-Tables to R 'data.frame' | Lorenz A. Kapsner |
| SK4FGA | 0.1.1 | Scott-Knott for Forensic Glass Analysis | Toby Hayward |
| SKAT | 2.2.5 | SNP-Set (Sequence) Kernel Association Test | Seunggeun (Shawn) Lee |
| skater | 0.1.2 | Utilities for SNP-Based Kinship Analysis | Stephen Turner |
| skedastic | 2.0.2 | Handling Heteroskedasticity in the Linear Regression Model | Thomas Farrar |
| skeletor | 1.0.4 | An R Package Skeleton Generator | Neal Richardson |
| skellam | 0.2.3 | Densities and Sampling for the Skellam Distribution | Patrick E. Brown |
| sketch | 1.1.20.3 | Interactive Sketches | Chun Fung Kwok |
| sketcher | 0.1.3 | Pencil Sketch Effect | Hiroyuki Tsuda |
| sketching | 0.1.2 | Sketching of Data via Random Subspace Embeddings | Sokbae Lee |
| sketchy | 1.0.2 | Create Custom Research Compendiums | Marcelo Araya-Salas |
| SkewHyperbolic | 0.4-2 | The Skew Hyperbolic Student t-Distribution | David Scott |
| skewlmm | 1.1.0 | Scale Mixture of Skew-Normal Linear Mixed Models | Fernanda L. Schumacher |
| skewMLRM | 1.6 | Estimation for Scale-Shape Mixtures of Skew-Normal Distributions | Diego Gallardo |
| skewsamp | 1.0.0 | Estimate Sample Sizes for Group Comparisons with Skewed
Distributions | Johannes Brachem |
| skewt | 1.0 | The Skewed Student-t Distribution | Robert King |
| SKFCPD | 0.2.4 | Fast Online Changepoint Detection for Temporally Correlated Data | Hanmo Li |
| Skillings.Mack | 1.10 | The Skillings-Mack Test Statistic for Block Designs with Missing
Observations | Patchanok Srisuradetchai |
| skilljaR | 0.1.2 | Connect to Your 'Skilljar' Data | Chris Umphlett |
| skimr | 2.1.5 | Compact and Flexible Summaries of Data | Elin Waring |
| sklarsomega | 3.0-2 | Measuring Agreement Using Sklar's Omega Coefficient | John Hughes |
| skm | 0.1.5.4 | Selective k-Means | Guang Yang |
| skmeans | 0.2-16 | Spherical k-Means Clustering | Kurt Hornik |
| SKNN | 3.1 | A Super K-Nearest Neighbor (SKNN) Classification Algorithm | Yi Ya |
| skpr | 1.7.1 | Design of Experiments Suite: Generate and Evaluate Optimal
Designs | Tyler Morgan-Wall |
| skylight | 1.2 | A Simple Sky Illuminance Model | Koen Hufkens |
| skynet | 1.4.3 | Generates Networks from BTS Data | Filipe Teixeira |
| skyscapeR | 1.0.0 | Data Analysis and Visualization for Skyscape Archaeology | Silva Fabio |
| slackr | 3.3.1 | Send Messages, Images, R Objects and Files to 'Slack'
Channels/Users | Matt Kaye |
| slam | 0.1-50 | Sparse Lightweight Arrays and Matrices | Kurt Hornik |
| slanter | 0.2-0 | Slanted Matrices and Ordered Clustering | Oren Ben-Kiki |
| SlaPMEG | 1.0.1 | Pathway Testing for Longitudinal Omics | Mitra Ebrahimpoor |
| slasso | 1.0.0 | S-LASSO Estimator for the Function-on-Function Linear Regression | Fabio Centofanti |
| SLBDD | 0.0.4 | Statistical Learning for Big Dependent Data | Antonio Elias |
| SLCARE | 1.1.0 | Semiparametric Latent Class Analysis of Recurrent Events | Qi Yu |
| slcm | 0.1.0 | Sparse Latent Class Model for Cognitive Diagnosis | James Joseph Balamuta |
| sld | 1.0.1 | Estimation and Use of the Quantile-Based Skew Logistic
Distribution | Robert King |
| SLDAssay | 1.8 | Software for Analyzing Limiting Dilution Assays | Ilana Trumble |
| sleekts | 1.0.2 | 4253H, Twice Smoothing | Muntashir-Al-Arefin |
| SleepCycles | 1.1.4 | Sleep Cycle Detection | Christine Blume |
| sleeperapi | 1.0.4 | Wrapper Functions Around 'Sleeper' (Fantasy Sports) API | Nick Bultman |
| sleepr | 0.3.0 | Analyse Activity and Sleep Behaviour | Quentin Geissmann |
| sleepwalk | 0.3.2 | Interactively Explore Dimension-Reduced Embeddings | Svetlana Ovchinnikova |
| sleev | 1.0.3 | Semiparametric Likelihood Estimation with Errors in Variables | Ran Tao |
| SLEMI | 1.0.2 | Statistical Learning Based Estimation of Mutual Information | Tomasz Jetka |
| slendr | 0.9.1 | A Simulation Framework for Spatiotemporal Population Genetics | Martin Petr |
| Sleuth2 | 2.0-7 | Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd
Ed)" | Berwin A Turlach |
| Sleuth3 | 1.0-6 | Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd
Ed)" | Berwin A Turlach |
| slfm | 1.0.2 | Fitting a Bayesian Sparse Latent Factor Model in Gene Expression
Analysis | Vinicius Mayrink |
| SLFPCA | 3.0 | Sparse Logistic Functional Principal Component Analysis | Rou Zhong |
| slgf | 2.0.0 | Bayesian Model Selection with Suspected Latent Grouping Factors | Thomas Metzger |
| SLHD | 2.1-1 | Maximin-Distance (Sliced) Latin Hypercube Designs | Shan Ba |
| SlicedLHD | 1.0 | Sliced Latin Hypercube Designs | Baidya Nath Mandal |
| slickR | 0.6.0 | Create Interactive Carousels with the 'JavaScript' 'Slick'
Library | Jonathan Sidi |
| SLIDE | 1.0.0 | Single Cell Linkage by Distance Estimation is SLIDE | Arjun Panda |
| slider | 0.3.1 | Sliding Window Functions | Davis Vaughan |
| slideview | 0.2.0 | Compare Raster Images Side by Side with a Slider | Tim Appelhans |
| SlidingWindows | 0.2.0 | Methods for Time Series Analysis | Everaldo Freitas Guedes |
| slim | 0.1.1 | Singular Linear Models for Longitudinal Data | Daniel Farewell |
| slimrec | 0.1.0 | Sparse Linear Method to Predict Ratings and Top-N
Recommendations | Srikanth KS |
| slippymath | 0.3.1 | Slippy Map Tile Tools | Miles McBain |
| slm | 1.2.0 | Stationary Linear Models | Emmanuel Caron |
| SLModels | 0.1.2 | Stepwise Linear Models for Binary Classification Problems under
Youden Index Optimisation | Rocio Aznar-Gimeno |
| sloop | 1.0.1 | Helpers for 'OOP' in R | Hadley Wickham |
| SLOPE | 0.5.0 | Sorted L1 Penalized Estimation | Johan Larsson |
| slopeOP | 1.0.1 | Change-in-Slope OP Algorithm with a Finite Number of States | Vincent Runge |
| slouch | 2.1.5 | Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses | Bjørn Tore Kopperud |
| slowraker | 0.1.1 | A Slow Version of the Rapid Automatic Keyword Extraction (RAKE)
Algorithm | Christopher Baker |
| slp | 1.0-5 | Discrete Prolate Spheroidal (Slepian) Sequence Regression
Smoothers | Wesley Burr |
| SLPresElection | 1.0.0 | Presidential Election Data of "Sri Lanka" from 1982 to 2015 | Amalan Mahendran |
| slr | 1.3.0 | Semi-Latin Rectangles | Baidya Nath Mandal |
| SLTCA | 0.1.0 | Scalable and Robust Latent Trajectory Class Analysis | Teng Fei |
| slurmR | 0.5-4 | A Lightweight Wrapper for 'Slurm' | George Vega Yon |
| sm | 2.2-6.0 | Smoothing Methods for Nonparametric Regression and Density
Estimation | Adrian Bowman |
| smaa | 0.3-2 | Stochastic Multi-Criteria Acceptability Analysis | Gert van Valkenhoef |
| smacof | 2.1-6 | Multidimensional Scaling | Patrick Mair |
| smacofx | 0.6-6 | Flexible Multidimensional Scaling and 'smacof' Extensions | Thomas Rusch |
| smacpod | 2.6 | Statistical Methods for the Analysis of Case-Control Point Data | Joshua French |
| smallarea | 0.1 | Fits a Fay Herriot Model | Abhishek Nandy |
| SmallCountRounding | 1.0.3 | Small Count Rounding of Tabular Data | Øyvind Langsrud |
| smallsets | 2.0.0 | Visual Documentation for Data Preprocessing | Lydia R. Lucchesi |
| smallstuff | 1.0.3 | Dr. Small's Functions | Ellie Small |
| smam | 0.7.2 | Statistical Modeling of Animal Movements | Chaoran Hu |
| SMARTbayesR | 2.0.0 | Bayesian Set of Best Dynamic Treatment Regimes and Sample Size
in SMARTs for Binary Outcomes | William Artman |
| smartDesign | 0.74 | Sequential Multiple Assignment Randomized Trial Design | Jason Sinnwell |
| SmartEDA | 0.3.10 | Summarize and Explore the Data | Dayanand Ubrangala |
| SmarterPoland | 1.8.1 | Tools for Accessing Various Datasets Developed by the Foundation
SmarterPoland.pl | Przemyslaw Biecek |
| smartmap | 0.1.1 | Smartly Create Maps from R Objects | Stefan Fleck |
| SmartMeterAnalytics | 1.0.3 | Methods for Smart Meter Data Analysis | Konstantin Hopf |
| SMARTp | 0.1.1 | Sample Size for SMART Designs in Non-Surgical Periodontal Trials | Dipankar Bandyopadhyay |
| smartsheetr | 0.1.0 | Access and Write 'Smartsheet' Data using the 'Smartsheet' API
2.0 | Cole Johanson |
| smartsizer | 1.0.3 | Power Analysis for a SMART Design | William Artman |
| smartsnp | 1.1.0 | Fast Multivariate Analyses of Big Genomic Data | Christian Huber |
| SmartSVA | 0.1.3 | Fast and Robust Surrogate Variable Analysis | Jun Chen |
| smatr | 3.4-8 | (Standardised) Major Axis Estimation and Testing Routines | Remko Duursma |
| smbinning | 0.9 | Scoring Modeling and Optimal Binning | Herman Jopia |
| SmCCNet | 2.0.2 | Sparse Multiple Canonical Correlation Network Analysis Tool | Weixuan Liu |
| smcfcs | 1.7.1 | Multiple Imputation of Covariates by Substantive Model
Compatible Fully Conditional Specification | Jonathan Bartlett |
| SMCRM | 0.0-3 | Data Sets for Statistical Methods in Customer Relationship
Management by Kumar and Petersen (2012). | Tobias Verbeke |
| smcryptoR | 0.1.2 | ShangMi(SM) Cryptographic Algorithms(SM2/SM3/SM4) | Meng Yu <610074 at gmail.com> |
| smcure | 2.1 | Fit Semiparametric Mixture Cure Models | Chao Cai |
| smd | 0.6.7 | Compute Standardized Mean Differences | Bradley Saul |
| smdata | 1.2 | Data to Accompany Smithson & Merkle, 2013 | Ed Merkle |
| smdi | 0.2.2 | Perform Structural Missing Data Investigations | Janick Weberpals |
| SMDIC | 0.1.5 | Identification of Somatic Mutation-Driven Immune Cells | Junwei Han |
| smdocker | 0.1.4 | Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon
Web Service CodeBuild' | Dyfan Jones |
| smerc | 1.8.3 | Statistical Methods for Regional Counts | Joshua French |
| smetlite | 0.2.10 | Read and Write SMET Files | Reinhold Koch |
| SMFilter | 1.0.3 | Filtering Algorithms for the State Space Models on the Stiefel
Manifold | Yukai Yang |
| smfishHmrf | 0.1 | Hidden Markov Random Field for Spatial Transcriptomic Data | Qian Zhu |
| smfsb | 1.5 | Stochastic Modelling for Systems Biology | Darren Wilkinson |
| smicd | 1.1.3 | Statistical Methods for Interval-Censored Data | Paul Walter |
| smidm | 1.0 | Statistical Modelling for Infectious Disease Management | Sonja Jäckle |
| smirnov | 1.0-1 | Provides two taxonomic coefficients from E. S. Smirnov
"Taxonomic analysis" (1969) book | Alexey Shipunov |
| SMITIDstruct | 0.0.5 | Data Structure and Manipulations Tool for Host and Viral
Population | Jean-Francois Rey |
| SMITIDvisu | 0.0.9 | Visualize Data for Host and Viral Population from 'SMITIDstruct'
using 'HTMLwidgets' | Jean-Francois Rey |
| SMLE | 2.1-1 | Joint Feature Screening via Sparse MLE | Qianxiang Zang |
| smlmkalman | 0.1.1 | Generation and Tracking of Super-Resolution Filamentous Datasets | Andrew Buist |
| SMLoutliers | 0.1 | Outlier Detection Using Statistical and Machine Learning Methods | Siddharth Jain |
| SMM | 1.0.2 | Simulation and Estimation of Multi-State Discrete-Time
Semi-Markov and Markov Models | Nicolas Vergne |
| SMMA | 1.0.3 | Soft Maximin Estimation for Large Scale Array-Tensor Models | Adam Lund |
| SMME | 1.1.1 | Soft Maximin Estimation for Large Scale Heterogeneous Data | Adam Lund |
| smmR | 1.0.3 | Simulation, Estimation and Reliability of Semi-Markov Models | Nicolas Vergne |
| SMMT | 1.1.0 | The Swiss Municipal Data Merger Tool Maps Municipalities Over
Time | Valentin Knechtl |
| SMNCensReg | 3.1 | Fitting Univariate Censored Regression Model Under the Family of
Scale Mixture of Normal Distributions | Aldo M. Garay |
| smof | 1.1.0 | Scoring Methodology for Ordered Factors | Adelchi Azzalini |
| smoke | 2.0.1 | Small Molecule Octet/BLI Kinetics Experiment | Qingan Sun |
| smoof | 1.6.0.3 | Single and Multi-Objective Optimization Test Functions | Jakob Bossek |
| smooth | 4.0.1 | Forecasting Using State Space Models | Ivan Svetunkov |
| smoothAPC | 0.3 | Smoothing of Two-Dimensional Demographic Data, Optionally Taking
into Account Period and Cohort Effects | Alexander Dokumentov |
| smoothedLasso | 1.6 | A Framework to Smooth L1 Penalized Regression Operators using
Nesterov Smoothing | Georg Hahn |
| smoother | 1.3 | Functions Relating to the Smoothing of Numerical Data | Nicholas Hamilton |
| smoothHR | 1.0.5 | Smooth Hazard Ratio Curves Taking a Reference Value | Artur Araujo |
| smoothic | 1.2.0 | Variable Selection Using a Smooth Information Criterion | Meadhbh O'Neill |
| smoothie | 1.0-3 | Two-Dimensional Field Smoothing | Eric Gilleland |
| smoothmest | 0.1-3 | Smoothed M-Estimators for 1-Dimensional Location | Christian Hennig |
| smoothr | 1.0.1 | Smooth and Tidy Spatial Features | Matthew Strimas-Mackey |
| smoothROCtime | 0.1.0 | Smooth Time-Dependent ROC Curve Estimation | Susana Diaz-Coto |
| smoothSurv | 2.6 | Survival Regression with Smoothed Error Distribution | Arnošt Komárek |
| smoothtail | 2.0.5 | Smooth Estimation of GPD Shape Parameter | Kaspar Rufibach |
| SmoothTensor | 0.1.1 | A Collection of Smooth Tensor Estimation Methods | Chanwoo Lee |
| SmoothWin | 3.0.0 | Soft Windowing on Linear Regression | Hamed Haselimashhadi |
| smoothy | 1.0.0 | Automatic Estimation of the Most Likely Drug Combination using
Smooth Algorithm | Dan Ouchi |
| smoots | 1.1.4 | Nonparametric Estimation of the Trend and Its Derivatives in TS | Dominik Schulz |
| smosr | 1.0.1 | Acquire and Explore BEC-SMOS L4 Soil Moisture Data in R | Tatiana A. Shestakova |
| smotefamily | 1.4.0 | A Collection of Oversampling Techniques for Class Imbalance
Problem Based on SMOTE | Wacharasak Siriseriwan |
| SMOTEWB | 1.2.0 | Imbalanced Resampling using SMOTE with Boosting (SMOTEWB) | Fatih Saglam |
| smovie | 1.1.6 | Some Movies to Illustrate Concepts in Statistics | Paul J. Northrop |
| smpic | 0.1.0 | Creates Images Sized for Social Media | Mikkel Freltoft Krogsholm |
| SMPracticals | 1.4-3.1 | Practicals for Use with Davison (2003) Statistical Models | Alessandra R. Brazzale |
| SMR | 2.1.0 | Externally Studentized Midrange Distribution | Daniel Furtado Ferreira |
| sms | 2.3.1 | Spatial Microsimulation | Dimitris Kavroudakis |
| sMSROC | 0.1.2 | Assessment of Diagnostic and Prognostic Markers | Susana Diaz-Coto |
| smss | 1.0-2 | Datasets for Agresti and Finlay's "Statistical Methods for the
Social Sciences" | Jeffrey B. Arnold |
| sMTL | 0.1.0 | Sparse Multi-Task Learning | Gabriel Loewinger |
| smurf | 1.1.5 | Sparse Multi-Type Regularized Feature Modeling | Tom Reynkens |
| SMUT | 1.1 | Multi-SNP Mediation Intersection-Union Test | Wujuan Zhong |
| SMVar | 1.3.4 | Structural Model for Variances | Samuel Blanck |
| smvgraph | 0.1.2 | Various Multivariate Graphics with Variable Choice in Shiny Apps | Sigbert Klinke |
| sn | 2.1.1 | The Skew-Normal and Related Distributions Such as the Skew-t and
the SUN | Adelchi Azzalini |
| sna | 2.7-2 | Tools for Social Network Analysis | Carter T. Butts |
| snahelper | 1.4.2 | 'RStudio' Addin for Network Analysis and Visualization | David Schoch |
| Snake | 1.0 | Game of Snake | Carsten Croonenbroeck |
| snakecase | 0.11.1 | Convert Strings into any Case | Malte Grosser |
| SnakesAndLaddersAnalysis | 2.1.0 | Play and Analyse the Game of Snakes and Ladders | Hector Haffenden |
| snap | 1.1.0 | Simple Neural Application | Giancarlo Vercellino |
| snapchatadsR | 0.1.0 | Get Snapchat Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| snapKrig | 0.0.2 | Fast Kriging and Geostatistics on Grids with Kronecker
Covariance | Dean Koch |
| snapshot | 0.1.2 | Gadget N-body cosmological simulation code snapshot I/O
utilities | Aaron Robotham |
| SNBdata | 0.2.1 | Download Data from the Swiss National Bank (SNB) | Enrico Schumann |
| snem | 0.1.1 | EM Algorithm for Multivariate Skew-Normal Distribution with
Overparametrization | Takayuki Kawashima |
| snfa | 0.0.1 | Smooth Non-Parametric Frontier Analysis | Taylor McKenzie |
| SNFtool | 2.3.1 | Similarity Network Fusion | Benjamin Brew |
| snha | 0.1.3 | Creating Correlation Networks using St. Nicolas House Analysis | Detlef Groth |
| snn | 1.1 | Stabilized Nearest Neighbor Classifier | Wei Sun |
| snotelr | 1.2 | Calculate and Visualize 'SNOTEL' Snow Data and Seasonality | Koen Hufkens |
| snow | 0.4-4 | Simple Network of Workstations | Luke Tierney |
| SnowballC | 0.7.1 | Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library | Milan Bouchet-Valat |
| snowboot | 1.0.2 | Bootstrap Methods for Network Inference | Vyacheslav Lyubchich |
| snowfall | 1.84-6.3 | Easier Cluster Computing (Based on 'snow') | Jochen Knaus |
| snowflakes | 1.0.0 | Random Snowflake Generator | Svetlana Eden |
| snowFT | 1.6-1 | Fault Tolerant Simple Network of Workstations | Hana Sevcikova |
| snowquery | 1.0.0 | Query 'Snowflake' Databases with 'SQL' | Dani Mermelstein |
| snpAIMeR | 2.1.1 | Assess the Diagnostic Power of Genomic Marker Combinations | Kim Vertacnik |
| SNPannotator | 0.2.6.0 | Investigating the Functional Characteristics of Selected SNPs
and Their Vicinity Genomic Region | Alireza Ani |
| SNPassoc | 2.1-0 | SNPs-Based Whole Genome Association Studies | Dolors Pelegri |
| SNPfiltR | 1.0.1 | Interactively Filter SNP Datasets | Devon DeRaad |
| SNPknock | 0.8.2 | Knockoffs for Hidden Markov Models and Genetic Data | Matteo Sesia |
| snplinkage | 1.0.0 | Single Nucleotide Polymorphisms Linkage Disequilibrium
Visualizations | Thomas Charlon |
| snplist | 0.18.2 | Tools to Create Gene Sets | Alexander Sibley |
| sNPLS | 1.0.27 | NPLS Regression with L1 Penalization | David Hervas |
| snpReady | 0.9.6 | Preparing Genotypic Datasets in Order to Run Genomic Analysis | Italo Granato |
| snpsettest | 0.1.2 | A Set-Based Association Test using GWAS Summary Statistics | Jaehyun Joo |
| sns | 1.2.2 | Stochastic Newton Sampler (SNS) | Alireza Mahani |
| SNSchart | 1.4.0 | Sequential Normal Scores in Statistical Process Management | Luis Benavides |
| SNSeg | 1.0.2 | Self-Normalization(SN) Based Change-Point Estimation for Time
Series | Zifeng Zhao |
| SNSequate | 1.3-4 | Standard and Nonstandard Statistical Models and Methods for Test
Equating | Jorge Gonzalez |
| SNSFdatasets | 0.1.1 | Download Datasets from the Swiss National Science Foundation
(SNF, FNS, SNSF) | Enrico Schumann |
| snSMART | 0.2.3 | Small N Sequential Multiple Assignment Randomized Trial Methods | Michael Kleinsasser |
| SNVLFDR | 1.0.1 | Empirical Bayes Single Nucleotide Variant Calling | Ali Karimnezhad |
| SOAR | 0.99-11 | Memory management in R by delayed assignments | Bill Venables |
| SOAs | 1.4 | Creation of Stratum Orthogonal Arrays | Ulrike Groemping |
| sobolnp | 0.1.0 | Nonparametric Sobol Estimator with Bootstrap Bandwidth | Maikol Solís |
| SobolSequence | 1.0 | Sobol Sequences with Better Two-Dimensional Projections | Mutsuo Saito |
| soc.ca | 0.8.0 | Specific Correspondence Analysis for the Social Sciences | Anton Grau Larsen |
| socceR | 0.1.1 | Evaluating Sport Tournament Predictions | Claus Thorn Ekstrøm |
| social | 1.0 | Social Autocorrelation | Tom Pike |
| socialh | 0.1.1 | Rank and Social Hierarchy for Gregarious Animals | Julia de Paula Soares Valente |
| socialmixr | 0.3.1 | Social Mixing Matrices for Infectious Disease Modelling | Sebastian Funk |
| socialranking | 1.1.0 | Social Ranking Solutions for Power Relations on Coalitions | Felix Fritz |
| socialrisk | 0.5.1 | Identifying Patient Social Risk from Administrative Health Care
Data | Wyatt Bensken |
| sociome | 2.2.5 | Operationalizing Social Determinants of Health Data for
Researchers | Nik Krieger |
| socviz | 1.2 | Utility Functions and Data Sets for Data Visualization | Kieran Healy |
| sodavis | 1.2 | SODA: Main and Interaction Effects Selection for Logistic
Regression, Quadratic Discriminant and General Index Models | Yang Li |
| sodium | 1.3.1 | A Modern and Easy-to-Use Crypto Library | Jeroen Ooms |
| sofa | 0.4.0 | Connector to 'CouchDB' | Scott Chamberlain |
| Sofi | 0.16.4.8 | Interfaz interactiva con fines didacticos | Jose D. Loera |
| SOFIA | 1.0 | Making Sophisticated and Aesthetical Figures in R | Luis Diaz-Garcia |
| SoftBart | 1.0.1 | Implements the SoftBart Algorithm | Antonio R. Linero |
| softbib | 0.0.2 | Software Bibliographies for R Projects | Vincent Arel-Bundock |
| softclassval | 1.0-20160527 | Soft Classification Performance Measures | C. Beleites |
| SoftClustering | 2.1.3 | Soft Clustering Algorithms | G. Peters |
| softImpute | 1.4-1 | Matrix Completion via Iterative Soft-Thresholded SVD | Trevor Hastie |
| SOHPIE | 1.0.6 | Statistical Approach via Pseudo-Value Information and Estimation | Seungjun Ahn |
| SOIL | 1.1 | Sparsity Oriented Importance Learning | Yi Yang |
| soilassessment | 0.2.6 | Assessment Models for Agriculture Soil Conditions and Crop
Suitability | Christian Thine Omuto |
| soilchemistry | 0.1.0 | Computation of Properties Related to Soil Chemical Environment
and Nutrient Availability | Bappa Das |
| soilDB | 2.8.1 | Soil Database Interface | Andrew Brown |
| soilfoodwebs | 1.0.2 | Soil Food Web Analysis | Robert Buchkowski |
| SoilHyP | 0.1.7 | Soil Hydraulic Properties | Ullrich Dettmann |
| soilhypfit | 0.1-7 | Modelling of Soil Water Retention and Hydraulic Conductivity
Data | Andreas Papritz |
| soilphysics | 5.0 | Soil Physical Analysis | Anderson Rodrigo da Silva |
| SoilR | 1.2.107 | Models of Soil Organic Matter Decomposition | Carlos A. Sierra |
| SoilTaxonomy | 0.2.4 | A System of Soil Classification for Making and Interpreting Soil
Surveys | Andrew Brown |
| soiltestcorr | 2.2.0 | Soil Test Correlation and Calibration | Adrian A. Correndo |
| SoilTesting | 0.1.0 | Organic Carbon and Plant Available Nutrient Contents in Soil | Bappa Das |
| soiltexture | 1.5.3 | Functions for Soil Texture Plot, Classification and
Transformation | Julien Moeys |
| soilwater | 1.0.5 | Implementation of Parametric Formulas for Soil Water Retention
or Conductivity Curve | Emanuele Cordano |
| Sojourn.Data | 0.3.0 | Supporting Objects for Sojourn Accelerometer Methods | Paul R. Hibbing |
| sokoban | 0.1.0 | Sokoban Game | Zhaoliang He <1024299329 at qq.com> |
| solaR | 0.46 | Radiation and Photovoltaic Systems | Oscar Perpiñán Lamigueiro |
| solarPos | 1.0 | Solar Position Algorithm for Solar Radiation Applications | Jasper Van doninck |
| solartime | 0.0.2 | Utilities Dealing with Solar Time Such as Sun Position and Time
of Sunrise | Thomas Wutzler |
| solitude | 1.1.3 | An Implementation of Isolation Forest | Komala Sheshachala Srikanth |
| solrad | 1.0.0 | Calculating Solar Radiation and Related Variables Based on
Location, Time and Topographical Conditions | Bijan Seyednasrollah |
| solrium | 1.2.0 | General Purpose R Interface to 'Solr' | Scott Chamberlain |
| solvebio | 2.14.0 | The Official SolveBio API Client | David Caplan |
| SolveSAPHE | 2.1.0 | Solver Suite for Alkalinity-PH Equations | Jean-Marie Epitalon |
| som | 0.3-5.1 | Self-Organizing Map | Jun Yan |
| som.nn | 1.4.4 | Topological k-NN Classifier Based on Self-Organising Maps | Andreas Dominik |
| soma | 1.2.0 | General-Purpose Optimisation with the Self-Organising Migrating
Algorithm | Jon Clayden |
| SomaDataIO | 6.1.0 | Input/Output 'SomaScan' Data | Stu Field |
| SOMbrero | 1.4-2 | SOM Bound to Realize Euclidean and Relational Outputs | Nathalie Vialaneix |
| someMTP | 1.4.1.1 | Some Multiple Testing Procedures | livio finos |
| SOMEnv | 1.1.2 | SOM Algorithm for the Analysis of Multivariate Environmental
Data | Sabina Licen |
| sommer | 4.3.4 | Solving Mixed Model Equations in R | Giovanny Covarrubias-Pazaran |
| somspace | 1.2.4 | Spatial Analysis with Self-Organizing Maps | Yannis Markonis |
| sonar | 1.0.2 | Fundamental Formulas for Sonar | Jose Gama |
| SongEvo | 1.0.0 | An Individual-Based Model of Bird Song Evolution | Raymond Danner |
| sonicLength | 1.4.7 | Estimating Abundance of Clones from DNA Fragmentation Data | Charles Berry |
| sonicscrewdriver | 0.0.6 | Bioacoustic Analysis and Publication Tools | Ed Baker |
| sonify | 0.0-1 | Data Sonification - Turning Data into Sound | Stefan Siegert |
| SOP | 1.0-1 | Generalised Additive P-Spline Regression Models Estimation | Maria Xose Rodriguez-Alvarez |
| SOPC | 0.1.0 | The Sparse Online Principal Component Estimation Algorithm | Guangbao Guo |
| SOPIE | 1.6 | Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar | Willem Daniel Schutte |
| soptdmaeA | 1.0.0 | Sequential Optimal Designs for Two-Colour cDNA Microarray
Experiments | Dibaba Bayisa Gemechu |
| soql | 0.1.1 | Helps Make Socrata Open Data API Calls | "Zeb Burke-Conte" |
| SOR | 0.23.1 | Estimation using Sequential Offsetted Regression | Lee McDaniel |
| sorcering | 1.0.0.1 | Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling
Framework | Marc Scherstjanoi |
| sorocs | 0.1.0 | A Bayesian Semiparametric Approach to Correlated ROC Surfaces | Weimin Zhang |
| SorptionAnalysis | 0.1.0 | Static Adsorption Experiment Plotting and Analysis | Aurnov Chattopadhyay |
| sortable | 0.5.0 | Drag-and-Drop in 'shiny' Apps with 'SortableJS' | Andrie de Vries |
| SortedEffects | 1.7.0 | Estimation and Inference Methods for Sorted Causal Effects and
Classification Analysis | Shuowen Chen |
| sorvi | 0.8.21 | Functions for Finnish Open Data | Leo Lahti |
| sos | 2.1-7 | Search Contributed R Packages, Sort by Package | Spencer Graves |
| sotkanet | 0.9.79 | Sotkanet Open Data Access and Analysis | Leo Lahti |
| sotu | 1.0.4 | United States Presidential State of the Union Addresses | Taylor B. Arnold |
| sound | 1.4.6 | A Sound Interface for R | Stefan Langenberg |
| soundClass | 0.0.9.2 | Sound Classification Using Convolutional Neural Networks | Bruno Silva |
| soundcorrs | 0.4.0 | Semi-Automatic Analysis of Sound Correspondences | Kamil Stachowski |
| soundecology | 1.3.3 | Soundscape Ecology | Luis J. Villanueva-Rivera |
| SoundexBR | 1.2 | Phonetic-Coding for Portuguese | Daniel Marcelino |
| soundgen | 2.6.2 | Sound Synthesis and Acoustic Analysis | Andrey Anikin |
| SoundShape | 1.3.0 | Sound Waves Onto Morphometric Data | Pedro Rocha |
| SoupX | 1.6.2 | Single Cell mRNA Soup eXterminator | Matthew Daniel Young |
| sourcetools | 0.1.7-1 | Tools for Reading, Tokenizing and Parsing R Code | Kevin Ushey |
| SouthParkRshiny | 1.0.0 | Data and 'Shiny' Application for the Show 'SouthPark' | Amalan Mahendran |
| sovereign | 1.2.1 | State-Dependent Empirical Analysis | Tyler J. Pike |
| sox | 1.1 | Structured Learning in Time-Dependent Cox Models | Yi Lian |
| SoyNAM | 1.6.2 | Soybean Nested Association Mapping Dataset | Alencar Xavier |
| SoyURT | 1.0.0 | USDA Northern Region Uniform Soybean Tests Dataset | Matheus Dalsente Krause |
| sp | 2.1-3 | Classes and Methods for Spatial Data | Edzer Pebesma |
| SP2000 | 0.2.0 | Catalogue of Life Toolkit | Liuyong Ding |
| sp23design | 0.9-1 | Design and Simulation of Seamless Phase II-III Clinical Trials | Balasubramanian Narasimhan |
| spaa | 0.2.2 | SPecies Association Analysis | Jinlong Zhang |
| spAbundance | 0.1.3 | Univariate and Multivariate Spatial Modeling of Species
Abundance | Jeffrey Doser |
| spacefillr | 0.3.2 | Space-Filling Random and Quasi-Random Sequences | Tyler Morgan-Wall |
| spacejamr | 0.2.1 | Simulate Spatial Bernoulli Networks | Darren Colby |
| spaceNet | 1.2 | Latent Space Models for Multidimensional Networks | Silvia D'Angelo |
| spacesRGB | 1.5-0 | Standard and User-Defined RGB Color Spaces, with Conversion
Between RGB and CIE XYZ | Glenn Davis |
| spacesXYZ | 1.3-0 | CIE XYZ and some of Its Derived Color Spaces | Glenn Davis |
| spacetime | 1.3-1 | Classes and Methods for Spatio-Temporal Data | Edzer Pebesma |
| SpaceTimeBSS | 0.3-0 | Blind Source Separation for Multivariate Spatio-Temporal Data | Klaus Nordhausen |
| spacyr | 1.3.0 | Wrapper to the 'spaCy' 'NLP' Library | Kenneth Benoit |
| SPADAR | 1.0 | Spherical Projections of Astronomical Data | Alberto Krone-Martins |
| spAddins | 0.2.0 | A Set of RStudio Addins | Vilmantas Gegzna |
| SpadeR | 0.1.1 | Species-Richness Prediction and Diversity Estimation with R | Anne Chao |
| SpaDES | 2.0.10 | Develop and Run Spatially Explicit Discrete Event Simulation
Models | Alex M Chubaty |
| SpaDES.core | 2.0.3 | Core Utilities for Developing and Running Spatially Explicit
Discrete Event Models | Eliot J B McIntire |
| SpaDES.tools | 2.0.5 | Additional Tools for Developing Spatially Explicit Discrete
Event Simulation (SpaDES) Models | Alex M Chubaty |
| spaero | 0.6.0 | Software for Project AERO | Eamon O'Dea |
| spam | 2.10-0 | SPArse Matrix | Reinhard Furrer |
| spam64 | 2.10-0 | 64-Bit Extension of the SPArse Matrix R Package 'spam' | Reinhard Furrer |
| spaMM | 4.4.16 | Mixed-Effect Models, with or without Spatial Random Effects | François Rousset |
| spanish | 0.4.2 | Translate Quantities from Strings to Integer and Back. Misc
Functions on Spanish Data | Jose Manuel Vera Oteo |
| spANOVA | 0.99.4 | Analysis of Field Trials with Geostatistics & Spatial AR Models | Castro L. R. |
| spant | 2.19.0 | MR Spectroscopy Analysis Tools | Martin Wilson |
| sparcl | 1.0.4 | Perform Sparse Hierarchical Clustering and Sparse K-Means
Clustering | Daniela Witten |
| spark.sas7bdat | 1.4 | Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark' | Jan Wijffels |
| sparkavro | 0.3.0 | Load Avro file into 'Apache Spark' | Aki Ariga |
| sparkbq | 0.1.1 | Google 'BigQuery' Support for 'sparklyr' | Martin Studer |
| sparkhail | 0.1.1 | A 'Sparklyr' Extension for 'Hail' | Samuel Macêdo |
| sparkline | 2.0 | 'jQuery' Sparkline 'htmlwidget' | Ramnath Vaidyanathan |
| sparklyr | 1.8.5 | R Interface to Apache Spark | Edgar Ruiz |
| sparklyr.flint | 0.2.2 | Sparklyr Extension for 'Flint' | Edgar Ruiz |
| sparklyr.nested | 0.0.4 | A 'sparklyr' Extension for Nested Data | Matt Pollock |
| sparktex | 0.1 | Generate LaTeX sparklines in R | Thomas Leeper |
| sparktf | 0.1.0 | Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark' | Kevin Kuo |
| sparkwarc | 0.1.6 | Load WARC Files into Apache Spark | Edgar Ruiz |
| sparkxgb | 0.1.1 | Interface for 'XGBoost' on 'Apache Spark' | Yitao Li |
| sparr | 2.3-10 | Spatial and Spatiotemporal Relative Risk | Tilman M. Davies |
| SPARRAfairness | 0.0.0.1 | Analysis of Differential Behaviour of SPARRA Score Across
Demographic Groups | James Liley |
| sparrpowR | 0.2.8 | Power Analysis to Detect Spatial Relative Risk Clusters | Ian D. Buller |
| sparseBC | 1.2 | Sparse Biclustering of Transposable Data | Kean Ming Tan |
| SparseBiplots | 4.0.1 | 'HJ-Biplot' using Different Ways of Penalization Plotting with
'ggplot2' | Mitzi Isabel Cubilla-Montilla |
| sparsebnUtils | 0.0.8 | Utilities for Learning Sparse Bayesian Networks | Bryon Aragam |
| SparseChol | 0.3.1 | Sparse Matrix C++ Classes Including Sparse Cholesky LDL
Decomposition of Symmetric Matrices | Sam Watson |
| SparseDC | 0.1.17 | Implementation of SparseDC Algorithm | Jun Li |
| sparseDFM | 1.0 | Estimate Dynamic Factor Models with Sparse Loadings | Alex Gibberd |
| sparsediscrim | 0.3.0 | Sparse and Regularized Discriminant Analysis | Max Kuhn |
| sparseEigen | 0.1.0 | Computation of Sparse Eigenvectors of a Matrix | Daniel P. Palomar |
| sparseFLMM | 0.4.1 | Functional Linear Mixed Models for Irregularly or Sparsely
Sampled Data | Jona Cederbaum |
| SparseFunClust | 1.0.0 | Sparse Functional Clustering | Waldir Leoncio |
| sparseGAM | 1.0 | Sparse Generalized Additive Models | Ray Bai |
| sparsegl | 1.0.2 | Sparse Group Lasso | Daniel J. McDonald |
| SparseGrid | 0.8.2 | Sparse grid integration in R | Jelmer Ypma |
| sparseHessianFD | 0.3.3.7 | Numerical Estimation of Sparse Hessians | Michael Braun |
| sparseIndexTracking | 0.1.1 | Design of Portfolio of Stocks to Track an Index | Daniel P. Palomar |
| sparseinv | 0.1.3 | Computation of the Sparse Inverse Subset | Andrew Zammit-Mangion |
| sparseLDA | 0.1-9 | Sparse Discriminant Analysis | Max Kuhn |
| SparseLPM | 1.0 | The Sparse Latent Position Model for Nonnegative Interaction
Data | Riccardo Rastelli |
| sparseLRMatrix | 0.1.0 | Represent and Use Sparse + Low Rank Matrices | Alex Hayes |
| sparseLTSEigen | 0.2.0.1 | RcppEigen back end for sparse least trimmed squares regression | Andreas Alfons |
| SparseM | 1.81 | Sparse Linear Algebra | Roger Koenker |
| sparseMatEst | 1.0.0 | Sparse Matrix Estimation and Inference | Adam B Kashlak |
| SparseMDC | 0.99.5 | Implementation of SparseMDC Algorithm | Jun Li |
| SPARSEMODr | 1.2.0 | SPAtial Resolution-SEnsitive Models of Outbreak Dynamics | Joseph Mihaljevic |
| SparseMSE | 2.0.1 | 'Multiple Systems Estimation for Sparse Capture Data' | Lax Chan |
| sparseMVN | 0.2.2 | Multivariate Normal Functions for Sparse Covariance and
Precision Matrices | Michael Braun |
| sparsenet | 1.6 | Fit Sparse Linear Regression Models via Nonconvex Optimization | Trevor Hastie |
| sparsepca | 0.1.2 | Sparse Principal Component Analysis (SPCA) | N. Benjamin Erichson |
| sparsepp | 1.22 | 'Rcpp' Interface to 'sparsepp' | Dmitriy Selivanov |
| sparseR | 0.2.3 | Variable Selection under Ranked Sparsity Principles for
Interactions and Polynomials | Ryan Andrew Peterson |
| sparsereg | 1.2 | Sparse Bayesian Models for Regression, Subgroup Analysis, and
Panel Data | Marc Ratkovic |
| sparseSEM | 4.0 | Elastic Net Penalized Maximum Likelihood for Structural Equation
Models with Network GPT Framework | Anhui Huang |
| sparsestep | 1.0.1 | SparseStep Regression | Gertjan van den Burg |
| sparsesvd | 0.2-2 | Sparse Truncated Singular Value Decomposition (from 'SVDLIBC') | Stephanie Evert |
| sparseSVM | 1.1-6 | Solution Paths of Sparse High-Dimensional Support Vector Machine
with Lasso or Elastic-Net Regularization | Congrui Yi |
| SparseTSCGM | 4.0 | Sparse Time Series Chain Graphical Models | Fentaw Abegaz |
| sparsevar | 0.1.0 | Sparse VAR/VECM Models Estimation | Simone Vazzoler |
| sparsevb | 0.1.0 | Spike-and-Slab Variational Bayes for Linear and Logistic
Regression | Gabriel Clara |
| SparseVFC | 0.1.2 | Sparse Vector Field Consensus for Vector Field Learning | Jingmeng Cui |
| sparsio | 1.0.1 | I/O Operations with Sparse Matrices | Dmitriy Selivanov |
| sparta | 0.8.4 | Sparse Tables | Mads Lindskou |
| SPARTAAS | 1.2.1 | Statistical Pattern Recognition and daTing using Archaeological
Artefacts assemblageS | Arthur Coulon |
| sparvaride | 0.1.0 | Variance Identification in Sparse Factor Analysis | Darjus Hosszejni |
| SPAS | 2024.1.31 | Stratified-Petersen Analysis System | Carl James Schwarz |
| spass | 1.3 | Study Planning and Adaptation of Sample Size | Marius Placzek |
| spate | 1.7.5 | Spatio-Temporal Modeling of Large Data Using a Spectral SPDE
Approach | Fabio Sigrist |
| SpatEntropy | 2.2-4 | Spatial Entropy Measures | Altieri Linda |
| SPAtest | 3.1.2 | Score Test and Meta-Analysis Based on Saddlepoint Approximation | Rounak Dey |
| spatgeom | 0.3.0 | Geometric Spatial Point Analysis | Maikol Solís |
| spatgraphs | 3.4 | Graph Edge Computations for Spatial Point Patterns | Tuomas Rajala |
| SpatGRID | 0.1.0 | Spatial Grid Generation from Longitude and Latitude List | Nobin Chandra Paul |
| spathial | 0.1.2 | Evolutionary Analysis | Erika Gardini |
| spaths | 1.1.0 | Shortest Paths Between Points in Grids | Christian Düben |
| spatial | 7.3-17 | Functions for Kriging and Point Pattern Analysis | Brian Ripley |
| SpatialAcc | 0.1-5 | Spatial Accessibility Measures | Stamatis Kalogirou |
| SpatialBSS | 0.14-0 | Blind Source Separation for Multivariate Spatial Data | Klaus Nordhausen |
| spatialCovariance | 0.6-9 | Computation of Spatial Covariance Matrices for Data on
Rectangles | David Clifford |
| SpatialDDLS | 1.0.1 | Deconvolution of Spatial Transcriptomics Data Based on Neural
Networks | Diego Mañanes |
| spatialEco | 2.0-2 | Spatial Analysis and Modelling Utilities | Jeffrey S. Evans |
| SpatialEpi | 1.2.8 | Methods and Data for Spatial Epidemiology | Albert Y. Kim |
| SpatialExtremes | 2.1-0 | Modelling Spatial Extremes | Mathieu Ribatet |
| SpatialfdaR | 1.0.0 | Spatial Functional Data Analysis | James Ramsay |
| SpatialGEV | 1.0.0 | Fit Spatial Generalized Extreme Value Models | Meixi Chen |
| SpatialGraph | 1.0-4 | The SpatialGraph Class and Utilities | Javier Garcia-Pintado |
| spatialising | 0.6.0 | Ising Model for Spatial Data | Jakub Nowosad |
| SpatialKDE | 0.8.2 | Kernel Density Estimation for Spatial Data | Jan Caha |
| SpatialKWD | 0.4.1 | Spatial KWD for Large Spatial Maps | Stefano Gualandi |
| SpatialML | 0.1.7 | Spatial Machine Learning | Stamatis Kalogirou |
| SpatialNP | 1.1-5 | Multivariate Nonparametric Methods Based on Spatial Signs and
Ranks | Klaus Nordhausen |
| SpatialPack | 0.4 | Tools for Assessment the Association Between Two Spatial
Processes | Felipe Osorio |
| SpatialPOP | 0.1.0 | Generation of Spatial Data with Spatially Varying Model
Parameter | Nobin Chandra Paul |
| SpatialPosition | 2.1.2 | Spatial Position Models | Timothée Giraud |
| spatialprobit | 1.0.4 | Spatial Probit Models | Stefan Wilhelm |
| SpatialRDD | 0.1.0 | Conduct Multiple Types of Geographic Regression Discontinuity
Designs | Alexander Lehner |
| spatialreg | 1.3-2 | Spatial Regression Analysis | Roger Bivand |
| SpatialRegimes | 1.1 | Spatial Constrained Clusterwise Regression | Francesco Vidoli |
| spatialRF | 1.1.4 | Easy Spatial Modeling with Random Forest | Blas M. Benito |
| spatialrisk | 0.7.1 | Calculating Spatial Risk | Martin Haringa |
| SpatialRoMLE | 0.1.0 | Robust Maximum Likelihood Estimation for Spatial Error Model | Vural Yildirim |
| spatialsample | 0.5.1 | Spatial Resampling Infrastructure | Michael Mahoney |
| spatialTIME | 1.3.4-3 | Spatial Analysis of Vectra Immunoflourescent Data | Fridley Lab |
| SpatialTools | 1.0.5 | Tools for Spatial Data Analysis | Joshua French |
| SpatialVS | 1.1 | Spatial Variable Selection | Yili Hong |
| SpatialVx | 1.0-2 | Spatial Forecast Verification | Eric Gilleland |
| spatialwarnings | 3.0.3 | Spatial Early Warning Signals of Ecosystem Degradation | Alexandre Genin |
| spatialwidget | 0.2.5 | Formats Spatial Data for Use in Htmlwidgets | David Cooley |
| SpatMCA | 1.0.4 | Regularized Spatial Maximum Covariance Analysis | Wen-Ting Wang |
| SpaTopic | 1.0.1 | Topic Inference to Identify Tissue Architecture in Multiplexed
Images | Xiyu Peng |
| SpatPCA | 1.3.5 | Regularized Principal Component Analysis for Spatial Data | Wen-Ting Wang |
| spatPomp | 0.34.2 | Inference for Spatiotemporal Partially Observed Markov Processes | Edward Ionides |
| SpATS | 1.0-18 | Spatial Analysis of Field Trials with Splines | Maria Xose Rodriguez-Alvarez |
| spatsoc | 0.2.2 | Group Animal Relocation Data by Spatial and Temporal
Relationship | Alec L. Robitaille |
| spatstat | 3.0-8 | Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests | Adrian Baddeley |
| spatstat.data | 3.0-4 | Datasets for 'spatstat' Family | Adrian Baddeley |
| spatstat.explore | 3.2-7 | Exploratory Data Analysis for the 'spatstat' Family | Adrian Baddeley |
| spatstat.geom | 3.2-9 | Geometrical Functionality of the 'spatstat' Family | Adrian Baddeley |
| spatstat.gui | 3.0-1 | Interactive Graphics Functions for the 'spatstat' Package | Adrian Baddeley |
| spatstat.Knet | 3.0-2 | Extension to 'spatstat' for Large Datasets on a Linear Network | Adrian Baddeley |
| spatstat.linnet | 3.1-5 | Linear Networks Functionality of the 'spatstat' Family | Adrian Baddeley |
| spatstat.local | 5.0-1 | Extension to 'spatstat' for Local Composite Likelihood | Adrian Baddeley |
| spatstat.model | 3.2-11 | Parametric Statistical Modelling and Inference for the
'spatstat' Family | Adrian Baddeley |
| spatstat.random | 3.2-3 | Random Generation Functionality for the 'spatstat' Family | Adrian Baddeley |
| spatstat.sparse | 3.0-3 | Sparse Three-Dimensional Arrays and Linear Algebra Utilities | Adrian Baddeley |
| spatstat.utils | 3.0-4 | Utility Functions for 'spatstat' | Adrian Baddeley |
| spatsurv | 2.0-1 | Bayesian Spatial Survival Analysis with Parametric Proportional
Hazards Models | Benjamin M. Taylor |
| SPB | 1.0 | Simple Progress Bars for Procedural Coding | Fabio Ashtar Telarico |
| spbabel | 0.6.0 | Convert Spatial Data Using Tidy Tables | Michael D. Sumner |
| spBayes | 0.4-7 | Univariate and Multivariate Spatial-Temporal Modeling | Andrew Finley |
| spBayesSurv | 1.1.8 | Bayesian Modeling and Analysis of Spatially Correlated Survival
Data | Haiming Zhou |
| spBFA | 1.3 | Spatial Bayesian Factor Analysis | Samuel I. Berchuck |
| Spbsampling | 1.3.5 | Spatially Balanced Sampling | Francesco Pantalone |
| spc | 0.6.7 | Statistical Process Control -- Calculation of ARL and Other
Control Chart Performance Measures | Sven Knoth |
| spc4sts | 0.6.3 | Statistical Process Control for Stochastic Textured Surfaces | Anh Tuan Bui |
| spcadjust | 1.1 | Functions for Calibrating Control Charts | Axel Gandy |
| SPCALDA | 1.0 | A New Reduced-Rank Linear Discriminant Analysis Method | Ning Hao |
| SPCAvRP | 0.4 | Sparse Principal Component Analysis via Random Projections
(SPCAvRP) | Milana Gataric |
| SPCDAnalyze | 0.1.0 | Design and Analyze Studies using the Sequential Parallel
Comparison Design | David A. Schoenfeld |
| SPCompute | 1.0.3 | Compute Power or Sample Size for GWAS with Covariate Effect | Ziang Zhang |
| spcosa | 0.4-2 | Spatial Coverage Sampling and Random Sampling from Compact
Geographical Strata | Dennis Walvoort |
| spcov | 1.3 | Sparse Estimation of a Covariance Matrix | Jacob Bien |
| spCP | 1.3 | Spatially Varying Change Points | Samuel I. Berchuck |
| spcr | 2.1.1 | Sparse Principal Component Regression | Shuichi Kawano |
| spd | 2.0-1 | Semi Parametric Distribution | Alexios Ghalanos |
| spData | 2.3.0 | Datasets for Spatial Analysis | Jakub Nowosad |
| spDates | 1.1 | Analysis of Spatial Gradients in Radiocarbon Dates | Jonas Gregorio de Souza |
| spdep | 1.3-3 | Spatial Dependence: Weighting Schemes, Statistics | Roger Bivand |
| spdesign | 0.0.3 | Designing Stated Preference Experiments | Erlend Dancke Sandorf |
| spdl | 0.0.5 | Easier Use of 'RcppSpdlog' Functions via Wrapper | Dirk Eddelbuettel |
| spdownscale | 0.1.0 | Spatial Downscaling Using Bias Correction Approach | Rasheed AM |
| spduration | 0.17.2 | Split-Population Duration (Cure) Regression | Andreas Beger |
| spdynmod | 1.1.6 | Spatio-Dynamic Wetland Plant Communities Model | Javier Martinez-Lopez |
| speakr | 3.2.2 | A Wrapper for the Phonetic Software 'Praat' | Stefano Coretta |
| speaq | 2.7.0 | Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment,
Peak Based Processing, Quantitative Analysis and Visualizations | Charlie Beirnaert |
| spearmanCI | 1.0 | Jackknife Euclidean / Empirical Likelihood Inference for
Spearman's Rho | Miguel de Carvalho |
| spec | 0.1.9 | A Data Specification Format and Interface | Tim Bergsma |
| speccurvieR | 0.3.0 | Easy, Fast, and Pretty Specification Curve Analysis | Zayne Sember |
| SpecDetec | 1.0.0 | Change Points Detection with Spectral Clustering | Luis Uzai |
| SpecHelpers | 0.2.7 | Spectroscopy Related Utilities | Bryan A. Hanson |
| SPECIES | 1.1.4 | Statistical Package for Species Richness Estimation | Ji-Ping Wang |
| specieschrom | 1.0.0 | The Species Chromatogram | Loick Kleparski |
| SPECK | 1.0.0 | Receptor Abundance Estimation using Reduced Rank Reconstruction
and Clustered Thresholding | Azka Javaid |
| specklestar | 0.0.1.7 | Reduction of Speckle Data from BTA 6-m Telescope | Denis Rastegaev |
| specr | 1.0.0 | Conducting and Visualizing Specification Curve Analyses | Philipp K. Masur |
| specs | 1.0.1 | Single-Equation Penalized Error-Correction Selector (SPECS) | Etienne Wijler |
| SpecsVerification | 0.5-3 | Forecast Verification Routines for Ensemble Forecasts of Weather
and Climate | Stefan Siegert |
| spectacles | 0.5-4 | Storing, Manipulating and Analysis Spectroscopy and Associated
Data | Pierre Roudier |
| spectator | 0.2.0 | Interface to the 'Spectator Earth' API | Zivan Karaman |
| spectr | 1.0.1 | Calculate the Periodogram of a Time-Course | Jake Hughey |
| spectral | 2.0 | Common Methods of Spectral Data Analysis | Martin Seilmayer |
| spectralAnalysis | 4.3.3 | Pre-Process, Visualize and Analyse Spectral Data | Adriaan Blommaert |
| SpectralClMixed | 1.0.1 | Spectral Clustering for Mixed Type Data | Cristina Tortora |
| spectralGP | 1.3.3 | Approximate Gaussian Processes Using the Fourier Basis | Chris Paciorek |
| spectralGraphTopology | 0.2.3 | Learning Graphs from Data via Spectral Constraints | Ze Vinicius |
| SpectralMap | 1.0 | Diffusion Map and Spectral Map | Tianhao Wu |
| spectralR | 0.1.3 | Obtain and Visualize Spectral Reflectance Data for Earth Surface
Polygons | Oleh Prylutskyi |
| Spectran | 1.0.3 | Visual and Non-Visual Spectral Analysis of Light | Johannes Zauner |
| spectre | 1.0.2 | Predict Regional Community Composition | Craig Simpkins |
| spectrino | 2.0.0 | Spectra Viewer, Organizer, Data Preparation and Property Blocks | Teodor Krastev |
| spectrolab | 0.0.18 | Class and Methods for Spectral Data | Jose Eduardo Meireles |
| Spectrum | 1.1 | Fast Adaptive Spectral Clustering for Single and Multi-View Data | Christopher R John |
| sped | 0.3 | Multi-Gene Descent Probabilities | Charles J. Geyer |
| spedecon | 0.1 | Smoothness-Penalized Deconvolution for Density Estimation Under
Measurement Error | David Kent |
| SPEDInstabR | 2.2 | Estimation of the Relative Importance of Factors Affecting
Species Distribution Based on Stability Concept | Castor Guisande Gonzalez |
| speech | 0.1.5 | Legislative Speeches | Nicolas Schmidt |
| speechbr | 2.0.0 | Access the Speechs and Speaker's Informations of House of
Representatives of Brazil | Douglas Cardoso |
| speedglm | 0.3-5 | Fitting Linear and Generalized Linear Models to Large Data Sets | Marco Enea |
| speedycode | 0.3.0 | Automate Code for Adding Labels, Recoding and Renaming
Variables, and Converting ASCII Files | Jacob Harris |
| speedytax | 1.0.3 | Rapidly Import Classifier Results into 'phyloseq' | John Quensen |
| spef | 1.0.9 | Semiparametric Estimating Functions | Sy Han (Steven) Chiou |
| speff2trial | 1.0.5 | Semiparametric Efficient Estimation for a Two-Sample Treatment
Effect | Michal Juraska |
| SPEI | 1.8.1 | Calculation of the Standardized Precipitation-Evapotranspiration
Index | Santiago Beguería |
| spellcheckr | 0.1.2 | Correct the Spelling of a Given Word in the English Language | Selva Prabhakaran |
| spelling | 2.3.0 | Tools for Spell Checking in R | Jeroen Ooms |
| spemd | 0.1-1 | A Bi-Dimensional Implementation of the Empirical Mode
Decomposition for Spatial Data | Pierre Roudier |
| sperich | 1.5-9 | Auxiliary Functions to Estimate Centers of Biodiversity | Maximilian Lange |
| sperrorest | 3.0.5 | Perform Spatial Error Estimation and Variable Importance
Assessment | Alexander Brenning |
| SpeTestNP | 1.1.0 | Non-Parametric Tests of Parametric Specifications | Hippolyte Boucher |
| SPEV | 1.0.0 | Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothing | Rebecca Hurwitz |
| spex | 0.7.1 | Spatial Extent Tools | Michael D. Sumner |
| spfa | 1.0 | Semi-Parametric Factor Analysis | Yang Liu |
| spfda | 0.9.1 | Function-on-Scalar Regression with Group-Bridge Penalty | Zhengjia Wang |
| spfilteR | 1.1.5 | Semiparametric Spatial Filtering with Eigenvectors in
(Generalized) Linear Models | Sebastian Juhl |
| spflow | 0.1.0 | Spatial Econometric Interaction Models | Lukas Dargel |
| spFSR | 2.0.4 | Feature Selection and Ranking via Simultaneous Perturbation
Stochastic Approximation | David Akman |
| spFW | 0.1.0 | Hierarchical Spatial Finlay-Wilkinson Model | Xingche Guo |
| spGARCH | 0.2.2 | Spatial ARCH and GARCH Models (spGARCH) | Philipp Otto |
| spgs | 1.0-4 | Statistical Patterns in Genomic Sequences | Andrew Hart |
| spgwr | 0.6-36 | Geographically Weighted Regression | Roger Bivand |
| SphereOptimize | 0.1.1 | Optimization on a Unit Sphere | Yijun Xie |
| spherepc | 0.1.7 | Spherical Principal Curves | Jongmin Lee |
| sphereplot | 1.5.1 | Spherical Plotting | Aaron Robotham |
| sphereTessellation | 1.2.0 | Delaunay and Voronoï Tessellations on the Sphere | Stéphane Laurent |
| SphericalCubature | 1.5 | Numerical Integration over Spheres and Balls in n-Dimensions;
Multivariate Polar Coordinates | John P. Nolan |
| sphet | 2.0 | Estimation of Spatial Autoregressive Models with and without
Heteroskedastic Innovations | Gianfranco Piras |
| sphunif | 1.3.0 | Uniformity Tests on the Circle, Sphere, and Hypersphere | Eduardo García-Portugués |
| SpiceFP | 0.1.2 | Sparse Method to Identify Joint Effects of Functional Predictors | Girault Gnanguenon Guesse |
| spider | 1.5.0 | Species Identity and Evolution in R | Rupert A. Collins |
| spiderbar | 0.2.5 | Parse and Test Robots Exclusion Protocol Files and Rules | Bob Rudis |
| spidR | 1.0.2 | Spider Knowledge Online | Pedro Cardoso |
| SPIGA | 1.0.0 | Compute SPI Index using the Methods Genetic Algorithm and
Maximum Likelihood | Iván Ayala-Bizarro |
| spikes | 1.1 | Detecting Election Fraud from Irregularities in Vote-Share
Distributions | Arturas Rozenas |
| spikeslab | 1.1.6 | Prediction and Variable Selection Using Spike and Slab
Regression | Udaya B. Kogalur |
| spikeSlabGAM | 1.1-19 | Bayesian Variable Selection and Model Choice for Generalized
Additive Mixed Models | Fabian Scheipl |
| Spillover | 0.1.1 | Spillover/Connectedness Index Based on VAR Modelling | Jilber Urbina |
| SPINA | 4.1.0 | Structure Parameter Inference Approach | Johannes W. Dietrich |
| spINAR | 0.2.0 | (Semi)Parametric Estimation and Bootstrapping of INAR Models | Maxime Faymonville |
| spinBayes | 0.2.1 | Semi-Parametric Gene-Environment Interaction via Bayesian
Variable Selection | Jie Ren |
| spind | 2.2.1 | Spatial Methods and Indices | Sam Levin |
| spinifex | 0.3.7.0 | Manual Tours, Manual Control of Dynamic Projections of Numeric
Multivariate Data | Nicholas Spyrison |
| spinner | 1.1.0 | An Implementation of Graph Net Architecture Based on 'torch' | Giancarlo Vercellino |
| spinyReg | 0.1-0 | Sparse Generative Model and Its EM Algorithm | Julien Chiquet |
| spiralize | 1.0.6 | Visualize Data on Spirals | Zuguang Gu |
| spiritR | 0.1.1 | Template for Clinical Trial Protocol | Aaron Conway |
| spiro | 0.2.1 | Manage Data from Cardiopulmonary Exercise Testing | Simon Nolte |
| splancs | 2.01-44 | Spatial and Space-Time Point Pattern Analysis | Roger Bivand |
| splash | 1.0.2 | Simple Process-Led Algorithms for Simulating Habitats | Roberto Villegas-Diaz |
| spldv | 0.1.3 | Spatial Models for Limited Dependent Variables | Mauricio Sarrias |
| SPLICE | 1.1.2 | Synthetic Paid Loss and Incurred Cost Experience (SPLICE)
Simulator | Melantha Wang |
| splines2 | 0.5.1 | Regression Spline Functions and Classes | Wenjie Wang |
| splinetree | 0.2.0 | Longitudinal Regression Trees and Forests | Anna Neufeld |
| Splinets | 1.5.0 | Functional Data Analysis using Splines and Orthogonal Spline
Bases | Krzysztof Podgorski |
| SPlit | 1.2 | Split a Dataset for Training and Testing | Akhil Vakayil |
| splitFeas | 0.1.0 | Multi-Set Split Feasibility | Eric C. Chi |
| splitfngr | 0.1.2 | Combined Evaluation and Split Access of Functions | Collin Erickson |
| SplitGLM | 1.0.5 | Split Generalized Linear Models | Anthony Christidis |
| splithalf | 0.8.2 | Calculate Task Split Half Reliability Estimates | Sam Parsons |
| splithalfr | 2.2.2 | Estimate Split-Half Reliabilities | Thomas Pronk |
| SplitKnockoff | 1.2 | Split Knockoffs for Structural Sparsity | Haoxue Wang |
| SplitReg | 1.0.2 | Split Regularized Regression | Anthony Christidis |
| splitSelect | 1.0.3 | Best Split Selection Modeling for Low-Dimensional Data | Anthony Christidis |
| SplitSoftening | 2.1-0 | Softening Splits in Decision Trees | Jakub Dvorak |
| splitstackshape | 1.4.8 | Stack and Reshape Datasets After Splitting Concatenated Values | Ananda Mahto |
| splitTools | 1.0.1 | Tools for Data Splitting | Michael Mayer |
| splm | 1.6-5 | Econometric Models for Spatial Panel Data | Giovanni Millo |
| splmm | 1.1.3 | Simultaneous Penalized Linear Mixed Effects Models | Luoying Yang |
| splot | 0.5.4 | Simplified Plotting for Data Exploration | Micah Iserman |
| spls | 2.2-3 | Sparse Partial Least Squares (SPLS) Regression and
Classification | Valentin Todorov |
| splus2R | 1.3-5 | Supplemental S-PLUS Functionality in R | Stephen Kaluzny |
| splutil | 2022.6.20 | Utility Functions for Common Base-R Problems Relating to Lists | Richard Aubrey White |
| spm | 1.2.2 | Spatial Predictive Modeling | Jin Li |
| spm2 | 1.1.3 | Spatial Predictive Modeling | Jin Li |
| spMaps | 0.5.0 | Europe SpatialPolygonsDataFrame Builder | Tatiana Vargas |
| spMC | 0.3.15 | Continuous-Lag Spatial Markov Chains | Luca Sartore |
| SPmlficmcm | 1.4 | Semiparametric Maximum Likelihood Method for Interactions
Gene-Environment in Case-Mother Control-Mother Designs | Moliere Nguile-Makao |
| spmodel | 0.5.1 | Spatial Statistical Modeling and Prediction | Michael Dumelle |
| spmoran | 0.2.3 | Fast Spatial Regression using Moran Eigenvectors | Daisuke Murakami |
| spnaf | 0.3.1 | Spatial Network Autocorrelation for Flow Data | Youngbin Lee |
| spNetwork | 0.4.3.8 | Spatial Analysis on Network | Jeremy Gelb |
| SpNMF | 0.1.1 | Supervised NMF | Yun Cai |
| spnn | 1.2.1 | Scale Invariant Probabilistic Neural Networks | Romin Ebrahimi |
| spNNGP | 1.0.0 | Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes | Andrew Finley |
| spocc | 1.2.3 | Interface to Species Occurrence Data Sources | Hannah Owens |
| spOccupancy | 0.7.3 | Single-Species, Multi-Species, and Integrated Spatial Occupancy
Models | Jeffrey Doser |
| spoiler | 1.0.0 | Blur 'HTML' Elements in 'Shiny' Applications Using
'Spoiler-Alert.js' | Etienne Bacher |
| spongebob | 0.4.0 | SpongeBob-Case Converter : spOngEboB-CASe CoNVertER | Jay Qi |
| spongecake | 0.1.2 | Transform a Movie into a Synthetic Picture | Vincent Guyader |
| spooky | 1.4.0 | Time Feature Extrapolation Using Spectral Analysis and
Jack-Knife Resampling | Giancarlo Vercellino |
| spork | 0.3.3 | Generalized Label Formatting | Tim Bergsma |
| sport | 0.2.1 | Sequential Pairwise Online Rating Techniques | Dawid Kałędkowski |
| SPORTSCausal | 1.0 | Spillover Time Series Causal Inference | Feiyu Yue |
| SportsTour | 0.1.0 | Display Tournament Fixtures using Knock Out and Round Robin
Techniques | Ankit Tanwar |
| sportyR | 2.2.2 | Plot Scaled 'ggplot' Representations of Sports Playing Surfaces | Ross Drucker |
| SPOT | 2.11.14 | Sequential Parameter Optimization Toolbox | Thomas Bartz-Beielstein |
| spotidy | 0.1.0 | Providing Convenience Functions to Connect R with the Spotify
API | Lennard van Wanrooij |
| spotifyr | 2.2.4 | R Wrapper for the 'Spotify' Web API | Daniel Antal |
| SPOTMisc | 1.19.52 | Misc Extensions for the 'SPOT' Package | Thomas Bartz-Beielstein |
| spotoroo | 0.1.4 | Spatiotemporal Clustering of Satellite Hot Spot Data | Weihao Li |
| SPOUSE | 0.1.0 | Scatter Plots Over-Viewed Using Summary Ellipses | Siddhanta Phuyal |
| SPPcomb | 0.1 | Combining Different Spatial Datasets in Cancer Risk Estimation | Ming Wang |
| SpPOP | 0.1.0 | Generation of Spatial Population under Different Levels of
Relationships among Variables | Nobin Chandra Paul |
| spray | 1.0-25 | Sparse Arrays and Multivariate Polynomials | Robin K. S. Hankin |
| spreadr | 0.2.0 | Simulating Spreading Activation in a Network | Cynthia Siew |
| SPREDA | 1.1 | Statistical Package for Reliability Data Analysis | Yili Hong |
| SPreg | 1.0 | Bias Reduction in the Skew-Probit Model for a Binary Response | DongHyuk Lee |
| spreval | 1.1.0 | Evaluation of Sprinkler Irrigation Uniformity and Efficiency | Garry Grabow |
| sprex | 1.4.1 | Calculate Species Richness and Extrapolation Metrics | Eric Archer |
| springer | 0.1.9 | Sparse Group Variable Selection for Gene-Environment
Interactions in the Longitudinal Study | Fei Zhou |
| springpheno | 0.5.0 | Spring Phenological Indices | Adrienne M. Wootten |
| spRingsteen | 0.1.0 | All Things Data and Springsteen | Joey O'Brien |
| sprintr | 0.9.0 | Sparse Reluctant Interaction Modeling | Guo Yu |
| sprtt | 0.2.0 | Sequential Probability Ratio Tests Toolbox | Meike Steinhilber |
| sps | 0.5.4 | Sequential Poisson Sampling | Steve Martin |
| spsComps | 0.3.3.0 | 'systemPipeShiny' UI and Server Components | Le Zhang |
| spselect | 0.0.1 | Selecting Spatial Scale of Covariates in Regression Models | Lauren Grant |
| spsh | 1.1.0 | Estimation and Prediction of Parameters of Various Soil
Hydraulic Property Models | Tobias KD Weber |
| SPSL | 0.1-9 | Site Percolation on Square Lattices (SPSL) | Pavel V. Moskalev |
| SPSP | 0.2.0 | Selection by Partitioning the Solution Paths | Xiaorui (Jeremy) Zhu |
| spsur | 1.0.2.5 | Spatial Seemingly Unrelated Regression Models | Roman Minguez |
| spsurv | 1.0.0 | Bernstein Polynomial Based Semiparametric Survival Analysis | Renato Panaro |
| spsurvey | 5.5.1 | Spatial Sampling Design and Analysis | Michael Dumelle |
| spsUtil | 0.2.2 | 'systemPipeShiny' Utility Functions | Le Zhang |
| spt | 2.5.1 | Sierpinski Pedal Triangle | Bin Wang |
| spTDyn | 2.0.2 | Spatially Varying and Spatio-Temporal Dynamic Linear Models | K. Shuvo Bakar |
| SpTe2M | 1.0.3 | Nonparametric Modeling and Monitoring of Spatio-Temporal Data | Kai Yang |
| spThin | 0.2.0 | Functions for Spatial Thinning of Species Occurrence Records for
Use in Ecological Models | Matthew E. Aiello-Lammens |
| spTimer | 3.3.2 | Spatio-Temporal Bayesian Modelling | K. Shuvo Bakar |
| sptm | 2019.11-25 | SemiParametric Transformation Model Methods | Youyi Fong |
| sptotal | 1.0.1 | Predicting Totals and Weighted Sums from Spatial Data | Matt Higham |
| spup | 1.4-0 | Spatial Uncertainty Propagation Analysis | Kasia Sawicka |
| spuRs | 2.0.2 | Functions and Datasets for "Introduction to Scientific
Programming and Simulation Using R" | Andrew Robinson |
| SPYvsSPY | 0.1.1 | Spy vs. Spy Data | Steven E. Pav |
| SQI | 0.1.0 | Soil Quality Index | Dr. Owais Ali Wani |
| SQL | 0.1.1 | Executes 'SQL' Statements | Jean-Luc Lipatz |
| sqlcaser | 0.2.0 | 'SQL' Case Statement Generator | Leoson Hoay |
| sqldf | 0.4-11 | Manipulate R Data Frames Using SQL | G. Grothendieck |
| sqlhelper | 0.2.1 | Easier 'SQL' Integration | Matthew Roberts |
| sqlHelpers | 0.1.2 | Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql' | Timothy Conwell |
| sqliter | 0.1.0 | Connection wrapper to SQLite databases | Wilson Freitas |
| sqliteutils | 0.1.0 | Utility Functions for 'SQLite' | Bruno Crotman |
| SQLove | 0.0.4 | Execute 'SQL' Scripts in 'R' Containing Multiple Queries | Kerns Sam |
| sqlparseR | 0.1.0 | Wrapper for 'Python' Module 'sqlparse': Parse, Split, and Format
'SQL' | Michael Simmler |
| SqlRender | 1.17.0 | Rendering Parameterized SQL and Translation to Dialects | Martijn Schuemie |
| sqlscore | 0.1.4 | Utilities for Generating SQL Queries from Model Objects | William Brannon |
| sqlstrings | 1.0.0 | Map 'SQL' Code to R Lists | Dejan Prvulovic |
| SQMtools | 1.6.3 | Analyze Results Generated by the 'SqueezeMeta' Pipeline | Fernando Puente-Sánchez |
| SQN | 1.0.6 | Subset Quantile Normalization | Martin Aryee |
| SQRL | 1.0.2 | Enhances Interaction with 'ODBC' Databases | Mike Lee |
| squant | 1.1.4 | Subgroup Identification Based on Quantitative Objectives | YAN SUN |
| SQUAREM | 2021.1 | Squared Extrapolation Methods for Accelerating EM-Like Monotone
Algorithms | Ravi Varadhan |
| squash | 1.0.9 | Color-Based Plots for Multivariate Visualization | Aron C. Eklund |
| squat | 0.3.0 | Statistics for Quaternion Temporal Data | Aymeric Stamm |
| SqueakR | 1.3.0 | An Experiment Interface for 'DeepSqueak' Bioacoustics Research | Simon Ogundare |
| squeezy | 1.1-1 | Group-Adaptive Elastic Net Penalised Generalised Linear Models | Mirrelijn M. van Nee |
| squid | 0.2.1 | Statistical Quantification of Individual Differences | Hassen Allegue |
| sr | 0.1.0 | Smooth Regression - The Gamma Test and Tools | Wayne Haythorn |
| sra | 0.1.4.1 | Selection Response Analysis | Arnaud Le Rouzic |
| srcr | 1.1.0 | Simplify Connections to Database Sources | Charles Bailey |
| SRCS | 1.1 | Statistical Ranking Color Scheme for Multiple Pairwise
Comparisons | Pablo J. Villacorta |
| sRDA | 1.0.0 | Sparse Redundancy Analysis | Attila Csala |
| sRdpData | 0.1.0 | Strategies of Resistance Data Project | Harriet Jane Goers |
| sregsurvey | 0.1.3 | Semiparametric Model-Assisted Estimation in Finite Populations | Carlos Alberto Cardozo Delgado |
| srlars | 1.0.1 | Split Robust Least Angle Regression | Anthony Christidis |
| srlTS | 0.1.1 | Sparsity-Ranked Lasso for Time Series | Ryan Andrew Peterson |
| srm | 0.4-26 | Structural Equation Modeling for the Social Relations Model | Alexander Robitzsch |
| sRNAGenetic | 0.1.0 | Analysis of Small RNA Expression Changes in Hybrid Plants | Yu qing Wu |
| srp | 1.2.0 | Smooth-Rough Partitioning of the Regression Coefficients | Hyeyoung Maeng |
| SRS | 0.2.3 | Scaling with Ranked Subsampling | Lukas Beule |
| srt | 1.0.4 | Read Subtitle Files as Tabular Data | Kiernan Nicholls |
| SRTsim | 0.99.6 | Simulator for Spatially Resolved Transcriptomics | Jiaqiang Zhu |
| SRTtools | 1.2.0 | Adjust Srt File to Get Better Experience when Watching Movie | Jim Chen |
| srvyr | 1.2.0 | 'dplyr'-Like Syntax for Summary Statistics of Survey Data | Greg Freedman Ellis |
| ss3sim | 1.0.3 | Fisheries Stock Assessment Simulation Testing with Stock
Synthesis | Kelli F. Johnson |
| ssaBSS | 0.1.1 | Stationary Subspace Analysis | Markus Matilainen |
| ssanv | 1.1 | Sample Size Adjusted for Nonadherence or Variability of Input
Parameters | Michael P. Fay |
| SSBtools | 1.5.0 | Statistics Norway's Miscellaneous Tools | Øyvind Langsrud |
| ssc | 2.1-0 | Semi-Supervised Classification Methods | Christoph Bergmeir |
| sscor | 0.2 | Robust Correlation Estimation and Testing Based on Spatial Signs | Alexander Duerre |
| ssd4mosaic | 1.0.1 | Web Application for the SSD Module of the MOSAIC Platform | Milena Kaag |
| ssddata | 1.0.0 | Species Sensitivity Distribution Data | Rebecca Fisher |
| SSDforR | 1.5.34 | Functions to Analyze Single System Data | Charles Auerbach |
| SSDM | 0.2.9 | Stacked Species Distribution Modelling | Sylvain Schmitt |
| sSDR | 1.2.0 | Tools Developed for Structured Sufficient Dimension Reduction
(sSDR) | Yang Liu |
| ssdtools | 1.0.6 | Species Sensitivity Distributions | Joe Thorley |
| sse | 0.7-17 | Sample Size Estimation | Thomas Fabbro |
| SSEparser | 0.1.0 | Parse Server-Sent Events | Samuel Calderon |
| ssev | 0.1.0 | Sample Size Computation for Fixed N with Optimal Reward | Maurits Kaptein |
| ssfa | 1.2.2 | Spatial Stochastic Frontier Analysis | Elisa Fusco |
| ssfit | 1.2 | Fitting of Parametric Models using Summary Statistics | Christiana Kartsonaki |
| SSGL | 1.0 | Spike-and-Slab Group Lasso for Group-Regularized Generalized
Linear Models | Ray Bai |
| ssgraph | 1.15 | Bayesian Graph Structure Learning using Spike-and-Slab Priors | Reza Mohammadi |
| ssh | 0.9.1 | Secure Shell (SSH) Client for R | Jeroen Ooms |
| SSHAARP | 1.1.0 | Searching Shared HLA Amino Acid Residue Prevalence | Livia Tran |
| Sshaped | 1.1 | Nonparametric, Tuning-Free Estimation of S-Shaped Functions | Yining Chen |
| sship | 0.9.0 | Tool for Secure Shipment of Content | Are Edvardsen |
| ssifs | 1.0.2 | Stochastic Search Inconsistency Factor Selection | Georgios Seitidis |
| SSIMmap | 0.1.1 | The Structural Similarity Index Measure for Maps | Hui Jeong (Hailyee) Ha |
| ssimparser | 0.1.1 | Standard Schedules Information Parser | Sebastien Thonnard |
| ssize.fdr | 1.3 | Sample Size Calculations for Microarray Experiments | Megan Orr |
| ssizeRNA | 1.3.2 | Sample Size Calculation for RNA-Seq Experimental Design | Ran Bi |
| SSLASSO | 1.2-2 | The Spike-and-Slab LASSO | Gemma Moran |
| SSLR | 0.9.3.3 | Semi-Supervised Classification, Regression and Clustering
Methods | Francisco Jesús Palomares Alabarce |
| SSM | 1.0.1 | Fit and Analyze Smooth Supersaturated Models | Peter Curtis |
| ssmn | 1.1 | Skew Scale Mixtures of Normal Distributions | Luis Benites Sanchez |
| ssmodels | 1.0.1 | Sample Selection Models | Fernando de Souza Bastos |
| ssMousetrack | 1.1.6 | Bayesian State-Space Modeling of Mouse-Tracking Experiments via
Stan | Antonio Calcagnì |
| ssMRCD | 0.1.0 | Spatially Smoothed MRCD Estimator | Patricia Puchhammer |
| ssmrob | 1.0 | Robust Estimation and Inference in Sample Selection Models | Mikhail Zhelonkin |
| ssmsn | 0.2.0 | Scale-Shape Mixtures of Skew-Normal Distributions | Luis Benites |
| SSN2 | 0.1.1 | Spatial Modeling on Stream Networks | Michael Dumelle |
| SSNbayes | 0.0.3 | Bayesian Spatio-Temporal Analysis in Stream Networks | Edgar Santos-Fernandez |
| SSOSVM | 0.2.1 | Stream Suitable Online Support Vector Machines | Andrew Thomas Jones |
| SSP | 1.0.1 | Simulated Sampling Procedure for Community Ecology | Edlin Guerra-Castro |
| SSplots | 0.1.1 | Stock Status Plots (SSPs) | Eldho Varghese |
| sspse | 1.1.0-1 | Estimating Hidden Population Size using Respondent Driven
Sampling Data | Mark S. Handcock |
| ssr | 0.1.1 | Semi-Supervised Regression Methods | Enrique Garcia-Ceja |
| SSRA | 0.1-0 | Sakai Sequential Relation Analysis | Takuya Yanagida |
| SSrat | 1.1 | Two-Dimensional Sociometric Status Determination with Rating
Scales | Hans Landsheer |
| ssrm.logmer | 0.1 | Sample Size Determination for Longitudinal Designs with Binary
Outcome | Kush Kapur |
| SSRMST | 0.1.1 | Sample Size Calculation using Restricted Mean Survival Time | Miki Horiguchi |
| ssrn | 0.1.0 | Scan Statistics for Railway Network | Shinya Uryu |
| SSRTcalc | 0.3.3 | Easy SSRT Calculation | Anton Leontyev |
| sss | 0.2.2 | Import Files in the Triple-s (Standard Survey Structure) Format | Andrie de Vries |
| sssc | 1.0.0 | Same Species Sample Contamination Detection | Tao Jiang |
| SSsimple | 0.6.6 | State Space Models | Dave Zes |
| Sstack | 1.0.1 | Bootstrap Stacking of Random Forest Models for Heterogeneous
Data | Kevin Matlock |
| SSVS | 2.0.0 | Functions for Stochastic Search Variable Selection (SSVS) | Sierra Bainter |
| ssym | 1.5.8 | Fitting Semi-Parametric log-Symmetric Regression Models | Luis Hernando Vanegas |
| st | 1.2.7 | Shrinkage t Statistic and Correlation-Adjusted t-Score | Korbinian Strimmer |
| sta | 0.1.7 | Seasonal Trend Analysis for Time Series Imagery in R | Inder Tecuapetla-Gomez |
| stabiliser | 1.0.6 | Stabilising Variable Selection | Robert Hyde |
| stability | 0.5.0 | Stability Analysis of Genotype by Environment Interaction (GEI) | Muhammad Yaseen |
| StabilizedRegression | 1.1 | Stabilizing Regression and Variable Selection | Niklas Pfister |
| stabilo | 0.1.1 | Stabilometric Signal Quantification | Jose Oliveira |
| stable | 1.1.6 | Probability Functions and Generalized Regression Models for
Stable Distributions | Bruce Swihart |
| stabledist | 0.7-1 | Stable Distribution Functions | Martin Maechler |
| StableEstim | 2.2 | Estimate the Four Parameters of Stable Laws using Different
Methods | Georgi N. Boshnakov |
| stableGR | 1.2 | A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo | Christina Knudson |
| stablelearner | 0.1-5 | Stability Assessment of Statistical Learning Methods | Achim Zeileis |
| stablespec | 0.3.0 | Stable Specification Search in Structural Equation Models | Ridho Rahmadi |
| stabm | 1.2.2 | Stability Measures for Feature Selection | Andrea Bommert |
| stabreg | 0.1.2 | Linear Regression with the Stable Distribution | Oleg Kopylov |
| stabs | 0.6-4 | Stability Selection with Error Control | Benjamin Hofner |
| StackImpute | 0.1.0 | Tools for Analysis of Stacked Multiple Imputations | Mike Kleinsasser |
| stacking | 0.1.2 | Building Predictive Models with Stacking | Akio Onogi |
| stacks | 1.0.4 | Tidy Model Stacking | Simon Couch |
| stacomiR | 0.6.1 | Fish Migration Monitoring | Cedric Briand |
| stacomirtools | 0.6.0.1 | Connection Class for Package stacomiR | Cedric Briand |
| stagedtrees | 2.3.0 | Staged Event Trees | Gherardo Varando |
| stagePop | 1.1-2 | Modelling the Population Dynamics of a Stage-Structured Species
in Continuous Time | David Nutter |
| staggered | 1.1 | Efficient Estimation Under Staggered Treatment Timing | Pedro H.C. Sant'Anna |
| StakeholderAnalysis | 1.2 | Measuring Stakeholder Influence | Lech Kujawski |
| StAMPP | 1.6.3 | Statistical Analysis of Mixed Ploidy Populations | LW Pembleton |
| stampr | 0.3.1 | Spatial Temporal Analysis of Moving Polygons | Jed Long |
| stan4bart | 0.0-7 | Bayesian Additive Regression Trees with Stan-Sampled Parametric
Extensions | Vincent Dorie |
| STAND | 2.0 | Statistical Analysis of Non-Detects | E. P. Adams |
| standardize | 0.2.2 | Tools for Standardizing Variables for Regression in R | Christopher D. Eager |
| standardlastprofile | 1.0.0 | Data Package for BDEW Standard Load Profiles in Electricity | Markus Döring |
| standartox | 0.0.2 | Ecotoxicological Information from the Standartox Database | Andreas Scharmüller |
| standby | 0.1.0 | Alerts, Notifications and Loading Screen in 'Shiny' | Aravind Hebbali |
| StanHeaders | 2.32.6 | C++ Header Files for Stan | Ben Goodrich |
| StanMoMo | 1.2.0 | Bayesian Mortality Modelling with 'Stan' | Karim Barigou |
| stapler | 0.7.1 | Simultaneous Truth and Performance Level Estimation | John Muschelli |
| staplr | 3.2.2 | A Toolkit for PDF Files | Priyanga Dilini Talagala |
| staRdom | 1.1.28 | PARAFAC Analysis of EEMs from DOM | Matthias Pucher |
| STAREG | 1.0.3 | An Empirical Bayes Approach for Replicability Analysis Across
Two Studies | Yan Li |
| stargazer | 5.2.3 | Well-Formatted Regression and Summary Statistics Tables | Marek Hlavac |
| starm | 0.1.0 | Spatio-Temporal Autologistic Regression Model | Yannis Barboni |
| starma | 1.3 | Modelling Space Time AutoRegressive Moving Average (STARMA)
Processes | Felix Cheysson |
| starnet | 0.0.6 | Stacked Elastic Net | Armin Rauschenberger |
| starry | 0.1.2 | Explore Data with Plots and Tables | Joe Chelladurai |
| stars | 0.6-5 | Spatiotemporal Arrays, Raster and Vector Data Cubes | Edzer Pebesma |
| starschemar | 1.2.4 | Obtaining Stars from Flat Tables | Jose Samos |
| starsExtra | 0.2.8 | Miscellaneous Functions for Working with 'stars' Rasters | Michael Dorman |
| starsTileServer | 0.1.1 | A Dynamic Tile Server for R | Bart Kranstauber |
| STARTdesign | 1.0 | Single to Double Arm Transition Design for Phase II Clinical
Trials | Haolun Shi |
| starter | 0.1.15 | Starter Kit for New Projects | Daniel D. Sjoberg |
| startR | 2.3.1 | Automatically Retrieve Multidimensional Distributed Data Sets | An-Chi Ho |
| STARTS | 1.3-8 | Functions for the STARTS Model | Alexander Robitzsch |
| startup | 0.21.0 | Friendly R Startup Configuration | Henrik Bengtsson |
| startupmsg | 0.9.6.1 | Utilities for Start-Up Messages | Peter Ruckdeschel |
| starvars | 1.1.10 | Vector Logistic Smooth Transition Models Estimation and
Prediction | Andrea Bucci |
| starvz | 0.8.0 | R-Based Visualization Techniques for Task-Based Applications | Lucas Leandro Nesi |
| starwarsdb | 0.1.2 | Relational Data from the 'Star Wars' API for Learning and
Teaching | Garrick Aden-Buie |
| STAT | 0.1.0 | Interactive Document for Working with Basic Statistical Analysis | Kartikeya Bolar |
| STAT2 | 0.1.0 | Interactive Document for Working with Basic Statistical Analysis | Kartikeya Bolar |
| Stat2Data | 2.0.0 | Datasets for Stat2 | Robin Lock |
| Statamarkdown | 0.9.2 | 'Stata' Markdown | Doug Hemken |
| statar | 0.7.6 | Tools Inspired by 'Stata' to Manipulate Tabular Data | Matthieu Gomez |
| statBasics | 0.2.0 | Basic Functions to Statistical Methods Course | Gilberto Sassi |
| statcanR | 0.2.6 | Client for Statistics Canada's Open Economic Data | Thierry Warin |
| statcheck | 1.5.0 | Extract Statistics from Articles and Recompute P-Values | Michele B. Nuijten |
| statcodelists | 0.9.2 | Use Standardized Statistical Codelists | Daniel Antal |
| statcomp | 0.1.0 | Statistical Complexity and Information Measures for Time Series
Analysis | Sebastian Sippel |
| statConfR | 0.0.1 | Models of Decision Confidence and Metacognition | Manuel Rausch |
| StatDA | 1.7.11 | Statistical Analysis for Environmental Data | Peter Filzmoser |
| StatDataML | 1.0-27 | Read and Write StatDataML Files | David Meyer |
| statebins | 1.4.0 | Create United States Uniform Cartogram Heatmaps | Bob Rudis |
| StateLevelForest | 0.1.0 | Historical State-Level Forest Cover Data in the United States | Gates Dupont |
| states | 0.3.2 | Create Panels of Independent States | Andreas Beger |
| statespacer | 0.5.0 | State Space Modelling in 'R' | Dylan Beijers |
| statgenGWAS | 1.0.9 | Genome Wide Association Studies | Bart-Jan van Rossum |
| statgenGxE | 1.0.7 | Genotype by Environment (GxE) Analysis | Bart-Jan van Rossum |
| statgenHTP | 1.0.6.1 | High Throughput Phenotyping (HTP) Data Analysis | Bart-Jan van Rossum |
| statgenIBD | 1.0.7 | Calculation of IBD Probabilities | Bart-Jan van Rossum |
| statgenMPP | 1.0.2 | QTL Mapping for Multi Parent Populations | Bart-Jan van Rossum |
| statgenQTLxT | 1.0.2 | Multi-Trait and Multi-Trial Genome Wide Association Studies | Bart-Jan van Rossum |
| statgenSTA | 1.0.12 | Single Trial Analysis (STA) of Field Trials | Bart-Jan van Rossum |
| statGraph | 0.5.1 | Statistical Methods for Graphs | Andre Fujita |
| stationaRy | 0.5.1 | Detailed Meteorological Data from Stations All Over the World | Richard Iannone |
| stationery | 1.1 | Working Examples for Reproducible Research Documents | Paul Johnson |
| statip | 0.2.3 | Statistical Functions for Probability Distributions and
Regression | Paul Poncet |
| statisfactory | 1.0.4 | Statistical and Geometrical Tools | Adam B. Smith |
| StatMatch | 1.4.1 | Statistical Matching or Data Fusion | Marcello D'Orazio |
| statmod | 1.5.0 | Statistical Modeling | Gordon Smyth |
| statnet | 2019.6 | Software Tools for the Statistical Analysis of Network Data | Martina Morris |
| statnet.common | 4.9.0 | Common R Scripts and Utilities Used by the Statnet Project
Software | Pavel N. Krivitsky |
| statnetWeb | 0.5.6 | A Graphical User Interface for Network Modeling with 'Statnet' | Martina Morris |
| statnipokladna | 0.7.3 | Use Data from the Czech Public Finance Database | Petr Bouchal |
| StatPerMeCo | 0.1.0 | Statistical Performance Measures to Evaluate Covariance Matrix
Estimates | Carlos Trucios |
| statprograms | 0.2.0 | Graduate Statistics Program Datasets | Brett Klamer |
| statpsych | 1.5.0 | Statistical Methods for Psychologists | Douglas G. Bonett |
| statquotes | 0.3.2 | Quotes on Statistics, Data Visualization and Science | Michael Friendly |
| StatRank | 0.0.6 | Statistical Rank Aggregation: Inference, Evaluation, and
Visualization | Hossein Azari Soufiani |
| stats19 | 3.0.3 | Work with Open Road Traffic Casualty Data from Great Britain | Robin Lovelace |
| stats4teaching | 0.1.0 | Simulate Pedagogical Statistical Data | Cabello Esteban |
| statsearchanalyticsr | 0.1.4 | An Interface for the 'STAT Search Analytics' 'API' | Ben Woodard |
| statsExpressions | 1.5.4 | Tidy Dataframes and Expressions with Statistical Details | Indrajeet Patil |
| Statsomat | 1.1.0 | Shiny Apps for Automated Data Analysis and Automated
Interpretation | Denise Welsch |
| statsr | 0.3.0 | Companion Software for the Coursera Statistics with R
Specialization | Merlise Clyde |
| statswalesr | 0.2.0 | Easily Extract Data from 'StatsWales' | Jamie Ralph |
| statVisual | 1.2.1 | Statistical Visualization Tools | Wenfei Zhang |
| STB | 0.6.5 | Simultaneous Tolerance Bounds | Andre Schuetzenmeister |
| stcos | 0.3.1 | Space-Time Change of Support | Andrew M. Raim |
| stcov | 0.1.0 | Stein's Covariance Estimator | Brett Naul |
| stcpR6 | 0.9.6 | Sequential Test and Change-Point Detection Algorithms Based on
E-Values / E-Detectors | Jaehyeok Shin |
| stddiff | 3.1 | Calculate the Standardized Difference for Numeric, Binary and
Category Variables | Zhicheng Du |
| stdmod | 0.2.10 | Standardized Moderation Effect and Its Confidence Interval | Shu Fai Cheung |
| stdReg | 3.4.1 | Regression Standardization | Arvid Sjolander |
| stdvectors | 0.0.5 | C++ Standard Library Vectors in R | Marco Giuliano |
| steadyICA | 1.0 | ICA and Tests of Independence via Multivariate Distance
Covariance | Benjamin Risk |
| steepness | 0.3-0 | Testing Steepness of Dominance Hierarchies | David Leiva |
| SteinIV | 0.1-1 | Semi-Parametric Stein-Like Estimator with Instrumental Variables | Cedric E Ginestet |
| stelfi | 1.0.1 | Hawkes and Log-Gaussian Cox Point Processes Using Template Model
Builder | Charlotte M. Jones-Todd |
| stellaR | 0.3-4 | Evolutionary Tracks and Isochrones from Pisa Stellar Evolution
Database | Matteo Dell'Omodarme |
| StemAnalysis | 0.1.0 | Reconstructing Tree Growth and Carbon Accumulation with Stem
Analysis Data | Huili Wu |
| stemmatology | 0.3.2 | Stemmatological Analysis of Textual Traditions | Jean-Baptiste Camps |
| StempCens | 1.1.0 | Spatio-Temporal Estimation and Prediction for Censored/Missing
Responses | Larissa A. Matos |
| stencilaschema | 1.0.0 | Bindings for Stencila Schema | Nokome Bentley |
| stenR | 0.6.9 | Standardization of Raw Discrete Questionnaire Scores | Michal Kosinski |
| StepBeta | 2.1.0 | Stepwise Procedure for Beta, Beta-Binomial and Negative Binomial
Regression Models | Sergio Garofalo |
| STEPCAM | 1.2 | ABC-SMC Inference of STEPCAM | Thijs Janzen |
| stepdownfdp | 1.0.0 | A Step-Down Procedure to Control the False Discovery Proportion | Arya Ebadi |
| stepgbm | 1.0.1 | Stepwise Variable Selection for Generalized Boosted Regression
Modeling | Jin Li |
| StepGWR | 0.1.0 | A Hybrid Spatial Model for Prediction and Capturing Spatial
Variation in the Data | Nobin Chandra Paul |
| stepjglm | 0.0.1 | Variable Selection for Joint Modeling of Mean and Dispersion | Leandro A. Pereira |
| stepmixr | 0.1.2 | Interface to 'Python' Package 'StepMix' | Charles-Édouard Giguère |
| stepp | 3.2.6 | Subpopulation Treatment Effect Pattern Plot (STEPP) | Wai-ki Yip |
| SteppedPower | 0.3.4 | Power Calculation for Stepped Wedge Designs | Philipp Mildenberger |
| stepPenal | 0.2 | Stepwise Forward Variable Selection in Penalized Regression | Eleni Vradi |
| stepPlr | 0.93 | L2 Penalized Logistic Regression with Stepwise Variable
Selection | Mee Young Park |
| stepR | 2.1-9 | Multiscale Change-Point Inference | Pein Florian |
| StepReg | 1.5.0 | Stepwise Regression Analysis | Junhui Li |
| steprf | 1.0.2 | Stepwise Predictive Variable Selection for Random Forest | Jin Li |
| steps | 1.3.0 | Spatially- and Temporally-Explicit Population Simulator | Casey Visintin |
| StepSignalMargiLike | 2.6.0 | Step-Wise Signal Extraction via Marginal Likelihood | Chu-Lan Michael Kao |
| stepSplitReg | 1.0.3 | Stepwise Split Regularized Regression | Anthony Christidis |
| StepwiseTest | 1.0 | Multiple Testing Method to Control Generalized Family-Wise Error
Rate and False Discovery Proportion | Kendro Vincent |
| StereoMorph | 1.6.7 | Stereo Camera Calibration and Reconstruction | Aaron Olsen |
| stevedata | 1.1.0 | Steve's Toy Data for Teaching About a Variety of Methodological,
Social, and Political Topics | Steve Miller |
| stevedore | 0.9.6 | Docker Client | Rich FitzJohn |
| stevemisc | 1.7.0 | Steve's Miscellaneous Functions | Steve Miller |
| stevetemplates | 1.0.0 | Steve's R Markdown Templates | Steven V. Miller |
| stevethemes | 0.1.0 | Steve's 'ggplot2' Themes and Related Theme Elements | Steve Miller |
| stfit | 0.99.9 | Spatio-Temporal Functional Imputation Tool | Weicheng Zhu |
| STFTS | 0.1.0 | Statistical Tests for Functional Time Series | Chi Seng Pun |
| STGS | 0.1.0 | Genomic Selection using Single Trait | Neeraj Budhlakoti |
| sticky | 0.5.6.1 | Persist Attributes Across Data Operations | Christopher Brown |
| stickyr | 0.1.2 | Data Frames with Persistent Columns and Attributes | Mizuki Uchida |
| SticsRFiles | 1.2.0 | Read and Modify 'STICS' Input/Output Files | Patrice Lecharpentier |
| stilt | 1.3.0 | Separable Gaussian Process Interpolation (Emulation) | Kelsey Ruckert |
| stim | 1.0.0 | Incorporating Stability Information into Cross-Sectional
Estimates | Anna Wysocki |
| stima | 1.2.4 | Simultaneous Threshold Interaction Modeling Algorithm | Elise Dusseldorp |
| stinepack | 1.5 | Stineman, a Consistently Well Behaved Method of Interpolation | Tomas Johannesson |
| stlARIMA | 0.1.0 | STL Decomposition and ARIMA Hybrid Forecasting Model | Ronit Jaiswal |
| stlELM | 0.1.1 | Hybrid Forecasting Model Based on STL Decomposition and ELM | Girish Kumar Jha |
| stlnpp | 0.3.10 | Spatio-Temporal Analysis of Point Patterns on Linear Networks | Mehdi Moradi |
| stlplus | 0.5.1 | Enhanced Seasonal Decomposition of Time Series by Loess | Ryan Hafen |
| stlTDNN | 0.1.0 | STL Decomposition and TDNN Hybrid Time Series Forecasting | Girish Kumar Jha |
| stm | 1.3.7 | Estimation of the Structural Topic Model | Brandon Stewart |
| stmCorrViz | 1.3 | A Tool for Structural Topic Model Visualizations | Antonio Coppola |
| stmgp | 1.0.4 | Rapid and Accurate Genetic Prediction Modeling for Genome-Wide
Association or Whole-Genome Sequencing Study Data | Masao Ueki |
| stmgui | 0.1.6 | Shiny Application for Creating STM Models | Dan Zangri |
| stminsights | 0.4.2 | A 'Shiny' Application for Inspecting Structural Topic Models | Carsten Schwemmer |
| StMoMo | 0.4.1 | Stochastic Mortality Modelling | Andres Villegas |
| StMoSim | 3.1.1 | Quantile-Quantile Plot with Several Gaussian Simulations | Matthias Salvisberg |
| STMotif | 2.0.2 | Discovery of Motifs in Spatial-Time Series | Heraldo Borges |
| STMr | 0.1.6 | Strength Training Manual R-Language Functions | Mladen Jovanović |
| stocc | 1.31 | Fit a Spatial Occupancy Model via Gibbs Sampling | Devin S. Johnson |
| StochBlock | 0.1.2 | Stochastic Blockmodeling of One-Mode and Linked Networks | Aleš Žiberna |
| stochLAB | 1.1.2 | Stochastic Collision Risk Model | Grant Humphries |
| stochprofML | 2.0.3 | Stochastic Profiling using Maximum Likelihood Estimation | Lisa Amrhein |
| stochQN | 0.1.2-1 | Stochastic Limited Memory Quasi-Newton Optimizers | David Cortes |
| stochvol | 3.2.4 | Efficient Bayesian Inference for Stochastic Volatility (SV)
Models | Darjus Hosszejni |
| stochvolTMB | 0.2.0 | Likelihood Estimation of Stochastic Volatility Models | Jens Christian Wahl |
| stockAnalyst | 1.0.1 | Equity Valuation using Methods of Fundamental Analysis | MaheshP Kumar |
| StockDistFit | 1.0.0 | Fit Stock Price Distributions | Brian Njuguna |
| stockR | 1.0.76 | Identifying Stocks in Genetic Data | Scott D. Foster |
| stocks | 1.1.4 | Stock Market Analysis | Dane R. Van Domelen |
| stodom | 0.0.1 | Estimating Consistent Tests for Stochastic Dominance | Sergei Schaub |
| stoichcalc | 1.1-5 | R Functions for Solving Stoichiometric Equations | Peter Reichert |
| stokes | 1.2-0 | The Exterior Calculus | Robin K. S. Hankin |
| stopdetection | 0.1.2 | Stop Detection in Timestamped Trajectory Data using
Spatiotemporal Clustering | McCool Danielle |
| STOPES | 0.2 | Selection Threshold Optimized Empirically via Splitting | Marinela Capanu |
| stopp | 0.2.1 | Spatio-Temporal Point Pattern Methods, Model Fitting,
Diagnostics, Simulation, Local Tests | Nicoletta D'Angelo |
| stoppingrule | 0.4.0 | Create and Evaluate Stopping Rules for Safety Monitoring | Michael J. Martens |
| stops | 1.0-1 | Structure Optimized Proximity Scaling | Thomas Rusch |
| stopwords | 2.3 | Multilingual Stopword Lists | Kenneth Benoit |
| Storm | 1.2 | Write Storm Bolts in R using the Storm Multi-Language Protocol. | Allen Day |
| StormR | 0.1.1 | Analyzing the Behaviour of Wind Generated by Tropical Storms and
Cyclones | Thomas Arsouze |
| storr | 1.2.5 | Simple Key Value Stores | Rich FitzJohn |
| stortingscrape | 0.3.0 | Access Data from the Norwegian Parliament API | Martin Søyland |
| stoRy | 0.2.2 | Download, Explore, and Analyze Literary Theme Ontology Data | Paul Sheridan |
| storywranglr | 0.2.0 | Explore Twitter Trends with the 'Storywrangler' API | Christopher Belanger |
| stosim | 0.0.15 | Stochastic Simulator for Reliability Modeling of Repairable
Systems | Jacob Ormerod |
| STPGA | 5.2.1 | Selection of Training Populations by Genetic Algorithm | Deniz Akdemir |
| stplanr | 1.1.2 | Sustainable Transport Planning | Robin Lovelace |
| stpm | 1.7.12 | Stochastic Process Model for Analysis of Longitudinal and
Time-to-Event Outcomes | Ilya Y. Zhbannikov |
| stpp | 2.0-7 | Space-Time Point Pattern Simulation, Visualisation and Analysis | Edith Gabriel |
| stpphawkes | 0.2.1 | Missing Data for Marked Hawkes Process | J. Derek Tucker |
| stppSim | 1.3.2 | Spatiotemporal Point Patterns Simulation | Monsuru Adepeju |
| stR | 0.6 | STR Decomposition | Alexander Dokumentov |
| str2str | 1.0.0 | Convert R Objects from One Structure to Another | David Disabato |
| StrainRanking | 1.2 | Ranking of Pathogen Strains | Samuel Soubeyrand |
| strand | 0.2.0 | A Framework for Investment Strategy Simulation | Jeff Enos |
| stranslate | 0.1.3 | Simple Translation Between Different Languages | Sigbert Klinke |
| strap | 1.6-0 | Stratigraphic Tree Analysis for Palaeontology | Graeme T. Lloyd |
| strat | 0.1 | An Implementation of the Stratification Index | Xiang Zhou |
| strata.MaxCombo | 0.0.1 | Stratified Max-Combo Test | Yuwen Liu |
| stratallo | 2.2.1 | Optimum Sample Allocation in Stratified Sampling | Wojciech Wójciak |
| stratamatch | 0.1.9 | Stratification and Matching for Large Observational Data Sets | Rachael C. Aikens |
| stratastats | 0.2 | Stratified Analysis of 2x2 Contingency Tables | Gianmarco Alberti |
| stratbr | 1.2 | Optimal Stratification in Stratified Sampling | Jose Brito |
| strategicplayers | 1.1 | Strategic Players | Miles Ott |
| Strategy | 1.0.1 | Generic Framework to Analyze Trading Strategies | Julian Busch |
| stratEst | 1.1.6 | Strategy Estimation | Fabian Dvorak |
| StrathE2E2 | 3.3.0 | End-to-End Marine Food Web Model | Michael Heath |
| stratification | 2.2-7 | Univariate Stratification of Survey Populations | Louis-Paul Rivest |
| StratifiedBalancing | 0.3.0 | Stratified Covariate Balancing | Amr ElRafey |
| StratifiedMedicine | 1.0.5 | Stratified Medicine | Thomas Jemielita |
| StratifiedRF | 0.2.2 | Builds Trees by Sampling Variables in Groups | David Cortes |
| stratifyR | 1.0-3 | Optimal Stratification of Univariate Populations | Karuna G. Reddy |
| StratigrapheR | 1.3.1 | Integrated Stratigraphy | Sebastien Wouters |
| StratSel | 1.3 | Strategic Selection Estimator | Lucas Leemann |
| STraTUS | 1.1.2 | Enumeration and Uniform Sampling of Transmission Trees for a
Known Phylogeny | Matthew Hall |
| stratvns | 1.1 | Optimal Stratification in Stratified Sampling | Jose Brito |
| straweib | 1.1 | Stratified Weibull Regression Model | Xiangdong Gu |
| strawr | 0.0.91 | Fast Implementation of Reading/Dump for .hic Files | Neva Cherniavsky Durand |
| stray | 0.1.1 | Anomaly Detection in High Dimensional and Temporal Data | Priyanga Dilini Talagala |
| STREAK | 1.0.0 | Receptor Abundance Estimation using Feature Selection and Gene
Set Scoring | Azka Javaid |
| stream | 2.0-1 | Infrastructure for Data Stream Mining | Michael Hahsler |
| streambugs | 1.4 | Parametric Ordinary Differential Equations Model of Growth,
Death, and Respiration of Macroinvertebrate and Algae Taxa | Nele Schuwirth |
| streamDAG | 1.5 | Analytical Methods for Stream DAGs | Ken Aho |
| streamDepletr | 0.2.0 | Estimate Streamflow Depletion Due to Groundwater Pumping | Sam Zipper |
| StreamMetabolism | 1.1.3 | Calculate Single Station Metabolism from Diurnal Oxygen Curves | Stephen A Sefick Jr. |
| streamMOA | 1.3-0 | Interface for MOA Stream Clustering Algorithms | Michael Hahsler |
| streamR | 0.4.5 | Access to Twitter Streaming API via R | Pablo Barbera |
| StReg | 1.1 | Student's t Regression Models | Niraj Poudyal |
| stressaddition | 3.1.0 | Modelling Tri-Phasic Concentration-Response Relationships | Sebastian Henz |
| stressor | 0.1.0 | Algorithms for Testing Models under Stress | Sam Haycock |
| stressr | 1.0.0 | Fetch and plot financial stress index and component data. | Matt Barry |
| StressStrength | 1.0.2 | Computation and Estimation of Reliability of Stress-Strength
Models | Alessandro Barbiero |
| strex | 2.0.0 | Extra String Manipulation Functions | Rory Nolan |
| strider | 1.3 | Strided Iterator and Range | Tim Keitt |
| String2AdjMatrix | 0.1.0 | Creates an Adjacency Matrix from a List of Strings | Tom Drake |
| string2path | 0.1.6 | Rendering Font into 'data.frame' | Hiroaki Yutani |
| stringb | 0.1.17 | Convenient Base R String Handling | Peter Meissner |
| stringdist | 0.9.12 | Approximate String Matching, Fuzzy Text Search, and String
Distance Functions | Mark van der Loo |
| stringfish | 0.16.0 | Alt String Implementation | Travers Ching |
| stringformattr | 0.1.2 | Dynamic String Formatting | Alexander Hoyle |
| stringi | 1.8.3 | Fast and Portable Character String Processing Facilities | Marek Gagolewski |
| stringmagic | 1.1.0 | Character String Operations and Interpolation, Magic Edition | Laurent R Berge |
| stringr | 1.5.1 | Simple, Consistent Wrappers for Common String Operations | Hadley Wickham |
| stringstatic | 0.1.2 | Dependency-Free String Operations | Alexander Rossell Hayes |
| stringx | 0.2.8 | Replacements for Base String Functions Powered by 'stringi' | Marek Gagolewski |
| strip | 1.0.0 | Lighten your R Model Outputs | Paul Poncet |
| stripless | 1.0-3 | Structured Trellis Displays Without Strips for Lattice Graphics | Bert Gunter |
| striprtf | 0.6.0 | Extract Text from RTF File | Kota Mori |
| STRMPS | 0.5.8 | Analysis of Short Tandem Repeat (STR) Massively Parallel
Sequencing (MPS) Data | Søren B. Vilsen |
| stRoke | 23.9.1 | Clinical Stroke Research | Andreas Gammelgaard Damsbo |
| StroupGLMM | 0.1.0 | R Codes and Datasets for Generalized Linear Mixed Models: Modern
Concepts, Methods and Applications by Walter W. Stroup | Muhammad Yaseen |
| strucchange | 1.5-3 | Testing, Monitoring, and Dating Structural Changes | Achim Zeileis |
| strucchangeRcpp | 1.5-3-1.0.4 | Testing, Monitoring, and Dating Structural Changes: C++ Version | Dainius Masiliunas |
| StrucDiv | 0.2.1 | Spatial Structural Diversity Quantification in Raster Data | Leila Schuh |
| StructFDR | 1.4 | False Discovery Control Procedure Integrating the Prior
Structure Information | Jun Chen |
| structree | 1.1.7 | Tree-Structured Clustering | Moritz Berger |
| StructuralDecompose | 0.1.1 | Decomposes a Level Shifted Time Series | Allen Sunny |
| StructureMC | 1.0 | Structured Matrix Completion | Yifu Liu <2012johnnyliu at gmail.com> |
| strvalidator | 2.4.1 | Process Control and Validation of Forensic STR Kits | Oskar Hansson |
| stuart | 0.10.2 | Subtests Using Algorithmic Rummaging Techniques | Martin Schultze |
| studentlife | 1.1.0 | Tidy Handling and Navigation of the Student-Life Dataset | Daniel Fryer |
| studyStrap | 1.0.0 | Study Strap and Multi-Study Learning Algorithms | Gabriel Loewinger |
| STV | 1.0.2 | Single Transferable Vote Counting | John Emerson |
| stxplore | 0.1.0 | Exploration of Spatio-Temporal Data | Sevvandi Kandanaarachchi |
| styler | 1.10.3 | Non-Invasive Pretty Printing of R Code | Lorenz Walthert |
| stylest2 | 0.1 | Estimating Speakers of Texts | Christian Baehr |
| stylo | 0.7.5 | Stylometric Multivariate Analyses | Maciej Eder |
| subcopem2D | 1.3 | Bivariate Empirical Subcopula | Arturo Erdely |
| subdetect | 1.2 | Detect Subgroup with an Enhanced Treatment Effect | Shannon T. Holloway |
| subformula | 0.1.0 | Create Subformulas of a Formula | Jonas Moss |
| subgroup | 1.1 | Methods for exploring treatment effect heterogeneity in subgroup
analysis of clinical trials | I. Manjula Schou |
| SubgrpID | 0.12 | Patient Subgroup Identification for Clinical Drug Development | Xin Huang |
| subgxe | 0.9.0 | Combine Multiple GWAS by Using Gene-Environment Interactions | Alexander Rix |
| submax | 1.1.1 | Effect Modification in Observational Studies Using the Submax
Method | Paul R. Rosenbaum |
| SubpathwayLNCE | 1.0 | Identify Signal Subpathways Competitively Regulated by LncRNAs
Based on ceRNA Theory | Xinrui Shi |
| subplex | 1.8 | Unconstrained Optimization using the Subplex Algorithm | Aaron A. King |
| subrank | 0.9.9.3 | Computes Copula using Ranks and Subsampling | Jerome Collet |
| subsamp | 0.1.0 | Subsample Winner Algorithm for Variable Selection in Linear
Regression with a Large Number of Variables | Yiying Fan |
| subscore | 3.3 | Computing Subscores in Classical Test Theory and Item Response
Theory | Shenghai Dai |
| subscreen | 3.0.7 | Systematic Screening of Study Data for Subgroup Effects | Bodo Kirsch |
| subselect | 0.15.5 | Selecting Variable Subsets | Jorge Cadima |
| subsemble | 0.1.0 | An Ensemble Method for Combining Subset-Specific Algorithm Fits | Erin LeDell |
| subspace | 1.0.4 | Interface to OpenSubspace | Marwan Hassani |
| SubTite | 4.0.5 | Subgroup Specific Optimal Dose Assignment | Andrew Chapple |
| SubTS | 1.0 | Positive Tempered Stable Distributions and Related Subordinators | Michael Grabchak |
| SubtypeDrug | 0.1.8 | Prioritization of Candidate Cancer Subtype Specific Drugs | Junwei Han |
| SubVis | 2.0.2 | Visual Exploration of Protein Alignments Resulting from Multiple
Substitution Matrices | Scott Barlowe |
| success | 1.0.1 | Survival Control Charts Estimation Software | Daniel Gomon |
| sudachir | 0.1.0 | R Interface to 'Sudachi' | Shinya Uryu |
| suddengains | 0.7.2 | Identify Sudden Gains in Longitudinal Data | Milan Wiedemann |
| sudoku | 2.8 | Sudoku Puzzle Generator and Solver | David Brahm |
| sudokuAlt | 0.2-1 | Tools for Making and Spoiling Sudoku Games | Bill Venables |
| SuessR | 0.1.5 | Suess and Laws Corrections for Marine Stable Carbon Isotope Data | Casey Clark |
| sufficientForecasting | 0.1.0 | Sufficient Forecasting using Factor Models | Jing Fu |
| sugarbag | 0.1.6 | Create Tessellated Hexagon Maps | Dianne Cook |
| suggests | 0.1.0 | Declare when Suggested Packages are Needed | Owen Jones |
| sugrrants | 0.2.9 | Supporting Graphs for Analysing Time Series | Earo Wang |
| sumFREGAT | 1.2.5 | Fast Region-Based Association Tests on Summary Statistics | Nadezhda M. Belonogova |
| summariser | 2.3.0 | Easy Calculation and Visualisation of Confidence Intervals | Conor Neilson |
| SummaryLasso | 1.2.1 | Building Polygenic Risk Score Using GWAS Summary Statistics | Ting-Huei Chen |
| summarytools | 1.0.1 | Tools to Quickly and Neatly Summarize Data | Dominic Comtois |
| summclust | 0.7.2 | Module to Compute Influence and Leverage Statistics for
Regression Models with Clustered Errors | Alexander Fischer |
| SUMMER | 1.4.0 | Small-Area-Estimation Unit/Area Models and Methods for
Estimation in R | Zehang R Li |
| sumR | 0.4.15 | Approximate Summation of Series | Guido A. Moreira |
| sumSome | 1.1.0 | Permutation True Discovery Guarantee by Sum-Based Tests | Anna Vesely |
| sunburstR | 2.1.8 | Sunburst 'Htmlwidget' | Kent Russell |
| suncalc | 0.5.1 | Compute Sun Position, Sunlight Phases, Moon Position and Lunar
Phase | Benoit Thieurmel |
| Sunclarco | 1.0.0 | Survival Analysis using Copulas | Roel Braekers |
| SUNGEO | 1.2.1 | Sub-National Geospatial Data Archive: Geoprocessing Toolkit | Yuri M. Zhukov |
| SunsVoc | 0.1.2 | Constructing Suns-Voc from Outdoor Time-Series I-V Curves | Tyler J. Burleyson |
| suntools | 1.0.0 | Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight | Adriaan M. Dokter |
| supc | 0.2.6.2 | The Self-Updating Process Clustering Algorithms | Wush Wu |
| supclust | 1.1-1 | Supervised Clustering of Predictor Variables Such as Genes | Martin Maechler |
| supcluster | 1.0.1 | Supervised Cluster Analysis | David A. Schoenfeld |
| superb | 0.95.9 | Summary Plots with Adjusted Error Bars | Denis Cousineau |
| superbiclust | 1.2 | Generating Robust Biclusters from a Bicluster Set (Ensemble
Biclustering) | Tatsiana Khamiakova |
| supercells | 1.0.0 | Superpixels of Spatial Data | Jakub Nowosad |
| supercompress | 1.1 | Supervised Compression of Big Data | Chaofan Huang |
| superdiag | 2.0 | A Comprehensive Test Suite for Testing Markov Chain
Nonconvergence | Le Bao |
| SuperExactTest | 1.1.0 | Exact Test and Visualization of Multi-Set Intersections | Minghui Wang |
| SuperGauss | 2.0.3 | Superfast Likelihood Inference for Stationary Gaussian Time
Series | Martin Lysy |
| superheat | 0.1.0 | A Graphical Tool for Exploring Complex Datasets Using Heatmaps | Rebecca Barter |
| SuperLearner | 2.0-29 | Super Learner Prediction | Eric Polley |
| superMICE | 1.1.1 | SuperLearner Method for MICE | Aaron B. Shev |
| superml | 0.5.7 | Build Machine Learning Models Like Using Python's Scikit-Learn
Library in R | Manish Saraswat |
| supernova | 3.0.0 | Judd, McClelland, & Ryan Formatting for ANOVA Output | Adam Blake |
| superpc | 1.12 | Supervised Principal Components | Jean-Eudes Dazard |
| SuperpixelImageSegmentation | 1.0.5 | Superpixel Image Segmentation | Lampros Mouselimis |
| Superpower | 0.2.0 | Simulation-Based Power Analysis for Factorial Designs | Aaron Caldwell |
| SuperRanker | 1.2.1 | Sequential Rank Agreement | Claus Thorn Ekstrøm |
| supervisedPRIM | 2.0.0 | Supervised Classification Learning and Prediction using Patient
Rule Induction Method (PRIM) | David Shaub |
| SupMZ | 0.2.0 | Detecting Structural Change with Heteroskedasticity | Muhammad Yaseen |
| suppdata | 1.1-9 | Downloading Supplementary Data from Published Manuscripts | William D. Pearse |
| SuppDists | 1.1-9.7 | Supplementary Distributions | Thorsten Pohlert |
| support.BWS | 0.4-6 | Tools for Case 1 Best-Worst Scaling | Hideo Aizaki |
| support.BWS2 | 0.4-0 | Tools for Case 2 Best-Worst Scaling | Hideo Aizaki |
| support.BWS3 | 0.2-1 | Tools for Case 3 Best-Worst Scaling | Hideo Aizaki |
| support.CEs | 0.7-0 | Basic Functions for Supporting an Implementation of Choice
Experiments | Hideo Aizaki |
| supportR | 1.2.0 | Support Functions for Wrangling and Visualization | Nicholas J Lyon |
| sur | 1.0.4 | Companion to "Statistics Using R: An Integrative Approach" | Daphna Harel |
| surbayes | 0.1.2 | Bayesian Analysis of Seemingly Unrelated Regression Models | Ethan Alt |
| sure | 0.2.0 | Surrogate Residuals for Ordinal and General Regression Models | Brandon Greenwell |
| sureLDA | 0.1.0-1 | A Novel Multi-Disease Automated Phenotyping Method for the EHR | Yuri Ahuja |
| SuRF.vs | 1.1.0.1 | Subsampling Ranking Forward Selection (SuRF) | Toby Kenney |
| surface | 0.5 | Fitting Hansen Models to Investigate Convergent Evolution | Travis Ingram |
| SurfaceTortoise | 2.0.1 | Find Optimal Sampling Locations Based on Spatial Covariate(s) | Kristin Persson |
| Surrogate | 3.2.5 | Evaluation of Surrogate Endpoints in Clinical Trials | Wim Van Der Elst |
| SurrogateBMA | 1.0 | Flexible Evaluation of Surrogate Markers with Bayesian Model
Averaging | Yunshan Duan |
| SurrogateOutcome | 1.1 | Estimation of the Proportion of Treatment Effect Explained by
Surrogate Outcome Information | Layla Parast |
| SurrogateRank | 1.0 | Rank-Based Test to Evaluate a Surrogate Marker | Layla Parast |
| SurrogateRegression | 0.6.0.1 | Surrogate Outcome Regression Analysis | Zachary McCaw |
| SurrogateRsq | 0.2.1 | Goodness-of-Fit Analysis for Categorical Data using the
Surrogate R-Squared | Xiaorui (Jeremy) Zhu |
| SurrogateTest | 1.3 | Early Testing for a Treatment Effect using Surrogate Marker
Information | Layla Parast |
| surrosurv | 1.1.26 | Evaluation of Failure Time Surrogate Endpoints in Individual
Patient Data Meta-Analyses | Dan Chaltiel |
| surrosurvROC | 0.1.0 | Surrogate Survival ROC | Yunro Chung |
| suRtex | 0.9 | LaTeX descriptive statistic reporting for survey data | Dustin Landers |
| surtvep | 1.0.0 | Cox Non-Proportional Hazards Model with Time-Varying
Coefficients | Lingfeng Luo |
| surv2sampleComp | 1.0-5 | Inference for Model-Free Between-Group Parameters for Censored
Survival Data | Miki Horiguchi |
| survAH | 1.0.0 | Survival Data Analysis using Average Hazard | Miki Horiguchi |
| survAUC | 1.2-0 | Estimators of Prediction Accuracy for Time-to-Event Data | Frederic Bertrand |
| survAWKMT2 | 1.0.1 | Two-Sample Tests Based on Differences of Kaplan-Meier Curves | Miki Horiguchi |
| survBootOutliers | 1.0 | Concordance Based Bootstrap Methods for Outlier Detection in
Survival Analysis | Joao Pinto |
| survC1 | 1.0-3 | C-Statistics for Risk Prediction Models with Censored Survival
Data | Hajime Uno |
| survcompare | 0.1.2 | Compares Cox and Survival Random Forests to Quantify
Nonlinearity | Diana Shamsutdinova |
| SurvCorr | 1.1 | Correlation of Bivariate Survival Times | Georg Heinze |
| survCurve | 1.0 | Plots Survival Curves Element by Element | Melchior Burri |
| SurvDisc | 0.1.1 | Discrete Time Survival and Longitudinal Data Analysis | John Lawrence |
| surveil | 0.2.2 | Time Series Models for Disease Surveillance | Connor Donegan |
| surveillance | 1.22.1 | Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena | Sebastian Meyer |
| survELtest | 2.0.1 | Comparing Multiple Survival Functions with Crossing Hazards | Guo-You Lan |
| survex | 1.2.0 | Explainable Machine Learning in Survival Analysis | Mikołaj Spytek |
| survexp.fr | 1.1 | Relative Survival, AER and SMR Based on French Death Rates | Hugo Varet |
| survey | 4.4-2 | Analysis of Complex Survey Samples | "Thomas Lumley" |
| surveybootstrap | 0.0.3 | Bootstrap with Survey Data | Dennis M. Feehan |
| SurveyCC | 0.1.1 | Canonical Correlation for Survey Data | Raul Cruz-Cano |
| surveyCV | 0.2.0 | Cross Validation Based on Survey Design | Jerzy Wieczorek |
| surveydata | 0.2.7 | Tools to Work with Survey Data | Andrie de Vries |
| surveyexplorer | 0.1.0 | Quickly Explore Complex Survey Data | Liam Haller |
| surveygraph | 0.1.1 | Network Representations of Attitudes | Samuel Unicomb |
| surveyplanning | 4.0 | Survey Planning Tools | Juris Breidaks |
| surveysd | 1.3.1 | Survey Standard Error Estimation for Cumulated Estimates and
their Differences in Complex Panel Designs | Johannes Gussenbauer |
| surveytable | 0.9.2 | Formatted Survey Estimates | Alex Strashny |
| surveyvoi | 1.0.6 | Survey Value of Information | Jeffrey O Hanson |
| survHE | 2.0.1 | Survival Analysis in Health Economic Evaluation | Gianluca Baio |
| SurvHiDim | 0.1.1 | High Dimensional Survival Data Analysis | Atanu Bhattacharjee |
| survIDINRI | 1.1-2 | IDI and NRI for Comparing Competing Risk Prediction Models with
Censored Survival Data | Hajime Uno |
| survidm | 1.3.2 | Inference and Prediction in an Illness-Death Model | Marta Sestelo |
| SurviMChd | 0.1.2 | High Dimensional Survival Data Analysis with Markov Chain Monte
Carlo | Atanu Bhattacharjee |
| survival | 3.5-8 | Survival Analysis | Terry M Therneau |
| survival.svb | 0.0-2 | Fit High-Dimensional Proportional Hazards Models | Michael Komodromos |
| survival666 | 0.5 | Eliminate the Influence of Co-Expression Genes on Target Genes | Honglu Zhang <15738817548 at 163.com> |
| survivalAnalysis | 0.3.0 | High-Level Interface for Survival Analysis and Associated Plots | Marcel Wiesweg |
| SurvivalClusteringTree | 1.0 | Clustering Analysis Using Survival Tree and Forest Algorithms | Lu You |
| survivalmodels | 0.1.191 | Models for Survival Analysis | Yohann Foucher |
| survivalMPL | 0.2-3 | Penalised Maximum Likelihood for Survival Analysis Models | Dominique-Laurent Couturier |
| survivalMPLdc | 0.1.1 | Penalised Likelihood for Survival Analysis with Dependent
Censoring | Jing Xu |
| survivalREC | 1.1 | Nonparametric Estimation of the Distribution of Gap Times for
Recurrent Events | Gustavo Soutinho |
| survivalROC | 1.0.3.1 | Time-Dependent ROC Curve Estimation from Censored Survival Data | Paramita Saha-Chaudhuri
|
| survivalSL | 0.94 | Super Learner for Survival Prediction from Censored Data | Yohann Foucher |
| survivalsvm | 0.0.5 | Survival Support Vector Analysis | Cesaire Fouodo |
| SurvivalTests | 1.0 | Survival Tests for One-Way Layout | Osman Dag |
| survivoR | 2.3.2 | Data from all Seasons of Survivor (US) TV Series in Tidy Format | Daniel Oehm |
| SurvLong | 1.4 | Analysis of Proportional Hazards Model with Sparse Longitudinal
Covariates | Shannon T. Holloway |
| SurvMetrics | 0.5.0 | Predictive Evaluation Metrics in Survival Analysis | Hanpu Zhou |
| SurvMI | 0.1.0 | Multiple Imputation Method in Survival Analysis | Yiming Chen |
| survminer | 0.4.9 | Drawing Survival Curves using 'ggplot2' | Alboukadel Kassambara |
| survMisc | 0.5.6 | Miscellaneous Functions for Survival Data | Chris Dardis |
| survmixer | 1.3 | Design of Clinical Trials with Survival Endpoints Based on
Binary Responses | Marta Bofill Roig |
| survML | 1.1.0 | Flexible Estimation of Conditional Survival Functions Using
Machine Learning | Charles Wolock |
| survobj | 3.0.0 | Objects to Simulate Survival Times | Aponte John |
| survout | 0.1.0 | Excel Conversion of R Surival Analysis Output | Xuefei Jia |
| survParamSim | 0.1.6 | Parametric Survival Simulation with Parameter Uncertainty | Kenta Yoshida |
| survPen | 1.6.0 | Multidimensional Penalized Splines for Survival and Net Survival
Models | Mathieu Fauvernier |
| survPresmooth | 1.1-11 | Presmoothed Estimation in Survival Analysis | Ignacio Lopez de Ullibarri |
| SurvRegCensCov | 1.7 | Weibull Regression for a Right-Censored Endpoint with
Interval-Censored Covariate | Stanislas Hubeaux |
| survRM2 | 1.0-4 | Comparing Restricted Mean Survival Time | Hajime Uno |
| survRM2adapt | 1.1.0 | Flexible and Coherent Test/Estimation Procedure Based on
Restricted Mean Survival Times | Miki Horiguchi |
| survRM2perm | 0.1.0 | Permutation Test for Comparing Restricted Mean Survival Time | Miki Horiguchi |
| survSens | 1.1.0 | Sensitivity Analysis with Time-to-Event Outcomes | Rong Huang |
| survsim | 1.1.8 | Simulation of Simple and Complex Survival Data | David Moriña Soler |
| survSNP | 0.26 | Power Calculations for SNP Studies with Censored Outcomes | Alexander Sibley |
| SurvSparse | 0.1 | Survival Analysis with Sparse Longitudinal Covariates | Zhuowei Sun |
| survSpearman | 1.0.1 | Nonparametric Spearman's Correlation for Survival Data | Svetlana Eden |
| survstan | 0.0.7 | Fitting Survival Regression Models via 'Stan' | Fabio Demarqui |
| SurvTrunc | 0.2.0 | Analysis of Doubly Truncated Data | Lior Rennert |
| susieR | 0.12.35 | Sum of Single Effects Linear Regression | Peter Carbonetto |
| susographql | 0.1.6 | Comprehensive Interface to the Survey Solutions 'GraphQL' API | Michael Wild |
| SUSY | 0.1.0 | Surrogate Synchrony | Wolfgang Tschacher |
| sValues | 0.1.6 | Measures of the Sturdiness of Regression Coefficients | Carlos Cinelli |
| svars | 1.3.11 | Data-Driven Identification of SVAR Models | Alexander Lange |
| svd | 0.5.5 | Interfaces to Various State-of-Art SVD and Eigensolvers | Anton Korobeynikov |
| svDialogs | 1.1.0 | 'SciViews' - Standard Dialog Boxes for Windows, MacOS and
Linuxes | Philippe Grosjean |
| svDialogstcltk | 1.0.0 | 'SciViews' - Standard Dialog Boxes using Tcl/Tk | Philippe Grosjean |
| SVDNF | 0.1.8 | Discrete Nonlinear Filtering for Stochastic Volatility Models | Louis Arsenault-Mahjoubi |
| svenssonm | 0.1.0 | Svensson's Method | Yingyan Zhu |
| svglite | 2.1.3 | An 'SVG' Graphics Device | Thomas Lin Pedersen |
| svgPanZoom | 0.3.4 | R 'Htmlwidget' to Add Pan and Zoom to Almost any R Graphic | Kent Russell |
| svgtools | 1.1.0 | Manipulate SVG (Template) Files of Charts | Konrad Oberwimmer |
| svGUI | 1.0.1 | SciViews - Manage GUIs in R | Philippe Grosjean |
| svgViewR | 1.4.3 | 3D Animated Interactive Visualizations Using SVG and WebGL | Aaron M Olsen |
| svHttp | 1.0.4 | 'SciViews' - HTTP Server | Philippe Grosjean |
| svIDE | 0.9-54 | Functions to Ease Interactions Between R and IDE or Code Editors | Philippe Grosjean |
| svines | 0.2.3 | Stationary Vine Copula Models | Thomas Nagler |
| svKomodo | 1.0.0 | 'SciViews' - Functions to Interface with Komodo IDE | Philippe Grosjean |
| svMisc | 1.2.3 | 'SciViews' - Miscellaneous Functions | Philippe Grosjean |
| svmpath | 0.970 | The SVM Path Algorithm | Trevor Hastie |
| SVN | 1.0.1 | Statistically Validated Networks | Damien Challet |
| svplots | 0.1.0 | Sample Variance Plots (Sv-Plots) | Uditha Amarananda Wijesuriya |
| svrep | 0.6.3 | Tools for Creating, Updating, and Analyzing Survey Replicate
Weights | Ben Schneider |
| svrpath | 0.1.2 | The SVR Path Algorithm | Do Hyun Kim <09dohkim at gmail.com> |
| svs | 3.0.0 | Tools for Semantic Vector Spaces | Koen Plevoets |
| svSocket | 1.1.5 | 'SciViews' - Socket Server | Philippe Grosjean |
| svSweave | 1.0.0 | 'SciViews' - 'Sweave', 'Knitr' and R Markdown Companion
Functions | Philippe Grosjean |
| svTools | 0.9-5 | Wrappers for Tools in Other Packages for IDE Friendliness | Philippe Grosjean |
| svUnit | 1.0.6 | 'SciViews' - Unit, Integration and System Testing | Philippe Grosjean |
| svWidgets | 0.9-45 | Management of GUI Widgets, Windows, and Other GUI Resources | Philippe Grosjean |
| svydiags | 0.5 | Linear Regression Model Diagnostics for Survey Data | Richard Valliant |
| svylme | 1.5-1 | Linear Mixed Models for Complex Survey Data | Thomas Lumley |
| SvyNom | 1.2 | Nomograms for Right-Censored Outcomes from Survey Designs | Mithat Gonen |
| svyVGAM | 1.2 | Design-Based Inference in Vector Generalised Linear Models | Thomas Lumley |
| svyweight | 0.1.0 | Quick and Flexible Survey Weighting | Ben Mainwaring |
| swa | 0.8.1 | Subsampling Winner Algorithm for Classification | Xingye Qiao |
| swag | 0.1.0 | Sparse Wrapper Algorithm | Samuel Orso |
| swagger | 3.33.1 | Dynamically Generates Documentation from a 'Swagger' Compliant
API | Barret Schloerke |
| swamp | 1.5.1 | Visualization, Analysis and Adjustment of High-Dimensional Data
in Respect to Sample Annotations | Martin Lauss |
| swaprinc | 1.0.1 | Swap Principal Components into Regression Models | Mackson Ncube |
| swaRm | 0.6.0 | Processing Collective Movement Data | Simon Garnier |
| swaRmverse | 0.1.0 | Swarm Space Creation | Marina Papadopoulou |
| swatches | 0.5.0 | Read, Inspect, and Manipulate Color Swatch Files | Bob Rudis |
| swCRTdesign | 4.0 | Stepped Wedge Cluster Randomized Trial (SW CRT) Design | Jim Hughes |
| swdft | 1.0.0 | Sliding Window Discrete Fourier Transform (SWDFT) | Lee F. Richardson |
| swdpwr | 1.9 | Power Calculation for Stepped Wedge Cluster Randomized Trials | Jiachen Chen |
| sweater | 0.1.8 | Speedy Word Embedding Association Test and Extras Using R | Chung-hong Chan |
| sweep | 0.2.5 | Tidy Tools for Forecasting | Matt Dancho |
| SweepDiscovery | 0.1.1 | Selective Sweep Discovery Tool | Abhik Sarkar |
| sweidnumbr | 1.5.0 | Handling of Swedish Identity Numbers | Mans Magnusson |
| swephR | 0.3.1 | High Precision Swiss Ephemeris | Ralf Stubner |
| swfscAirDAS | 0.3.0 | Southwest Fisheries Science Center Aerial DAS Data Processing | Sam Woodman |
| swfscDAS | 0.6.2 | Southwest Fisheries Science Center Shipboard DAS Data Processing | Sam Woodman |
| swfscMisc | 1.6.5 | Miscellaneous Functions for Southwest Fisheries Science Center | Eric Archer |
| swgee | 1.4 | Simulation Extrapolation Inverse Probability Weighted
Generalized Estimating Equations | Juan Xiong |
| SWIM | 1.0.0 | Scenario Weights for Importance Measurement | Silvana M. Pesenti |
| SwimmeR | 0.14.2 | Data Import, Cleaning, and Conversions for Swimming Results | Greg Pilgrim |
| swimplot | 1.2.0 | Tools for Creating Swimmers Plots using 'ggplot2' | Jessica Weiss |
| swipeR | 1.1.0 | Carousels using the 'JavaScript' Library 'Swiper' | Stéphane Laurent |
| swirl | 2.4.5 | Learn R, in R | Sean Kross |
| swirlify | 0.5.3 | A Toolbox for Writing 'swirl' Courses | Sean Kross |
| SwissAir | 1.1.6 | Air Quality Data of Switzerland for One Year in 30 Min
Resolution | Christoph Hofer |
| swissparl | 0.2.2 | Interface to the Webservices of the Swiss Parliament | David Zumbach |
| switchboard | 0.1 | An Agile Widget Engine for Real-Time, Dynamic Visualizations | Marc J. Lajeunesse |
| switchcase | 0.1.1 | A Simple and Flexible Switch-Case Construct for the 'R' Language | Joachim Zuckarelli |
| switchr | 0.14.8 | Installing, Managing, and Switching Between Distinct Sets of
Installed Packages | Gabriel Becker |
| switchSelection | 1.1.2 | Endogenous Switching and Sample Selection Regression Models | Bogdan Potanin |
| SWMPr | 2.5.0 | Retrieving, Organizing, and Analyzing Estuary Monitoring Data | Marcus W. Beck |
| SWMPrExtension | 2.2.5.1 | Functions for Analyzing and Plotting Estuary Monitoring Data | Matt Dornback |
| SWTools | 1.0.1 | Helper Tools for Australian Hydrologists | Matt Gibbs |
| sylcount | 0.2-6 | Syllable Counting and Readability Measurements | Drew Schmidt |
| syllabifyr | 0.1.1 | Syllabifier for CMU Dictionary Transcriptions | Josef Fruehwald |
| syllogi | 1.0.2 | Collection of Data Sets for Teaching Purposes | Jared Studyvin |
| sylly | 0.1-6 | Hyphenation and Syllable Counting for Text Analysis | Meik Michalke |
| sylly.en | 0.1-3 | Language Support for 'sylly' Package: English | Meik Michalke |
| sym.arma | 1.0 | Autoregressive and Moving Average Symmetric Models | Vinicius Quintas Souto Maior |
| symbol.equation.gpt | 1.1.3 | Powerful User Interface to Build Equations and Add Symbols | Obinna Obianom |
| symbolicDA | 0.7-1 | Analysis of Symbolic Data | Andrzej Dudek |
| SymbolicDeterminants | 2.0.0 | Symbolic Representation of Matrix Determinant | William Fairweather |
| symDMatrix | 2.1.1 | Partitioned Symmetric Matrices | Alexander Grueneberg |
| symengine | 0.2.6 | Interface to the 'SymEngine' Library | Jialin Ma |
| symmetry | 0.2.3 | Testing for Symmetry of Data and Model Residuals | Blagoje Ivanović |
| symmoments | 1.2.1 | Symbolic Central and Noncentral Moments of the Multivariate
Normal Distribution | Kem Phillips |
| symphony | 0.1.1 | Efficient and Precise Single-Cell Reference Atlas Mapping | Joyce Kang |
| symptomcheckR | 0.1.1 | Analyzing and Visualizing Symptom Checker Performance | Marvin Kopka |
| symSEM | 0.2 | Symbolic Computation for Structural Equation Models | Mike Cheung |
| SymTS | 1.0-2 | Symmetric Tempered Stable Distributions | Michael Grabchak |
| syn | 0.1.0 | Creates Synonyms From Target Words | Nicholas Tierney |
| synchronicity | 1.3.10 | Boost Mutex Functionality in R | Michael J. Kane |
| synchrony | 0.3.8 | Methods for Computing Spatial, Temporal, and Spatiotemporal
Statistics | Tarik C. Gouhier |
| SynchWave | 1.1.2 | Synchrosqueezed Wavelet Transform | Donghoh Kim |
| SyncMove | 0.1-0 | Subsample Temporal Data to Synchronal Events and Compute the MCI | Martin Rimmler |
| SyncRNG | 1.3.3 | A Synchronized Tausworthe RNG for R and Python | Gertjan van den Burg |
| SYNCSA | 1.3.4 | Analysis of Functional and Phylogenetic Patterns in
Metacommunities | Vanderlei Julio Debastiani |
| SynDI | 0.1.0 | Synthetic Data Integration | Michael Kleinsasser |
| synlik | 0.1.6 | Synthetic Likelihood Methods for Intractable Likelihoods | Matteo Fasiolo |
| synMicrodata | 2.0.0 | Synthetic Microdata Generator | Hang J. Kim |
| synr | 1.0.0 | Explore and Process Synesthesia Consistency Test Data | Lowe Wilsson |
| syntaxr | 0.8.0 | An 'SPSS' Syntax Generator for Multi-Variable Manipulation | Alix Lahuec |
| syntenyPlotteR | 1.0.0 | Genome Synteny Visualization | Marta Farre |
| Synth | 1.1-8 | Synthetic Control Group Method for Comparative Case Studies | Jens Hainmueller |
| synthACS | 1.7.1 | Synthetic Microdata and Spatial MicroSimulation Modeling for ACS
Data | Alex Whitworth |
| synthesis | 1.2.4 | Generate Synthetic Data from Statistical Models | Ze Jiang |
| synthesisr | 0.3.0 | Import, Assemble, and Deduplicate Bibliographic Datasets | Martin Westgate |
| SynthETIC | 1.1.0 | Synthetic Experience Tracking Insurance Claims | Melantha Wang |
| synthpop | 1.8-0 | Generating Synthetic Versions of Sensitive Microdata for
Statistical Disclosure Control | Beata Nowok |
| SynthTools | 1.0.1 | Tools and Tests for Experiments with Partially Synthetic Data
Sets | Charlotte Looby |
| sys | 3.4.2 | Powerful and Reliable Tools for Running System Commands in R | Jeroen Ooms |
| SyScSelection | 1.0.2 | Systematic Scenario Selection for Stress Testing | Merlin Kopfmann |
| sysfonts | 0.8.9 | Loading Fonts into R | Yixuan Qiu |
| sysid | 1.0.4 | System Identification in R | Suraj Yerramilli |
| syslognet | 0.1.2.1 | Send Log Messages to Remote 'syslog' Server | Panagiotis Cheilaris |
| Sysrecon | 0.1.3 | Systematical Metabolic Reconstruction | Shilin Ouyang |
| systemfit | 1.1-30 | Estimating Systems of Simultaneous Equations | Arne Henningsen |
| systemfonts | 1.0.6 | System Native Font Finding | Thomas Lin Pedersen |
| SystemicR | 0.1.0 | Monitoring Systemic Risk | Jean-Baptiste Hasse |
| syt | 0.3.0 | Standard Young Tableaux | Stéphane Laurent |
| syuzhet | 1.0.7 | Extracts Sentiment and Sentiment-Derived Plot Arcs from Text | Matthew Jockers |
| T2EQ | 1.1 | Functions for Applying the T^2-Test for Equivalence | Thomas Hoffelder |
| T2Qv | 0.2.0 | Control Qualitative Variables | Wilson Rojas-Preciado |
| T4cluster | 0.1.2 | Tools for Cluster Analysis | Kisung You |
| T4transport | 0.1.2 | Tools for Computational Optimal Transport | Kisung You |
| tab | 5.1.1 | Create Summary Tables for Statistical Reports | Dane R. Van Domelen |
| Taba | 1.0.0 | Taba Robust Correlations | Derek Wilus |
| tabbycat | 0.18.0 | Tabulate and Summarise Categorical Data | Oliver Hawkins |
| taber | 0.1.2 | Split and Recombine Your Data | Seth Wenchel |
| tabit | 0.2.1 | Simple Tabulation Made Simple | Peter Meissner |
| tablaxlsx | 1.2.5 | Write Formatted Tables in Excel Workbooks | Jesus Maria Rodriguez Rodriguez |
| table.express | 0.4.2 | Build 'data.table' Expressions with Data Manipulation Verbs | Alexis Sarda-Espinosa |
| table.glue | 0.0.3 | Make and Apply Customized Rounding Specifications for Tables | Byron Jaeger |
| table1 | 1.4.3 | Tables of Descriptive Statistics in HTML | Benjamin Rich |
| Table1Heatmap | 1.2 | Table 1 Heatmap | Philip C Schouten |
| tablecompare | 0.1.1 | Compare Data Frames | Ryan Dickerson |
| tabledown | 0.0.3 | Create Publication Quality Tables and Plots | Mushfiqul Anwar Siraji |
| tableeasy | 1.1.2 | Tables of Clinical Study | Jian Hang Zheng <1040854241 at qq.com> |
| tableExtra | 1.0.1 | Draws an Awesome Table | Yoann Pradat |
| TableHC | 0.1.2 | Higher Criticism Test of Two Frequency Counts Tables | Alon Kipnis |
| tableHTML | 2.1.2 | A Tool to Create HTML Tables | Theo Boutaris |
| tableMatrix | 0.82.0 | Combines 'data.table' and 'matrix' Classes | Petr Lenhard |
| TableMonster | 1.7 | Table Monster | Grant Izmirlian Jr |
| tableone | 0.13.2 | Create 'Table 1' to Describe Baseline Characteristics with or
without Propensity Score Weights | Kazuki Yoshida |
| tablerDash | 0.1.0 | 'Tabler' API for 'Shiny' | David Granjon |
| tables | 0.9.17 | Formula-Driven Table Generation | Duncan Murdoch |
| tableschema.r | 1.1.2 | Table Schema 'Frictionless Data' | Kleanthis Koupidis |
| tablesgg | 0.9-1 | Presentation-Quality Tables, Displayed Using 'ggplot2' | Richard Raubertas |
| tablet | 0.6.8 | Tabulate Descriptive Statistics in Multiple Formats | Tim Bergsma |
| TableToLongForm | 1.3.2 | Automatically Convert Hierarchical for-Human Tables to
Machine-Readable LongForm Dataframes | Jimmy Oh |
| tablexlsx | 0.1.0 | Export Data Frames to Excel Workbook | Damien Dotta |
| tabnet | 0.5.0 | Fit 'TabNet' Models for Classification and Regression | Christophe Regouby |
| taboolaR | 0.1.0 | Get Data from 'Taboola' via the 'Windsor.ai' API | Pablo Sanchez |
| tabr | 0.4.9 | Music Notation Syntax, Manipulation, Analysis and Transcription
in R | Matthew Leonawicz |
| tabshiftr | 0.4.1 | Reshape Disorganised Messy Data | Steffen Ehrmann |
| tabula | 3.0.1 | Analysis and Visualization of Archaeological Count Data | Nicolas Frerebeau |
| tabularaster | 0.7.2 | Tidy Tools for 'Raster' Data | Michael D. Sumner |
| tabularmaps | 0.1.0 | Create Tile-Grid Geographical Maps | Shinya Uryu |
| tabularMLC | 0.0.3 | Tabular Maximum Likelihood Classifier | Caio Hamamura |
| tabulate | 0.1.0 | Pretty Console Output for Tables | Daniel Falbel |
| tabulator | 1.0.0 | Efficient Tabulation with Stata-Like Output | Sean Higgins |
| tabulog | 0.1.1 | Parsing Semi-Structured Log Files into Tabular Format | Austin Nar |
| tabuSearch | 1.1.1 | Tabu Search Algorithm for Binary Configurations | Katarina Domijan |
| tabxplor | 1.1.3 | User-Friendly Tables with Color Helpers for Data Exploration | Brice Nocenti |
| tacmagic | 0.3.1 | Positron Emission Tomography Time-Activity Curve Analysis | Eric Brown |
| tactile | 0.2.1 | New and Extended Plots, Methods, and Panel Functions for
'lattice' | Johan Larsson |
| tada | 2024.1.0 | Supporting Tools for Tada Science | Romain François |
| TAF | 4.2.0 | Transparent Assessment Framework for Reproducible Research | Arni Magnusson |
| TAG | 0.5.1 | Transformed Additive Gaussian Processes | Li-Hsiang Lin |
| tagcloud | 0.6 | Tag Clouds | January Weiner |
| tagr | 1.0.1 | Tagging and Organizing Objects in R | Joachim Zuckarelli |
| tagtools | 0.1.0 | Work with Data from High-Resolution Biologging Tags | Stacy DeRuiter |
| TailClassifier | 0.1.1 | Tail Classifier | Jialin Zhang (JZ) |
| tailDepFun | 1.0.1 | Minimum Distance Estimation of Tail Dependence Models | Anna Kiriliouk |
| tailloss | 1.0 | Estimate the Probability in the Upper Tail of the Aggregate Loss
Distribution | Isabella Gollini |
| TailRank | 3.2.2 | The Tail-Rank Statistic | Kevin R. Coombes |
| tailTransform | 1.0.4 | Symmetric Transformation of Tails for Plotting Differences | Paul R. Rosenbaum |
| taipan | 0.1.2 | Tool for Annotating Images in Preparation for Analysis | Stephanie Kobakian |
| takos | 0.2.0 | Analysis of Differential Calorimetry Scans | Serena Berretta |
| TAM | 4.2-21 | Test Analysis Modules | Alexander Robitzsch |
| tame | 0.0.1 | Timing, Anatomical, Therapeutic and Chemical Based Medication
Clustering | Anna Laksafoss |
| tanaka | 0.4.0 | Design Shaded Contour Lines (or Tanaka) Maps | Timothée Giraud |
| TANDEM | 1.0.3 | A Two-Stage Approach to Maximize Interpretability of Drug
Response Models Based on Multiple Molecular Data Types | Nanne Aben |
| TangledFeatures | 0.1.1 | Feature Selection in Highly Correlated Spaces | Allen Sunny |
| TangPoemR | 0.1.0 | Write Chinese Tang Poems | Yongyuan Liang |
| tangram | 0.8.2 | The Grammar of Tables | Shawn Garbett |
| tangram.pipe | 1.1.2 | Row-by-Row Table Building | Andrew Guide |
| TapeR | 0.5.3 | Flexible Tree Taper Curves Based on Semiparametric Mixed Models | Christian Vonderach |
| TapeS | 0.12.1 | Tree Taper Curves and Sorting Based on 'TapeR' | Christian Vonderach |
| tapkee | 1.2 | Wrapper for 'tapkee' Dimension Reduction Library | Alexey Shipunov |
| tapnet | 0.3 | Trait Matching and Abundance for Predicting Bipartite Networks | Carsten Dormann |
| TAQMNGR | 2018.5-1 | Manage Tick-by-Tick Transaction Data | Fabrizio Cipollini |
| TAR | 1.0 | Bayesian Modeling of Autoregressive Threshold Time Series Models | Hanwen Zhang |
| tarchetypes | 0.8.0 | Archetypes for Targets | William Michael Landau |
| tardis | 0.1.4 | Text Analysis with Rules and Dictionaries for Inferring
Sentiment | Christopher Belanger |
| targeted | 0.5 | Targeted Inference | Klaus K. Holst |
| targets | 1.6.0 | Dynamic Function-Oriented 'Make'-Like Declarative Pipelines | William Michael Landau |
| Tariff | 1.0.5 | Replicate Tariff Method for Verbal Autopsy | Zehang Li |
| TAShiny | 0.1.0 | 'Text Analyzer Shiny' | Kartikeya Bolar |
| tashu | 0.1.1 | Analysis and Prediction of Bicycle Rental Amount | Jiwon Min |
| taskscheduleR | 1.8 | Schedule R Scripts and Processes with the Windows Task Scheduler | Jan Wijffels |
| tastypie | 0.1.1 | Easy Pie Charts | Paolo Dalena |
| tatest | 1.0 | Two-Group Ta-Test | Yuan-De Tan |
| tatoo | 1.1.2 | Combine and Export Data Frames | Stefan Fleck |
| tau | 0.0-25 | Text Analysis Utilities | Kurt Hornik |
| tauProcess | 2.1.3 | Tau Measure with Right-Censored Data | Yi-Cheng Tai |
| tauturri | 0.3.0 | Get Data Out of 'Tautulli' (Formerly 'PlexPy') | Lukas Burk |
| taxa | 0.4.3 | Classes for Storing and Manipulating Taxonomic Data | Zachary Foster |
| taxadb | 0.2.1 | A High-Performance Local Taxonomic Database Interface | Carl Boettiger |
| taxalight | 0.1.5 | A Lightweight and Lightning-Fast Taxonomic Naming Interface | Carl Boettiger |
| TaxaNorm | 2.4 | Feature-Wise Normalization for Microbiome Sequencing Data | Dillon Lloyd |
| TaxicabCA | 0.1.1 | Taxicab Correspondence Analysis | Jacques Allard |
| taxize | 0.9.100 | Taxonomic Information from Around the Web | Zachary Foster |
| taxizedb | 0.3.1 | Tools for Working with 'Taxonomic' Databases | Tamás Stirling |
| taxlist | 0.2.4 | Handling Taxonomic Lists | Miguel Alvarez |
| taxonbridge | 1.2.2 | Create Custom Taxonomies Based on the NCBI Taxonomy and GBIF
Backbone Taxonomy | Werner Veldsman |
| taxonomizr | 0.10.6 | Functions to Work with NCBI Accessions and Taxonomy | Scott Sherrill-Mix |
| taxotools | 0.0.139 | Taxonomic List Processing | Vijay Barve |
| taylor | 3.0.0 | Lyrics and Song Data for Taylor Swift's Discography | W. Jake Thompson |
| TaylorRussell | 1.2.1 | A Taylor-Russell Function for Multiple Predictors | Niels Waller |
| tayloRswift | 0.1.0 | Color Palettes Generated by Taylor Swift Albums | Alex Stephenson |
| tbd | 0.1.0 | Estimation of Causal Effects with Outcomes Truncated by Death | Zhixuan Shao |
| TBEST | 5.2 | Tree Branches Evaluated Statistically for Tightness | Guoli Sun |
| TBFmultinomial | 0.1.3 | TBF Methodology Extension for Multinomial Outcomes | Rachel Heyard |
| tbl2xts | 1.0.4 | Convert Tibbles or Data Frames to Xts Easily | Nico Katzke |
| tbm | 0.3-5 | Transformation Boosting Machines | Torsten Hothorn |
| tboot | 0.2.1 | Tilted Bootstrap | Nathan Morris |
| TBRDist | 1.0.2 | Rearrangement Distances Between Unrooted Phylogenetic Trees | Martin R. Smith |
| tbrf | 0.1.5 | Time-Based Rolling Functions | Michael Schramm |
| TCA | 1.2.1 | Tensor Composition Analysis | Elior Rahmani |
| tcftt | 0.1.0 | Two-Sample Tests for Skewed Data | Huaiyu Zhang |
| TCGAretriever | 1.9.1 | Retrieve Genomic and Clinical Data from CBioPortal Including
TCGA Data | Damiano Fantini |
| tcgaViz | 1.0.2 | Visualization Tool for the Cancer Genome Atlas Program (TCGA) | Etienne Camenen |
| TcGSA | 0.12.10 | Time-Course Gene Set Analysis | Boris P Hejblum |
| TCHazaRds | 1.0 | Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling | Julian O'Grady |
| tci | 0.2.0 | Target Controlled Infusion (TCI) | Ryan Jarrett |
| TCIApathfinder | 1.0.6 | Client for the Cancer Imaging Archive REST API | Pamela Russell |
| TCIU | 1.2.5 | Spacekime Analytics, Time Complexity and Inferential Uncertainty | Yongkai Qiu |
| tcl | 0.2.0 | Testing in Conditional Likelihood Context | Clemens Draxler |
| tcltk2 | 1.2-11 | Tcl/Tk Additions | Philippe Grosjean |
| tclust | 1.5-6 | Robust Trimmed Clustering | Valentin Todorov |
| Tcomp | 1.0.1 | Data from the 2010 Tourism Forecasting Competition | Peter Ellis |
| tcpl | 3.1.0 | ToxCast Data Analysis Pipeline | Jason Brown |
| tcplfit2 | 0.1.6 | Concentration-Response Modeling of HTS or Transcriptomics Data | Jason Brown |
| TCPMOR | 1.0 | Two Cut-Points with Maximum Odds Ratio | Shuo Yang |
| td | 0.0.6 | Access to the 'twelvedata' Financial Data API | Dirk Eddelbuettel |
| TDA | 1.9.1 | Statistical Tools for Topological Data Analysis | Jisu Kim |
| TDAkit | 0.1.2 | Toolkit for Topological Data Analysis | Kisung You |
| TDApplied | 3.0.3 | Machine Learning and Inference for Topological Data Analysis | Shael Brown |
| TDAstats | 0.4.1 | Pipeline for Topological Data Analysis | Raoul Wadhwa |
| tdata | 0.3.0 | Prepare Your Time-Series Data for Further Analysis | Ramin Mojab |
| tdaunif | 0.1.1 | Uniform Manifold Samplers for Topological Data Analysis | Jason Cory Brunson |
| TDAvec | 0.1.3 | Vector Summaries of Persistence Diagrams | Alexey Luchinsky |
| TDbook | 0.0.6 | Companion Package for the Book "Data Integration, Manipulation
and Visualization of Phylogenetic Trees" by Guangchuang Yu
(2022, ISBN:9781032233574) | Guangchuang Yu |
| TDboost | 1.5 | A Boosted Tweedie Compound Poisson Model | Yi Yang |
| TDCM | 0.1.0 | The Transition Diagnostic Classification Model Framework | Michael E. Cotterell |
| tdcmStan | 3.0.0 | Automating the Creation of Stan Code for TDCMs | Jeffrey Hoover |
| TDCor | 0.1-2 | Gene Network Inference from Time-Series Transcriptomic Data | Mikael Lucas |
| tdigest | 0.4.1 | Wicked Fast, Accurate Quantiles Using t-Digests | Bob Rudis |
| TDLM | 1.0.0 | Systematic Comparison of Trip Distribution Laws and Models | Maxime Lenormand |
| TDPanalysis | 1.0 | Granier's Sap Flow Sensors (TDP) Analysis | Maxime Durand |
| tdr | 0.13 | Target Diagram | Oscar Perpinan Lamigueiro |
| tdROC | 2.0 | Nonparametric Estimation of Time-Dependent ROC, Brier Score, and
Survival Difference from Right Censored Time-to-Event Data with
or without Competing Risks | Xiaoyang Li |
| tdsa | 1.1-0 | Time-Dependent Sensitivity Analysis | Wee Hao Ng |
| tdsc | 1.0.4 | Time Domain Signal Coding | Ed Baker |
| tdthap | 1.3 | TDT Tests for Extended Haplotypes | Jing Hua Zhao |
| TE | 0.3-0 | Insertion/Deletion Dynamics for Transposable Elements | Xiongtao Dai |
| tea | 1.1 | Threshold Estimation Approaches | Johannes Ossberger |
| TeachHist | 0.2.1 | A Collection of Amended Histograms Designed for Teaching
Statistics | Carsten Lange |
| TeachingDemos | 2.13 | Demonstrations for Teaching and Learning | Greg Snow <538280 at gmail.com> |
| TeachingSampling | 4.1.1 | Selection of Samples and Parameter Estimation in Finite
Population | Hugo Andres Gutierrez Rojas |
| TeachNet | 0.7.1 | Fits Neural Networks to Learn About Backpropagation | Georg Steinbuss |
| teal | 0.15.2 | Exploratory Web Apps for Analyzing Clinical Trials Data | Dawid Kaledkowski |
| teal.code | 0.5.0 | Code Storage and Execution Class for 'teal' Applications | Dawid Kaledkowski |
| teal.data | 0.5.0 | Data Model for 'teal' Applications | Dawid Kaledkowski |
| teal.logger | 0.2.0 | Logging Setup for the 'teal' Family of Packages | Dawid Kaledkowski |
| teal.modules.clinical | 0.9.0 | 'teal' Modules for Standard Clinical Outputs | Joe Zhu |
| teal.modules.general | 0.3.0 | General Modules for 'teal' Applications | Dawid Kaledkowski |
| teal.reporter | 0.3.1 | Reporting Tools for 'shiny' Modules | Dawid Kaledkowski |
| teal.slice | 0.5.0 | Filter Module for 'teal' Applications | Dawid Kaledkowski |
| teal.transform | 0.5.0 | Functions for Extracting and Merging Data in the 'teal'
Framework | Dawid Kaledkowski |
| teal.widgets | 0.4.2 | 'shiny' Widgets for 'teal' Applications | Dawid Kaledkowski |
| tealeaves | 1.0.6 | Solve for Leaf Temperature Using Energy Balance | Chris Muir |
| TEAM | 0.1.0 | Multiple Hypothesis Testing on an Aggregation Tree Method | John Pura |
| teamcolors | 0.0.4 | Color Palettes for Pro Sports Teams | Benjamin S. Baumer |
| teamr | 0.0.1 | Send Formatted Messages, Images and Objects to Microsoft 'Teams' | Michael Yan |
| tectonicr | 0.2.95 | Analyzing the Orientation of Maximum Horizontal Stress | Tobias Stephan |
| teda | 0.1.1 | An Implementation of the Typicality and Eccentricity Data
Analysis Framework | David Ciar |
| tehtuner | 0.3.0 | Fit and Tune Models to Detect Treatment Effect Heterogeneity | Jack Wolf |
| teigen | 2.2.2 | Model-Based Clustering and Classification with the Multivariate
t Distribution | Jeffrey L. Andrews |
| Tejapi | 1.0.1 | API Wrapper for Taiwan Economic Journal Data Service | Peter Young |
| telefit | 1.0.3 | Estimation and Prediction for Remote Effects Spatial Process
Models | Joshua Hewitt |
| telegram | 0.6.0 | R Wrapper Around the Telegram Bot API | Luca Braglia |
| telegram.bot | 3.0.0 | Develop a 'Telegram Bot' with R | Ernest Benedito |
| telemetR | 1.0 | Filter and Analyze Generalised Telemetry Data from Organisms | Taylor Spaulding |
| TELP | 1.0.2 | Social Representation Theory Application: The Free Evocation of
Words Technique | Gabriel Henrique Oliveira Assuncao |
| TempCont | 0.1.0 | Temporal Contributions on Trends using Mixed Models | Marcos Fernández-Martínez |
| tempdisagg | 1.1.1 | Methods for Temporal Disaggregation and Interpolation of Time
Series | Christoph Sax |
| temperatureresponse | 0.2 | Temperature Response | Etienne Low-Decarie |
| templateICAr | 0.6.4 | Estimate Brain Networks and Connectivity with ICA and Empirical
Priors | Amanda Mejia |
| templates | 0.4.0 | A System for Working with Templates | Sebastian Warnholz |
| templr | 0.2-0 | MASCOTNUM Algorithms Template Tools | Yann Richet |
| Temporal | 0.3.0.1 | Parametric Time to Event Analysis | Zachary McCaw |
| TemporalGSSA | 1.0.1 | Outputs Temporal Profile of Molecules from Stochastic Simulation
Algorithm Generated Datasets | Siddhartha Kundu |
| tempR | 0.9.9.23 | Temporal Sensory Data Analysis | J.C. Castura |
| TempStable | 0.2.2 | A Collection of Methods to Estimate Parameters of Different
Tempered Stable Distributions | Till Massing |
| tempted | 0.1.0 | Temporal Tensor Decomposition, a Dimensionality Reduction Tool
for Longitudinal Multivariate Data | Pixu Shi |
| Tendril | 2.0.4 | Compute and Display Tendril Plots | Stefano Borini |
| tenispolaR | 0.1.4 | Provides ZENIT-POLAR Substitution Cipher Method of Encryption | Adelmo Filho |
| tensor | 1.5 | Tensor product of arrays | Jonathan Rougier |
| tensorA | 0.36.2.1 | Advanced Tensor Arithmetic with Named Indices | K. Gerald van den Boogaart |
| tensorBF | 1.0.2 | Bayesian Tensor Factorization | Suleiman A Khan |
| tensorBSS | 0.3.8 | Blind Source Separation Methods for Tensor-Valued Observations | Joni Virta |
| TensorClustering | 1.0.2 | Model-Based Tensor Clustering | Kai Deng |
| TensorComplete | 0.2.0 | Tensor Noise Reduction and Completion Methods | Chanwoo Lee |
| tensorEVD | 0.1.1 | A Fast Algorithm to Factorize High-Dimensional Tensor Product
Matrices | Marco Lopez-Cruz |
| tensorflow | 2.15.0 | R Interface to 'TensorFlow' | Tomasz Kalinowski |
| tensorMiss | 1.1.1 | Handle Missing Tensor Data with C++ Integration | Zetai Cen |
| TensorPreAve | 1.1.0 | Rank and Factor Loadings Estimation in Time Series Tensor Factor
Models | Weilin Chen |
| tensorregress | 5.1 | Supervised Tensor Decomposition with Side Information | Jiaxin Hu |
| tensorsparse | 3.0 | Multiway Clustering via Tensor Block Models | Yuchen Zeng |
| TensorTest2D | 1.1.1 | Fitting Second-Order Tensor Data | Mark Chen |
| tensorTS | 1.0.1 | Factor and Autoregressive Models for Tensor Time Series | Zebang Li |
| tensr | 1.0.1 | Covariance Inference and Decompositions for Tensor Datasets | David Gerard |
| TEQR | 6.0-0 | Target Equivalence Range Design | M. Suzette Blanchard |
| tergm | 4.2.0 | Fit, Simulate and Diagnose Models for Network Evolution Based on
Exponential-Family Random Graph Models | Pavel N. Krivitsky |
| tergmLite | 2.6.1 | Fast Simulation of Simple Temporal Exponential Random Graph
Models | Samuel M. Jenness |
| term | 0.3.5 | Create, Manipulate and Query Parameter Terms | Joe Thorley |
| terminaldigits | 0.1.0 | Tests of Uniformity and Independence for Terminal Digits | Josh McCormick |
| tern | 0.9.3 | Create Common TLGs Used in Clinical Trials | Joe Zhu |
| tern.gee | 0.1.3 | Tables and Graphs for Generalized Estimating Equations (GEE)
Model Fits | Daniel Sabanés Bové |
| tern.mmrm | 0.3.0 | Tables and Graphs for Mixed Models for Repeated Measures (MMRM) | Daniel Sabanés Bové |
| Ternary | 2.3.1 | Create Ternary and Holdridge Plots | Martin R. Smith |
| ternvis | 1.2 | Visualisation, Verification and Calibration of Ternary
Probabilistic Forecasts | Tim Jupp |
| terra | 1.7-71 | Spatial Data Analysis | Robert J. Hijmans |
| terrainmeshr | 0.1.0 | Triangulate and Simplify 3D Terrain Meshes | Tyler Morgan-Wall |
| terrainr | 0.7.5 | Landscape Visualizations in R and 'Unity' | Michael Mahoney |
| TesiproV | 0.9.2 | Calculation of Reliability and Failure Probability in Civil
Engineering | Konstantin Nille-Hauf |
| TESS | 2.1.2 | Diversification Rate Estimation and Fast Simulation of
Reconstructed Phylogenetic Trees under Tree-Wide
Time-Heterogeneous Birth-Death Processes Including
Mass-Extinction Events | Sebastian Hoehna |
| tessellation | 2.3.0 | Delaunay and Voronoï Tessellations | Stéphane Laurent |
| tesselle | 1.4.0 | Easily Install and Load 'tesselle' Packages | Nicolas Frerebeau |
| tesseract | 5.2.1 | Open Source OCR Engine | Jeroen Ooms |
| test2norm | 0.2.1 | Normative Standards for Cognitive Tests | Anya Umlauf |
| TestAnaAPP | 0.1.8 | The 'shiny' App for Test Analysis and Visualization | Youxiang Jiang |
| testarguments | 0.0.1 | Test (Multiple) Arguments of a User-Defined Prediction Algorithm | Matthew Sainsbury-Dale |
| testassay | 0.1.1 | A Hypothesis Testing Framework for Validating an Assay for
Precision | Michael C Sachs |
| testCompareR | 1.0.2 | Comparing Two Diagnostic Tests with Dichotomous Results using
Paired Data | Kyle J. Wilson |
| TestCor | 0.0.2.2 | FWER and FDR Controlling Procedures for Multiple Correlation
Tests | Gannaz Irene |
| testcorr | 0.2.0 | Testing Zero Correlation | Violetta Dalla |
| testdat | 0.4.2 | Data Unit Testing for R | Danny Smith |
| TestDataImputation | 2.3 | Missing Item Responses Imputation for Test and Assessment Data | Shenghai Dai |
| TestDesign | 1.6.1 | Optimal Test Design Approach to Fixed and Adaptive Test
Construction | Seung W. Choi |
| TestDimorph | 0.5.8 | Analysis of the Interpopulation Difference in Degree of Sexual
Dimorphism Using Summary Statistics | Bassam A. Abulnoor |
| testDriveR | 0.5.2 | Teaching Data for Statistics and Data Science | Christopher Prener |
| testequavar | 0.1.5 | Bootstrap Tests for Equality of 2, 3, or 4 Population Variances | Dexter Cahoy |
| tester | 0.2.0 | Tests and Checks Characteristics of R Objects | Frederic Bertrand |
| testex | 0.1.0 | Add Tests to Examples | Doug Kelkhoff |
| testforDEP | 0.2.0 | Dependence Tests for Two Variables | En-shuo Hsu |
| TestFunctions | 0.2.1 | Test Functions for Simulation Experiments and Evaluating
Optimization and Emulation Algorithms | Collin Erickson |
| TestGardener | 3.3.3 | Information Analysis for Test and Rating Scale Data | James Ramsay |
| TestGenerator | 0.2.5 | Integration Unit Tests for Pharmacoepidemiological Studies | Cesar Barboza |
| TestingSimilarity | 1.1 | Bootstrap Test for the Similarity of Dose Response Curves
Concerning the Maximum Absolute Deviation | Kathrin Moellenhoff |
| testit | 0.13 | A Simple Package for Testing R Packages | Yihui Xie |
| TestScorer | 1.7.2 | GUI for Entering Test Items and Obtaining Raw and Transformed
Scores | Manel Salamero |
| TestsSymmetry | 1.0.0 | Tests for Symmetry when the Center of Symmetry is Unknown | Jiaojiao Zhou |
| testthat | 3.2.1 | Unit Testing for R | Hadley Wickham |
| testthatmulti | 0.1.0 | Testing for R Packages with Multiple Attempts for Noisy Tests | Collin Erickson |
| testthis | 1.1.1 | Utils and 'RStudio' Addins to Make Testing Even More Fun | Stefan Fleck |
| testtwice | 1.0.3 | Testing One Hypothesis Twice in Observational Studies | Paul R. Rosenbaum |
| tetraclasse | 0.1.21 | Satisfaction Analysis using Tetraclasse Model and Llosa Matrix | vincent guyader |
| tetragon | 1.3.0 | Automatic Sequence Prediction by Expansion of the Distance
Matrix | Giancarlo Vercellino |
| tetrascatt | 0.1.1 | Acoustic Scattering for Complex Shapes by Using the DWBA | Juan Domingo Gonzalez |
| Tex4exams | 0.1.2 | Generating 'Sweave' Code for 'R/exams' Questions in Mathematics | Qingwen Hu |
| TeXCheckR | 0.8.1 | Parses LaTeX Documents for Errors | Hugh Parsonage |
| TexExamRandomizer | 1.2.7 | Personalizes and Randomizes Exams Written in 'LaTeX' | Alejandro Gonzalez Recuenco |
| texmex | 2.4.9 | Statistical Modelling of Extreme Values | Harry Southworth |
| texor | 1.3.0 | Converting 'LaTeX' 'R Journal' Articles into 'RJ-web-articles' | Abhishek Ulayil |
| TExPosition | 2.6.10.1 | Two-Table ExPosition | Derek Beaton |
| texPreview | 2.1.0 | Compile and Preview Snippets of 'LaTeX' | Jonathan Sidi |
| texreg | 1.39.3 | Conversion of R Regression Output to LaTeX or HTML Tables | Philip Leifeld |
| text | 1.2.0 | Analyses of Text using Transformers Models from HuggingFace,
Natural Language Processing and Machine Learning | Oscar Kjell |
| text.alignment | 0.1.4 | Text Alignment with Smith-Waterman | Jan Wijffels |
| text2map | 0.1.9 | R Tools for Text Matrices, Embeddings, and Networks | Dustin Stoltz |
| text2sdg | 1.1.1 | Detecting UN Sustainable Development Goals in Text | Dominik S. Meier |
| text2sdgData | 0.1.1 | Contains the Trained 'text2sdg' Ensemble Model Data | Dominik S. Meier |
| text2speech | 1.0.0 | Text to Speech Conversion | Howard Baek |
| text2vec | 0.6.4 | Modern Text Mining Framework for R | Dmitriy Selivanov |
| textab | 1.0.1 | Create Highly-Customized 'LaTeX' Tables | Bradley Setzler |
| textBoxPlacement | 1.0 | Compute a Non-Overlapping Layout of Text Boxes to Label Multiple
Overlain Plots | Barry Zeeberg |
| textcat | 1.0-8 | N-Gram Based Text Categorization | Kurt Hornik |
| textclean | 0.9.3 | Text Cleaning Tools | Tyler Rinker |
| textdata | 0.4.4 | Download and Load Various Text Datasets | Emil Hvitfeldt |
| texteffect | 0.3 | Discovering Latent Treatments in Text Corpora and Estimating
Their Causal Effects | Christian Fong |
| texter | 0.1.9 | An Easy Text and Sentiment Analysis Library | Simi Kafaru |
| TextForecast | 0.1.3 | Regression Analysis and Forecasting Using Textual Data from a
Time-Varying Dictionary | Lucas Godeiro |
| textgRid | 1.0.1 | Praat TextGrid Objects in R | Patrick Reidy |
| textile | 0.1.4 | Textile Images | Anh Bui |
| textir | 2.0-5 | Inverse Regression for Text Analysis | Matt Taddy |
| textmineR | 3.0.5 | Functions for Text Mining and Topic Modeling | Tommy Jones |
| TextMiningGUI | 0.3 | Text Mining GUI Interface | Conrado Reyes |
| textometry | 0.1.6 | Textual Data Analysis Package Used by the TXM Software | Matthieu Decorde |
| textplot | 0.2.2 | Text Plots | Jan Wijffels |
| textrank | 0.3.1 | Summarize Text by Ranking Sentences and Finding Keywords | Jan Wijffels |
| textrecipes | 1.0.6 | Extra 'Recipes' for Text Processing | Emil Hvitfeldt |
| textreg | 0.1.5 | n-Gram Text Regression, aka Concise Comparative Summarization | Luke Miratrix |
| textreuse | 0.1.5 | Detect Text Reuse and Document Similarity | Lincoln Mullen |
| textshape | 1.7.5 | Tools for Reshaping Text | Tyler Rinker |
| textshaping | 0.3.7 | Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text
Shaping | Thomas Lin Pedersen |
| textstem | 0.1.4 | Tools for Stemming and Lemmatizing Text | Tyler Rinker |
| textTinyR | 1.1.8 | Text Processing for Small or Big Data Files | Lampros Mouselimis |
| textTools | 0.1.0 | Functions for Text Cleansing and Text Analysis | Timothy Conwell |
| textutils | 0.4-1 | Utilities for Handling Strings and Text | Enrico Schumann |
| tf | 0.3.3 | S3 Classes and Methods for Tidy Functional Data | Fabian Scheipl |
| TFactSR | 0.99.0 | Enrichment Approach to Predict Which Transcription Factors are
Regulated | Atsushi Fukushima |
| tfaddons | 0.10.0 | Interface to 'TensorFlow SIG Addons' | Turgut Abdullayev |
| tfarima | 0.3.2 | Transfer Function and ARIMA Models | Jose L. Gallego |
| tfautograph | 0.3.2 | Autograph R for 'Tensorflow' | Tomasz Kalinowski |
| tfCox | 0.1.0 | Fits Piecewise Polynomial with Data-Adaptive Knots in Cox Model | Jiacheng Wu |
| tfdatasets | 2.9.0 | Interface to 'TensorFlow' Datasets | Tomasz Kalinowski |
| tfdeploy | 0.6.1 | Deploy 'TensorFlow' Models | Daniel Falbel |
| tfer | 1.3 | Forensic Glass Transfer Probabilities | James Curran |
| tfestimators | 1.9.2 | Interface to 'TensorFlow' Estimators | Tomasz Kalinowski |
| tfevents | 0.0.2 | Write Events for 'TensorBoard' | Daniel Falbel |
| tfhub | 0.8.1 | Interface to 'TensorFlow' Hub | Tomasz Kalinowski |
| tfio | 0.4.1 | Interface to 'TensorFlow IO' | Yuan Tang |
| TFisher | 0.2.0 | Optimal Thresholding Fisher's P-Value Combination Method | Hong Zhang |
| TFMPvalue | 0.0.9 | Efficient and Accurate P-Value Computation for Position Weight
Matrices | Ge Tan |
| tfNeuralODE | 0.1.0 | Create Neural Ordinary Differential Equations with 'tensorflow' | Shayaan Emran |
| tfplot | 2021.6-1 | Time Frame User Utilities | Paul Gilbert |
| tfprobability | 0.15.1 | Interface to 'TensorFlow Probability' | Tomasz Kalinowski |
| tframe | 2015.12-1.1 | Time Frame Coding Kernel | Paul Gilbert |
| tframePlus | 2024.2-1 | Time Frame Coding Kernel Extensions | Paul Gilbert |
| TFRE | 0.1.0 | A Tuning-Free Robust and Efficient Approach to High-Dimensional
Regression | Yunan Wu |
| tfrmt | 0.1.1 | Applies Display Metadata to Analysis Results Datasets | Becca Krouse |
| tfrmtbuilder | 0.0.6 | 'shiny' App Companion to the 'tfrmt' Package | Becca Krouse |
| tfruns | 1.5.2 | Training Run Tools for 'TensorFlow' | Tomasz Kalinowski |
| TFunHDDC | 1.0.1 | Clustering of Functional Data via Mixtures of t-Distributions | Cristina Anton |
| tgamtheme | 0.1.0 | Globe and Mail Graphics Theme for 'ggplot2' | Tom Cardoso |
| tgcd | 2.7 | Thermoluminescence Glow Curve Deconvolution | Jun Peng |
| tggd | 0.1.1 | The Standard Distribution Functions for the Truncated
Generalised Gamma Distribution | Aaron Robotham |
| tglkmeans | 0.5.4 | Efficient Implementation of K-Means++ Algorithm | Aviezer Lifshitz |
| tgp | 2.4-22 | Bayesian Treed Gaussian Process Models | Robert B. Gramacy |
| tgram | 0.2-3 | Compute and Plot Tracheidograms | Marcelino de la Cruz |
| TGS | 1.0.1 | Rapid Reconstruction of Time-Varying Gene Regulatory Networks | Saptarshi Pyne |
| TGST | 1.0 | Targeted Gold Standard Testing | Yizhen Xu |
| tgstat | 2.3.27 | Amos Tanay's Group High Performance Statistical Utilities | Aviezer Lifshitz |
| tgver | 0.3.0 | Turing Geovisualization Engine R package | Layik Hama |
| TH.data | 1.1-2 | TH's Data Archive | Torsten Hothorn |
| thaipdf | 0.1.2 | R Markdown to PDF in Thai Language | Kittipos Sirivongrungson |
| thames | 0.1.1 | Truncated Harmonic Mean Estimator of the Marginal Likelihood | Nicholas J. Irons |
| thankr | 1.0.0 | Find Out Who Maintains the Packages you Use | Dirk Schumacher |
| ThankYouStars | 0.2.0 | Give your Dependencies Stars on GitHub! | Naoto Koshimizu |
| theft | 0.6.1 | Tools for Handling Extraction of Features from Time Series | Trent Henderson |
| theftdlc | 0.1.0 | Analyse and Interpret Time Series Features | Trent Henderson |
| theiaR | 0.4.0 | Download and Manage Data from Theia | Xavier Laviron |
| thematic | 0.1.5 | Unified and Automatic 'Theming' of 'ggplot2', 'lattice', and
'base' R Graphics | Carson Sievert |
| themis | 1.0.2 | Extra Recipes Steps for Dealing with Unbalanced Data | Emil Hvitfeldt |
| TheOpenAIR | 0.1.0 | Integrate 'OpenAI' Large Language Models into Your 'R' Workflows | Ulrich Matter |
| ThermalSampleR | 0.1.2 | Calculate Sample Sizes Required for Critical Thermal Limits
Experiments | Clarke JM van Steenderen |
| Thermimage | 4.1.3 | Thermal Image Analysis | Glenn J. Tattersall |
| ThermIndex | 0.2.0 | Calculate Thermal Indexes | Francisco Jablinski Castelhano |
| Thermistor | 1.1.0 | The Simulation of the Thermistor Network | Yao Xiao |
| thermocouple | 1.0.2 | Temperature Measurement with Thermocouples, RTD and IC Sensors | Jose Gama |
| TheSFACE | 0.1.0 | The Subtype Free Average Causal Effect | Amit Sasson |
| thestats | 0.1.0 | R Package for Exploring Turkish Higher Education Statistics | Olgun Aydin |
| thewitcher | 1.0.1 | Palettes Inspired by the TV Show "The Witcher" | Lukas Graf |
| thgenetics | 0.4-2 | Genetic Rare Variants Tests | Thomas Hoffmann |
| thief | 0.3 | Temporal Hierarchical Forecasting | Rob Hyndman |
| thinkr | 0.16 | Tools for Cleaning Up Messy Files | Vincent Guyader |
| this.path | 2.4.0 | Get Executing Script's Path | Iris Simmons |
| ThomasJeffersonUniv | 0.1.0 | Handy Tools for TJU/TJUH Employees | Tingting Zhan |
| thor | 1.1.5 | Interface to 'LMDB' | Rich FitzJohn |
| thorn | 0.2.0 | 'HTMLwidgets' Displaying Some 'WebGL' Shaders | Stéphane Laurent |
| THREC | 1.0.0 | Tree Height Response Calibration for Swedish Forests | Friday Nwabueze Ogana |
| thredds | 0.1-4 | Crawler for Navigating THREDDS Catalogs | Emmanuel Blondel |
| ThreeArmedTrials | 1.0-4 | Design and Analysis of Clinical Non-Inferiority or Superiority
Trials with Active and Placebo Control | Tobias Mütze |
| ThreeGroups | 0.21 | ML Estimator for Baseline-Placebo-Treatment (Three-Group)
Experiments | Holger L. Kern |
| threejs | 0.3.3 | Interactive 3D Scatter Plots, Networks and Globes | B. W. Lewis |
| threesixtygiving | 0.2.2 | Download Charitable Grants from the '360Giving' Platform | Evan Odell |
| ThreeWay | 1.1.3 | Three-Way Component Analysis | Paolo Giordani |
| ThreeWiseMonkeys | 0.1.0 | The Japanese Pictorial Maxim "See No Evil, Hear No Evil, Speak
No Evil" | Greg Pilgrim |
| threewords | 0.1.0 | Represent Precise Coordinates in Three Words | Oliver Keyes |
| threg | 1.0.3 | Threshold Regression | Tao Xiao |
| thregI | 1.0.4 | Threshold Regression for Interval-Censored Data with a Cure Rate
Option | Man-Hua Chen |
| Thresher | 1.1.3 | Threshing and Reaping for Principal Components | Kevin R. Coombes |
| ThresholdROC | 2.9.3 | Optimum Threshold Estimation | Sara Perez-Jaume |
| ThresholdROCsurvival | 1.2.1 | Diagnostic Ability Assessment with Right-Censored Data at a
Fixed Time t | Sara Perez-Jaume |
| threshr | 1.0.5 | Threshold Selection and Uncertainty for Extreme Value Analysis | Paul J. Northrop |
| thriftr | 1.1.7 | Apache Thrift Client Server | Marek Jagielski |
| thunder | 1.1.3 | Computation and Visualisation of Atmospheric Convective
Parameters | Bartosz Czernecki |
| ThurMod | 1.1.11 | Thurstonian CFA and Thurstonian IRT Modeling | Markus Thomas Jansen |
| thurstonianIRT | 0.12.4 | Thurstonian IRT Models | Paul-Christian Bürkner |
| tibble | 3.2.1 | Simple Data Frames | Kirill Müller |
| tibbletime | 0.1.8 | Time Aware Tibbles | Davis Vaughan |
| tibblify | 0.3.1 | Rectangle Nested Lists | Maximilian Girlich |
| tictactoe | 0.2.2 | Tic-Tac-Toe Game | Kota Mori |
| tictoc | 1.2.1 | Functions for Timing R Scripts, as Well as Implementations of
"Stack" and "StackList" Structures | Sergei Izrailev |
| TideCurves | 0.0.5 | Analysis and Prediction of Tides | Moritz Mueller-Navarra |
| TideHarmonics | 0.1-1 | Harmonic Analysis of Tides | Alec Stephenson |
| Tides | 2.1 | Quasi-Periodic Time Series Characteristics | Tom Cox |
| TideTables | 0.0.3 | Tide Analysis and Prediction of Predominantly Semi-Diurnal Tides | Moritz Mueller-Navarra |
| tidier | 0.2.0 | Enhanced 'mutate' | Srikanth Komala Sheshachala |
| tidyAML | 0.0.5 | Automatic Machine Learning with 'tidymodels' | Steven Sanderson |
| tidybayes | 3.0.6 | Tidy Data and 'Geoms' for Bayesian Models | Matthew Kay |
| tidyBdE | 0.3.5 | Download Data from Bank of Spain | Diego H. Herrero |
| tidybins | 0.1.0 | Make Tidy Bins | Harrison Tietze |
| tidyboot | 0.1.1 | Tidyverse-Compatible Bootstrapping | Mika Braginsky |
| tidycat | 0.1.2 | Expand Tidy Output for Categorical Parameter Estimates | Guy J. Abel |
| tidyCDISC | 0.2.1 | Quick Table Generation & Exploratory Analyses on ADaM-Ish
Datasets | Aaron Clark |
| tidycensus | 1.6.3 | Load US Census Boundary and Attribute Data as 'tidyverse' and
'sf'-Ready Data Frames | Kyle Walker |
| tidycharts | 0.1.3 | Generate Tidy Charts Inspired by 'IBCS' | Bartosz Sawicki |
| tidyclust | 0.2.1 | A Common API to Clustering | Emil Hvitfeldt |
| tidycmprsk | 1.0.0 | Competing Risks Estimation | Daniel D. Sjoberg |
| tidycode | 0.1.1 | Analyze Lines of R Code the Tidy Way | Lucy D'Agostino McGowan |
| tidycomm | 0.4.1 | Data Modification and Analysis for Communication Research | Julian Unkel |
| tidyCpp | 0.0.7 | Tidy C++ Header-Only Definitions for Parts of the C API of R | Dirk Eddelbuettel |
| tidycwl | 1.0.7 | Tidy Common Workflow Language Tools and Workflows | Soner Koc |
| tidydann | 1.0.0 | Add the 'dann' Model and the 'sub_dann' Model to the Tidymodels
Ecosystem | Greg McMahan |
| tidydatatutor | 0.1.0 | Send Your R Code to 'Tidy Data Tutor' | Sean Kross |
| tidyDenovix | 2.1.0 | Cleans Spectrophotometry Data Obtained from the Denovix DS-11
Instrument | Tingwei Adeck |
| TidyDensity | 1.3.0 | Functions for Tidy Analysis and Generation of Random Data | Steven Sanderson |
| tidydice | 1.0.0 | Simulates Dice Rolls and Coin Flips | Roland Krasser |
| tidydr | 0.0.5 | Unify Dimensionality Reduction Results | Guangchuang Yu |
| tidyedgar | 1.0.1 | Tidy Fundamental Financial Data from 'SEC's 'EDGAR' 'API' | Gerard Gimenez-Adsuar |
| tidyEdSurvey | 0.1.2 | Integration of 'dplyr' and 'ggplot2' with 'EdSurvey' | Blue Webb |
| tidyEmoji | 0.1.1 | Discovers Emoji from Text | Youzhi Yu |
| tidyestimate | 1.1.1 | A Tidy Implementation of 'ESTIMATE' | Kai Aragaki |
| tidyfast | 0.4.0 | Fast Tidying of Data | Tyson Barrett |
| tidyfinance | 0.1.0 | Tidy Finance Helper Functions | Christoph Scheuch |
| tidyfit | 0.7.1 | Regularized Linear Modeling with Tidy Data | Johann Pfitzinger |
| tidyformula | 0.1.0 | Build Formulas Using Tidy Selection Helpers | Damian Pavlyshyn |
| tidyfst | 1.7.7 | Tidy Verbs for Fast Data Manipulation | Tian-Yuan Huang |
| tidyft | 0.5.7 | Fast and Memory Efficient Data Operations in Tidy Syntax | Tian-Yuan Huang |
| tidygam | 0.2.0 | Tidy Prediction and Plotting of Generalised Additive Models | Stefano Coretta |
| tidygapminder | 0.1.1 | Easily Tidy Gapminder Datasets | Anicet Ebou |
| tidygenomics | 0.1.2 | Tidy Verbs for Dealing with Genomic Data Frames | Constantin Ahlmann-Eltze |
| tidygeocoder | 1.0.5 | Geocoding Made Easy | Jesse Cambon |
| tidygeoRSS | 0.0.1 | Tidy GeoRSS | Robert Myles McDonnell |
| tidygraph | 1.3.1 | A Tidy API for Graph Manipulation | Thomas Lin Pedersen |
| tidyHeatmap | 1.8.1 | A Tidy Implementation of Heatmap | Stefano Mangiola |
| tidyheatmaps | 0.2.1 | Heatmaps from Tidy Data | Jan Broder Engler |
| tidyhte | 1.0.2 | Tidy Estimation of Heterogeneous Treatment Effects | Drew Dimmery |
| tidyhydat | 0.6.1 | Extract and Tidy Canadian 'Hydrometric' Data | Sam Albers |
| tidyindex | 0.1.0 | A Tidy Data Pipeline to Construct, Compare, and Analyse Indexes | H. Sherry Zhang |
| tidyjson | 0.3.2 | Tidy Complex 'JSON' | Cole Arendt |
| tidylda | 0.0.4 | Latent Dirichlet Allocation Using 'tidyverse' Conventions | Tommy Jones |
| tidylo | 0.2.0 | Weighted Tidy Log Odds Ratio | Julia Silge |
| tidylog | 1.0.2 | Logging for 'dplyr' and 'tidyr' Functions | Benjamin Elbers |
| tidyLPA | 1.1.0 | Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source
or Commercial Software | Joshua M Rosenberg |
| tidyMC | 1.0.0 | Monte Carlo Simulations Made Easy and Tidy | Stefan Linner |
| tidymodels | 1.2.0 | Easily Install and Load the 'Tidymodels' Packages | Max Kuhn |
| TidyMultiqc | 1.0.3 | Converts 'MultiQC' Reports into Tidy Data Frames | Michael Milton |
| tidymv | 3.4.2 | Tidy Model Visualisation for Generalised Additive Models | Stefano Coretta |
| tidync | 0.3.0 | A Tidy Approach to 'NetCDF' Data Exploration and Extraction | Michael Sumner |
| tidypaleo | 0.1.3 | Tidy Tools for Paleoenvironmental Archives | Dewey Dunnington |
| tidyplate | 1.1.0 | Transform Microplate Data into Tidy Dataframes | Shubham Dutta |
| tidyplus | 0.0.2 | Additional 'tidyverse' Functions | Joe Thorley |
| tidypmc | 1.7 | Parse Full Text XML Documents from PubMed Central | Chris Stubben |
| tidyposterior | 1.0.1 | Bayesian Analysis to Compare Models using Resampling Statistics | Max Kuhn |
| tidypredict | 0.5 | Run Predictions Inside the Database | Edgar Ruiz |
| tidyquant | 1.0.7 | Tidy Quantitative Financial Analysis | Matt Dancho |
| tidyquery | 0.2.4 | Query 'R' Data Frames with 'SQL' | Ian Cook |
| tidyqwi | 0.1.2 | A Convenient API for Accessing United States Census Bureau's
Quarterly Workforce Indicator | Michael DeWitt |
| tidyr | 1.3.1 | Tidy Messy Data | Hadley Wickham |
| tidyrates | 0.0.1 | Tidy Epidemiological Rates | Raphael Saldanha |
| tidyREDCap | 1.1.1 | Helper Functions for Working with 'REDCap' Data | Raymond Balise |
| tidyrgee | 0.1.0 | 'tidyverse' Methods for 'Earth Engine' | Zack Arno |
| tidyRSS | 2.0.7 | Tidy RSS for R | Robert Myles McDonnell |
| tidyrules | 0.1.5 | Obtain Rules from Rule Based Models as Tidy Dataframe | Srikanth Komala Sheshachala |
| tidysdm | 0.9.4 | Species Distribution Models with Tidymodels | Andrea Manica |
| tidyselect | 1.2.1 | Select from a Set of Strings | Lionel Henry |
| tidySEM | 0.2.6 | Tidy Structural Equation Modeling | Caspar J. van Lissa |
| tidyseurat | 0.8.0 | Brings Seurat to the Tidyverse | Stefano Mangiola |
| tidysmd | 0.2.0 | Tidy Standardized Mean Differences | Malcolm Barrett |
| tidysq | 1.1.3 | Tidy Processing and Analysis of Biological Sequences | Dominik Rafacz |
| tidystats | 0.6.1 | Save Output of Statistical Tests | Willem Sleegers |
| tidystopwords | 0.9.1 | Customisable Stop-Words in 110 Languages | Maciej Eder |
| tidystringdist | 0.1.4 | String Distance Calculation with Tidy Data Principles | Colin Fay |
| tidysynth | 0.2.0 | A Tidy Implementation of the Synthetic Control Method | Eric Dunford |
| tidytable | 0.11.0 | Tidy Interface to 'data.table' | Mark Fairbanks |
| tidyterra | 0.5.2 | 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects | Diego Hernangómez |
| tidytext | 0.4.1 | Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools | Julia Silge |
| tidytidbits | 0.3.2 | A Collection of Tools and Helpers Extending the Tidyverse | Marcel Wiesweg |
| tidytlg | 0.1.4 | Create TLGs using the 'tidyverse' | Eli Miller |
| tidytransit | 1.6.1 | Read, Validate, Analyze, and Map GTFS Feeds | Flavio Poletti |
| tidytreatment | 0.2.2 | Tidy Methods for Bayesian Treatment Effect Models | Joshua J Bon |
| tidytree | 0.4.6 | A Tidy Tool for Phylogenetic Tree Data Manipulation | Guangchuang Yu |
| tidytuesdayR | 1.0.3 | Access the Weekly 'TidyTuesday' Project Dataset | Ellis Hughes |
| tidyUSDA | 0.4.1 | A Minimal Tool Set for Gathering USDA Quick Stat Data for
Analysis and Visualization | Brad Lindblad |
| tidyverse | 2.0.0 | Easily Install and Load the 'Tidyverse' | Hadley Wickham |
| tidyvpc | 1.5.1 | VPC Percentiles and Prediction Intervals | James Craig |
| tidywikidatar | 0.5.8 | Explore 'Wikidata' Through Tidy Data Frames | Giorgio Comai |
| tidyxl | 1.0.10 | Read Untidy Excel Files | Duncan Garmonsway |
| tiff | 0.1-12 | Read and Write TIFF Images | Simon Urbanek |
| tigerhitteR | 1.1.0 | Pre-Process of Time Series Data Set in R | Will Kuan |
| TIGERr | 1.0.0 | Technical Variation Elimination with Ensemble Learning
Architecture | Siyu Han |
| tigers | 0.1-3 | Integration of Geography, Environment, and Remote Sensing | Emmanuel Paradis |
| tigerstats | 0.3.2 | R Functions for Elementary Statistics | Homer White |
| tigger | 1.1.0 | Infers Novel Immunoglobulin Alleles from Sequencing Data | Susanna Marquez |
| tightClust | 1.1 | Tight Clustering | Chi Song |
| tightenBlock | 0.1.7 | Tightens an Observational Block Design by Balanced Subset
Matching | Paul Rosenbaum |
| tigreBrowserWriter | 0.1.5 | 'tigreBrowser' Database Writer | Antti Honkela |
| tigris | 2.1 | Load Census TIGER/Line Shapefiles | Kyle Walker |
| tiktokadsR | 0.1.0 | Access to TikTok Ads via the 'Windsor.ai' API | Pablo Sanchez |
| tikzDevice | 0.12.6 | R Graphics Output in LaTeX Format | Ralf Stubner |
| tiledb | 0.25.0 | Modern Database Engine for Multi-Modal Data via Sparse and Dense
Multidimensional Arrays | Dirk Eddelbuettel |
| tilegramsR | 0.2.0 | R Spatial Data for Tilegrams | Bhaskar Karambelkar |
| tilemaps | 0.2.0 | Generate Tile Maps | Kaelyn Rosenberg |
| tiler | 0.3.1 | Create Geographic and Non-Geographic Map Tiles | Matthew Leonawicz |
| tilting | 1.1.1 | Variable Selection via Tilted Correlation Screening Algorithm | Haeran Cho |
| timbeR | 2.0.1 | Calculate Wood Volumes from Taper Functions | Sergio Costa |
| timbr | 0.2.2 | Forest/Tree Data Frames | Mizuki Uchida |
| time.slots | 0.2.0 | Display Data in a Weekly Calendar View | Mukti Rathod |
| timechange | 0.3.0 | Efficient Manipulation of Date-Times | Vitalie Spinu |
| timeDate | 4032.109 | Rmetrics - Chronological and Calendar Objects | Georgi N. Boshnakov |
| timedelay | 1.0.11 | Time Delay Estimation for Stochastic Time Series of
Gravitationally Lensed Quasars | Hyungsuk Tak |
| timedeppar | 1.0.3 | Infer Constant and Stochastic, Time-Dependent Model Parameters | Peter Reichert |
| timeDF | 0.9.0 | Subset and Flag Data Frames with Times by the Use of Periods | Toshihiro Umehara |
| timeless | 0.2.1 | Fast General Purpose Date/Time Converter | David Schoch |
| timeLineGraphics | 1.0 | HTML with Horizontal Strips Symbolizing Events in a Person's
Life | Barry Zeeberg |
| timelineS | 0.1.1 | Timeline and Time Duration-Related Tools | Dahee Lee |
| timeordered | 1.0.0 | Time-Ordered and Time-Aggregated Network Analyses | Benjamin Blonder |
| timeperiodsR | 0.7.3 | Simple Definition Of Time Intervals | Alexey Seleznev |
| timeplyr | 0.5.0 | Fast Tidy Tools for Date and Date-Time Manipulation | Nick Christofides |
| timeR | 1.2.0 | Time Your Codes | Yifu Yan |
| timereg | 2.0.5 | Flexible Regression Models for Survival Data | Thomas Scheike |
| timeROC | 0.4 | Time-Dependent ROC Curve and AUC for Censored Survival Data | Paul Blanche |
| timeSeq | 1.0.4 | Detecting Differentially Expressed Genes in Time Course RNA-Seq
Data | Fan Gao |
| timeSeries | 4032.109 | Financial Time Series Objects (Rmetrics) | Georgi N. Boshnakov |
| timeseriesdb | 1.0.0-1.1.2 | A Time Series Database for Official Statistics with R and
PostgreSQL | Matthias Bannert |
| timetk | 2.9.0 | A Tool Kit for Working with Time Series | Matt Dancho |
| timetools | 1.15.3 | Seasonal/Sequential (Instants/Durations, Even or not) Time
Series | Vladislav Navel |
| TimeVarConcurrentModel | 1.0 | Concurrent Multivariate Models with Time-Varying Coefficients | Chance Vandergeugten |
| timevarcorr | 0.1.1 | Time Varying Correlation | Alexandre Courtiol |
| timevis | 2.1.0 | Create Interactive Timeline Visualizations in R | Dean Attali |
| TimeVizPro | 1.0.1 | Dynamic Data Explorer: Visualize and Forecast with 'TimeVizPro' | Leila Marvian Mashhad |
| TimeVTree | 0.3.1 | Survival Analysis of Time Varying Coefficients Using a
Tree-Based Approach | Euyhyun Lee |
| TIMP | 1.13.6 | Fitting Separable Nonlinear Models in Spectroscopy and
Microscopy | Joris Snellenburg |
| timsac | 1.3.8-4 | Time Series Analysis and Control Package | Masami Saga |
| Tinflex | 2.4 | A Universal Non-Uniform Random Number Generator | Josef Leydold |
| tinkr | 0.2.0 | Cast '(R)Markdown' Files to 'XML' and Back Again | Zhian N. Kamvar |
| tinsel | 0.0.1 | Transform Functions using Decorators | Nathan Teetor |
| tint | 0.1.4 | 'tint' is not 'Tufte' | Dirk Eddelbuettel |
| tinter | 0.1.0 | Generate a Monochromatic Palette | Sebastian Dalgarno |
| tinyarray | 2.3.3 | Expression Data Analysis and Visualization | Xiaojie Sun <18763899370 at 163.com> |
| tinycodet | 0.4.5 | Functions to Help in your Coding Etiquette | Tony Wilkes |
| tinylabels | 0.2.4 | Lightweight Variable Labels | Marius Barth |
| tinyProject | 0.6.1 | A Lightweight Template for Data Analysis Projects | Francois Guillem |
| tinyscholar | 0.1.7 | Get and Show Personal 'Google Scholar' Profile | Shixiang Wang |
| tinysnapshot | 0.0.4 | Snapshots for Unit Tests using the 'tinytest' Framework | Vincent Arel-Bundock |
| tinyspotifyr | 0.2.2 | Tinyverse R Wrapper for the 'Spotify' Web API | Troy Hernandez |
| tinytable | 0.2.1 | Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown',
'Word', 'PNG', 'PDF', and 'Typst' Formats | Vincent Arel-Bundock |
| tinytest | 1.4.1 | Lightweight and Feature Complete Unit Testing Framework | Mark van der Loo |
| tinytest2JUnit | 1.0.3 | Convert 'tinytest' Output to JUnit XML | Anne-Katrin Hess |
| tinytex | 0.50 | Helper Functions to Install and Maintain TeX Live, and Compile
LaTeX Documents | Yihui Xie |
| tinythemes | 0.0.2 | Lightweight Repackaging of 'Themes' for 'ggplot2' | Dirk Eddelbuettel |
| tinytiger | 0.0.8 | Lightweight Interface to TIGER/Line Shapefiles | Christopher T. Kenny |
| tip | 0.1.0 | Bayesian Clustering Using the Table Invitation Prior (TIP) | Charles W. Harrison |
| tipa | 1.0.8 | Tau-Independent Phase Analysis for Circadian Time-Course Data | Jake Hughey |
| TipDatingBeast | 1.1-0 | Using Tip Dates with Phylogenetic Trees in BEAST | Camilo Khatchikian |
| tipitaka | 0.1.2 | Data and Tools for Analyzing the Pali Canon | Dan Zigmond |
| tipmap | 0.5.2 | Tipping Point Analysis for Bayesian Dynamic Borrowing | Christian Stock |
| tippy | 0.1.0 | Add Tooltips to 'R markdown' Documents or 'Shiny' Apps | John Coene |
| tipr | 1.0.2 | Tipping Point Analyses | Lucy D'Agostino McGowan |
| TiPS | 1.2.3 | Trajectories and Phylogenies Simulator | Gonche Danesh |
| tipsae | 1.0.0 | Tools for Handling Indices and Proportions in Small Area
Estimation | Silvia De Nicolò |
| tis | 1.39 | Time Indexes and Time Indexed Series | Brian Salzer |
| TITAN2 | 2.4.3 | Threshold Indicator Taxa Analysis | David Kahle |
| titanic | 0.1.0 | Titanic Passenger Survival Data Set | Paul Hendricks |
| TITEgBOIN | 0.3.0 | Time-to-Event Dose-Finding Design for Multiple Toxicity Grades | Jing Zhu |
| titeIR | 0.1.0 | Isotonic Designs for Phase 1 Trials with Late-Onset Toxicities | Lee McDaniel |
| titrationCurves | 0.1.0 | Acid/Base, Complexation, Redox, and Precipitation Titration
Curves | David Harvey |
| TKCat | 1.0.7 | Tailored Knowledge Catalog | Patrice Godard |
| tkImgR | 0.0.5 | Simple Image Viewer for R Using the 'tcltk' Package | Filipe Campelo |
| tkrplot | 0.0-27 | TK Rplot | Luke Tierney |
| tkRplotR | 0.1.7 | Display Resizable Plots | Filipe Campelo |
| tLagInterim | 1.0 | Interim Monitoring of Clinical Trials with Time-Lagged Outcome | Shannon T. Holloway |
| tLagPropOdds | 1.9 | Proportional Odds Model with Censored, Time-Lagged Categorical
Outcome | Shannon T. Holloway |
| tlars | 1.0.1 | The T-LARS Algorithm: Early-Terminated Forward Variable
Selection | Jasin Machkour |
| Tlasso | 1.0.2 | Non-Convex Optimization and Statistical Inference for Sparse
Tensor Graphical Models | Xiang Lyu |
| TLCAR | 0.1.0 | Computation of Topp-Leone Cauchy Rayleigh (TLCAR )
distribution's properties | Jude Mahoulé Bogninou |
| tldr | 0.3.0 | T Loux Doing R: Functions to Simplify Data Analysis and
Reporting | Travis Loux |
| tlm | 0.1.5 | Effects under Linear, Logistic and Poisson Regression Models
with Transformed Variables | Jose Barrera-Gomez |
| TLMoments | 0.7.5.3 | Calculate TL-Moments and Convert Them to Distribution Parameters | Jona Lilienthal |
| tlrmvnmvt | 1.1.2 | Low-Rank Methods for MVN and MVT Probabilities | Jian Cao |
| tls | 0.1.0 | Tools of Total Least Squares in Error-in-Variables Models | Yan Li |
| tm | 0.7-12 | Text Mining Package | Ingo Feinerer |
| tm.plugin.alceste | 1.1.1 | Import Texts from Files in the 'Alceste' Format Using the 'tm'
Text Mining Framework | Milan Bouchet-Valat |
| tm.plugin.dc | 0.2-10 | Text Mining Distributed Corpus Plug-in | Stefan Theussl |
| tm.plugin.europresse | 1.4 | Import Articles from 'Europresse' Using the 'tm' Text Mining
Framework | Milan Bouchet-Valat |
| tm.plugin.factiva | 1.8 | Import Articles from 'Factiva' Using the 'tm' Text Mining
Framework | Milan Bouchet-Valat |
| tm.plugin.koRpus | 0.4-2 | Full Corpus Support for the 'koRpus' Package | m.eik michalke |
| tm.plugin.lexisnexis | 1.4.1 | Import Articles from 'LexisNexis' Using the 'tm' Text Mining
Framework | Milan Bouchet-Valat |
| tm.plugin.mail | 0.2-2 | Text Mining E-Mail Plug-in | Kurt Hornik |
| tm1r | 1.1.8 | The Integration Between 'IBM COGNOS TM1' and R | Muhammed Ali Onder |
| tmap | 3.3-4 | Thematic Maps | Martijn Tennekes |
| tmaptools | 3.1-1 | Thematic Map Tools | Martijn Tennekes |
| TMB | 1.9.11 | Template Model Builder: A General Random Effect Tool Inspired by
'ADMB' | Kasper Kristensen |
| tmbstan | 1.0.91 | MCMC Sampling from 'TMB' Model Object using 'Stan' | Kasper Kristensen |
| TmCalculator | 1.0.3 | Melting Temperature of Nucleic Acid Sequences | Junhui Li |
| tmcn | 0.2-13 | A Text Mining Toolkit for Chinese | Jian Li |
| TMDb | 1.1 | Access to TMDb API | Andrea Capozio |
| Tmisc | 1.0.1 | Turner Miscellaneous | Stephen Turner |
| TML | 1.2.0 | Tropical Geometry Tools for Machine Learning | David Barnhill |
| tmle | 2.0.0 | Targeted Maximum Likelihood Estimation | Susan Gruber |
| tmod | 0.50.13 | Feature Set Enrichment Analysis for Metabolomics and
Transcriptomics | January Weiner |
| tmplate | 0.0.3 | Code Generation Based on Templates | Mario A. Martinez Araya |
| tmpm | 1.0.3 | Trauma Mortality Prediction Model | Cody Moore |
| tmsens | 0.3.0 | Sensitivity Analysis Using the Trimmed Means Estimator | Audinga-Dea Hazewinkel |
| tmt | 0.3.1-10 | Estimation of the Rasch Model for Multistage Tests | Jan Steinfeld |
| TMTI | 1.0.1 | 'Too Many, Too Improbable' (TMTI) Test Procedures | Phillip B. Mogensen |
| tmvmixnorm | 1.1.1 | Sampling from Truncated Multivariate Normal and t Distributions | Ting Fung (Ralph) Ma |
| tmvnsim | 1.0-2 | Truncated Multivariate Normal Simulation | Samsiddhi Bhattacharjee |
| tmvtnorm | 1.6 | Truncated Multivariate Normal and Student t Distribution | Stefan Wilhelm |
| tmvtnsim | 0.1.3 | Truncated Multivariate Normal and t Distribution Simulation | Kaifeng Lu |
| TNC | 0.1.0 | Temporal Network Centrality (TNC) Measures | Moritz Hanke |
| tnet | 3.0.16 | Weighted, Two-Mode, and Longitudinal Networks Analysis | Tore Opsahl |
| tnl.Test | 0.1.0 | Non-Parametric Tests for the Two-Sample Problem | Ihab Abusaif |
| TNRS | 0.3.5 | Taxonomic Name Resolution Service | Brian Maitner |
| tntpr | 1.0.2 | Data Analysis Tools Customized for TNTP | Dustin Pashouwer |
| toastui | 0.3.3 | Interactive Tables, Calendars and Charts for the Web | Victor Perrier |
| TOC | 0.0-6 | Total Operating Characteristic Curve and ROC Curve | Ali Santacruz |
| todor | 0.1.2 | Find All TODO Comments and More | Dominik Krzemiński |
| togglr | 0.2.1 | 'Toggl.com' Api for 'Rstudio' | Vincent Guyader |
| TOHM | 1.4 | Testing One Hypothesis Multiple Times | Sara Algeri |
| tok | 0.1.1 | Fast Text Tokenization | Daniel Falbel |
| tokenbrowser | 0.1.5 | Create Full Text Browsers from Annotated Token Lists | Kasper Welbers |
| tokenizers | 0.3.0 | Fast, Consistent Tokenization of Natural Language Text | Lincoln Mullen |
| tokenizers.bpe | 0.1.3 | Byte Pair Encoding Text Tokenization | Jan Wijffels |
| tolerance | 2.0.0 | Statistical Tolerance Intervals and Regions | Derek S. Young |
| tomba | 1.0.1 | Official R Library for Tomba Email Finder | Abedrahim Ben rebia |
| TOmicsVis | 2.0.0 | Transcriptome Visualization Process Scheme | Benben Miao |
| tongfen | 0.3.5 | Make Data Based on Different Geographies Comparable | Jens von Bergmann |
| toolbox | 0.1.1 | List, String, and Meta Programming Utility Functions | Timothy Conwell |
| toolmaRk | 0.0.1 | Tests for Same-Source of Toolmarks | Jeremy Hadler |
| tools4uplift | 1.0.0 | Tools for Uplift Modeling | Mouloud Belbahri |
| ToolsForCoDa | 1.0.6 | Multivariate Tools for Compositional Data Analysis | Jan Graffelman |
| toolStability | 0.1.2 | Tool for Stability Indices Calculation | Tien-Cheng Wang |
| TooManyCellsR | 0.1.1.0 | An R Wrapper for 'TooManyCells' | Gregory W. Schwartz |
| toOrdinal | 1.3-0.0 | Cardinal to Ordinal Number & Date Conversion | Damian W. Betebenner |
| topChef | 0.1.0 | Top Chef Data | Levitz Carly E |
| TopDom | 0.10.1 | An Efficient and Deterministic Method for Identifying
Topological Domains in Genomes | Henrik Bengtsson |
| topdowntimeratio | 0.1.0 | Top-Down Time Ratio Segmentation for Coordinate Trajectories | Danielle McCool |
| topicdoc | 0.1.1 | Topic-Specific Diagnostics for LDA and CTM Topic Models | Doug Friedman |
| topicmodels | 0.2-16 | Topic Models | Bettina Grün |
| topicmodels.etm | 0.1.0 | Topic Modelling in Embedding Spaces | Jan Wijffels |
| TopicScore | 0.0.1 | The Topic SCORE Algorithm to Fit Topic Models | Minzhe Wang |
| TopKLists | 1.0.8 | Inference, Aggregation and Visualization for Top-K Ranked Lists | Bastian Pfeifer |
| TopKSignal | 1.0 | A Convex Optimization Tool for Signal Reconstruction from
Multiple Ranked Lists | Bastian Pfeifer Maintainer |
| topmodel | 0.7.5 | Implementation of the Hydrological Model TOPMODEL in R | Wouter Buytaert |
| topoDistance | 1.0.2 | Calculating Topographic Paths and Distances | Ian Wang |
| topologyGSA | 1.5.0 | Gene Set Analysis Exploiting Pathway Topology | Gabriele Sales |
| toposort | 1.0.0 | Topological Sorting Algorithms | Taras Zakharko |
| topr | 2.0.1 | Create Custom Plots for Viewing Genetic Association Results | Thorhildur Juliusdottir |
| toprdata | 1.0.2 | Gene and Exon Data from Ensembl | Thorhildur Juliusdottir |
| topsis | 1.0 | TOPSIS method for multiple-criteria decision making (MCDM) | Mahmoud Mosalman Yazdi |
| TopSisWM | 1.0.2 | Multi-Criteria Method for Decision (TOPSIS) | Wagner Martins dos Santos |
| tor | 1.1.2 | Import Multiple Files From a Single Directory at Once | Mauro Lepore |
| torch | 0.12.0 | Tensors and Neural Networks with 'GPU' Acceleration | Daniel Falbel |
| torchaudio | 0.3.1 | R Interface to 'pytorch''s 'torchaudio' | Sigrid Keydana |
| torchdatasets | 0.3.0 | Ready to Use Extra Datasets for Torch | Daniel Falbel |
| torchopt | 0.1.4 | Advanced Optimizers for Torch | Gilberto Camara |
| torchvision | 0.5.1 | Models, Datasets and Transformations for Images | Daniel Falbel |
| torchvisionlib | 0.5.0 | Additional Operators for Image Models | Daniel Falbel |
| TORDs | 1.0.0 | Third Order Rotatable Designs (TORDs) | Ashutosh Dalal |
| tornado | 0.1.3 | Plots for Model Sensitivity and Variable Importance | Rob Carnell |
| tosca | 0.3-2 | Tools for Statistical Content Analysis | Lars Koppers |
| toscmask | 1.2.3 | Improved Versions of Base Functions | Tobias Schmidt |
| toscutil | 2.7.4 | Utility Functions | Tobias Schmidt |
| TOSI | 0.3.0 | Two-Directional Simultaneous Inference for High-Dimensional
Models | Wei Liu |
| tosr | 0.1.4 | Create the Tree of Science from WoS and Scopus | Sebastian Robledo |
| TOSTER | 0.8.1 | Two One-Sided Tests (TOST) Equivalence Testing | Aaron Caldwell |
| totalcensus | 0.6.6 | Extract Decennial Census and American Community Survey Data | Guanglai Li |
| TotalCopheneticIndex | 2.0.1 | Quantify the Balance of Phylogenetic Trees | Martin R. Smith |
| TOU | 0.1.0 | Transformed Ornstein-Uhlenbeck Model for Adsorption Kinetics | Rogelio Salinas-Gutiérrez |
| touch | 0.1-6 | Tools of Utilization and Cost in Healthcare | Wenjie Wang |
| tourr | 1.1.0 | Tour Methods for Multivariate Data Visualisation | Dianne Cook |
| toweranNA | 0.1.0 | A Method for Handling Missing Values in Prediction Applications | Norm Matloff |
| ToxCrit | 1.0 | Calculates Safety Stopping Boundaries for a Single-Arm Trial
using Bayes | Lisa-Marie Lanz |
| toxEval | 1.3.2 | Exploring Biological Relevance of Environmental Chemistry
Observations | Laura DeCicco |
| toxpiR | 1.2.1 | Create ToxPi Prioritization Models | Dayne L Filer |
| toxSummary | 1.0.0 | Visualize and Summarize Repeat-Dose Toxicology Study Results | Yousuf Ali |
| TP.idm | 1.5.1 | Estimation of Transition Probabilities for the Illness-Death
Model | Vanesa Balboa-Barreiro |
| TPAC | 0.2.0 | Tissue-Adjusted Pathway Analysis of Cancer (TPAC) | H. Robert Frost |
| TPACData | 0.1.0 | Human Protein Atlas Data for Tissue-Adjusted Pathway Analysis of
Cancer (TPAC) | H. Robert Frost |
| tpAUC | 2.1.1 | Estimation and Inference of Two-Way pAUC, pAUC and pODC | Xiang Lyu |
| tpc | 1.0 | Tiered PC Algorithm | Ronja Foraita |
| TPCselect | 0.8.3 | Variable Selection via Threshold Partial Correlation | Cynthia Shao |
| TPD | 1.1.0 | Methods for Measuring Functional Diversity Based on Trait
Probability Density | Carlos P. Carmona |
| TPEA | 3.1.0 | A Novel Topology-Based Pathway Enrichment Analysis Approach | Wei Jiang |
| TPES | 1.0.0 | Tumor Purity Estimation using SNVs | Alessio Locallo |
| tpfp | 0.0.1 | Counts the Number of True Positives and False Positives | Issei Tsunoda |
| TPLSr | 1.0.4 | Thresholded Partial Least Squares Model for Neuroimaging Data | Sangil Lee |
| Tplyr | 1.2.1 | A Traceability Focused Grammar of Clinical Data Summary | Mike Stackhouse |
| TPMplt | 0.1.4 | Tool-Kit for Dynamic Materials Model and Thermal Processing Maps | Chen Zhang |
| TPmsm | 1.2.12 | Estimation of Transition Probabilities in Multistate Models | Artur Araujo |
| tpn | 1.8 | Truncated Positive Normal Model and Extensions | Diego Gallardo |
| tpr | 0.3-3 | Temporal Process Regression | Jun Yan |
| tqk | 0.1.8 | Get Financial Data in Korea | Chanyub Park |
| tr.iatgen | 1.0.0 | Translate 'iatgen' Generated QSF Files | Michal Kouril |
| TR8 | 0.9.22 | A Tool for Downloading Functional Traits Data for Plant Species | Gionata Bocci |
| TraceAssist | 0.1.0 | Nonparametric Trace Regression via Sign Series Representation | Chanwoo Lee |
| tracee | 0.0.4 | Easily Save Output and Trace it Back to Code | Philip Delff |
| tracenma | 0.1.0 | Database for Developing Transitivity Methodology in Network
Meta-Analysis | Loukia Spineli |
| tracer | 1.0.0 | Slick Call Stacks | Gabor Csardi |
| tracerer | 2.2.3 | Tracer from R | Richèl J.C. Bilderbeek |
| tracheideR | 0.1.1 | Standardize Tracheidograms | Filipe Campelo |
| track2KBA | 1.1.1 | Identifying Important Areas from Animal Tracking Data | Martin Beal |
| trackdem | 0.6 | Particle Tracking and Demography | Marjolein Bruijning |
| trackdf | 0.3.3 | Data Frame Class for Tracking Data | Simon Garnier |
| trackdown | 1.1.1 | Collaborative Editing of Rmd (or Rnw) Documents in Google Drive | Claudio Zandonella Callegher |
| trackeR | 1.6.0 | Infrastructure for Running, Cycling and Swimming Data from
GPS-Enabled Tracking Devices | Ioannis Kosmidis |
| trackeRapp | 1.2 | Interface for the Analysis of Running, Cycling and Swimming Data
from GPS-Enabled Tracking Devices | Ioannis Kosmidis |
| TrackReconstruction | 1.3 | Reconstruct Animal Tracks from Magnetometer, Accelerometer,
Depth and Optional Speed Data | Brian Battaile |
| tractor.base | 3.4.2 | Read, Manipulate and Visualise Magnetic Resonance Images | Jon Clayden |
| trade | 0.8.1 | Tools for Trade Practitioners | Charles Taragin |
| tradepolicy | 0.7.0 | Replication of 'An Advanced Guide To Trade Policy Analysis' | Mauricio Vargas Sepulveda |
| TRADER | 1.2-4 | Tree Ring Analysis of Disturbance Events in R | Pavel Fibich |
| tradestatistics | 4.5.0 | Open Trade Statistics API Wrapper and Utility Program | Mauricio Vargas |
| Trading | 3.0 | CCR, Advanced Correlation & Beta Estimates, Betting Strategies | Tasos Grivas |
| TrafficBDE | 0.1.2 | Traffic Predictions Using Neural Networks | Kleanthis Koupidis |
| trafo | 1.0.1 | Estimation, Comparison and Selection of Transformations | Ann-Kristin Kreutzmann |
| traineR | 2.2.0 | Predictive (Classification and Regression) Models Homologator | Oldemar Rodriguez R. |
| trainR | 0.0.1 | An Interface to the National Rail Enquiries Systems | Roberto Villegas-Diaz |
| trainsplit | 1.1 | Split a Dataframe, Tibble, or Data.table into Training and Test
Sets | Zhaochen He |
| traipse | 0.3.0 | Shared Tools for Tracking Data | Michael Sumner |
| traits | 0.5.0 | Species Trait Data from Around the Web | Scott Chamberlain |
| traitstrap | 0.1.0 | Bootstrap Trait Values to Calculate Moments | Richard J. Telford |
| traj | 2.1.0 | Clustering of Functional Data Based on Measures of Change | Laurence Boulanger |
| trajectories | 0.2-8 | Classes and Methods for Trajectory Data | Edzer Pebesma |
| trajmsm | 0.1.0 | Marginal Structural Models with Latent Class Growth Analysis of
Treatment Trajectories | Awa Diop |
| trajr | 1.5.1 | Animal Trajectory Analysis | Jim McLean |
| tram | 1.0-2 | Transformation Models | Torsten Hothorn |
| tramicp | 0.0-2 | Model-Based Causal Feature Selection for General Response Types | Lucas Kook |
| TraMineR | 2.2-9 | Trajectory Miner: a Sequence Analysis Toolkit | Gilbert Ritschard |
| TraMineRextras | 0.6.7 | TraMineR Extension | Gilbert Ritschard |
| tramME | 1.0.5 | Transformation Models with Mixed Effects | Balint Tamasi |
| tramnet | 0.0-8 | Penalized Transformation Models | Lucas Kook |
| trampoline | 0.1.1 | Make Functions that Can Recurse Infinitely | Russell Dinnage |
| TRAMPR | 1.0-10 | 'TRFLP' Analysis and Matching Package for R | Rich FitzJohn |
| tramvs | 0.0-4 | Optimal Subset Selection for Transformation Models | Lucas Kook |
| transforEmotion | 0.1.4 | Sentiment Analysis for Text, Image and Video using Transformer
Models | Aleksandar Tomašević |
| Transform | 1.0 | Statistical Transformations | Osman Dag |
| transform.hazards | 0.1.1 | Transforms Cumulative Hazards to Parameter Specified by ODE
System | Pål Christie Ryalen |
| transformer | 0.2.0 | Implementation of Transformer Deep Neural Network with Vignettes | Bastiaan Quast |
| transformmos | 0.1.0 | Transform MOS Values to be Robust for using Rank Based
Statistics | Babak Naderi |
| transformr | 0.1.5 | Polygon and Path Transformations | Thomas Lin Pedersen |
| transfR | 1.0.11 | Transfer of Hydrograph from Gauged to Ungauged Catchments | Alban de Lavenne |
| TransGraph | 1.0.1 | Transfer Graph Learning | Mingyang Ren |
| translate.logit | 1.0 | Translation of Logit Regression Coefficients into Percentages | Nicolas Robette |
| translated | 0.1.1 | Simple and Robust Translation System | Laura Bakala |
| transmdl | 0.1.0 | Semiparametric Transformation Models | Fengyu Wen |
| transmem | 0.1.1 | Treatment of Membrane-Transport Data | Cristhian Paredes |
| TransModel | 2.3 | Fit Linear Transformation Models for Right Censored Data | Jie Zhou |
| TransP | 0.1 | Implementation of Transportation Problem Algorithms | Somenath Sit |
| TransPhylo | 1.4.5 | Inference of Transmission Tree from a Dated Phylogeny | Xavier Didelot |
| transplantr | 0.2.0 | Audit and Research Functions for Transplantation | John Asher |
| transPlotR | 0.0.2 | Visualize Transcript Structures in Elegant Way | Junjun Lao <3219030654 at stu.cpu.edu.cn> |
| transport | 0.15-0 | Computation of Optimal Transport Plans and Wasserstein Distances | Dominic Schuhmacher |
| transreg | 1.0.2 | Penalised Regression with Multiple Sets of Prior Effects | Armin Rauschenberger |
| TransTGGM | 1.0.0 | Transfer Learning for Tensor Graphical Models | Mingyang Ren |
| tranSurv | 1.2.2 | Transformation Model Based Estimation of Survival and Regression
Under Dependent Truncation and Independent Censoring | Sy Han (Steven) Chiou |
| transx | 0.0.1 | Transform Univariate Time Series | Kostas Vasilopoulos |
| trapezoid | 2.0-2 | The Trapezoidal Distribution | Jeremy Thoms Hetzel |
| Tratamentos.ad | 0.2.4 | Pacote Para Analise De Experimentos Com Testemunhas Adicionais | Alcinei Mistico Azevedo |
| traudem | 1.0.2 | Use TauDEM | Luca Carraro |
| traveltimeR | 1.1.5 | Interface to 'Travel Time' API | TravelTime |
| trawl | 0.2.2 | Estimation and Simulation of Trawl Processes | Almut E. D. Veraart |
| TRD | 1.1 | Transmission Ratio Distortion | Lam Opal Huang |
| treasury | 0.1.0 | US Treasury XML Feed Wrapper | Maximilian Muecke |
| TreatmentPatterns | 2.6.5 | Analyzes Real-World Treatment Patterns of a Study Population of
Interest | Maarten van Kessel |
| TreatmentSelection | 2.1.1 | Evaluate Treatment Selection Biomarkers | Marshall Brown |
| treats | 1.0 | Trees and Traits Simulations | Thomas Guillerme |
| tree | 1.0-43 | Classification and Regression Trees | Brian Ripley |
| tree.interpreter | 0.1.1 | Random Forest Prediction Decomposition and Feature Importance
Measure | Qingyao Sun |
| tree3d | 0.1.2 | 3D Tree Models | Tyler Morgan-Wall |
| treebalance | 1.2.0 | Computation of Tree (Im)Balance Indices | Luise Kuehn |
| treebase | 0.1.5 | Discovery, Access and Manipulation of 'TreeBASE' Phylogenies | Carl Boettiger |
| TreeBUGS | 1.5.0 | Hierarchical Multinomial Processing Tree Modeling | Daniel W. Heck |
| treeclim | 2.0.6.0 | Numerical Calibration of Proxy-Climate Relationships | Christian Zang |
| treeClust | 1.1-7 | Cluster Distances Through Trees | Sam Buttrey |
| treeDA | 0.0.5 | Tree-Based Discriminant Analysis | Julia Fukuyama |
| treedata.table | 0.1.0 | Manipulation of Matched Phylogenies and Data using 'data.table' | Cristian Roman-Palacios |
| treedater | 0.5.0 | Fast Molecular Clock Dating of Phylogenetic Trees with Rate
Variation | Erik Volz |
| treeDbalance | 1.0.1 | Computation of 3D Tree Imbalance | Sophie Kersting |
| TreeDep | 0.1.3 | Air Pollution Removal by Dry Deposition on Trees | Silvestre Garcia de Jalon |
| TreeDiagram | 0.1.1 | Tree Diagram | Wen Tian (Wendy) Wang |
| treediff | 0.2.1 | Testing Differences Between Families of Trees | Nathalie Vialaneix |
| TreeDimensionTest | 0.0.2 | Trajectory Presence and Heterogeneity in Multivariate Data | Joe Song |
| TreeDist | 2.7.0 | Calculate and Map Distances Between Phylogenetic Trees | Martin R. Smith |
| treefit | 1.0.2 | The First Software for Quantitative Trajectory Inference | Kouhei Sutou |
| treeheatr | 0.2.1 | Heatmap-Integrated Decision Tree Visualizations | Trang Le |
| treemap | 2.4-4 | Treemap Visualization | Martijn Tennekes |
| treemapify | 2.5.6 | Draw Treemaps in 'ggplot2' | David Wilkins |
| TreeMineR | 1.0.1 | Tree-Based Scan Statistics | Joshua P. Entrop |
| treemisc | 0.0.1 | Data Sets and Functions to Accompany "Tree-Based Methods for
Statistical Learning in R" | Brandon M. Greenwell |
| treenomial | 1.1.4 | Comparison of Trees using a Tree Defining Polynomial | Matthew Gould |
| treePlotArea | 2.1.0 | Correction Factors for Tree Plot Areas Intersected by Stand
Boundaries | Andreas Dominik Cullmann |
| TreeSearch | 1.5.0 | Phylogenetic Analysis with Discrete Character Data | Martin R. Smith |
| treeshap | 0.3.1 | Compute SHAP Values for Your Tree-Based Models Using the
'TreeSHAP' Algorithm | Mateusz Krzyzinski |
| TreeSim | 2.4 | Simulating Phylogenetic Trees | Tanja Stadler |
| TreeSimGM | 2.5 | Simulating Phylogenetic Trees under General Bellman Harris and
Lineage Shift Model | Oskar Hagen |
| treesliceR | 1.0.1 | To Slice Phylogenetic Trees and Infer Evolutionary Patterns Over
Time | Matheus Lima Araujo |
| treespace | 1.1.4.3 | Statistical Exploration of Landscapes of Phylogenetic Trees | Michelle Kendall |
| treestartr | 0.1.0 | Generate Starting Trees for Combined Molecular, Morphological
and Stratigraphic Data | April Wright |
| treestats | 1.0.5 | Phylogenetic Tree Statistics | Thijs Janzen |
| treestructure | 0.1.0 | Detect Population Structure Within Phylogenetic Trees | Erik Volz |
| TreeTools | 1.10.0 | Create, Modify and Analyse Phylogenetic Trees | Martin R. Smith |
| trekcolors | 0.1.3 | Star Trek Color Palettes | Matthew Leonawicz |
| trekfont | 0.9.5 | Star Trek Fonts Collection | Matthew Leonawicz |
| trelliscopejs | 0.2.6 | Create Interactive Trelliscope Displays | Ryan Hafen |
| trelloR | 0.8.0 | Access the Trello API | Jakub Chromec |
| tremendousr | 1.0.0 | Easily Send Rewards and Incentives with 'Tremendous' from R | Jonathan Trattner |
| TrenchR | 1.1.1 | Tools for Microclimate and Biophysical Ecology | Lauren Buckley |
| trend | 1.1.6 | Non-Parametric Trend Tests and Change-Point Detection | Thorsten Pohlert |
| trendchange | 1.2 | Innovative Trend Analysis and Time-Series Change Point Analysis | Sandeep Kumar Patakamuri |
| trendeval | 0.1.0 | Evaluate Trending Models | Thibaut Jombart |
| trending | 0.1.0 | Model Temporal Trends | Thibaut Jombart |
| TrendInTrend | 1.1.3 | Odds Ratio Estimation and Power Calculation for the Trend in
Trend Model | Ashkan Ertefaie |
| trendsegmentR | 1.3.0 | Linear Trend Segmentation | Hyeyoung Maeng |
| TrendSLR | 1.0 | Estimating Trend, Velocity and Acceleration from Sea Level
Records | Phil J Watson |
| TrendTM | 2.0.19 | Trend of High-Dimensional Time Series Matrix Estimation | Emilie Lebarbier |
| Trendtwosub | 0.0.2 | Two Sample Order Free Trend Nonparametric Inference | Yishi Wang Developer |
| trendyy | 0.1.1 | A Tidy Wrapper Around 'gtrendsR' | Josiah Parry |
| TRES | 1.1.5 | Tensor Regression with Envelope Structure | Jing Zeng |
| TRexSelector | 1.0.0 | T-Rex Selector: High-Dimensional Variable Selection & FDR
Control | Jasin Machkour |
| Tri.Hierarchical.IBDs | 1.0.0 | Tri-Hierarchical IBDs (Tri- Hierarchical Incomplete Block
Designs) | Ashutosh Dalal |
| triact | 0.3.0 | Analyzing the Lying Behavior of Cows from Accelerometer Data | Michael Simmler |
| TriadSim | 0.3.0 | Simulating Triad Genomewide Genotypes | Min Shi |
| TrialEmulation | 0.0.3.8 | Causal Analysis of Observational Time-to-Event Data | Isaac Gravestock |
| trialr | 0.1.6 | Clinical Trial Designs in 'rstan' | Kristian Brock |
| TrialSize | 1.4 | R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size
Calculation in Clinical Research | Vicky Qian Wu |
| triangle | 1.0 | Distribution Functions and Parameter Estimates for the Triangle
Distribution | Rob Carnell |
| triangulation | 0.5.0 | Determine Position of Observer | Mathias Milfeldt |
| triangulr | 1.2.1 | High-Performance Triangular Distribution Functions | Alvin Nursalim |
| TriDimRegression | 1.0.2 | Bayesian Statistics for 2D/3D Transformations | Alexander (Sasha) Pastukhov |
| triebeard | 0.4.1 | 'Radix' Trees in 'Rcpp' | Os Keyes |
| triggerstrategy | 1.2.0 | Trigger Strategy in Clinical Trials | Jiangtao Gou |
| tRigon | 0.3.2 | Toolbox for Integrative Pathomics Analysis | David Hoelscher |
| trigpoints | 1.0.0 | Data Set of Trig Points in Great Britain in British National
Grid Coordinates | Phil Mike Jones |
| TriMatch | 0.9.9 | Propensity Score Matching of Non-Binary Treatments | Jason Bryer |
| trimcluster | 0.1-5 | Cluster Analysis with Trimming | Valentin Todorov |
| trimetStops | 0.1.0 | Information on all of the TriMet Stops in the Portland Metro
Area | Grayson White |
| trimmer | 0.8.1 | Trim an Object | Lars Kjeldgaard |
| trimr | 1.1.1 | An Implementation of Common Response Time Trimming Methods | James Grange |
| trinROC | 0.6 | Statistical Tests for Assessing Trinormal ROC Data | Annina Cincera |
| TrioSGL | 1.1.0 | Trio Model with a Combination of Lasso and Group Lasso
Regularization | Timo Stöcker |
| trip | 1.10.0 | Tracking Data | Michael D. Sumner |
| tripack | 1.3-9.1 | Triangulation of Irregularly Spaced Data | Albrecht Gebhardt |
| tripEstimation | 0.0-46 | Metropolis Sampler and Supporting Functions for Estimating
Animal Movement from Archival Tags and Satellite Fixes | Michael D. Sumner |
| TripleR | 1.5.4 | Social Relation Model (SRM) Analyses for Single or Multiple
Groups | Felix Schönbrodt |
| triplesmatch | 1.0.0 | Match Triples Consisting of Two Controls and a Treated Unit or
Vice Versa | Katherine Brumberg |
| triplot | 1.3.0 | Explaining Correlated Features in Machine Learning Models | Katarzyna Pekala |
| tripsAndDipR | 0.1.0 | Identification of 2n and 3n Samples from Amplicon Sequencing
Data | Thomas Delomas |
| triptych | 0.1.2 | Diagnostic Graphics to Evaluate Forecast Performance | Alexander I. Jordan |
| triversity | 1.0 | Diversity Measures on Tripartite Graphs | Robin Lamarche-Perrin |
| TRMF | 0.1.5 | Temporally Regularized Matrix Factorization | Chad Hammerquist |
| tRnslate | 0.0.3 | Translate R Code in Source Files | Mario A. Martinez Araya |
| troopdata | 0.1.5 | Tools for Analyzing Cross-National Military Deployment and
Basing Data | Michael Flynn |
| tropAlgebra | 0.1.1 | Tropical Algebraic Functions | Muhammad Kashif Hanif |
| TropFishR | 1.6.4 | Tropical Fisheries Analysis | Tobias K. Mildenberger |
| trotter | 0.6 | Pseudo-Vectors Containing All Permutations, Combinations and
Subsets of Objects Taken from a Vector. | Richard Ambler |
| trouBBlme4SolveR | 0.1.1 | Troubles Solver for 'lme4' | Iago Giné-Vázquez |
| TroublemakeR | 0.0.1 | Generates Spatial Problems in R for 'AMPL' | Derek Corcoran |
| TrtCombo.FactorialExp.SR | 4.0.4 | Generation of Treatment Combination (in Standard Order) in 2^n
Factorial Experiment | Somjit Roy |
| trtf | 0.4-2 | Transformation Trees and Forests | Torsten Hothorn |
| truelies | 0.2.0 | Bayesian Methods to Estimate the Proportion of Liars in Coin
Flip Experiments | David Hugh-Jones |
| TrueSkillThroughTime | 0.1.1 | Skill Estimation Based on a Single Bayesian Network | Gustavo Landfried |
| truh | 1.0.0 | Two-Sample Nonparametric Testing Under Heterogeneity | Nathan Smith |
| TrumpetPlots | 0.0.1.1 | Visualization of Genetic Association Studies | Judit García-González |
| truncAIPW | 1.0.1 | Doubly Robust Estimation under Covariate-Induced Dependent Left
Truncation | Yuyao Wang |
| TruncatedNormal | 2.2.2 | Truncated Multivariate Normal and Student Distributions | Leo Belzile |
| truncdist | 1.0-2 | Truncated Random Variables | Frederick Novomestky |
| TruncExpFam | 1.1.1 | Truncated Exponential Family | Waldir Leoncio |
| truncnorm | 1.0-9 | Truncated Normal Distribution | Olaf Mersmann |
| truncnormbayes | 0.0.3 | Estimates Moments for a Truncated Normal Distribution using
'Stan' | Peter Solymos |
| truncreg | 0.2-5 | Truncated Gaussian Regression Models | Yves Croissant |
| truncSP | 1.2.2 | Semi-parametric estimators of truncated regression models | Anita Lindmark |
| trust | 0.1-8 | Trust Region Optimization | Charles J. Geyer |
| trustedtimestamping | 0.2.6 | Create Trusted Timestamps of Datasets and Files | Peter Muller |
| trustOptim | 0.8.7.3 | Trust Region Optimization for Nonlinear Functions with Sparse
Hessians | Michael Braun |
| tryCatchLog | 1.3.1 | Advanced 'tryCatch()' and 'try()' Functions | Juergen Altfeld |
| TSA | 1.3.1 | Time Series Analysis | Kung-Sik Chan |
| tsallisqexp | 0.9-4 | Tsallis q-Exp Distribution | Christophe Dutang |
| TSANN | 0.1.0 | Time Series Artificial Neural Network | Md Yeasin |
| tsapp | 1.0.4 | Time Series, Analysis and Application | Rainer Schlittgen |
| tsbox | 0.4.1 | Class-Agnostic Time Series | Christoph Sax |
| tsBSS | 1.0.0 | Blind Source Separation and Supervised Dimension Reduction for
Time Series | Markus Matilainen |
| TSCI | 3.0.4 | Tools for Causal Inference with Possibly Invalid Instrumental
Variables | David Carl |
| TSclust | 1.3.1 | Time Series Clustering Utilities | Pablo Montero Manso |
| tscopula | 0.3.9 | Time Series Copula Models | Alexander McNeil |
| tscount | 1.4.3 | Analysis of Count Time Series | Tobias Liboschik |
| TSCS | 0.1.1 | Time Series Cointegrated System | Tianjian Yang |
| tsdataleaks | 2.1.1 | Exploit Data Leakages in Time Series Forecasting Competitions | Thiyanga S. Talagala |
| tsdb | 1.1-0 | Terribly-Simple Data Base for Time Series | Enrico Schumann |
| tsdecomp | 0.2 | Decomposition of Time Series Data | Javier López-de-Lacalle |
| TSdeeplearning | 0.1.0 | Deep Learning Model for Time Series Forecasting | Ronit Jaiswal |
| tsdf | 1.1-8 | Two-/Three-Stage Designs for Phase 1&2 Clinical Trials | Wenchuan Guo |
| TSDFGS | 2.0 | Training Set Determination for Genomic Selection | Jen-Hsiang Ou |
| tsdisagg2 | 0.1.0 | Time Series Disaggregation | Jorge Vieira |
| TSdisaggregation | 2.0.0 | High-Dimensional Temporal Disaggregation | Luke Mosley |
| TSdist | 3.7.1 | Distance Measures for Time Series Data | Usue Mori |
| tsdistributions | 1.0.0 | Location Scale Standardized Distributions | Alexios Galanos |
| TSDT | 1.0.7 | Treatment-Specific Subgroup Detection Tool | Brian Denton |
| tsDyn | 11.0.4.1 | Nonlinear Time Series Models with Regime Switching | Matthieu Stigler |
| TSE | 0.1.0 | Total Survey Error | Joshua Miller |
| TSEind | 0.1.0 | Total Survey Error (Independent Samples) | Joshua Miller |
| tsensembler | 0.1.0 | Dynamic Ensembles for Time Series Forecasting | Vitor Cerqueira |
| tsentiment | 1.0.5 | Fetching Tweet Data for Sentiment Analysis | Hakki Sabah |
| TSEntropies | 0.9 | Time Series Entropies | Jiri Tomcala |
| tseries | 0.10-55 | Time Series Analysis and Computational Finance | Kurt Hornik |
| tseriesChaos | 0.1-13.1 | Analysis of Nonlinear Time Series | Antonio Fabio Di Narzo |
| tseriesEntropy | 0.7-2 | Entropy Based Analysis and Tests for Time Series | Simone Giannerini |
| TSeriesMMA | 0.1.1 | Multiscale Multifractal Analysis of Time Series Data | Vishakh Padmakumar |
| tseriesTARMA | 0.3-4 | Analysis of Nonlinear Time Series Through TARMA Models | Simone Giannerini |
| TSEtools | 0.2.2 | Manage Data from Stock Exchange Markets | Ali Saeb |
| TSEwgt | 0.1.0 | Total Survey Error Under Multiple, Different Weighting Schemes | Joshua Miller |
| TSF | 0.1.1 | Two Stage Forecasting (TSF) for Long Memory Time Series in
Presence of Structural Break | Dr. Ranjit Kumar Paul |
| tsfeatures | 1.1.1 | Time Series Feature Extraction | Rob Hyndman |
| tsfgrnn | 1.0.5 | Time Series Forecasting Using GRNN | Francisco Martinez |
| tsfknn | 0.6.0 | Time Series Forecasting Using Nearest Neighbors | Francisco Martinez |
| tsfngm | 0.1.0 | Time Series Forecasting using Nonlinear Growth Models | Mrinmoy Ray |
| TSGS | 1.0 | Trait Specific Gene Selection using SVM and GA | Sudhir Srivastava |
| TSGSIS | 0.1 | Two Stage-Grouped Sure Independence Screening | Yao-Hwei Fang |
| TSHRC | 0.1-6 | Two Stage Hazard Rate Comparison | Charles J. Geyer |
| tsibble | 1.1.4 | Tidy Temporal Data Frames and Tools | Earo Wang |
| tsibbledata | 0.4.1 | Diverse Datasets for 'tsibble' | Mitchell O'Hara-Wild |
| tsibbletalk | 0.1.0 | Interactive Graphics for Tsibble Objects | Earo Wang |
| tsintermittent | 1.10 | Intermittent Time Series Forecasting | Nikolaos Kourentzes |
| tsiR | 0.4.3 | An Implementation of the TSIR Model | Alexander D. Becker |
| TSLSTM | 0.1.0 | Long Short Term Memory (LSTM) Model for Time Series Forecasting | Dr. Ranjit Kumar Paul |
| TSLSTMplus | 1.0.4 | Long-Short Term Memory for Time-Series Forecasting, Enhanced | Jaime Pizarroso Gonzalo |
| tsLSTMx | 0.1.0 | Predict Time Series Using LSTM Model Including Exogenous
Variable to Denote Zero Values | Sandip Garai |
| tsmethods | 1.0.1 | Time Series Methods | Alexios Galanos |
| TSMN | 1.0.0 | Truncated Scale Mixtures of Normal Distributions | Eraldo B. dos Anjos Filho |
| tsModel | 0.6-1 | Time Series Modeling for Air Pollution and Health | Roger D. Peng |
| tsmp | 0.4.15 | Time Series with Matrix Profile | Francisco Bischoff |
| TSMSN | 0.0.1 | Truncated Scale Mixtures of Skew-Normal Distributions | Eraldo B. dos Anjos Filho |
| tsna | 0.3.5 | Tools for Temporal Social Network Analysis | Skye Bender-deMoll |
| tsne | 0.1-3.1 | T-Distributed Stochastic Neighbor Embedding for R (t-SNE) | Justin Donaldson |
| tsnet | 0.1.0 | Fitting, Comparing, and Visualizing Networks Based on Time
Series Data | Björn S. Siepe |
| tsoutliers | 0.6-10 | Detection of Outliers in Time Series | Javier López-de-Lacalle |
| TSP | 1.2-4 | Traveling Salesperson Problem (TSP) | Michael Hahsler |
| tsPI | 1.0.4 | Improved Prediction Intervals for ARIMA Processes and Structural
Time Series | Jouni Helske |
| tspmeta | 1.2 | Instance Feature Calculation and Evolutionary Instance
Generation for the Traveling Salesman Problem | Bernd Bischl |
| TSPred | 5.1 | Functions for Benchmarking Time Series Prediction | Rebecca Pontes Salles |
| tspredit | 1.0.767 | Time Series Prediction Integrated Tuning | Eduardo Ogasawara |
| tsqn | 1.0.0 | Applications of the Qn Estimator to Time Series (Univariate and
Multivariate) | Higor Cotta |
| TSrepr | 1.1.0 | Time Series Representations | Peter Laurinec |
| tsriadditive | 1.0.0 | Two Stage Residual Inclusion Additive Hazards Estimator | Andrew Ying |
| tsrobprep | 0.3.2 | Robust Preprocessing of Time Series Data | Michał Narajewski |
| TSS.RESTREND | 0.3.1 | Time Series Segmentation of Residual Trends | Arden Burrell |
| tsSelect | 0.1.8 | Execution of Time Series Models | Avi Blinder |
| tssim | 0.1.7 | Simulation of Daily and Monthly Time Series | Daniel Ollech |
| TSsmoothing | 0.1.0 | Trend Estimation of Univariate and Bivariate Time Series with
Controlled Smoothness | L. Leticia Ramirez-Ramirez |
| TSSS | 1.3.4-5 | Time Series Analysis with State Space Model | Masami Saga |
| TSstudio | 0.1.7 | Functions for Time Series Analysis and Forecasting | Rami Krispin |
| TSSVM | 0.1.0 | Time Series Forecasting using SVM Model | Mrinmoy Ray |
| tstools | 0.4.3 | A Time Series Toolbox for Official Statistics | Stéphane Bisinger |
| TSTutorial | 1.2.7 | Fitting and Predict Time Series Interactive Laboratory | Alberto Lopez Moreno |
| tsutils | 0.9.4 | Time Series Exploration, Modelling and Forecasting | Nikolaos Kourentzes |
| TSVC | 1.5.3 | Tree-Structured Modelling of Varying Coefficients | Moritz Berger |
| tsvio | 1.0.6 | Simple Utilities for Tab-Separated-Value (TSV) Files | Mary A Rohrdanz |
| tsviz | 0.1.0 | Easy and Interactive Time Series Visualization | Emanuele Fabbiani |
| tsvr | 1.0.2 | Timescale-Specific Variance Ratio for Use in Community Ecology | Daniel C. Reuman |
| tswge | 2.1.0 | Time Series for Data Science | Bivin Sadler |
| tsxtreme | 0.3.3 | Bayesian Modelling of Extremal Dependence in Time Series | Thomas Lugrin |
| TT | 0.98 | Display Tree Structured Data using Datatable Widget (DT) | Michal Zielaskowski |
| TTAinterfaceTrendAnalysis | 1.5.10 | Temporal Trend Analysis Graphical Interface | David DEVREKER |
| ttbary | 0.3-1 | Barycenter Methods for Spatial Point Patterns | Dominic Schuhmacher |
| ttbbeer | 1.1.0 | US Beer Statistics from TTB | Jasmine Dumas |
| TTCA | 0.1.1 | Transcript Time Course Analysis | Marco Albrecht |
| ttcg | 1.0.1 | Three-Term Conjugate Gradient for Unconstrained Optimization | Hao Chi Kiang |
| ttdo | 0.0.9 | Extend 'tinytest' with 'diffobj' | Dirk Eddelbuettel |
| tth | 4.12-0-1 | TeX-to-HTML/MathML Translators TtH/TtM | Friedrich Leisch |
| tTOlr | 0.2.3 | Likelihood Ratio Statistics for One or Two Sample T-Tests | John Maindonald |
| TTR | 0.24.4 | Technical Trading Rules | Joshua Ulrich |
| TTS | 1.1 | Master Curve Estimates Corresponding to Time-Temperature
Superposition | Antonio Meneses |
| ttScreening | 1.6 | Genome-Wide DNA Methylation Sites Screening by Use of Training
and Testing Samples | Meredith Ray |
| ttservice | 0.4.0 | A Service for Tidy Transcriptomics Software Suite | Stefano Mangiola |
| ttt | 1.0 | The Table Tool | Benjamin Rich |
| tttplot | 1.1.1 | Time to Target Plot | Carlos A. Martinez |
| ttutils | 1.0-1.1 | Utility Functions | Thorn Thaler |
| tuber | 0.9.9 | Client for the YouTube API | Gaurav Sood |
| tubern | 0.1.0 | R Client for the YouTube Analytics and Reporting API | Gaurav Sood |
| tuckerR.mmgg | 1.5.1 | Three-Mode Principal Components Analysis | Gustavo Gimenez |
| TUFLOWR | 0.1.1 | Helper Functions for 'TUFLOW FV' Models | Matt Gibbs |
| tufte | 0.13 | Tufte's Styles for R Markdown Documents | Christophe Dervieux |
| tufterhandout | 1.2.1 | Tufte-style html document format for rmarkdown | Michael C Sachs |
| TukeyC | 1.3-42 | Conventional Tukey Test | Ivan Bezerra Allaman |
| TukeyGH77 | 0.1.1 | Tukey g-&-h Distribution | Tingting Zhan |
| TukeyRegion | 0.1.6.3 | Tukey Region and Median | Pavlo Mozharovskyi |
| tukeytrend | 0.7 | Tukeys Trend Test via Multiple Marginal Models | Frank Schaarschmidt |
| TULIP | 1.0.2 | A Toolbox for Linear Discriminant Analysis with Penalties | Yuqing Pan |
| tumgr | 0.0.4 | Tumor Growth Rate Analysis | Julia Wilkerson |
| tune | 1.2.0 | Tidy Tuning Tools | Max Kuhn |
| TunePareto | 2.5.3 | Multi-Objective Parameter Tuning for Classifiers | Hans Kestler |
| tuneR | 1.4.6 | Analysis of Music and Speech | Uwe Ligges |
| tuneRanger | 0.7 | Tune Random Forest of the 'ranger' Package | Philipp Probst |
| tuple | 0.4-02 | Find every match, or orphan, duplicate, triplicate, or other
replicated values | Emmanuel Lazaridis |
| turboEM | 2021.1 | A Suite of Convergence Acceleration Schemes for EM, MM and Other
Fixed-Point Algorithms | Ravi Varadhan |
| turkeyelections | 0.1.1 | The Most Comprehensive R Package for Turkish Election Results | Ozancan Ozdemir |
| turner | 0.1.9 | Turn Vectors and Lists of Vectors into Indexed Structures | Frederic Bertrand |
| TurtleGraphics | 1.0-8 | Turtle Graphics | Barbara Zogala-Siudem |
| Tushare | 0.1.4 | Interface to 'Tushare Pro' API | Feifei ZHANG |
| tutorial.helpers | 0.2.6 | Helper Functions for Creating Tutorials | David Kane |
| TUWmodel | 1.1-1 | Lumped/Semi-Distributed Hydrological Model for Education
Purposes | Alberto Viglione |
| tv | 2.0.2 | Tools for Creating Time-Varying Datasets | Ethan Heinzen |
| tvem | 1.4.1 | Time-Varying Effect Models | John J. Dziak |
| tvgarch | 2.4.2 | Time Varying GARCH Modelling | Susana Campos-Martins |
| tvgeom | 1.0.1 | The Time-Varying (Right-Truncated) Geometric Distribution | Vincent Landau |
| tvm | 0.5.2 | Time Value of Money Functions | Juan Manuel Truppia |
| tvmComp | 1.0.2 | Discounting and Compounding Calculations for Various Scenarios | MaheshP Kumar |
| tvmediation | 1.1.0 | Time Varying Mediation Analysis | Donna Coffman |
| TVMM | 3.2.1 | Multivariate Tests for the Vector of Means | Henrique Jose de Paula Alves |
| tvR | 0.3.2 | Total Variation Regularization | Kisung You |
| tvReg | 0.5.9 | Time-Varying Coefficient for Single and Multi-Equation
Regressions | Isabel Casas |
| tvthemes | 1.3.3 | TV Show Themes and Color Palettes for 'ggplot2' Graphics | Ryo Nakagawara |
| twang | 2.6 | Toolkit for Weighting and Analysis of Nonequivalent Groups | Lane Burgette |
| twangContinuous | 1.0.0 | Toolkit for Weighting and Analysis of Nonequivalent Groups -
Continuous Exposures | Donna Coffman |
| twangMediation | 1.2 | Twang Causal Mediation Modeling via Weighting | Dan McCaffrey |
| twangRDC | 1.0 | Gradient Boosting for Linkage Failure in FSRDCs | Matthew Cefalu |
| twdtw | 1.0-1 | Time-Weighted Dynamic Time Warping | Victor Maus |
| tweedie | 2.3.5 | Evaluation of Tweedie Exponential Family Models | Peter K. Dunn |
| tweenr | 2.0.3 | Interpolate Data for Smooth Animations | Thomas Lin Pedersen |
| tweetcheck | 0.1.0 | Parse and Validate Tweet Text | Jacob Scott |
| twenty48 | 0.2.1 | Play a Game of 2048 in the Console | Alexander Rossell Hayes |
| twfy | 0.1.0 | Drive the API for TheyWorkForYou | Will Lowe |
| twilio | 0.1.0 | An Interface to the Twilio API for R | Sean Kross |
| twinning | 1.0 | Data Twinning | Akhil Vakayil |
| Twitmo | 0.1.2 | Twitter Topic Modeling and Visualization for R | Andreas Buchmueller |
| twitteR | 1.1.9 | R Based Twitter Client | Jeff Gentry |
| twitteradsR | 0.1.0 | Get Twitter Ads Data via the 'Windsor.ai' API | Pablo Sanchez |
| TwitterAutomatedTrading | 0.1.0 | Automated Trading Using Tweets | Lucas Godeiro |
| twitterwidget | 0.1.1 | Render a Twitter Status in R Markdown Pages | Guido Volpi |
| twl | 1.0 | Two-Way Latent Structure Clustering Model | Michael Swanson |
| twn | 0.2.4 | Taxa Waterbeheer Nederland voor R | Johan van Tent |
| TwoArmSurvSim | 0.2 | Simulate Survival Data for Randomized Clinical Trials | Bo Zhang |
| twopartm | 0.1.0 | Two-Part Model with Marginal Effects | Yajie Duan |
| twopexp | 0.1.0 | The Two Parameter Exponential Distribution | Atchanut Rattanalertnusorn |
| TwoPhaseInd | 1.1.2 | Estimate Gene-Treatment Interaction Exploiting Randomization | James Dai |
| twosamples | 2.0.1 | Fast Permutation Based Two Sample Tests | Connor Dowd |
| TwoSampleTest.HD | 1.2 | A Two-Sample Test for the Equality of Distributions for
High-Dimensional Data | Marta Cousido Rocha |
| twosigma | 1.0.2 | DE Analysis for Single-Cell RNA-Sequencing Data | Eric Van Buren |
| TwoStepCLogit | 1.2.5 | Conditional Logistic Regression: A Two-Step Estimation Method | Thierry Duchesne |
| twoway | 0.6.3 | Analysis of Two-Way Tables | Michael Friendly |
| TwoWayFEWeights | 2.0.1 | Estimation of the Weights Attached to the Two-Way Fixed Effects
Regressions | Diego Ciccia |
| twowaytests | 1.3 | Two-Way Tests in Independent Groups Designs | Osman Dag |
| twoxtwo | 0.1.0 | Work with Two-by-Two Tables | VP Nagraj |
| txshift | 0.3.8 | Efficient Estimation of the Causal Effects of Stochastic
Interventions | Nima Hejazi |
| txtplot | 1.0-4 | Text Based Plots | Bjoern Bornkamp |
| txtq | 0.2.4 | A Small Message Queue for Parallel Processes | William Michael Landau |
| typed | 0.0.1 | Support Types for Variables, Arguments, and Return Values | Antoine Fabri |
| typehint | 0.1.2 | Auto-Check Types, Dimensions, and Values of Function Arguments | Joachim Zuckarelli |
| types | 1.0.0 | Type Annotations | Jim Hester |
| typetracer | 0.2.2 | Trace Function Parameter Types | Mark Padgham |
| tzdb | 0.4.0 | Time Zone Database Information | Davis Vaughan |
| tzupdater | 0.1.5 | Time Zone Database Updater | Sebastien Thonnard |
| u5mr | 0.1.1 | Under-Five Child Mortality Estimation | Myo Minn Oo |
| uaparserjs | 0.3.5 | Parse 'User-Agent' Strings | Bob Rudis |
| uavRmp | 0.6.2 | UAV Mission Planner | Chris Reudenbach |
| UBayFS | 1.0 | A User-Guided Bayesian Framework for Ensemble Feature Selection | Anna Jenul |
| UBCRM | 1.0.2 | Functions to Simulate and Conduct Dose-Escalation Phase I
Studies | Christophe Zemmour |
| ubiquity | 2.0.3 | PKPD, PBPK, and Systems Pharmacology Modeling Tools | John Harrold |
| UBL | 0.0.9 | An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks | Paula Branco |
| ubms | 1.2.6 | Bayesian Models for Data from Unmarked Animals using 'Stan' | Ken Kellner |
| uci | 0.3.0 | Urban Centrality Index | Rafael H. M. Pereira |
| ucie | 1.0.2 | Mapping 3D Data into CIELab Color Space | Mikaela Koutrouli |
| uclust | 1.0.0 | Clustering and Classification Inference with U-Statistics | Gabriela Cybis |
| ucminf | 1.2.1 | General-Purpose Unconstrained Non-Linear Optimization | K Hervé Dakpo |
| UComp | 4.0.2 | Automatic Unobserved Components and Other Time Series Models | Diego J. Pedregal |
| UCR.ColumnNames | 0.1.0 | Fixes Column Names for Uniform Crime Report "Offenses Known and
Clearance by Arrest" Datasets | Jacob Kaplan |
| UCSCXenaShiny | 2.0.0 | Interactive Analysis of UCSC Xena Data | Shixiang Wang |
| UCSCXenaTools | 1.4.8 | Download and Explore Datasets from UCSC Xena Data Hubs | Shixiang Wang |
| UdderQuarterInfectionData | 1.0.0 | Udder Quarter Infection Data | Luc Duchateau |
| udpipe | 0.8.11 | Tokenization, Parts of Speech Tagging, Lemmatization and
Dependency Parsing with the 'UDPipe' 'NLP' Toolkit | Jan Wijffels |
| udunits2 | 0.13.2.1 | Udunits-2 Bindings for R | ORPHANED |
| ufRisk | 1.0.7 | Risk Measure Calculation in Financial TS | Sebastian Letmathe |
| ufs | 0.5.12 | A Collection of Utilities | Gjalt-Jorn Peters |
| ugatsdb | 0.2.3 | Uganda Time Series Database API | Sebastian Krantz |
| uGMAR | 3.4.5 | Estimate Univariate Gaussian and Student's t Mixture
Autoregressive Models | Savi Virolainen |
| ugomquantreg | 1.0.0 | Quantile Regression Modeling for Unit-Gompertz Responses | Josmar Mazucheli |
| UHM | 0.3.0 | Unified Zero-Inflated Hurdle Regression Models | Taban Baghfalaki |
| uHMM | 1.0 | Construct an Unsupervised Hidden Markov Model | Paul TERNYNCK |
| ui | 0.1.1 | Uncertainty Intervals and Sensitivity Analysis for Missing Data | Minna Genbaeck |
| uiucthemes | 0.3.1 | 'R' 'Markdown' Themes for 'UIUC' Documents and Presentations | James Balamuta |
| uk2us | 0.1.0 | Convert Words Between UK and US English | Benjamin Davies |
| UKB.COVID19 | 0.1.4 | UK Biobank COVID-19 Data Processing and Risk Factor Association
Tests | Longfei Wang |
| ukbabynames | 0.3.0 | UK Baby Names Data | Mine Çetinkaya-Rundel |
| ukbnmr | 2.2 | Removal of Unwanted Technical Variation from UK Biobank NMR
Metabolomics Biomarker Data | Scott C Ritchie |
| ukbtools | 0.11.3 | Manipulate and Explore UK Biobank Data | Ken Hanscombe |
| UKFE | 0.3.4 | UK Flood Estimation | Anthony Hammond |
| ukgasapi | 0.21 | API for UK Energy Market Information | Timothy Wong |
| UKgrid | 0.1.3 | The UK National Electricity Transmission System Dataset | Rami Krispin |
| uklr | 1.0.2 | Client to United Kingdom Land Registry | Kostas Vasilopoulos |
| ukpolice | 0.2.2 | Download Data on UK Police and Crime | Evan Odell |
| ulid | 0.3.1 | Generate Universally Unique 'Lexicographically' 'Sortable'
Identifiers | Dirk Eddelbuettel |
| ulrb | 0.1.3 | Unsupervised Learning Based Definition of Microbial Rare
Biosphere | Francisco Pascoal |
| Ultimixt | 2.1 | Bayesian Analysis of Location-Scale Mixture Models using a
Weakly Informative Prior | Kaniav Kamary |
| umap | 0.2.10.0 | Uniform Manifold Approximation and Projection | Tomasz Konopka |
| Umatrix | 3.4.1 | Visualization of Structures in High-Dimensional Data | Jorn Lotsch |
| umbridge | 1.0 | Integration for the UM-Bridge Protocol | Linus Seelinger |
| umiAnalyzer | 1.0.0 | Tools for Analyzing Sequencing Data with Unique Molecular
Identifiers | Stefan Filges |
| Umoments | 0.1.1 | Unbiased Central Moment Estimates | Inna Gerlovina |
| ump | 0.5-8 | Uniformly Most Powerful Tests | Charles J. Geyer |
| Umpire | 2.0.10 | Simulating Realistic Gene Expression and Clinical Data | Kevin R. Coombes |
| umx | 4.19.0 | Structural Equation Modeling and Twin Modeling in R | Timothy C. Bates |
| unbalhaar | 2.1 | Function Estimation via Unbalanced Haar Wavelets | Piotr Fryzlewicz |
| UncDecomp | 1.0.1 | Uncertainty Decomposition | Seonghyeon Kim |
| uncertainty | 0.2.0 | Uncertainty Estimation and Contribution Analysis | Hugo Gasca-Aragon |
| UNCLES | 2.0 | Unification of Clustering Results from Multiple Datasets using
External Specifications | Basel Abu-Jamous |
| uncmbb | 0.2.2 | UNC Men's Basketball Match Results Since 1949-1950 Season | Jay Lee |
| uncorbets | 0.1.2 | Uncorrelated Bets via Minimum Torsion Algorithm | Bernardo Reckziegel |
| UNCOVER | 1.1.0 | Utilising Normalisation Constant Optimisation via Edge Removal
(UNCOVER) | Samuel Emerson |
| understandBPMN | 1.1.1 | Calculator of Understandability Metrics for BPMN | Gert Janssenswillen |
| unglue | 0.1.0 | Extract Matched Substrings Using a Pattern | Antoine Fabri |
| ungroup | 1.4.4 | Penalized Composite Link Model for Efficient Estimation of
Smooth Distributions from Coarsely Binned Data | Marius D. Pascariu |
| unhcrthemes | 0.6.2 | UNHCR 'ggplot2' Theme and Colour Palettes | Cédric Vidonne |
| unheadr | 0.3.3 | Handle Data with Messy Header Rows and Broken Values | Luis D. Verde Arregoitia |
| uni.survival.tree | 1.5 | A Survival Tree Based on Stabilized Score Tests for
High-dimensional Covariates | Takeshi Emura |
| uniah | 1.2 | Unimodal Additive Hazards Model | Yunro Chung |
| Unico | 0.1.0 | Unified Cross-Omics Deconvolution | Zeyuan Chen |
| Unicode | 15.1.0-1 | Unicode Data and Utilities | Kurt Hornik |
| unicol | 0.2.0 | The Colors of your University | Hansjoerg Neth |
| UniExactFunTest | 1.0.0 | Uniform Exact Functional Tests for Contingency Tables | Yiyi Li |
| unifDAG | 1.0.4 | Uniform Sampling of Directed Acyclic Graphs | Markus Kalisch |
| unifed | 1.1.6 | The Unifed Distribution | Oscar Alberto Quijano Xacur |
| UnifiedDoseFinding | 0.1.10 | Dose-Finding Methods for Non-Binary Outcomes | Chia-Wei Hsu |
| unifir | 0.2.4 | A Unifying API for Calling the 'Unity' '3D' Video Game Engine | Michael Mahoney |
| uniformly | 0.5.0 | Uniform Sampling | Stéphane Laurent |
| unigd | 0.1.1 | Universal Graphics Device | Florian Rupprecht |
| UniIsoRegression | 0.0-0 | Unimodal and Isotonic L1, L2 and Linf Regression | Zhipeng Xu |
| unikn | 0.9.0 | Graphical Elements of the University of Konstanz's Corporate
Design | Hansjoerg Neth |
| unine | 0.2.0 | Unine Light Stemmer | Michaël Benesty |
| UniprotR | 2.4.0 | Retrieving Information of Proteins from Uniprot | Mohamed Soudy |
| uniqtag | 1.0.1 | Abbreviate Strings to Short, Unique Identifiers | Shaun Jackman |
| uniReg | 1.1 | Unimodal Penalized Spline Regression using B-Splines | Claudia Koellmann |
| unisensR | 0.3.3 | Read 'Unisens' Data | Martin Penzel |
| uniset | 0.3.1 | Dynamic Settings File | Bernhard Pollner |
| uniswappeR | 0.6.1 | Interact with the Uniswap Platform | Eric Hare |
| UnitCircle | 0.1.3 | Check if Roots of a Polynomial Lie Outside the Unit Circle | Jonathan Berrisch |
| unitedR | 0.4 | Assessment and Evaluation of Formations in United | David Schindler |
| unitizer | 1.4.20 | Interactive R Unit Tests | Brodie Gaslam |
| unitquantreg | 0.0.6 | Parametric Quantile Regression Models for Bounded Data | André F. B. Menezes |
| units | 0.8-5 | Measurement Units for R Vectors | Edzer Pebesma |
| UnitStat | 1.1.0 | Performs Unit Root Test Statistics | Ankita Sharma |
| unittest | 1.6-1 | TAP-Compliant Unit Testing | Jamie Lentin |
| unival | 1.1.0 | Assessing Essential Unidimensionality Using External Validity
Information | David Navarro-Gonzalez |
| univariateML | 1.1.1 | Maximum Likelihood Estimation for Univariate Densities | Jonas Moss |
| UniversalCVI | 1.1.2 | Hard and Soft Cluster Validity Indices | Nathakhun Wiroonsri |
| universals | 0.0.5 | S3 Generics for Bayesian Analyses | Joe Thorley |
| univOutl | 0.4 | Detection of Univariate Outliers | Marcello D'Orazio |
| UnivRNG | 1.2.3 | Univariate Pseudo-Random Number Generation | Ran Gao |
| unix | 1.5.7 | POSIX System Utilities | Jeroen Ooms |
| unjoin | 0.1.0 | Separate a Data Frame by Normalization | Michael D. Sumner |
| unmarked | 1.4.1 | Models for Data from Unmarked Animals | Ken Kellner |
| unmconf | 0.1.0 | Modeling with Unmeasured Confounding | David Kahle |
| unnest | 0.0.5 | Unnest Hierarchical Data Structures | Vitalie Spinu |
| UNPaC | 1.1.1 | Non-Parametric Cluster Significance Testing with Reference to a
Unimodal Null Distribution | Erika S. Helgeson |
| unpivotr | 0.6.3 | Unpivot Complex and Irregular Data Layouts | Duncan Garmonsway |
| unrepx | 1.0-2 | Analysis and Graphics for Unreplicated Experiments | Russell Lenth |
| unrtf | 1.4.5 | Extract Text from Rich Text Format (RTF) Documents | Jeroen Ooms |
| unstruwwel | 0.2.0 | Detect and Parse Historic Dates | Stefanie Schneider |
| unsystation | 0.2.0 | Stationarity Test Based on Unsystematic Sub-Sampling | Haeran Cho |
| untb | 1.7-7 | Ecological Drift under the UNTB | Robin K. S. Hankin |
| unusualprofile | 0.1.4 | Calculates Conditional Mahalanobis Distances | W. Joel Schneider |
| unvotes | 0.3.0 | United Nations General Assembly Voting Data | David Robinson |
| uotm | 0.1.6 | Uncertainty of Time Series Model Selection Methods | Heming Deng Developer |
| UpAndDownPlots | 0.5.0 | Displays Percentage and Absolute Changes | Antony Unwin |
| UPCM | 0.0-3 | Uncertainty in Partial Credit Models | Gunther Schauberger |
| updateme | 0.1.0 | Informative Messages About Outdated Packages | Jacob Scott |
| updater | 0.1.2 | Utilities for Updating R | Daniel D. Sjoberg |
| updog | 2.1.5 | Flexible Genotyping for Polyploids | David Gerard |
| UpDown | 1.2.1 | Detecting Group Disturbances from Longitudinal Observations | Tom Rohmer |
| UPG | 0.3.4 | Efficient Bayesian Algorithms for Binary and Categorical Data
Regression Models | Gregor Zens |
| UPMASK | 1.2 | Unsupervised Photometric Membership Assignment in Stellar
Clusters | Alberto Krone-Martins |
| upndown | 0.1.0 | Utilities and Design Aids for Up-and-Down Dose-Finding Studies | Assaf P. Oron |
| upsetjs | 1.11.1 | 'HTMLWidget' Wrapper of 'UpSet.js' for Exploring Large Set
Intersections | Samuel Gratzl |
| UpSetR | 1.4.0 | A More Scalable Alternative to Venn and Euler Diagrams for
Visualizing Intersecting Sets | Jake Conway |
| UpSetVP | 1.0.0 | An Alternative Visualization of VPA and HP in Canonical Analysis | Yao Liu |
| upstartr | 0.1.2 | Utilities Powering the Globe and Mail's Data Journalism Template | Tom Cardoso |
| UPSvarApprox | 0.1.4 | Approximate the Variance of the Horvitz-Thompson Total Estimator | Roberto Sichera |
| uptasticsearch | 0.4.0 | Get Data Frame Representations of 'Elasticsearch' Results | James Lamb |
| uptimeRobot | 1.0.0 | Access the UptimeRobot Ping API | Gabriele Baldassarre |
| ura | 1.0.0 | Monitoring Rater Reliability | Benjamin Goehring |
| urbin | 0.1-12 | Unifying Estimation Results with Binary Dependent Variables | Arne Henningsen |
| urca | 1.3-3 | Unit Root and Cointegration Tests for Time Series Data | Bernhard Pfaff |
| urlchecker | 1.0.1 | Run CRAN URL Checks from Older R Versions | Gábor Csárdi |
| urlshorteneR | 1.5.7 | R Wrapper for the 'Bit.ly' and 'Is.gd'/'v.gd' URL Shortening
Services | John Malc |
| urltools | 1.7.3 | Vectorised Tools for URL Handling and Parsing | Os Keyes |
| uroot | 2.1-3 | Unit Root Tests for Seasonal Time Series | Georgi N. Boshnakov |
| URooTab | 0.1.0 | Tabular Reporting of 'EViews' Unit Root Tests | Sagiru Mati |
| ursa | 3.10.4 | Non-Interactive Spatial Tools for Raster Processing and
Visualization | Nikita Platonov |
| us.census.geoheader | 1.0.2 | US 2010 Census SF2 Geographic Header Summary Levels 010-050 | Greg Minshall |
| usa | 0.1.2 | Updated US State Facts and Figures | Kiernan Nicholls |
| USA.state.boundaries | 1.0.1 | WGS84 Datum Map of the USA, Including Puerto Rico and the U.S.
Virgin Islands | Irucka Embry |
| uscoauditlog | 1.0.3 | United States Copyright Office Product Management Division SR
Audit Data Dataset Cleaning Algorithms | Frederick Liu |
| usdampr | 1.0.1 | Request USDA MPR Historical Data via the 'LMR' API | Bowen Chen |
| usdarnass | 0.1.0 | USDA NASS Quick Stats API | Robert Dinterman |
| usdata | 0.2.0 | Data on the States and Counties of the United States | Mine Çetinkaya-Rundel |
| usdm | 2.1-7 | Uncertainty Analysis for Species Distribution Models | Babak Naimi |
| usedist | 0.4.0 | Distance Matrix Utilities | Kyle Bittinger |
| usedthese | 0.3.3 | Summarises Package & Function Usage | Carl Goodwin |
| useful | 1.2.6.1 | A Collection of Handy, Useful Functions | Jared P. Lander |
| usefun | 0.5.0 | A Collection of Useful Functions by John | John Zobolas |
| usemodels | 0.2.0 | Boilerplate Code for 'Tidymodels' Analyses | Max Kuhn |
| usethis | 2.2.3 | Automate Package and Project Setup | Jennifer Bryan |
| usfertilizer | 0.1.5 | County-Level Estimates of Fertilizer Application in USA | Wenlong Liu |
| USgas | 0.1.2 | The Demand for Natural Gas in the US | Rami Krispin |
| USgrid | 0.1.2 | The Demand and Supply for Electricity in the US | Rami Krispin |
| ushr | 0.2.3 | Understanding Suppression of HIV | Sinead E. Morris |
| usincometaxes | 0.7.1 | Calculate Federal and State Income Taxes in the United States | Shane Orr |
| UsingR | 2.0-7 | Data Sets, Etc. for the Text "Using R for Introductory
Statistics", Second Edition | John Verzani |
| uskewFactors | 2.0 | Model-Based Clustering via Mixtures of Unrestricted Skew-t
Sactor Analyzer Models | Paula M. Murray |
| usl | 3.0.3 | Analyze System Scalability with the Universal Scalability Law | Stefan Moeding |
| usmap | 0.7.1 | US Maps Including Alaska and Hawaii | Paolo Di Lorenzo |
| usmapdata | 0.2.2 | Mapping Data for 'usmap' Package | Paolo Di Lorenzo |
| USP | 0.1.2 | U-Statistic Permutation Tests of Independence for all Data Types | Thomas B. Berrett |
| USpopcenters | 0.2.0 | United States Centers of Population (Centroids) | Nik Krieger |
| ussherR | 1.10 | Ussher Data Set Drawn from 1658 Chronology | Daniel Eness |
| UStatBookABSC | 1.0.0 | A Companion Package to the Book "U-Statistics, M-Estimation and
Resampling" | Snigdhansu Chatterjee |
| ustfd | 0.4.4 | API Client for US Treasury Fiscal Data | Guillermo Roditi Dominguez |
| ustyc | 1.0.0 | Fetch US Treasury yield curve data. | Matt Barry |
| utc | 0.1.5 | Coordinated Universal Time Transformations | Antonio J. Segura |
| utf8 | 1.2.4 | Unicode Text Processing | Kirill Müller |
| utile.tables | 0.3.0 | Build Tables for Publication | Eric Finnesgard |
| utile.tools | 0.3.0 | Summarize Data for Publication | Eric Finnesgard |
| utile.visuals | 0.3.3 | Create Visuals for Publication | Eric Finnesgard |
| utility | 1.4.6 | Construct, Evaluate and Plot Value and Utility Functions | Peter Reichert |
| UtilityFrailtyPH12 | 1.0 | Implementing EFF-TOX and Monotone Utility Based Phase 12 Trials | Andrew G Chapple |
| utilityFunctionTools | 0.1.1 | P-Spline Regression for Utility Functions and Derived Measures | Sebastian O. Schneider |
| utilsIPEA | 0.0.6 | IPEA Common Functions | Gustavo Coelho |
| utiml | 0.1.7 | Utilities for Multi-Label Learning | Adriano Rivolli |
| uuid | 1.2-0 | Tools for Generating and Handling of UUIDs | Simon Urbanek |
| uwedragon | 0.1.0 | Data Research, Access, Governance Network : Statistical
Disclosure Control | Ben Derrick |
| UWHAM | 1.1 | Unbinned Weighted Histogram Analysis Method (UWHAM) | Zhiqiang Tan |
| uwot | 0.1.16 | The Uniform Manifold Approximation and Projection (UMAP) Method
for Dimensionality Reduction | James Melville |
| uxr | 0.2.0 | User Experience Research | Joe Chelladurai |
| V8 | 4.4.2 | Embedded JavaScript and WebAssembly Engine for R | Jeroen Ooms |
| vaccine | 1.2.1 | Statistical Tools for Immune Correlates Analysis of Vaccine
Clinical Trial Data | Avi Kenny |
| vacuum | 0.1.0 | Tukey's Vacuum Cleaner | Ron Sielinski |
| vader | 0.2.1 | Valence Aware Dictionary and sEntiment Reasoner (VADER) | Katherine Roehrick |
| vaersNDvax | 1.0.4 | Non-Domestic Vaccine Adverse Event Reporting System (VAERS)
Vaccine Data for Present | Irucka Embry |
| vaersvax | 1.0.5 | US Vaccine Adverse Event Reporting System (VAERS) Vaccine Data
for Present | Irucka Embry |
| vagalumeR | 0.1.6 | Access to the 'Vagalume' API | Bruna Wundervald |
| vagam | 1.1 | Variational Approximations for Generalized Additive Models | Han Lin Shang |
| VAJointSurv | 0.1.0 | Variational Approximation for Joint Survival and Marker Models | Benjamin Christoffersen |
| valaddin | 1.0.2 | Functional Input Validation | Eugene Ha |
| valection | 1.0.0 | Sampler for Verification Studies | Paul C. Boutros |
| valentine | 2024.2.14 | Spread the Love for R Packages with Poetry | Romain François |
| VALERIE | 1.1.0 | Visualising Splicing at Single-Cell Resolution | Sean Wen |
| valet | 0.9.0 | Provide R Client to the Bank of Canada's Valet API | Corey Runkel |
| valhallr | 0.1.0 | A Tidy Interface to the 'Valhalla' Routing Engine | Christopher Belanger |
| validann | 1.2.1 | Validation Tools for Artificial Neural Networks | Greer B. Humphrey |
| validata | 0.1.0 | Validate Data Frames | Harrison Tietze |
| validate | 1.1.5 | Data Validation Infrastructure | Mark van der Loo |
| validateIt | 1.2.1 | Validating Topic Coherence and Topic Labels | Luwei Ying |
| validatesuggest | 0.3.2 | Generate Suggestions for Validation Rules | Edwin de Jonge |
| validatetools | 0.5.2 | Checking and Simplifying Validation Rule Sets | Edwin de Jonge |
| VALIDICLUST | 0.1.0 | VALID Inference for Clusters Separation Testing | Benjamin Hivert |
| validmind | 0.1.1 | Interface to the 'ValidMind' Platform | Andres Rodriguez |
| valmetrics | 1.0.0 | Metrics and Plots for Model Evaluation | Kristin Piikki |
| valorate | 1.0-1 | Velocity and Accuracy of the LOg-RAnk TEst | Victor Trevino |
| valottery | 0.0.1 | Results from the Virginia Lottery Draw Games | Clay Ford |
| valr | 0.8.0 | Genome Interval Arithmetic | Kent Riemondy |
| valse | 0.1-0 | Variable Selection with Mixture of Models | Benjamin Auder |
| valueEQ5D | 0.7.2 | Scoring EQ-5d Descriptive System | Sheeja Manchira Krishnan |
| valuemap | 2.0.4 | Making Choropleth Map | Huncheol Ha |
| VAM | 1.1.0 | Variance-Adjusted Mahalanobis | H. Robert Frost |
| vamc | 0.2.1 | A Monte Carlo Valuation Framework for Variable Annuities | Mingyi Jiang |
| vampyr | 1.1.1 | Factor Analysis Controlling the Effects of Response Bias | David Navarro-Gonzalez |
| VancouvR | 0.1.7 | Access the 'City of Vancouver' Open Data API | Jens von Bergmann |
| vandalico | 0.0.1 | Evaluation of Presence-Absence Models | Alberto Jiménez-Valverde |
| vangogh | 0.1.1 | A Vincent Van Gogh Color Palette Generator | Cheryl Isabella |
| vannstats | 1.3.4.14 | Simplified Statistics for PA 606 | Burrel Vann Jr |
| vanquish | 1.0.0 | Variant Quality Investigation Helper | Tao Jiang |
| vapour | 0.9.5 | Access to the 'Geospatial Data Abstraction Library' ('GDAL') | Michael Sumner |
| VAR.etp | 1.1 | VAR Modelling: Estimation, Testing, and Prediction | Jae H. Kim |
| varband | 0.9.0 | Variable Banding of Large Precision Matrices | Guo Yu |
| varbin | 0.2.1 | Optimal Binning of Continuous and Categorical Variables | Daniel Safai |
| varbvs | 2.6-10 | Large-Scale Bayesian Variable Selection Using Variational
Methods | Peter Carbonetto |
| varclust | 0.9.4 | Variables Clustering | Piotr Sobczyk |
| VARDetect | 0.1.6 | Multiple Change Point Detection in Structural VAR Models | Yue Bai |
| vardiag | 0.2-1 | Variogram Diagnostics | Edzer Pebesma |
| vardpoor | 0.20.1 | Variance Estimation for Sample Surveys by the Ultimate Cluster
Method | Martins Liberts |
| VarED | 1.0.0 | Variance Estimation using Difference-Based Methods | Wenlin Dai |
| VaRES | 1.0.2 | Computes Value at Risk and Expected Shortfall for over 100
Parametric Distributions | Leo Belzile |
| varEst | 0.1.0 | Variance Estimation | Sayanti Guha Majumdar |
| varhandle | 2.0.6 | Functions for Robust Variable Handling | Mehrad Mahmoudian |
| variability | 0.1.0 | Genetic Variability Analysis for Plant Breeding Research | Raj Popat |
| variables | 1.1-1 | Variable Descriptions | Torsten Hothorn |
| VariableScreening | 0.2.1 | High-Dimensional Screening for Semiparametric Longitudinal
Regression | John Dziak |
| varian | 0.2.2 | Variability Analysis in R | Joshua F. Wiley |
| VarianceGamma | 0.4-2 | The Variance Gamma Distribution | David Scott |
| variantspark | 0.1.1 | A 'Sparklyr' Extension for 'VariantSpark' | Samuel Macêdo |
| variationalDCM | 2.0.1 | Variational Bayesian Estimation for Diagnostic Classification
Models | Keiichiro Hijikata |
| varImp | 0.4 | RF Variable Importance for Arbitrary Measures | Philipp Probst |
| variosig | 0.3-1 | Testing Spatial Dependence Using Empirical Variogram | Craig Wang |
| vaRiskScore | 1.1.0 | VA CVD Risk Score | Xiaofei Chen |
| varitas | 0.0.2 | Variant Calling in Targeted Analysis Sequencing Data | Adam Mills |
| varjmcm | 0.1.1 | Estimations for the Covariance of Estimated Parameters in Joint
Mean-Covariance Models | Naimin Jing |
| varoc | 0.2.0 | Value Added Receiver Operating Characteristics Curve | Yunro Chung |
| varrank | 0.5 | Heuristics Tools Based on Mutual Information for Variable
Ranking | Annina Cincera |
| VarRedOpt | 0.1.0 | A Framework for Variance Reduction | Onur Boyar |
| VarReg | 2.0 | Semi-Parametric Variance Regression | Kristy Robledo |
| vars | 1.6-1 | VAR Modelling | Bernhard Pfaff |
| varSel | 0.2 | Sequential Forward Floating Selection using Jeffries-Matusita
Distance | Michele Dalponte |
| VARSELECTEXPOSURE | 1.0.3 | Variable Selection Methods Including an Exposure Variable | Alex Martinez |
| VarSelLCM | 2.1.3.1 | Variable Selection for Model-Based Clustering of Mixed-Type Data
Set with Missing Values | Mohammed Sedki |
| varSelRF | 0.7-8 | Variable Selection using Random Forests | Ramon Diaz-Uriarte |
| varsExplore | 0.3.0 | Searchable Variable Explorer with Labelled Variables | Vlad Tarko |
| VARshrink | 0.3.1 | Shrinkage Estimation Methods for Vector Autoregressive Models | Namgil Lee |
| vartest | 1.1 | Tests for Variance Homogeneity | Osman Dag |
| varTestnlme | 1.3.5 | Variance Components Testing for Linear and Nonlinear Mixed
Effects Models | Charlotte Baey |
| varycoef | 0.3.4 | Modeling Spatially Varying Coefficients | Jakob A. Dambon |
| vasicek | 0.0.3 | Miscellaneous Functions for Vasicek Distribution | WenSui Liu |
| vasicekreg | 1.0.1 | Regression Modeling Using Vasicek Distribution | Josmar Mazucheli |
| vatcheckapi | 0.1.0 | Client for the 'vatcheckapi.com' VAT Validation API | Dominik Kukacka |
| vaultr | 1.2.0 | Vault Client for Secrets and Sensitive Data | Rich FitzJohn |
| vaxpmx | 0.0.3 | Vaccines Pharmacometrics | Julie Dudasova (MSD) |
| VBJM | 0.1.0 | Variational Inference for Joint Model | Jiehuan Sun |
| VBLPCM | 2.4.9 | Variational Bayes Latent Position Cluster Model for Networks | Michael Salter-Townshend |
| VBsparsePCA | 0.1.0 | The Variational Bayesian Method for Sparse PCA | Bo (Yu-Chien) Ning |
| VBTree | 0.1.1 | Vector Binary Tree to Make Your Data Management More Efficient | Chen Zhang |
| VBV | 0.6.2 | The Generalized Berlin Method for Time Series Decomposition | Detlef Steuer |
| VC2copula | 0.1.5 | Extend the 'copula' Package with Families and Models from
'VineCopula' | Thomas Nagler |
| VCA | 1.5.1 | Variance Component Analysis | Andre Schuetzenmeister |
| vccp | 0.1.1 | Vine Copula Change Point Detection in Multivariate Time Series | Xin Xiong |
| vcd | 1.4-12 | Visualizing Categorical Data | David Meyer |
| vcdExtra | 0.8-5 | 'vcd' Extensions and Additions | Michael Friendly |
| vcfppR | 0.4.5 | Rapid Manipulation of the Variant Call Format (VCF) | Zilong Li |
| vcfR | 1.15.0 | Manipulate and Visualize VCF Data | Brian J. Knaus |
| vcmeta | 1.3.0 | Varying Coefficient Meta-Analysis | Douglas G. Bonett |
| vcov | 0.0.1 | Variance-Covariance Matrices and Standard Errors | Michael Chirico |
| vcPB | 1.1.1 | Longitudinal PB Varying-Coefficient Groupwise Disparity Model | Sang Kyu Lee |
| vcpen | 1.9 | Penalized Variance Components Analysis | Jason Sinnwell |
| vcr | 1.2.2 | Record 'HTTP' Calls to Disk | Scott Chamberlain |
| vctrs | 0.6.5 | Vector Helpers | Davis Vaughan |
| vctsfr | 0.1.1 | Visualizing Collections of Time Series Forecasts | Francisco Martinez |
| vcvComp | 1.0.2 | Comparison of Variance - Covariance Patterns | Anne Le Maitre |
| VDAP | 2.0.0 | Peptide Array Analysis Tools | Cody Moore |
| vdar | 0.1.3-2 | Discriminant Analysis Incorporating Individual Uncertainties | Solveig Pospiech |
| vdg | 1.2.2 | Variance Dispersion Graphs and Fraction of Design Space Plots | Pieter Schoonees |
| Vdgraph | 2.2-7 | Variance Dispersion Graphs and Fraction of Design Space Plots
for Response Surface Designs | John Lawson |
| vdiffr | 1.0.7 | Visual Regression Testing and Graphical Diffing | Lionel Henry |
| vDiveR | 1.2.1 | Visualization of Viral Protein Sequence Diversity Dynamics | Pendy Tok |
| VDJgermlines | 0.1 | Variable, Diversity and Joining Sequences from Various Species | Alexander Yermanos |
| VDSM | 0.1.1 | Visualization of Distribution of Selected Model | Linna Wang |
| VDSPCalibration | 1.0 | Statistical Methods for Designing and Analyzing a Calibration
Study | Lu Tian |
| vec2dtransf | 1.1.3 | 2D Cartesian Coordinate Transformation | German Carrillo |
| veccompare | 0.1.0 | Perform Set Operations on Vectors, Automatically Generating All
n-Wise Comparisons, and Create Markdown Output | Jacob Gerard Levernier |
| VeccTMVN | 1.0.0 | Multivariate Normal Probabilities using Vecchia Approximation | Jian Cao |
| vecsets | 1.4 | Like Set Tools in 'Base' Package but Keeps Duplicate Elements | Carl Witthoft |
| vectorbitops | 1.1.2 | Vector Bitwise Operations | Samuel Sapire |
| VectorCodeR | 0.2.0 | Easily Analyze Your Gait Patterns Using Vector Coding Technique | zhexuan gu <22054513g at connect.polyu.hk> |
| vectorwavelet | 0.1.0 | Vector Wavelet Coherence for Multiple Time Series | Tunc Oygur |
| VedicDateTime | 0.1.9 | Vedic Calendar System | Neeraj Dhanraj Bokde |
| vegalite | 0.6.1 | Tools to Encode Visualizations with the 'Grammar of
Graphics'-Like 'Vega-Lite' 'Spec' | Bob Rudis |
| vegan | 2.6-4 | Community Ecology Package | Jari Oksanen |
| vegan3d | 1.3-0 | Static and Dynamic 3D and Editable Interactive Plots for the
'vegan' Package | Jari Oksanen |
| vegawidget | 0.5.0 | 'Htmlwidget' for 'Vega' and 'Vega-Lite' | Ian Lyttle |
| vegclust | 2.0.2 | Fuzzy Clustering of Vegetation Data | Miquel De Cáceres |
| vegdata | 0.9.12 | Access Vegetation Databases and Treat Taxonomy | Florian Jansen |
| vegperiod | 0.4.0 | Determine Thermal Vegetation Periods | Robert Nuske |
| vegtable | 0.1.8 | Handling Vegetation Data Sets | Miguel Alvarez |
| vein | 1.0.2 | Vehicular Emissions Inventories | Sergio Ibarra-Espinosa |
| velociraptr | 1.1.0 | Fossil Analysis | Andrew A Zaffos |
| vembedr | 0.1.5 | Embed Video in HTML | Ian Lyttle |
| venn | 1.12 | Draw Venn Diagrams | Adrian Dusa |
| VennDiagram | 1.7.3 | Generate High-Resolution Venn and Euler Plots | Paul Boutros |
| venneuler | 1.1-4 | Venn and Euler Diagrams | Simon Urbanek |
| vennplot | 1.0 | Venn Diagrams in 2D and 3D | Zehao Xu |
| verbaliseR | 0.1 | Make your Text Mighty Fine | Cara Thompson |
| verbalisr | 0.5.2 | Describe Pedigree Relationships in Words | Magnus Dehli Vigeland |
| verhoeff | 0.4.0 | Implementation of the 'Verhoeff' Check Digit Algorithm | Conor Neilson |
| verification | 1.42 | Weather Forecast Verification Utilities | Eric Gilleland |
| vermeulen | 0.1.1 | 'Biomarker' Data Set by Vermeulen et al. (2009) | Ramiro Magno |
| versioning | 0.1.0 | Settings and File I/O using a Configuration YAML File | Nathaniel Henry |
| versions | 0.3 | Query and Install Specific Versions of Packages on CRAN | Nick Golding |
| versionsort | 1.1.0 | Sort and Order Version Codes | Laura Bakala |
| versus | 0.3.0 | Compare Data Frames | Ryan Dickerson |
| VertexSimilarity | 0.1 | Creates Vertex Similarity Matrix for an Undirected Graph | Rishabh Singh |
| VeryLargeIntegers | 0.2.1 | Store and Operate with Arbitrarily Large Integers | Javier Leiva Cuadrado |
| vesselr | 0.2.1 | Gradient and Vesselness Tools for Arrays and NIfTI Images | Jordan D. Dworkin |
| vetiver | 0.2.5 | Version, Share, Deploy, and Monitor Models | Julia Silge |
| vetr | 0.2.16 | Trust, but Verify | Brodie Gaslam |
| VetResearchLMM | 1.0.0 | Linear Mixed Models - An Introduction with Applications in
Veterinary Research | Muhammad Yaseen |
| VEwaning | 1.3 | Vaccine Efficacy Over Time | Shannon T. Holloway |
| VEwaningVariant | 1.4 | Vaccine Efficacy Over Time - Variant Aware | Shannon T. Holloway |
| vfcp | 1.4.0 | Computation of v Values for U and Copula C(U, v) | Josef Brejcha |
| vfinputs | 0.1.0 | Visual Filter Inputs for Shiny | Rafael Henkin |
| VFP | 1.4.1 | Variance Function Program | Andre Schuetzenmeister |
| vfprogression | 0.7.1 | Visual Field (VF) Progression Analysis and Plotting Methods | Dian Li |
| VFS | 1.0.2 | Vegetated Filter Strip and Erosion Model | Sarah Goslee |
| VGAM | 1.1-10 | Vector Generalized Linear and Additive Models | Thomas Yee |
| VGAMdata | 1.1-9 | Data Supporting the 'VGAM' Package | Thomas Yee |
| VGAMextra | 0.0-6 | Additions and Extensions of the 'VGAM' Package | Victor Miranda |
| vglmer | 1.0.3 | Variational Inference for Hierarchical Generalized Linear Models | Max Goplerud |
| vhcub | 1.0.0 | Virus-Host Codon Usage Co-Adaptation Analysis | Ali Mostafa Anwar |
| VHDClassification | 0.3 | Discrimination/Classification in very high dimension with linear
and quadratic rules. | Robin Girard |
| vhica | 0.2.8 | Vertical and Horizontal Inheritance Consistence Analysis | Arnaud Le Rouzic |
| via | 0.2.0 | Virtual Arrays | Adam T. Kocsis |
| viafr | 0.3.0 | Interface to the 'VIAF' ('Virtual International Authority File')
API | Stefanie Schneider |
| VIC5 | 0.2.6 | The Variable Infiltration Capacity (VIC) Hydrological Model | Dongdong Kong |
| vICC | 1.0.0 | Varying Intraclass Correlation Coefficients | Donald Williams |
| vici | 0.7.3 | Vaccine Induced Cellular Immunogenicity with Bivariate Modeling | Boris Hejblum |
| VicmapR | 0.2.3 | Access Victorian Spatial Data Through Web File Services (WFS) | Justin Cally |
| Vicus | 0.99.0 | Exploiting Local Structures to Improve Network-Based Analysis of
Biological Data | Koki Tsuyuzaki |
| video | 0.1.1 | 'Shiny' Extension of 'video.js' | Ashley Baldry |
| vietnamcode | 0.1.1 | Convert Vietnam Provincial Codes | Anh Le |
| vietnameseConverter | 0.4.0 | Convert Vietnamese Encodings | Juergen Niedballa |
| ViewPipeSteps | 0.1.0 | Create View Tabs of Pipe Chains | David Ranzolin |
| viewpoly | 0.4.1 | A Shiny App to Visualize Genetic Maps and QTL Analysis in
Polyploid Species | Cristiane Taniguti |
| viewscape | 1.0.0 | Viewscape Analysis | Xiaohao Yang |
| VIGoR | 1.1.2 | Variational Bayesian Inference for Genome-Wide Regression | Akio Onogi |
| viking | 1.0.2 | State-Space Models Inference by Kalman or Viking | Joseph de Vilmarest |
| villager | 1.1.1 | A Framework for Designing and Running Agent Based Models | Thomas Thelen |
| VIM | 6.2.2 | Visualization and Imputation of Missing Values | Matthias Templ |
| VIMean | 0.1.0 | Variability Independent of Mean | Zhicheng Du |
| vimp | 2.3.3 | Perform Inference on Algorithm-Agnostic Variable Importance | Brian D. Williamson |
| vimpclust | 0.1.0 | Variable Importance in Clustering | Madalina Olteanu |
| VIMPS | 1.0 | Calculate Variable Importance with Knock Off Variables | Meredith Wallace |
| vindecodr | 0.1.1 | Provides an Interface to the Department of Transportation VIN
Decoder | Christopher Burch |
| VineCopula | 2.5.0 | Statistical Inference of Vine Copulas | Thomas Nagler |
| vinereg | 0.10.0 | D-Vine Quantile Regression | Thomas Nagler |
| vines | 1.1.5 | Multivariate Dependence Modeling with Vines | Yasser Gonzalez-Fernandez |
| violinplotter | 3.0.1 | Plotting and Comparing Means with Violin Plots | Jefferson Paril |
| vioplot | 0.4.0 | Violin Plot | S. Thomas Kelly |
| vip | 0.4.1 | Variable Importance Plots | Brandon M. Greenwell |
| vipor | 0.4.7 | Plot Categorical Data Using Quasirandom Noise and Density
Estimates | Scott Sherrill-Mix |
| viraldomain | 0.0.3 | Applicability Domain Methods of Viral Load and CD4 Lymphocytes | Juan Pablo Acuña González <22253567 at uagro.mx> |
| viralmodels | 1.2.0 | Viral Load and CD4 Lymphocytes Regression Models | Juan Pablo Acuña González <22253567 at uagro.mx> |
| viralx | 1.3.0 | Explainers for Regression Models in HIV Research | Juan Pablo Acuña González <22253567 at uagro.mx> |
| VIRF | 0.1.0 | Computation of Volatility Impulse Response Function of
Multivariate Time Series | Dr. Ranjit Kumar Paul |
| viridis | 0.6.5 | Colorblind-Friendly Color Maps for R | Simon Garnier |
| viridisLite | 0.4.2 | Colorblind-Friendly Color Maps (Lite Version) | Simon Garnier |
| virtualPollen | 1.0.1 | Simulating Pollen Curves from Virtual Taxa with Different Life
and Niche Traits | Blas M. Benito |
| VirtualPop | 2.0.2 | Simulation of Populations by Sampling Waiting-Time Distributions | Frans Willekens |
| virtualspecies | 1.6 | Generation of Virtual Species Distributions | Boris Leroy |
| virtuoso | 0.1.8 | Interface to 'Virtuoso' using 'ODBC' | Carl Boettiger |
| viruslearner | 0.0.2 | Ensemble Learning for HIV-Related Metrics | Juan Pablo Acuña González |
| virustotal | 0.2.2 | R Client for the VirusTotal API | Gaurav Sood |
| visa | 0.1.0 | Vegetation Imaging Spectroscopy Analyzer | Kang Yu |
| visachartR | 3.3.0 | Wrapper for 'Visa Chart Components' | Christopher DeMartini |
| visae | 0.2.0 | Visualization of Adverse Events | Marcio A. Diniz |
| visaOTR | 0.1.0 | Valid Improved Sparsity A-Learning for Optimal Treatment
Decision | Zishu Zhan |
| VisCollin | 0.1.2 | Visualizing Collinearity Diagnostics | Michael Friendly |
| viscomp | 1.0.0 | Visualize Multi-Component Interventions in Network Meta-Analysis | Georgios Seitidis |
| viscomplexr | 1.1.1 | Phase Portraits of Functions in the Complex Number Plane | Peter Biber |
| visdat | 0.6.0 | Preliminary Visualisation of Data | Nicholas Tierney |
| ViSiElse | 1.2.2 | A Visual Tool for Behavior Analysis over Time | Elodie Garnier |
| visit | 2.2 | Vaccine Phase I Design with Simultaneous Evaluation of
Immunogenicity and Toxicity | Chenguang Wang |
| VisitorCounts | 2.0.0 | Modeling and Forecasting Visitor Counts Using Social Media | Robert Bowen |
| vismeteor | 1.8.5 | Analysis of Visual Meteor Data | Janko Richter |
| visNetwork | 2.1.2 | Network Visualization using 'vis.js' Library | Benoit Thieurmel |
| visOmopResults | 0.2.1 | Graphs and Tables for OMOP Results | Núria Mercadé-Besora |
| visR | 0.4.1 | Clinical Graphs and Tables Adhering to Graphical Principles | Mark Baillie |
| visreg | 2.7.0 | Visualization of Regression Models | Patrick Breheny |
| visStatistics | 0.1.1 | Automated Visualization of Statistical Tests | Sabine Schilling |
| vistime | 1.2.4 | Pretty Timelines in R | Sandro Raabe |
| vistla | 2.0.1 | Detecting Influence Paths with Information Theory | Miron B. Kursa |
| visTree | 0.8.1 | Visualization of Subgroups for Decision Trees | Ashwini Venkatasubramaniam |
| vistributions | 0.1.2 | Visualize Probability Distributions | Aravind Hebbali |
| VisualDom | 0.8.0 | Visualize Dominant Variables in Wavelet Multiple Correlation | Josué M. Polanco-Martínez |
| visualFields | 1.0.1 | Statistical Methods for Visual Fields | Ivan Marin-Franch |
| visualize | 4.5.0 | Graph Probability Distributions with User Supplied Parameters
and Statistics | James Balamuta |
| Visualize.CRAN.Downloads | 1.0.3 | Visualize Downloads from 'CRAN' Packages | Marcelo Ponce |
| VisualizeSimon2Stage | 0.1.3 | Visualize Simon's Two-Stage Design | Tingting Zhan |
| visualpred | 0.1.0 | Visualization 2D of Binary Classification Models | Javier Portela |
| visvow | 1.3.11 | Visible Vowels: Visualization of Vowel Variation | Wilbert Heeringa |
| visxhclust | 1.1.0 | A Shiny App for Visual Exploration of Hierarchical Clustering | Rafael Henkin |
| vita | 1.0.0 | Variable Importance Testing Approaches | Ender Celik |
| vitae | 0.5.4 | Curriculum Vitae for R Markdown | Mitchell O'Hara-Wild |
| vitality | 1.3 | Fitting Routines for the Vitality Family of Mortality Models | David J. Sharrow |
| vivainsights | 0.5.2 | Analyze and Visualize Data from 'Microsoft Viva Insights' | Martin Chan |
| vivaldi | 1.0.1 | Viral Variant Location and Diversity | David Gresham |
| vivid | 0.2.8 | Variable Importance and Variable Interaction Displays | Alan Inglis |
| vivo | 0.2.1 | Variable Importance via Oscillations | Anna Kozak |
| vizdraws | 2.0.0 | Visualize Draws from the Prior and Posterior Distributions | Ignacio Martinez |
| vkR | 0.2 | Access to VK API via R | Dmitriy Sorokin |
| VLF | 1.1 | Frequency Matrix Approach for Assessing Very Low Frequency
Variants in Sequence Records | Taryn B. T. Athey |
| VLMC | 1.4-3-1 | Variable Length Markov Chains ('VLMC') Models | Martin Maechler |
| VLMCX | 1.0 | Variable Length Markov Chain with Exogenous Covariates | Adriano Zanin Zambom Developer |
| VLTimeCausality | 0.1.4 | Variable-Lag Time Series Causality Inference Framework | Chainarong Amornbunchornvej |
| VMDecomp | 1.0.1 | Variational Mode Decomposition | Lampros Mouselimis |
| VMDML | 0.1.1 | Variational Mode Decomposition Based Machine Learning Models | Pankaj Das |
| vmdTDNN | 0.1.1 | VMD Based Time Delay Neural Network Model | Kapil Choudhary |
| vmeasur | 0.1.4 | Quantify the Contractile Nature of Vessels Monitored under an
Operating Microscope | James JW Hucklesby |
| vMF | 0.0.3 | Sampling from the von Mises-Fisher Distribution | Aristide Houndetoungan |
| vmr | 0.0.6 | Virtual Machines for R | Jean-François Rey |
| vntrs | 0.1.1 | Variable Neighborhood Trust Region Search | Lennart Oelschläger |
| vocaldia | 0.8.4 | Create and Manipulate Vocalisation Diagrams | Saturnino Luz |
| voi | 1.0.2 | Expected Value of Information | Christopher Jackson |
| voice | 0.4.21 | Tools for Voice Analysis, Speaker Recognition and Mood Inference | Zabala Filipe J. |
| voiceR | 0.1.0 | Voice Analytics for Social Scientists | Francesc Busquet |
| vol2birdR | 1.0.2 | Vertical Profiles of Biological Signals in Weather Radar Data | Alexander Tedeschi |
| volatilityTrader | 1.0.1 | High Volatility Environment Option Trading Strategies Graphs | MaheshP Kumar |
| volcano3D | 2.0.9 | 3D Volcano Plots and Polar Plots for Three-Class Data | Katriona Goldmann |
| volcanoPlot | 1.0.0 | Volcano Plot for Clinical Trial Adverse Events | Jeremy Wildfire |
| volesti | 1.1.2-7 | Volume Approximation and Sampling of Convex Polytopes | Vissarion Fisikopoulos |
| volker | 1.0.2 | High-Level Functions for Tabulating, Charting and Reporting
Survey Data | Jakob Jünger |
| volleystat | 0.2.0 | Detailed Statistics on Volleyball Matches | Viktor Bozhinov |
| voluModel | 0.2.1 | Modeling Species Distributions in Three Dimensions | Hannah L. Owens |
| voronoiTreemap | 0.2.0 | Voronoi Treemaps with Added Interactivity by Shiny | Alexander Kowarik |
| VorteksExport | 0.1.8 | Export Dataframes to 'Vorteks' Software | Lansdon Page |
| vortexRdata | 1.0.5 | Example Data for R Package 'vortexR' | Carlo Pacioni |
| voson.tcn | 0.5.0 | Twitter Conversation Networks and Analysis | Bryan Gertzel |
| VOSONDash | 0.5.7 | User Interface for Collecting and Analysing Social Networks | Bryan Gertzel |
| vosonSML | 0.32.7 | Collecting Social Media Data and Generating Networks for
Analysis | Bryan Gertzel |
| Voss | 0.1.5 | Generic Voss Algorithm (Random Sequential Additions) | Pavel V. Moskalev |
| vote | 2.4-3 | Election Vote Counting | Hana Sevcikova |
| voteogram | 0.3.2 | United States House and Senate Voting Cartogram Generators | Bob Rudis |
| voteSim | 0.1.1 | Generate Simulated Data for Voting Rules using Evaluations | Antoine Rolland |
| votesmart | 0.1.2 | Wrapper for the Project 'VoteSmart' API | Amanda Dobbyn |
| votesys | 0.1.1 | Voting Systems, Instant-Runoff Voting, Borda Method, Various
Condorcet Methods | Jiang Wu |
| vottrans | 1.0 | Voter Transition Analysis | Michael Gampmayer |
| vov | 0.1.2 | CSS Animations for 'shiny' Elements | Tyler Littlefield |
| vowels | 1.2-2 | Vowel Manipulation, Normalization, and Plotting | Tyler Kendall |
| voxel | 1.3.5 | Mass-Univariate Voxelwise Analysis of Medical Imaging Data | Angel Garcia de la Garza |
| VoxR | 1.0.0 | Trees Geometry and Morphology from Unstructured TLS Data | Bastien Lecigne |
| vpc | 1.2.2 | Create Visual Predictive Checks | Ron Keizer |
| VPdtw | 2.1-14 | Variable Penalty Dynamic Time Warping | Ethan Bass |
| vprr | 0.2.3 | Processing and Visualization of Video Plankton Recorder Data | Emily O'Grady |
| vrnmf | 1.0.2 | Volume-Regularized Structured Matrix Factorization | Evan Biederstedt |
| vroom | 1.6.5 | Read and Write Rectangular Text Data Quickly | Jennifer Bryan |
| vrtest | 1.2 | Variance Ratio Tests and Other Tests for Martingale Difference
Hypothesis | Jae H. Kim |
| vscc | 0.7 | Variable Selection for Clustering and Classification | Paul D. McNicholas |
| vsd | 0.1.0 | Graphical Shim for Visual Survival Data Analysis | Daniel Camacho <2016711 at student.uma.pt> |
| vsgoftest | 1.0-1 | Goodness-of-Fit Tests Based on Kullback-Leibler Divergence | Philippe Regnault |
| VSOLassoBag | 0.99.1 | Variable Selection Oriented LASSO Bagging Algorithm | Chaoye Wang |
| vsp | 0.1.1 | Vintage Sparse PCA for Semi-Parametric Factor Analysis | Alex Hayes |
| vstdct | 0.2 | Nonparametric Estimation of Toeplitz Covariance Matrices | Karolina Klockmann |
| vstsr | 1.1.0 | Access to 'Azure DevOps' API via R | Ashley Baldry |
| VSURF | 1.2.0 | Variable Selection Using Random Forests | Robin Genuer |
| vtable | 1.4.6 | Variable Table for Variable Documentation | Nick Huntington-Klein |
| vtreat | 1.6.4 | A Statistically Sound 'data.frame' Processor/Conditioner | John Mount |
| vtree | 5.6.5 | Display Information About Nested Subsets of a Data Frame | Nick Barrowman |
| VTShiny | 0.1.0 | Interactive Document for Working with Variance Analysis | Kartikeya Bolar |
| vtype | 0.8 | Estimates the Variable Type in Error Afflicted Data | Andreas Schulz |
| vudc | 1.1 | Visualization of Univariate Data for Comparison | Csaba Farago |
| vueR | 0.6.0 | 'Vuejs' Helpers and 'Htmlwidget' | Kent Russell |
| VulnToolkit | 1.1.4 | Analysis of Tidal Datasets | Troy Hill |
| VUROCS | 1.0 | Volume under the ROC Surface for Multi-Class ROC Analysis | Hannes Kazianka |
| vvauditor | 0.6.0 | Creates Assertion Tests | Tomer Iwan |
| vvcanvas | 0.0.3 | 'Canvas' LMS API Integration | Tomer Iwan |
| vvconverter | 0.5.9 | Apply Transformations to Data | Tomer Iwan |
| vvfiller | 0.6.7 | Fill Data Points | Tomer Iwan |
| vvmover | 1.6.0 | Read and Write Data | Tomer Iwan |
| vvsculptor | 0.4.10 | Apply Manipulations to Data Frames | Tomer Iwan |
| vvshiny | 0.1.1 | Create Complex Shiny Apps More Easily | Corneel Den Hartogh |
| vvtableau | 0.6.0 | R Interface for 'Tableau' Services | Tomer Iwan |
| vvtermtime | 0.0.1 | Interface for 'Semestry TermTime' Services | Tomer Iwan |
| vwline | 0.2-2 | Draw Variable-Width Lines | Paul Murrell |
| VWPre | 1.2.4 | Tools for Preprocessing Visual World Data | Vincent Porretta |
| vyos | 1.0.2 | Interface for Multiple Data Providers 'EDDS' and 'FRED' | Sermet Pekin |
| W2CWM2C | 2.2 | A Graphical Tool for Wavelet (Cross) Correlation and Wavelet
Multiple (Cross) Correlation Analysis | Josue M. Polanco-Martinez |
| W3CMarkupValidator | 0.1-7 | R Interface to W3C Markup Validation Services | Kurt Hornik |
| W4MRUtils | 1.0.0 | Utils List for W4M - Workflow for Metabolomics | Lain Pavot |
| WA | 1.0 | While-Alive Loss Rate for Recurrent Event in the Presence of
Death | Lu Mao |
| wacolors | 0.3.1 | Colorblind-Friendly Palettes from Washington State | Cory McCartan |
| WACS | 1.1.0 | Multivariate Weather-State Approach Conditionally Skew-Normal
Generator | Ronan Trépos |
| wactor | 0.0.1 | Word Factor Vectors | Michael W. Kearney |
| waffle | 1.0.2 | Create Waffle Chart Visualizations | Bob Rudis |
| waiter | 0.2.5 | Loading Screen for 'Shiny' | John Coene |
| wakefield | 0.3.6 | Generate Random Data Sets | Tyler Rinker |
| wal | 0.1.1 | Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets | Tim Schäfer |
| waldo | 0.5.2 | Find Differences Between R Objects | Hadley Wickham |
| walkboutr | 0.6.0 | Generate Walk Bouts from GPS and Accelerometry Data | Lauren Blair Wilner |
| walker | 1.0.8 | Bayesian Generalized Linear Models with Time-Varying
Coefficients | Jouni Helske |
| walkscore | 0.1.2 | A Tidy Interface to the 'Walk Score' API | Christopher Belanger |
| walkscoreAPI | 1.2 | Walk Score and Transit Score API | John Whalen |
| wallace | 2.1.2 | A Modular Platform for Reproducible Modeling of Species Niches
and Distributions | Mary E. Blair |
| WallomicsData | 1.0 | Datasets for Multi-Omics Integration in a Plant Abiotic Stress
Context | Sébastien Déjean |
| wally | 1.0.10 | The Wally Calibration Plot for Risk Prediction Models | Paul F. Blanche |
| walmartAPI | 0.1.5 | Walmart Open API Wrapper | Emil Hvitfeldt |
| walrus | 1.0.5 | Robust Statistical Methods | Jonathon Love |
| WALS | 0.2.4 | Weighted-Average Least Squares Model Averaging | Kevin Huynh |
| WaMaSim | 1.0.0 | Simulate Rehabilitation Strategies for Water Distribution
Systems | Christian Foerster |
| wand | 0.5.0 | Retrieve 'Magic' Attributes from Files and Directories | Bob Rudis |
| warabandi | 0.1.0 | Roster Generation of Turn for Weekdays:'warabandi' | Harvinder Singh |
| warbleR | 1.1.30 | Streamline Bioacoustic Analysis | Marcelo Araya-Salas |
| WARN | 1.2-4 | Weaning Age Reconstruction with Nitrogen Isotope Analysis | Takumi Tsutaya |
| warp | 0.2.1 | Group Dates | Davis Vaughan |
| warpMix | 0.1.0 | Mixed Effects Modeling with Warping for Functional Data Using
B-Spline | Emilie Devijver |
| washdata | 0.1.3 | Urban Water and Sanitation Survey Dataset | Ernest Guevarra |
| washeR | 0.1.3 | Time Series Outlier Detection | Andrea Venturini |
| washex | 1.2.0 | Washington State Legislative Explorer | Rohnin Randles |
| washi | 0.2.0 | Washington Soil Health Initiative Branding | Jadey Ryan |
| WASP | 1.4.3 | Wavelet System Prediction | Ze Jiang |
| waspasR | 0.1.5 | Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria
Decision Analysis Solution | Flavio Barbara |
| waspr | 1.0.1 | Wasserstein Barycenters of Subset Posteriors | Jolien Cremers |
| waterData | 1.0.8 | Retrieval, Analysis, and Anomaly Calculation of Daily Hydrologic
Time Series Data | Karen R. Ryberg |
| waterfall | 1.0.2 | Waterfall Charts | "James P. Howard, II" |
| waterfalls | 1.0.0 | Create Waterfall Charts using 'ggplot2' Simply | Hugh Parsonage |
| waterquality | 1.0.0 | Satellite Derived Water Quality Detection Algorithms | Richard Johansen |
| waterYearType | 1.0.1 | Sacramento and San Joaquin Valley Water Year Types | Sadie Gill |
| Wats | 1.0.1 | Wrap Around Time Series Graphics | Will Beasley |
| watson | 0.4 | Fitting and Simulating Mixtures of Watson Distributions | Lukas Sablica |
| wav | 0.1.0 | Read and Write WAV Files | Daniel Falbel |
| waveband | 4.7.2 | Computes Credible Intervals for Bayesian Wavelet Shrinkage | Guy Nason |
| waved | 1.3 | Wavelet Deconvolution | Michael Stewart |
| WaveletANN | 0.1.2 | Wavelet ANN Model | Dr. Ranjit Kumar Paul |
| WaveletArima | 0.1.2 | Wavelet-ARIMA Model for Time Series Forecasting | Dr. Ranjit Kumar Paul |
| WaveletComp | 1.1 | Computational Wavelet Analysis | Angi Roesch |
| WaveletETS | 0.1.0 | Wavelet Based Error Trend Seasonality Model | Dr. Md Yeasin |
| WaveletGARCH | 0.1.1 | Fit the Wavelet-GARCH Model to Volatile Time Series Data | Dr. Ranjit Kumar Paul |
| WaveletGBM | 0.1.0 | Wavelet Based Gradient Boosting Method | Dr. Ranjit Kumar Paul |
| WaveletKNN | 0.1.0 | Wavelet Based K-Nearest Neighbor Model | Dr. Md Yeasin |
| WaveletLSTM | 0.1.0 | Wavelet Based LSTM Model | Dr. Md Yeasin |
| WaveletML | 0.1.0 | Wavelet Decomposition Based Hybrid Machine Learning Models | Mr. Sandip Garai |
| WaveletMLbestFL | 0.1.0 | The Best Wavelet Filter-Level for Prepared Wavelet-Based Models | Mr. Sandip Garai |
| WaveletRF | 0.1.0 | Wavelet-RF Hybrid Model for Time Series Forecasting | Ranjit Kumar Paul |
| wavelets | 0.3-0.2 | Functions for Computing Wavelet Filters, Wavelet Transforms and
Multiresolution Analyses | Eric Aldrich |
| WaveletSVR | 0.1.0 | Wavelet-SVR Hybrid Model for Time Series Forecasting | Ranjit Kumar Paul |
| wavemulcor | 3.1.2 | Wavelet Routines for Global and Local Multiple Regression and
Correlation | Javier Fernandez-Macho |
| waver | 0.3.0 | Calculate Fetch and Wave Energy | Philippe Marchand |
| WaverideR | 0.3.2 | Extracting Signals from Wavelet Spectra | Michiel Arts |
| WaverR | 1.0 | Data Estimation using Weighted Averages of Multiple Regressions | Olivia Cheronet |
| waves | 0.2.5 | Vis-NIR Spectral Analysis Wrapper | Jenna Hershberger |
| WaveSampling | 0.1.3 | Weakly Associated Vectors (WAVE) Sampling | Raphaël Jauslin |
| waveslim | 1.8.4 | Basic Wavelet Routines for One-, Two-, and Three-Dimensional
Signal Processing | Brandon Whitcher |
| wavethresh | 4.7.2 | Wavelets Statistics and Transforms | Guy Nason |
| wavScalogram | 1.1.3 | Wavelet Scalogram Tools for Time Series Analysis | Vicente J. Bolos |
| waydown | 1.1.0 | Computation of Approximate Potentials for Weakly Non-Gradient
Fields | Pablo Rodríguez-Sánchez |
| waywiser | 0.5.1 | Ergonomic Methods for Assessing Spatial Models | Michael Mahoney |
| wbacon | 0.6-1 | Weighted BACON Algorithms | Tobias Schoch |
| wbs | 1.4 | Wild Binary Segmentation for Multiple Change-Point Detection | Rafal Baranowski |
| wbsd | 1.0.0 | Wild Bootstrap Size Diagnostics | David Preinerstorfer |
| wbstats | 1.0.4 | Programmatic Access to Data and Statistics from the World Bank
API | Jesse Piburn |
| wbsts | 2.1 | Multiple Change-Point Detection for Nonstationary Time Series | Karolos Korkas |
| wcde | 0.0.7 | Download Data from the Wittgenstein Centre Human Capital Data
Explorer | Guy J. Abel |
| WCE | 1.0.3 | Weighted Cumulative Exposure Models | Marie-Pierre Sylvestre |
| wcep | 1.0.2 | Survival Analysis for Weighted Composite Endpoints | Sarah Rathwell |
| WCluster | 1.2.0 | Clustering and PCA with Weights, and Data Nuggets Clustering | Yajie Duan |
| WCM | 0.2.2 | Water Cloud Model (WCM) for the Simulation of Leaf Area Index
(LAI) and Soil Moisture (SM) from Microwave Backscattering | Ujjwal Singh |
| Wcompo | 1.0 | Semiparametric Proportional Means Regression of Weighted
Composite Endpoint | Lu Mao |
| wconf | 1.0.0 | Weighted Confusion Matrix | Alexandru Monahov |
| wCorr | 1.9.8 | Weighted Correlations | Paul Bailey |
| wcox | 1.0 | Weights to Correct for Outcome Dependent Sampling in Time to
Event Data | Vera Arntzen |
| WDI | 2.7.8 | World Development Indicators and Other World Bank Data | Vincent Arel-Bundock |
| wdm | 0.2.4 | Weighted Dependence Measures | Thomas Nagler |
| wdman | 0.2.6 | 'Webdriver'/'Selenium' Binary Manager | Ju Yeong Kim |
| wdnet | 1.2.3 | Weighted and Directed Networks | Yelie Yuan |
| wdnr.gis | 0.1.5 | Pull Spatial Layers from 'WDNR ArcGIS REST API' | Paul Frater |
| wdpar | 1.3.7 | Interface to the World Database on Protected Areas | Jeffrey O Hanson |
| weaana | 0.1.1 | Analysis the Weather Data | Bangyou Zheng |
| weakARMA | 1.0.3 | Tools for the Analysis of Weak ARMA Models | Julien Yves Rolland |
| wearables | 0.8.1 | Tools to Read and Convert Wearables Data | Peter de Looff |
| weatherindices | 0.1.0 | Calculate Weather Indices | Akhilesh Kumar Gupta |
| weathermetrics | 1.2.2 | Functions to Convert Between Weather Metrics | Brooke Anderson |
| WebAnalytics | 0.9.12 | Web Server Log Analysis | Greg Hunt |
| webchem | 1.3.0 | Chemical Information from the Web | Tamás Stirling |
| webdeveloper | 1.0.5 | Functions for Web Development | Timothy Conwell |
| webdriver | 1.0.6 | 'WebDriver' Client for 'PhantomJS' | Gábor Csárdi |
| webexercises | 1.1.0 | Create Interactive Web Exercises in 'R Markdown' (Formerly
'webex') | Lisa DeBruine |
| webfakes | 1.3.0 | Fake Web Apps for HTTP Testing | Gábor Csárdi |
| WebGestaltR | 0.4.6 | Gene Set Analysis Toolkit WebGestaltR | Yuxing Liao |
| webglobe | 1.0.3 | 3D Interactive Globes | Richard Barnes |
| webmap | 1.1.0 | Create Interactive Web Maps Using 'The National Map' Services | Jason C. Fisher |
| webmockr | 0.9.0 | Stubbing and Setting Expectations on 'HTTP' Requests | Scott Chamberlain |
| webmorphR | 0.1.1 | Reproducible Stimuli | Lisa DeBruine |
| webp | 1.2.0 | A New Format for Lossless and Lossy Image Compression | Jeroen Ooms |
| WebPower | 0.9.4 | Basic and Advanced Statistical Power Analysis | Zhiyong Zhang |
| webr | 0.1.5 | Data and Functions for Web-Based Analysis | Keon-Woong Moon |
| webreadr | 0.4.0 | Tools for Reading Formatted Access Log Files | Oliver Keyes |
| webSDM | 1.1-4 | Including Known Interactions in Species Distribution Models | Giovanni Poggiato |
| websearchr | 0.0.3 | Access Domains and Search Popular Websites | Florian S. Schaffner |
| webshot | 0.5.5 | Take Screenshots of Web Pages | Winston Chang |
| webshot2 | 0.1.1 | Take Screenshots of Web Pages | Winston Chang |
| websocket | 1.4.1 | 'WebSocket' Client Library | Winston Chang |
| webtrackR | 0.1.0 | Preprocessing and Analyzing Web Tracking Data | David Schoch |
| webuse | 0.1.3 | Import Stata 'webuse' Datasets | Jodi Beggs |
| webutils | 1.2.0 | Utility Functions for Developing Web Applications | Jeroen Ooms |
| wec | 0.4-1 | Weighted Effect Coding | Rense Nieuwenhuis |
| weed | 1.1.2 | Wrangler for Emergency Events Database | Ram Kripa |
| WEGE | 0.1.0 | A Metric to Rank Locations for Biodiversity Conservation | Harith Farooq |
| wehoop | 2.0.0 | Access Women's Basketball Play by Play Data | Saiem Gilani |
| WeibullFit | 0.1.0 | Fits and Plots a Dataset to the Weibull Probability Distribution
Function | Thiago Martins |
| weibullness | 1.24.1 | Goodness-of-Fit Test for Weibull Distribution (Weibullness) | Chanseok Park |
| WeibullR | 1.2.1 | Weibull Analysis for Reliability Engineering | Jacob Ormerod |
| WeibullR.ALT | 0.7.2 | Accelerated Life Testing Using 'WeibullR' | Jacob Ormerod |
| WeibullR.learnr | 0.1.1 | An Interactive Introduction to Life Data Analysis | Paul Govan |
| WeibullR.plotly | 0.2.0 | Interactive Weibull Probability Plots with 'WeibullR' | Paul Govan |
| WeibullR.shiny | 0.2.0 | A 'Shiny' App for Weibull Analysis from 'WeibullR' | Paul Govan |
| weibulltools | 2.1.0 | Statistical Methods for Life Data Analysis | Tim-Gunnar Hensel |
| Weighted.Desc.Stat | 1.0 | Weighted Descriptive Statistics | Abbas Parchami |
| weightedCL | 0.5 | Efficient and Feasible Inference for High-Dimensional Normal
Copula Regression Models | Aristidis K. Nikoloulopoulos |
| WeightedCluster | 1.6-4 | Clustering of Weighted Data | Matthias Studer |
| WeightedEnsemble | 0.1.0 | Weighted Ensemble for Hybrid Model | Dr. Md Yeasin |
| weightedGCM | 0.1.0 | Weighted Generalised Covariance Measure Conditional Independence
Test | Cyrill Scheidegger |
| WeightedPortTest | 1.1 | Weighted Portmanteau Tests for Time Series Goodness-of-Fit | Thomas J. Fisher |
| weightedRank | 0.2.5 | Sensitivity Analysis Using Weighted Rank Statistics | Paul Rosenbaum |
| WeightedROC | 2020.1.31 | Fast, Weighted ROC Curves | Toby Dylan Hocking |
| weightedScores | 0.9.5.3 | Weighted Scores Method for Regression Models with Dependent Data | Aristidis K. Nikoloulopoulos |
| WeightedTreemaps | 0.1.2 | Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical
Data | Michael Jahn |
| weightedZdiff | 0.1.0 | Calculation of z-Differences | Tim Filla |
| WeightIt | 1.0.0 | Weighting for Covariate Balance in Observational Studies | Noah Greifer |
| weightQuant | 1.0.1 | Weights for Incomplete Longitudinal Data and Quantile Regression | Viviane Philipps |
| weightr | 2.0.2 | Estimating Weight-Function Models for Publication Bias | Kathleen M. Coburn |
| weights | 1.0.4 | Weighting and Weighted Statistics | Josh Pasek |
| WeightSVM | 1.7-13 | Subject Weighted Support Vector Machines | Tianchen Xu |
| weird | 1.0.2 | Functions and Data Sets for "That's Weird: Anomaly Detection
Using R" by Rob J Hyndman | Rob Hyndman |
| weirs | 0.25 | A Hydraulics Package to Compute Open-Channel Flow over Weirs | William Asquith |
| welchADF | 0.3.2 | Welch-James Statistic for Robust Hypothesis Testing under
Heterocedasticity and Non-Normality | Pablo J. Villacorta |
| welo | 0.1.4 | Weighted and Standard Elo Rates | Vincenzo Candila |
| WeMix | 4.0.3 | Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum
Likelihood Estimation | Paul Bailey |
| wesanderson | 0.3.7 | A Wes Anderson Palette Generator | Karthik Ram |
| wevid | 0.6.2 | Quantifying Performance of a Binary Classifier Through Weight of
Evidence | Marco Colombo |
| weyl | 0.0-4 | The Weyl Algebra | Robin K. S. Hankin |
| wfe | 1.9.1 | Weighted Linear Fixed Effects Regression Models for Causal
Inference | In Song Kim |
| wfg | 0.1 | Weighted Fast Greedy Algorithm | Han Yu |
| wfindr | 0.1.0 | Crossword, Scrabble and Anagram Solver | Iaroslav Domin |
| wflo | 1.9 | Data Set and Helper Functions for Wind Farm Layout Optimization
Problems | Carsten Croonenbroeck |
| wgaim | 2.0-1 | Whole Genome Average Interval Mapping for QTL Detection and
Estimation using ASReml-R | Julian Taylor |
| WGCNA | 1.72-5 | Weighted Correlation Network Analysis | Peter Langfelder |
| wgeesel | 1.5 | Weighted Generalized Estimating Equations and Model Selection | Zheng Li |
| WGScan | 0.1 | A Genome-Wide Scan Statistic Framework for Whole-Genome Sequence
Data Analysis | Zihuai He |
| WgtEff | 0.1.2 | Functions for Weighting Effects | Joshua Miller |
| WH | 1.1.0 | Enhanced Implementation of Whittaker-Henderson Smoothing | Guillaume Biessy |
| WhatIf | 1.5-10 | Software for Evaluating Counterfactuals | Soubhik Barari |
| WhatsR | 1.0.4 | Parsing, Anonymizing and Visualizing Exported 'WhatsApp' Chat
Logs | Julian Kohne |
| whatthreewords | 0.1.3 | Work with the 'what3words' API for Easy Location Referencing | David Smith |
| wheatmap | 0.2.0 | Incrementally Build Complex Plots using Natural Semantics | Wanding Zhou |
| when | 1.0.0 | Definition of Date and Time Dimension Tables | Jose Samos |
| whereami | 0.2.0 | Reliably Return the Source and Call Location of a Command | Jonathan Sidi |
| whereport | 0.1 | Geolocalization of IATA Codes | Giulio Valentino Dalla Riva |
| whippr | 0.1.3 | Tools for Manipulating Gas Exchange Data | Felipe Mattioni Maturana |
| whisker | 0.4.1 | {{mustache}} for R, Logicless Templating | Edwin de Jonge |
| whitebox | 2.3.4 | 'WhiteboxTools' R Frontend | Andrew Brown |
| whitechapelR | 0.3.0 | Advanced Policing Techniques for the Board Game "Letters from
Whitechapel" | Mark Ewing |
| whitening | 1.4.0 | Whitening and High-Dimensional Canonical Correlation Analysis | Korbinian Strimmer |
| whitestrap | 0.0.1 | White Test and Bootstrapped White Test for Heteroskedasticity | Jorge Lopez Perez |
| WhiteStripe | 2.4.2 | White Matter Normalization for Magnetic Resonance Images | John Muschelli |
| whitewater | 0.1.3 | Parallel Processing Options for Package 'dataRetrieval' | Josh Erickson |
| whoa | 0.0.2 | Evaluation of Genotyping Error in Genotype-by-Sequencing Data | Eric C. Anderson |
| whoami | 1.3.0 | Username, Full Name, Email Address, 'GitHub' Username of the
Current User | Gábor Csárdi |
| whomds | 1.1.1 | Calculate Results from WHO Model Disability Survey Data | Lindsay Lee |
| whSample | 0.9.6.2 | Utilities for Sampling | Paul West |
| widals | 0.6.1 | Weighting by Inverse Distance with Adaptive Least Squares | Dave Zes |
| widgetframe | 0.3.1 | 'Htmlwidgets' in Responsive 'iframes' | Bhaskar Karambelkar |
| widyr | 0.1.5 | Widen, Process, then Re-Tidy Data | Julia Silge |
| WienR | 0.3-15 | Derivatives of the First-Passage Time Density and Cumulative
Distribution Function, and Random Sampling from the (Truncated)
First-Passage Time Distribution | Raphael Hartmann |
| wiesbaden | 1.2.9 | Access Databases from the Federal Statistical Office of Germany | Moritz Marbach |
| wig | 0.1.0 | Import WIG Data into R in Long Format | Ramiro Magno |
| wikibooks | 0.2.1 | Functions and Datasets of the German WikiBook "GNU R" | Joerg grosse Schlarmann (aka Produnis) |
| WikidataQueryServiceR | 1.0.0 | API Client Library for 'Wikidata Query Service' | Mikhail Popov |
| WikidataR | 2.3.3 | Read-Write API Client Library for Wikidata | Thomas Shafee |
| wikifacts | 0.4.2 | Get Facts and Data from Wikipedia and Wikidata | Keith McNulty |
| wikilake | 0.7.0 | Scrape Lake Metadata Tables from Wikipedia | Jemma Stachelek |
| WikipediR | 1.7.1 | A MediaWiki API Wrapper | Os Keyes |
| wikiprofiler | 0.1.3 | 'WikiPathway' Based Data Integration and Visualization | Guangchuang Yu |
| wikitaxa | 0.4.0 | Taxonomic Information from 'Wikipedia' | Scott Chamberlain |
| wikiTools | 0.0.6 | Tools for Wikidata and Wikipedia | Modesto Escobar |
| wikkitidy | 0.1.12 | Tidy Analysis of Wikipedia | Michael Falk |
| wilcoxmed | 0.0.1 | Computes Values for the 1-Sample Wilcoxon Sign Rank Test for
Medians | Dion Kwan |
| wildcard | 1.1.0 | Templates for Data Frames | William Michael Landau |
| wildlifeDI | 1.0.0 | Calculate Indices of Dynamic Interaction for Wildlife Tracking
Data | Jed Long |
| wildmeta | 0.3.2 | Cluster Wild Bootstrapping for Meta-Analysis | Megha Joshi |
| wildpoker | 1.1 | Best Hand Analysis for Poker Variants Including Wildcards | Bradley Shanrock-Solberg |
| wildrwolf | 0.6.1 | Fast Computation of Romano-Wolf Corrected p-Values for Linear
Regression Models | Alexander Fischer |
| wilson | 2.4.2 | Web-Based Interactive Omics Visualization | Hendrik Schultheis |
| winch | 0.1.1 | Portable Native and Joint Stack Traces | Kirill Müller |
| windAC | 1.2.10 | Area Correction Methods | Daniel Riser-Espinoza |
| WindCurves | 0.2 | Tool to Fit Wind Turbine Power Curves | Neeraj Bokde |
| windex | 2.0.7 | Analysing Convergent Evolution using the Wheatsheaf Index | Kevin Arbuckle |
| windows.pls | 0.1.0 | Segmentation Approaches in Chemometrics | Elia Gonzato |
| windsoraiR | 0.1.2 | Access the 'Windsor.ai' API | Novica Nakov |
| wINEQ | 1.2.0 | Inequality Measures for Weighted Data | Sebastian Wójcik |
| winfapReader | 0.1-5 | Interact with Peak Flow Data in the United Kingdom | Ilaria Prosdocimi |
| wingen | 2.1.1 | Continuous Mapping of Genetic Diversity | Anusha Bishop |
| WinRatio | 1.0 | Win Ratio for Prioritized Outcomes and 95% Confidence Interval | Kevin Duarte |
| WINS | 1.4 | The R WINS Package | Ying Cui |
| wiqid | 0.3.3 | Quick and Dirty Estimates for Wildlife Populations | Ngumbang Juat |
| wISAM | 0.2.8 | Weighted Inbred Strain Association Mapping | Robert W. Cort |
| withdots | 0.1.1 | Put ... in a Function's Argument List | Nikolas Ivan Krieger |
| withr | 3.0.0 | Run Code 'With' Temporarily Modified Global State | Lionel Henry |
| wk | 0.9.1 | Lightweight Well-Known Geometry Parsing | Dewey Dunnington |
| wkb | 0.4-0 | Convert Between Spatial Objects and Well-Known Binary Geometry | Ian Cook |
| wktmo | 1.0.5 | Converting Weekly Data to Monthly Data | You Li |
| wkutils | 0.1.3 | Utilities for Well-Known Geometry Vectors | Dewey Dunnington |
| WLogit | 2.1 | Variable Selection in High-Dimensional Logistic Regression
Models using a Whitening Approach | Wencan Zhu |
| WLreg | 1.0.0.1 | Regression Analysis Based on Win Loss Endpoints | Xiaodong Luo |
| wmm | 1.1.1 | World Magnetic Model | Will Frierson |
| wmwpow | 0.1.3 | Precise and Accurate Power of the Wilcoxon-Mann-Whitney Rank-Sum
Test for a Continuous Variable | Ilana Trumble |
| WMWssp | 0.4.0 | Wilcoxon-Mann-Whitney Sample Size Planning | Martin Happ |
| wnl | 0.8.0 | Minimization Tool for Pharmacokinetic-Pharmacodynamic Data
Analysis | Kyun-Seop Bae |
| wNNSel | 0.1 | Weighted Nearest Neighbor Imputation of Missing Values using
Selected Variables | Shahla Faisal |
| wnominate | 1.4 | Roll Call Analysis Software | Jeffrey B. Lewis |
| wodds | 0.1.0 | Calculates Whisker Odds | Alex Hallam |
| woe | 0.2 | Computes Weight of Evidence and Information Values | Sudarson Mothilal Thoppay |
| woeBinning | 0.1.6 | Supervised Weight of Evidence Binning of Numeric Variables and
Factors | Thilo Eichenberg |
| womblR | 1.0.5 | Spatiotemporal Boundary Detection Model for Areal Unit Data | Samuel I. Berchuck |
| WoodburyMatrix | 0.0.3 | Fast Matrix Operations via the Woodbury Matrix Identity | Michael Bertolacci |
| WoodSimulatR | 0.6.1 | Generate Simulated Sawn Timber Strength Grading Data | Andreas Weidenhiller |
| woodValuationDE | 1.0.1 | Wood Valuation Germany | Jasper M. Fuchs |
| wooldridge | 1.4-3 | 115 Data Sets from "Introductory Econometrics: A Modern
Approach, 7e" by Jeffrey M. Wooldridge | Justin M. Shea |
| worcs | 0.1.14 | Workflow for Open Reproducible Code in Science | Caspar J. Van Lissa |
| word.alignment | 1.1 | Computing Word Alignment Using IBM Model 1 (and Symmetrization)
for a Given Parallel Corpus and Its Evaluation | Neda Daneshgar |
| word2vec | 0.4.0 | Distributed Representations of Words | Jan Wijffels |
| wordcloud | 2.6 | Word Clouds | Ian Fellows |
| wordcloud2 | 0.2.1 | Create Word Cloud by 'htmlwidget' | Dawei Lang |
| wordler | 0.3.1 | The 'WORDLE' Game | David Smith |
| wordnet | 0.1-16 | WordNet Interface | Kurt Hornik |
| WordOfMouth | 1.1.0 | Estimates Economic Variables for Word-of-Mouth-Campaigns | Michael Scholz |
| wordpiece | 2.1.3 | R Implementation of Wordpiece Tokenization | Jonathan Bratt |
| wordpiece.data | 2.0.0 | Data for Wordpiece-Style Tokenization | Jon Harmon |
| WordPools | 1.2.0 | Word Pools Used in Studies of Learning and Memory | Michael Friendly |
| wordpredictor | 0.0.3 | Develop Text Prediction Models Based on N-Grams | Nadir Latif |
| wordPuzzleR | 0.1.1 | Word Puzzle Game | Xiurui Zhu |
| WordR | 0.3.6 | Rendering Word Documents with R Inline Code | Tomas Hovorka |
| words | 1.0.1 | List of English Words from the Scrabble Dictionary | Conor Neilson |
| wordsalad | 0.2.0 | Provide Tools to Extract and Analyze Word Vectors | Emil Hvitfeldt |
| wordspace | 0.2-8 | Distributional Semantic Models in R | Stephanie Evert |
| workflowr | 1.7.1 | A Framework for Reproducible and Collaborative Data Science | John Blischak |
| workflows | 1.1.4 | Modeling Workflows | Simon Couch |
| workflowsets | 1.1.0 | Create a Collection of 'tidymodels' Workflows | Simon Couch |
| workloopR | 1.1.4 | Analysis of Work Loops and Other Data from Muscle Physiology
Experiments | Vikram B. Baliga |
| WorldFlora | 1.14-2 | Standardize Plant Names According to World Flora Online
Taxonomic Backbone | Roeland Kindt |
| worldfootballR | 0.6.2 | Extract and Clean World Football (Soccer) Data | Jason Zivkovic |
| WorldMapR | 0.1.0 | Worldwide or Coordinates-Based Heat Maps | Luigi Annicchiarico |
| worldmet | 0.9.8 | Import Surface Meteorological Data from NOAA Integrated Surface
Database (ISD) | David Carslaw |
| WormTensor | 0.1.0 | A Clustering Method for Time-Series Whole-Brain Activity Data of
'C. elegans' | Kentaro Yamamoto |
| worrms | 0.4.3 | World Register of Marine Species (WoRMS) Client | Bart Vanhoorne. |
| worrrd | 0.1.0 | Generate Wordsearch and Crossword Puzzles | Anthony Pileggi |
| wosr | 0.3.0 | Clients to the 'Web of Science' and 'InCites' APIs | Christopher Baker |
| WOTPLY | 0.1.0 | Plot Connectivity Between Cells from Different Time Points | Gabriele Lubatti |
| wowa | 1.0.2 | Weighted Ordered Weighted Average | Gleb Beliakov |
| woylier | 0.0.5 | Alternative Tour Frame Interpolation Method | Zola Batsaikan |
| wpa | 1.9.0 | Tools for Analysing and Visualising Viva Insights Data | Martin Chan |
| wPerm | 1.0.1 | Permutation Tests | Neil A. Weiss |
| WPKDE | 0.1 | Weighted Piecewise Kernel Density Estimation | Kunyu Ye |
| wpp2008 | 1.0-1 | World Population Prospects 2008 | Hana Sevcikova |
| wpp2010 | 1.2-0 | World Population Prospects 2010 | Hana Sevcikova |
| wpp2012 | 2.2-1 | World Population Prospects 2012 | Hana Sevcikova |
| wpp2015 | 1.1-2 | World Population Prospects 2015 | Hana Sevcikova |
| wpp2017 | 1.2-3 | World Population Prospects 2017 | Hana Sevcikova |
| wpp2019 | 1.1-1 | World Population Prospects 2019 | Hana Sevcikova |
| wppExplorer | 2.3-4 | Explorer of World Population Prospects | Hana Sevcikova |
| WpProj | 0.2.1 | Linear p-Wasserstein Projections | Eric Dunipace |
| wqs | 0.0.1 | Weighted Quantile Sum Regression | Jenna Czarnota |
| wqspt | 1.0.1 | Permutation Test for Weighted Quantile Sum Regression | Drew Day |
| wqtrends | 1.4.2 | Assess Water Quality Trends with Generalized Additive Models | Marcus Beck |
| WR | 1.0 | Win Ratio Analysis of Composite Time-to-Event Outcomes | Lu Mao |
| wrangle | 0.6.4 | A Systematic Data Wrangling Idiom | Tim Bergsma |
| wrappedtools | 0.9.5 | Useful Wrappers Around Commonly Used Functions | Andreas Busjahn |
| wrappr | 0.1.0 | A Collection of Helper and Wrapper Functions | John Piper |
| wrapr | 2.1.0 | Wrap R Tools for Debugging and Parametric Programming | John Mount |
| wrassp | 1.0.5 | Interface to the 'ASSP' Library | Markus Jochim |
| WrensBookshelf | 0.1.0 | A Collection of Palettes and Some Functions to Help Use Them | Benjamin Uveges |
| WRestimates | 0.1.0 | Sample Size, Power and CI for the Win Ratio | Autumn O'Donnell |
| wrGraph | 1.3.7 | Graphics in the Context of Analyzing High-Throughput Data | Wolfgang Raffelsberger |
| WRI | 0.2.0 | Wasserstein Regression and Inference | Xi Liu |
| WrightMap | 1.3 | IRT Item-Person Map with 'ConQuest' Integration | David Torres Irribarra |
| write.snns | 0.0-4.2 | Function for exporting data to SNNS pattern files. | Manuel Castejon Limas |
| writexl | 1.5.0 | Export Data Frames to Excel 'xlsx' Format | Jeroen Ooms |
| WriteXLS | 6.5.0 | Cross-Platform Perl Based R Function to Create Excel 2003 (XLS)
and Excel 2007 (XLSX) Files | Marc Schwartz |
| wrMisc | 1.14.2 | Analyze Experimental High-Throughput (Omics) Data | Wolfgang Raffelsberger |
| wrProteo | 1.11.0.1 | Proteomics Data Analysis Functions | Wolfgang Raffelsberger |
| WRS2 | 1.1-6 | A Collection of Robust Statistical Methods | Patrick Mair |
| WRSS | 3.1 | Water Resources System Simulator | Rezgar Arabzadeh |
| wrswoR | 1.1.1 | Weighted Random Sampling without Replacement | Kirill Müller |
| WRTDStidal | 1.1.4 | Weighted Regression for Water Quality Evaluation in Tidal Waters | Marcus W. Beck |
| wrTopDownFrag | 1.0.2 | Internal Fragment Identification from Top-Down Mass Spectrometry | Wolfgang Raffelsberger |
| wru | 3.0.2 | Who are You? Bayesian Prediction of Racial Category Using
Surname, First Name, Middle Name, and Geolocation | Brandon Bertelsen |
| wsbackfit | 1.0-5 | Weighted Smooth Backfitting for Structured Models | Javier Roca-Pardinas |
| WSGeometry | 1.2.1 | Geometric Tools Based on Balanced/Unbalanced Optimal Transport | Florian Heinemann |
| wsjplot | 0.1.0 | Style Time Series Plots Like the Wall Street Journal | Stephen Lee |
| wskm | 1.4.40 | Weighted k-Means Clustering | He Zhao |
| wsprv | 0.1.0 | Weighted Selection Probability for Rare Variant Analysis | Xianglong Liang |
| wsrf | 1.7.30 | Weighted Subspace Random Forest for Classification | He Zhao |
| wsyn | 1.0.4 | Wavelet Approaches to Studies of Synchrony in Ecology and Other
Fields | Daniel C. Reuman |
| wtest | 3.2 | The W-Test for Genetic Interactions Testing | Rui Sun |
| wTO | 2.0.2 | Computing Weighted Topological Overlaps (wTO) & Consensus wTO
Network | Deisy Morselli Gysi |
| WtTopsis | 1.0 | Weighted Method for Multiple-Criteria Decision Making | zhengyu wu |
| WufooR | 1.0.1 | R Wrapper for the 'Wufoo.com' - The Form Building Service | John Malc |
| wv | 0.1.2 | Wavelet Variance | Stéphane Guerrier |
| WVPlots | 1.3.7 | Common Plots for Analysis | John Mount |
| WWGbook | 1.0.2 | Functions and Datasets for WWGbook | Shu Chen |
| wwntests | 1.1.0 | Hypothesis Tests for Functional Time Series | Mihyun Kim |
| wxgenR | 1.3.6 | A Stochastic Weather Generator with Seasonality | David Woodson |
| wyz.code.metaTesting | 1.1.22 | Wizardry Code Meta Testing | Fabien Gelineau |
| wyz.code.offensiveProgramming | 1.1.24 | Wizardry Code Offensive Programming | Fabien Gelineau |
| wyz.code.rdoc | 1.1.19 | Wizardry Code Offensive Programming R Documentation | Fabien Gelineau |
| wyz.code.testthat | 1.1.20 | Wizardry Code Offensive Programming Test Generation | Fabien Gelineau |
| x.ent | 1.1.7 | eXtraction of ENTity | Tien T. Phan |
| x12 | 1.10.3 | Interface to 'X12-ARIMA'/'X13-ARIMA-SEATS' and Structure for
Batch Processing of Seasonal Adjustment | Alexander Kowarik |
| x13binary | 1.1.60 | Provide the 'x13ashtml' Seasonal Adjustment Binary | Dirk Eddelbuettel |
| x3ptools | 0.0.4 | Tools for Working with 3D Surface Measurements | Heike Hofmann |
| xadmix | 1.0.0 | Subsetting and Plotting Optimized for Admixture Data | Lukas Schönmann |
| xaringan | 0.30 | Presentation Ninja | Yihui Xie |
| xaringanExtra | 0.7.0 | Extras and Extensions for 'xaringan' Slides | Garrick Aden-Buie |
| xaringanthemer | 0.4.2 | Custom 'xaringan' CSS Themes | Garrick Aden-Buie |
| XBRL | 0.99.19.1 | Extraction of Business Financial Information from 'XBRL'
Documents | Roberto Bertolusso |
| xdcclarge | 0.1.0 | Estimating a (c)DCC-GARCH Model in Large Dimensions | Kei Nakagawa |
| xefun | 0.1.5 | X-Engineering or Supporting Functions | Shichen Xie |
| xega | 0.9.0.0 | Extended Evolutionary and Genetic Algorithms | Andreas Geyer-Schulz |
| xegaBNF | 1.0.0.0 | Compile a Backus-Naur Form Specification into an R Grammar
Object | Andreas Geyer-Schulz |
| xegaDerivationTrees | 1.0.0.0 | Generating and Manipulating Derivation Trees | Andreas Geyer-Schulz |
| xegaDfGene | 1.0.0.0 | Gene Operations for Real-Coded Genes | Andreas Geyer-Schulz |
| xegaGaGene | 1.0.0.1 | Binary Gene Operations for Genetic Algorithms | Andreas Geyer-Schulz |
| xegaGeGene | 1.0.0.0 | Grammatical Evolution | Andreas Geyer-Schulz |
| xegaGpGene | 1.0.0.0 | Genetic Operations for Grammar-Based Genetic Programming | Andreas Geyer-Schulz |
| xegaPermGene | 1.0.0.0 | Operations on Permutation Genes | Andreas Geyer-Schulz |
| xegaPopulation | 1.0.0.0 | Genetic Population Level Functions | Andreas Geyer-Schulz |
| xegaSelectGene | 1.0.0.0 | Selection of Genes and Gene Representation Independent Functions | Andreas Geyer-Schulz |
| xergm.common | 1.7.8 | Common Infrastructure for Extensions of Exponential Random Graph
Models | Philip Leifeld |
| xesreadR | 0.2.3 | Read and Write XES Files | Gert Janssenswillen |
| xfun | 0.43 | Supporting Functions for Packages Maintained by 'Yihui Xie' | Yihui Xie |
| xgb2sql | 0.1.2 | Convert Trained 'XGBoost' Model to SQL Query | Chengjun Hou |
| xgboost | 1.7.7.1 | Extreme Gradient Boosting | Jiaming Yuan |
| xgrove | 0.1-7 | Explanation Groves | Gero Szepannek |
| xgxr | 1.1.2 | Exploratory Graphics for Pharmacometrics | Andrew Stein |
| xhaz | 2.0.1 | Excess Hazard Modelling Considering Inappropriate Mortality
Rates | Juste Goungounga |
| XICOR | 0.4.1 | Association Measurement Through Cross Rank Increments | Susan Holmes |
| XiMpLe | 0.11-2 | A Simple XML Tree Parser and Generator | Meik Michalke |
| xkcd | 0.0.6 | Plotting ggplot2 Graphics in an XKCD Style | Emilio Torres-Manzanera |
| xkcdcolors | 1.0 | Color Names from the XKCD Color Survey | Thomas Lumley |
| XKCDdata | 0.1.0 | Get XKCD Comic Data | Robert Myles McDonnell |
| XLConnect | 1.0.8 | Excel Connector for R | Martin Studer |
| xlcutter | 0.1.1 | Parse Batches of 'xlsx' Files Based on a Template | Hugo Gruson |
| xlink | 1.0.1 | Genetic Association Models for X-Chromosome SNPS on Continuous,
Binary and Survival Outcomes | Yi Zhu |
| xLLiM | 2.3 | High Dimensional Locally-Linear Mapping | Emeline Perthame |
| XLS | 0.1.0 | A Modeling Approach that Optimizes Future Errors in Least
Squares | Samet Sokel |
| xlsx | 0.6.5 | Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files | Cole Arendt |
| xlsx2dfs | 0.1.0 | Read and Write 'Excel' Sheets into and from List of Data Frames | Gwang-Jin Kim |
| xlsxjars | 0.6.1 | Package required POI jars for the xlsx package | Adrian A. Dragulescu |
| xmeta | 1.3.2 | A Toolbox for Multivariate Meta-Analysis | Jiajie Chen |
| XML | 3.99-0.16.1 | Tools for Parsing and Generating XML Within R and S-Plus | CRAN Team |
| xml2 | 1.3.6 | Parse XML | Hadley Wickham |
| xml2relational | 0.1.1 | Converting XML Documents into Relational Data Models | Joachim Zuckarelli |
| xmlconvert | 0.1.2 | Comfortably Converting XML Documents to Dataframes and Vice
Versa | Joachim Zuckarelli |
| xmlparsedata | 1.0.5 | Parse Data of 'R' Code as an 'XML' Tree | Gábor Csárdi |
| xmlr | 0.1.2 | Read, Write and Work with 'XML' Data | Per Nyfelt |
| xmlrpc2 | 1.1 | Implementation of the Remote Procedure Call Protocol ('XML-RPC') | Florian Schwendinger |
| xmpdf | 0.2.1 | Edit 'XMP' Metadata and 'PDF' Bookmarks and Documentation Info | Trevor L Davis |
| xmrr | 1.1.1 | Generate XMR Control Chart Data from Time-Series Data | Alex Zanidean |
| xnet | 0.1.11 | Two-Step Kernel Ridge Regression for Network Predictions | Joris Meys |
| XNomial | 1.0.4 | Exact Goodness-of-Fit Test for Multinomial Data with Fixed
Probabilities | Bill Engels |
| xoi | 0.72 | Tools for Analyzing Crossover Interference | Karl W Broman |
| xopen | 1.0.0 | Open System Files, 'URLs', Anything | Gábor Csárdi |
| xpectr | 0.4.3 | Generates Expectations for 'testthat' Unit Testing | Ludvig Renbo Olsen |
| xplain | 0.2.2 | Providing Interactive Interpretations and Explanations of
Statistical Results | Joachim Zuckarelli |
| xplorerr | 0.1.2 | Tools for Interactive Data Exploration | Aravind Hebbali |
| Xplortext | 1.5.3 | Statistical Analysis of Textual Data | Ramón Alvarez-Esteban |
| xportr | 0.4.0 | Utilities to Output CDISC SDTM/ADaM XPT Files | Eli Miller |
| xpose | 0.4.18 | Diagnostics for Pharmacometric Models | Benjamin Guiastrennec |
| xpose.nlmixr2 | 0.4.0 | Graphical Diagnostics for Pharmacometric Models: Extension to
'nlmixr2' | Justin Wilkins |
| xpose4 | 4.7.3 | Diagnostics for Nonlinear Mixed-Effect Models | Andrew C. Hooker |
| XR | 0.7.2 | A Structure for Interfaces from R | John Chambers |
| xray | 0.2 | X Ray Vision on your Datasets | Pablo Seibelt |
| xrf | 0.2.2 | eXtreme RuleFit | Karl Holub |
| xRing | 0.1.1 | Identify and Measure Tree Rings on X-Ray Micro-Density Profiles | Filipe Campelo |
| XRJulia | 0.9.0 | Structured Interface to Julia | John Chambers |
| xrnet | 0.1.7 | Hierarchical Regularized Regression | Garrett Weaver |
| XRPython | 0.8 | Structured Interface to 'Python' | John Chambers |
| XRSCC | 0.1 | Statistical Quality Control Simulation | Erick Marroquin |
| xslt | 1.4.4 | Extensible Style-Sheet Language Transformations | Jeroen Ooms |
| xsp | 0.1.2 | The Chi-Square Periodogram | Hitoshi Iuchi |
| xSub | 3.0.2 | Cross-National Data on Sub-National Violence | Yuri Zhukov |
| xtable | 1.8-4 | Export Tables to LaTeX or HTML | David Scott |
| xtal | 1.15 | Crystallization Toolset | Qingan Sun |
| xtranat | 0.1.0 | Network Metrics Based on Random Walks | Fernando DePaolis |
| xts | 0.13.2 | eXtensible Time Series | Joshua M. Ulrich |
| xtsum | 0.1.0 | Summary Statistics for Panel Data | Joao Claudio Macosso |
| xtune | 2.0.0 | Regularized Regression with Feature-Specific Penalties
Integrating External Information | Jingxuan He |
| xutils | 0.0.2 | Utility Functions of Fangzhou Xie | Fangzhou Xie |
| xVA | 1.1 | Calculates Credit Risk Valuation Adjustments | Tasos Grivas |
| xwf | 0.2-3 | Extrema-Weighted Feature Extraction | Willem van den Boom |
| xxhashlite | 0.2.2 | Extremely Fast Hashing of R Objects, Raw Data and Files using
'xxHash' Algorithms | Mike Cheng |
| xxIRT | 2.1.2 | Item Response Theory and Computer-Based Testing in R | Xiao Luo |
| yacca | 1.4-2 | Yet Another Canonical Correlation Analysis Package | Carter T. Butts |
| yaConsensus | 1.0 | Consensus Clustering of Omic Data | Stefano Maria Pagnotta |
| yager | 0.1.1 | Yet Another General Regression Neural Network | WenSui Liu |
| yahoofinancer | 0.3.0 | Fetch Data from Yahoo Finance API | Aravind Hebbali |
| yaImpute | 1.0-34 | Nearest Neighbor Observation Imputation and Evaluation Tools | Jeffrey S. Evans |
| YaleToolkit | 4.2.3 | Data Exploration Tools from Yale University | John W. Emerson |
| yaml | 2.3.8 | Methods to Convert R Data to YAML and Back | Shawn Garbett |
| yamlet | 1.0.3 | Versatile Curation of Table Metadata | Tim Bergsma |
| yamlme | 0.1.2 | Writing 'YAML' Headers for 'R-Markdown' Documents | Miguel Alvarez |
| yardstick | 1.3.1 | Tidy Characterizations of Model Performance | Emil Hvitfeldt |
| yarr | 0.1.2 | Yet Another 'ARFF' Reader | David Charte |
| yarrr | 0.1.5 | A Companion to the e-Book "YaRrr!: The Pirate's Guide to R" | Nathaniel Phillips |
| yasp | 0.2.0 | String Functions for Compact R Code | Tomasz Kalinowski |
| yatah | 0.2.1 | Yet Another TAxonomy Handler | Antoine Bichat |
| YatchewTest | 1.0.0 | Yatchew (1997), De Chaisemartin, D'Haultfoeuille & Gurgand
(2024) Linearity Test | Diego Ciccia |
| YatesAlgo.FactorialExp.SR | 4.0.4 | Yates' Algorithm in 2^n Factorial Experiment | Somjit Roy |
| ycevo | 0.1.2 | Nonparametric Estimation of the Yield Curve Evolution | Yangzhuoran Fin Yang |
| yesno | 0.1.2 | Ask Yes-No Questions | Joe Thorley |
| yfR | 1.1.0 | Downloads and Organizes Financial Data from Yahoo Finance | Marcelo Perlin |
| yhat | 2.0-4 | Interpreting Regression Effects | Kim Nimon |
| yhatr | 0.15.1 | R Binder for the Yhat API | Greg Lamp |
| YieldCurve | 5.1 | Modelling and Estimation of the Yield Curve | Sergio Salvino Guirreri |
| yll | 1.0.0 | Compute Expected Years of Life Lost (YLL) and Average YLL | Antoine Soetewey |
| ymd | 0.1.0 | Parse 'YMD' Format Number or String to Date | Xianying Tan |
| Ymisc | 0.1.0 | Miscellaneous Functions | Yoo Ri Hwang |
| ymlthis | 0.1.7 | Write 'YAML' for 'R Markdown', 'bookdown', 'blogdown', and More | Malcolm Barrett |
| ympes | 1.0.0 | Collection of Helper Functions | Tim Taylor |
| yorkr | 0.0.42 | Analyze Cricket Performances Based on Data from Cricsheet | Tinniam V Ganesh |
| youngSwimmers | 0.0.1 | Young Swimmers Dataset | Matías Castillo Aguilar |
| YPBP | 0.0.1 | Yang and Prentice Model with Baseline Distribution Modeled by
Bernstein Polynomials | Fabio Demarqui |
| YPInterimTesting | 1.0.3 | Interim Monitoring Using Adaptively Weighted Log-Rank Test in
Clinical Trials | Daewoo Pak |
| YPmodel | 1.4 | The Short-Term and Long-Term Hazard Ratio Model for Survival
Data | Junlong Sun |
| YPmodelPhreg | 1.0.0 | The Short-Term and Long-Term Hazard Ratio Model with
Proportional Adjustment | Daewoo Pak |
| YPPE | 1.0.1 | Yang and Prentice Model with Piecewise Exponential Baseline
Distribution | Fabio Demarqui |
| ypr | 0.6.0 | Yield Per Recruit | Joe Thorley |
| ypssc | 1.1.0 | Yeast-Proteome Secondary-Structure Calculator | Shashank Kumbhare |
| YRmisc | 0.1.6 | Y&R Miscellaneous R Functions | Xuanhua (Peter) Yin |
| YTAnalytics | 0.1.0 | Wrapper for 'YouTube Analytics' API | Jake Davis |
| yuima | 1.15.27 | The YUIMA Project Package for SDEs | Stefano M. Iacus |
| yuimaGUI | 1.3.1 | A Graphical User Interface for the 'yuima' Package | Emanuele Guidotti |
| yulab.utils | 0.1.4 | Supporting Functions for Packages Maintained by 'YuLab-SMU' | Guangchuang Yu |
| yum | 0.1.0 | Utilities to Extract and Process 'YAML' Fragments | Gjalt-Jorn Peters |
| yyjsonr | 0.1.18 | Fast JSON Parser and Generator | Mike Cheng |
| Z10 | 0.1.0 | Simple Ecological Statistics from the NEON Network | Robert Lee |
| zalpha | 0.3.0 | Run a Suite of Selection Statistics | Clare Horscroft |
| zCompositions | 1.5.0-3 | Treatment of Zeros, Left-Censored and Missing Values in
Compositional Data Sets | Javier Palarea-Albaladejo |
| zctaCrosswalk | 2.0.0 | Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCTAs),
States and Counties | Ari Lamstein |
| zcurve | 2.4.0 | An Implementation of Z-Curves | František Bartoš |
| zdeskR | 0.4.1 | Connect to Your 'Zendesk' Data | Chris Umphlett |
| zeallot | 0.1.0 | Multiple, Unpacking, and Destructuring Assignment | Nathan Teetor |
| ZeBook | 1.1 | Working with Dynamic Models for Agriculture and Environment | Francois Brun |
| zebu | 0.2.2.0 | Local Association Measures | Olivier M. F. Martin |
| zeitgebr | 0.3.5 | Analysis of Circadian Behaviours | Quentin Geissmann |
| zen4R | 0.9 | Interface to 'Zenodo' REST API | Emmanuel Blondel |
| zendeskR | 0.4 | Zendesk API Wrapper | Tanya Cashorali |
| zenplots | 1.0.6 | Zigzag Expanded Navigation Plots | Wayne Oldford |
| zeroEQpart | 0.1.0 | Zero Order vs (Semi) Partial Correlation Test and CI | Dan Richard |
| zerotradeflow | 0.1.0 | An Implementation for the Gravitational Models of Trade | Alexandre Loures |
| zetadiv | 1.2.1 | Functions to Compute Compositional Turnover Using Zeta Diversity | Guillaume Latombe |
| ZetaSuite | 1.0.1 | Analyze High-Dimensional High-Throughput Dataset and Quality
Control Single-Cell RNA-Seq | Junhui Li |
| zfa | 1.1.0 | Zoom-Focus Algorithm | Yexian Zhang |
| zfit | 0.4.0 | Fit Models in a Pipe | Magnus Thor Torfason |
| ZIBR | 1.0.2 | A Zero-Inflated Beta Random Effect Model | Charlie Bushman |
| ZIBseq | 1.2 | Differential Abundance Analysis for Metagenomic Data via
Zero-Inflated Beta Regression | Hongliang Chen<294236451 at qq.com> |
| zic | 0.9.1 | Bayesian Inference for Zero-Inflated Count Models | Markus Jochmann |
| ZillowR | 1.0.0 | R Interface to Zillow Real Estate and Mortgage Data API | Justin Brantley |
| ZIM | 1.1.0 | Zero-Inflated Models (ZIM) for Count Time Series with Excess
Zeros | Ming Yang |
| ZINAR1 | 0.1.0 | Simulates ZINAR(1) Model and Estimates Its Parameters Under
Frequentist Approach | João Vitor Ribeiro |
| ZINARp | 0.1.0 | Simulate INAR/ZINAR(p) Models and Estimate Its Parameters | Tharso Augustus Rossiter Araújo Monteiro |
| zip | 2.3.1 | Cross-Platform 'zip' Compression | Gábor Csárdi |
| zipangu | 0.3.2 | Japanese Utility Functions and Data | Shinya Uryu |
| ZIPBayes | 1.0.2 | Bayesian Methods in the Analysis of Zero-Inflated Poisson Model | Qihuang Zhang |
| zipcodeR | 0.3.5 | Data & Functions for Working with US ZIP Codes | Gavin Rozzi |
| ZIPFA | 0.8.1 | Zero Inflated Poisson Factor Analysis | Tianchen Xu |
| zipfextR | 1.0.2 | Zipf Extended Distributions | Ariel Duarte-López |
| zipfR | 0.6-70 | Statistical Models for Word Frequency Distributions | Stefan Evert |
| ZIPG | 1.1 | Zero-Inflated Poisson-Gamma Regression | Roulan Jiang |
| zipR | 0.1.1 | Pythonic Zip() for R | Leslie Huang |
| ZIprop | 0.1.1 | Permutations Tests and Performance Indicator for Zero-Inflated
Proportions Response | Melina Ribaud |
| zipsae | 1.0.2 | Small Area Estimation with Zero-Inflated Model | Fadheel Wisnu Utomo <221709671 at stis.ac.id> |
| ZLAvian | 0.1.0 | Zipf's Law of Abbreviation in Animal Vocalisations | CD Durrant |
| zlib | 1.0.3 | Compression and Decompression | Semjon Geist |
| zlog | 1.0.2 | Z(log) Transformation for Laboratory Measurements | Sebastian Gibb |
| zmisc | 0.2.3 | Vector Look-Ups and Safer Sampling | Magnus Thor Torfason |
| zoeppritz | 1.0-9 | Seismic Reflection and Scattering Coefficients | Jonathan M. Lees |
| zoib | 1.6 | Bayesian Inference for Beta Regression and Zero-or-One Inflated
Beta Regression | Fang Liu |
| zoid | 1.3.1 | Bayesian Zero-and-One Inflated Dirichlet Regression Modelling | Eric J. Ward |
| zoltr | 0.5.1 | Interface to the 'Zoltar' Forecast Repository API | Matthew Cornell |
| zonebuilder | 0.0.2 | Create and Explore Geographic Zoning Systems | Robin Lovelace |
| zonohedra | 0.2-2 | Compute and Plot Zonohedra from Vector Generators | Glenn Davis |
| zoo | 1.8-12 | S3 Infrastructure for Regular and Irregular Time Series (Z's
Ordered Observations) | Achim Zeileis |
| ZooID | 0.2.0 | Load, Segment and Classify Zooplankton Images | Arick Grootveld |
| zooimage | 5.5.2 | Analysis of Numerical Plankton Images | Philippe Grosjean |
| zoolog | 1.1.0 | Zooarchaeological Analysis with Log-Ratios | Jose M Pozo |
| zoom | 2.0.6 | A Spatial Data Visualization Tool | Corentin M Barbu |
| zoomerjoin | 0.1.4 | Superlatively Fast Fuzzy Joins | Beniamino Green |
| zoomGroupStats | 0.1.0 | Analyze Text, Audio, and Video from 'Zoom' Meetings | Andrew Knight |
| zoomr | 0.3.0 | Connect to Your 'Zoom' Data | Chris Umphlett |
| ZRA | 0.2 | Dynamic Plots for Time Series Forecasting | David Beiner |
| zscorer | 0.3.1 | Child Anthropometry z-Score Calculator | Ernest Guevarra |
| Zseq | 0.2.1 | Integer Sequence Generator | Kisung You |
| ztable | 0.2.3 | Zebra-Striped Tables in LaTeX and HTML Formats | Keon-Woong Moon |
| ztpln | 0.1.2 | Zero-Truncated Poisson Lognormal Distribution | Masatoshi Katabuchi |
| zTree | 1.0.7 | Functions to Import Data from 'z-Tree' into R | Oliver Kirchkamp |
| ztype | 0.1.0 | Run a Ztype Game Loaded with R Functions | Vincent Guyader |
| ZVCV | 2.1.2 | Zero-Variance Control Variates | Leah F. South |
| zyp | 0.11-1 | Zhang + Yue-Pilon Trends Package | Lee Zeman |
| zzlite | 0.1.2 | Lite Wrapper for the 'Zamzar File Conversion' API | Frederik Kok Hansen |